# COMPSCI/MATH/STAT 475: Introduction to Combinatorics | UW–Madison [View on UW Courses](https://uwcourses.com/courses/COMPSCI_MATH_STAT_475) ## Dataset ### revision e243353dcb7d79b7247ced91d69443ef4c2a6349 ### repository twangodev/uwcourses ### schema version 6 ### importer version 7 ### projection id 52a78527ff09011d88cb04c7d43867d9fbfec2930bf1dd2ec359ebd2844e0b07 ### observed at 2026-09-07T15:55:43.033547+00:00 ### built at 2026-09-10T19:50:42.743001+00:00 ### courses 8951 ### current instructors 5754 ### limited false ### terms * 1272 * 1264 * 1262 * 1254 * 1252 * 1244 * 1242 * 1234 * 1232 * 1224 * 1222 * 1212 * 1204 * 1202 * 1194 * 1192 * 1184 * 1182 * 1174 * 1172 * 1164 * 1162 * 1154 * 1152 * 1144 * 1142 * 1134 * 1132 * 1124 * 1122 * 1114 * 1112 * 1104 * 1102 * 1094 * 1092 * 1084 * 1082 * 1074 * 1072 ### term 1272 ### departments | subject | count | | --------- | ----- | | AAE | 90 | | ABT | 20 | | ACCTIS | 36 | | ACTSCI | 14 | | AFAERO | 10 | | AFRICAN | 87 | | AFROAMER | 71 | | AGROECOL | 21 | | AMERIND | 53 | | ANAT\&PHY | 7 | | ANATOMY | 2 | | ANESTHES | 8 | | ANSCI | 57 | | ANTHRO | 95 | | ART | 125 | | ARTED | 10 | | ARTHIST | 121 | | ASIALANG | 129 | | ASIAN | 109 | | ASIANAM | 28 | | ASTRON | 38 | | ATMOCN | 69 | | BIOCHEM | 51 | | BIOCORE | 10 | | BIOLOGY | 14 | | BIOMDSCI | 18 | | BME | 66 | | BMI | 41 | | BMOLCHEM | 10 | | BOTANY | 69 | | BSE | 44 | | C\&ESOC | 73 | | CBE | 48 | | CHEM | 101 | | CHICLA | 52 | | CIVENGR | 133 | | CLASSICS | 47 | | CNP | 10 | | CNSRSCI | 50 | | COMARTS | 137 | | COMPBIO | 15 | | COMPLIT | 11 | | COMPSCI | 138 | | COUNPSY | 78 | | CRB | 19 | | CS\&D | 71 | | CSCS | 40 | | CURRIC | 193 | | DANCE | 93 | | DERM | 8 | | DS | 88 | | DYSCI | 35 | | ECE | 155 | | ECON | 145 | | EDPOL | 114 | | EDPSYCH | 97 | | ELPA | 70 | | EMA | 53 | | EMERMED | 17 | | ENGL | 206 | | ENTOM | 40 | | ENVIRST | 148 | | EP | 15 | | EPD | 67 | | ESL | 16 | | F\&WECOL | 60 | | FAMMED | 22 | | FINANCE | 50 | | FOLKLORE | 40 | | FOODSCI | 43 | | FRENCH | 63 | | GEN\&WS | 145 | | GENBUS | 72 | | GENECSLR | 17 | | GENETICS | 60 | | GEOG | 113 | | GEOSCI | 83 | | GERMAN | 82 | | GLE | 48 | | GNS | 38 | | GREEK | 27 | | HDFS | 41 | | HEBR-BIB | 13 | | HEBR-MOD | 10 | | HISTORY | 233 | | HISTSCI | 56 | | HONCOL | 13 | | ILS | 43 | | INFOSYS | 9 | | INTEGART | 7 | | INTEGSCI | 22 | | INTER-AG | 18 | | INTER-HE | 11 | | INTER-LS | 22 | | INTEREGR | 16 | | INTLBUS | 21 | | INTLST | 50 | | ISYE | 83 | | ITALIAN | 53 | | JEWISH | 56 | | JOURN | 88 | | KINES | 128 | | LACIS | 26 | | LANDARC | 61 | | LATIN | 24 | | LAW | 120 | | LEGALST | 48 | | LINGUIS | 35 | | LIS | 89 | | LITTRANS | 78 | | LSC | 52 | | M\&ENVTOX | 7 | | MARKETNG | 62 | | MATH | 153 | | MDGENET | 8 | | ME | 130 | | MEDHIST | 43 | | MEDICINE | 60 | | MEDIEVAL | 32 | | MEDPHYS | 39 | | MEDSC-M | 29 | | MEDSC-V | 41 | | MHR | 68 | | MICROBIO | 45 | | MILSCI | 16 | | MM\&I | 22 | | MOLBIOL | 6 | | MS\&E | 59 | | MUSIC | 165 | | MUSPERF | 126 | | NAVSCI | 20 | | NE | 44 | | NEURODPT | 11 | | NEUROL | 7 | | NEURSURG | 4 | | NTP | 11 | | NURSING | 111 | | NUTRSCI | 65 | | OBS\&GYN | 18 | | OCCTHER | 39 | | ONCOLOGY | 14 | | OPHTHALM | 5 | | OTM | 43 | | PATH | 34 | | PATH-BIO | 29 | | PEDIAT | 26 | | PHARMACY | 31 | | PHILOS | 77 | | PHMCOL-M | 11 | | PHMPRAC | 45 | | PHMSCI | 60 | | PHYASST | 37 | | PHYSICS | 88 | | PHYSIOL | 3 | | PHYTHER | 37 | | PLANTSCI | 52 | | PLPATH | 35 | | POLISCI | 192 | | POPHLTH | 58 | | PORTUG | 33 | | PSYCH | 101 | | PSYCHIAT | 22 | | PUBAFFR | 54 | | PUBLHLTH | 23 | | RADIOL | 11 | | REALEST | 41 | | RELIGST | 90 | | RHABMED | 9 | | RMI | 24 | | RP\&SE | 102 | | S\&APHM | 17 | | SCANDST | 73 | | SLAVIC | 89 | | SOC | 149 | | SOCWORK | 87 | | SOILSCI | 46 | | SPANISH | 83 | | SRMED | 21 | | STAT | 94 | | STDYABRD | 52 | | STS | 8 | | SURGERY | 25 | | SURGSCI | 33 | | THEATRE | 91 | | URBRPL | 60 | | UROLOGY | 5 | | ZOOLOGY | 89 | ## course ### run id 20260907T155543-ce3781c4 ### semester 1272 ### observed at 2026-09-07 15:55:43.033547+00:00 ### record version id 4a6b913d95cbc64d02e3a17600c46db4bbbe08e0656e2572f5ccd968ad219441 ### course id COMPSCI/MATH/STAT 475 ### course uid course\_63c43e7ac8225e2773df74d8 ### catalog version id da72f96f87368bcc078e38cad1a330c22fb03596251246bce45286940f273c1a ### course number 475 ### subjects * COMPSCI * MATH * STAT ### title INTRODUCTION TO COMBINATORICS ### description Problems of enumeration, distribution, and arrangement. Inclusion-exclusion principle. Generating functions and linear recurrence relations. Combinatorial identities. Graph coloring problems. Finite designs. Systems of distinct representatives and matching problems in graphs. Potential applications in the social, biological, and physical sciences. Puzzles. Problem solving. ### requirements text (MATH 320,340,341,345, or375), graduate/professional standing, or declared in Mathematics VISP (undergraduate or graduate) ### credits min 3 ### credits max 3 ### credit offering ids * 1272:266:011675 * 1272:600:011675 * 1272:932:011675 ### llm job id enrich-99e41f03bdbd6b0de28789ff ### llm output id eadb032d2d7f1080515df2a5bbd69f58ffdad98bcaf83e862229da91d7af53ee ### llm model nvidia/Qwen3.6-35B-A3B-NVFP4 ### llm model revision 1355db6a052410cfd62085d94b58866fd0f2c3c5 ### llm task version 14 ### llm search status valid ### llm summary Introduction to combinatorics covering enumeration, generating functions, graph theory, and matching problems. ### llm topics * Enumeration, distribution, and arrangement * Inclusion-exclusion principle * Generating functions and linear recurrence relations * Combinatorial identities * Graph coloring problems * Finite designs * Systems of distinct representatives and matching problems * Applications in sciences and puzzles ### llm skills * Solving enumeration and arrangement problems * Applying the inclusion-exclusion principle * Using generating functions and recurrence relations * Deriving and using combinatorial identities * Solving graph coloring problems * Analyzing systems of distinct representatives and graph matchings * Studying finite designs * General problem solving techniques ### llm assumed background * Linear algebra and mathematical proof techniques * Multi-variable calculus and vector analysis ### llm search phrases * combinatorics course * enumeration and arrangement math * graph coloring combinatorics * generating functions course * discrete math advanced ### llm requirements status valid ### llm student summary status valid ### llm experience status valid ### catalog variants None recorded. ### student summary #### context hash 4778f5f53391648bf45c5a3e89fd9c0eeb1f9e29272a38c5861a0b15b4d1e013 #### course id COMPSCI/MATH/STAT 475 #### current instructors ```json [ { "instructor_uid": "instructor_3eeb755915088b19ce4d0e3c", "message": null, "name": "Mitch Keller", "review_status": "supported", "rmp_instructor_id": "rmp:2872701", "summary": [ { "citations": [ { "instructor_name": "Mitch Keller", "review_date": "2023-12-19 20:07:49 +0000 UTC", "review_id": "4248010302b4c82698f22dbd", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2872701", "source_review_id": "UmF0aW5nLTM4NzQ1MTIx", "source_url": "https://www.ratemyprofessors.com/professor/2872701", "type": "review" }, { "instructor_name": "Mitch Keller", "review_date": "2026-05-02 18:20:43 +0000 UTC", "review_id": "627bd9a3f4c7d35ab2ec06f2", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2872701", "source_review_id": "UmF0aW5nLTQzMDA0NTcy", "source_url": "https://www.ratemyprofessors.com/professor/2872701", "type": "review" } ], "text": "Mitch Keller is described as a good instructor with great lectures, though one review notes the textbook is poorly written. His grading system is unique and restrictive, requiring full marks on all work or extra credit to achieve an A, otherwise capping the grade at an AB." }, { "citations": [ { "course_id": "COMPSCI/MATH/STAT 475", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "4d059bd9-4520-3a4d-9174-e3ad726d085e", "source_record": { "entity_id": "4d059bd9-4520-3a4d-9174-e3ad726d085e", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1244", "type": "grade" }, { "course_id": "COMPSCI/MATH/STAT 475", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "4d059bd9-4520-3a4d-9174-e3ad726d085e", "source_record": { "entity_id": "4d059bd9-4520-3a4d-9174-e3ad726d085e", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1262", "type": "grade" }, { "course_id": "COMPSCI/MATH/STAT 475", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "4d059bd9-4520-3a4d-9174-e3ad726d085e", "source_record": { "entity_id": "4d059bd9-4520-3a4d-9174-e3ad726d085e", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1264", "type": "grade" }, { "course_id": "COMPSCI/MATH/STAT 475", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "4d059bd9-4520-3a4d-9174-e3ad726d085e", "source_record": { "entity_id": "4d059bd9-4520-3a4d-9174-e3ad726d085e", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1264", "type": "grade" } ], "text": "Recent recorded grades — Spring 2024: 3.17 GPA, 47.5% A/AB (n=40 letter grades); Fall 2025: 3.30 GPA, 63.0% A/AB (n=27 letter grades); Spring 2026: 3.37 GPA, 54.3% A/AB (n=46 letter grades)." } ] }, { "instructor_uid": "instructor_6f78a52f7684feaea56867f1", "message": null, "name": "Paul Terwilliger", "review_status": "supported", "rmp_instructor_id": "rmp:952212", "summary": [ { "citations": [ { "instructor_name": "Paul Terwilliger", "review_date": "2012-12-02 20:44:01 +0000 UTC", "review_id": "50267541b1bf7e8ba34bd105", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:952212", "source_review_id": "UmF0aW5nLTIwOTMyNjU5", "source_url": "https://www.ratemyprofessors.com/professor/952212", "type": "review" }, { "instructor_name": "Paul Terwilliger", "review_date": "2016-12-20 11:29:41 +0000 UTC", "review_id": "a85fe75d9ed401d4cc1774bd", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:952212", "source_review_id": "UmF0aW5nLTI3NTc4MTM4", "source_url": "https://www.ratemyprofessors.com/professor/952212", "type": "review" }, { "instructor_name": "Paul Terwilliger", "review_date": "2024-05-13 15:33:21 +0000 UTC", "review_id": "770ef5e29842f57bd247e3df", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:952212", "source_review_id": "UmF0aW5nLTM5NDQ5NjA0", "source_url": "https://www.ratemyprofessors.com/professor/952212", "type": "review" } ], "text": "Paul Terwilliger is described as knowledgeable and clear, with some students finding him flexible and reasonable. Reviewers note that exam questions often come from the textbook, suggesting that reading ahead is important for success in the course." }, { "citations": [ { "instructor_name": "Paul Terwilliger", "review_date": "2013-02-01 19:13:15 +0000 UTC", "review_id": "f5a96f3686d645553315f1ee", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:952212", "source_review_id": "UmF0aW5nLTIxMzE1MDM1", "source_url": "https://www.ratemyprofessors.com/professor/952212", "type": "review" }, { "instructor_name": "Paul Terwilliger", "review_date": "2014-12-14 13:43:42 +0000 UTC", "review_id": "a7d35da0b174df35d05777eb", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:952212", "source_review_id": "UmF0aW5nLTI0MDczMTc5", "source_url": "https://www.ratemyprofessors.com/professor/952212", "type": "review" }, { "instructor_name": "Paul Terwilliger", "review_date": "2016-05-23 12:20:10 +0000 UTC", "review_id": "20e9195c0d89eda312e6e137", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:952212", "source_review_id": "UmF0aW5nLTI2NjM3Mjkw", "source_url": "https://www.ratemyprofessors.com/professor/952212", "type": "review" }, { "instructor_name": "Paul Terwilliger", "review_date": "2018-11-14 16:38:30 +0000 UTC", "review_id": "300d7e9619ea95740798dc9b", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:952212", "source_review_id": "UmF0aW5nLTMwNzI2MzE2", "source_url": "https://www.ratemyprofessors.com/professor/952212", "type": "review" }, { "instructor_name": "Paul Terwilliger", "review_date": "2022-05-15 17:46:43 +0000 UTC", "review_id": "d92948e85c3642ca153a704a", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:952212", "source_review_id": "UmF0aW5nLTM2MzQzMzU5", "source_url": "https://www.ratemyprofessors.com/professor/952212", "type": "review" } ], "text": "Other reviewers criticize Terwilliger for being inflexible, illegible, and unhelpful with questions. They report harsh grading, lack of feedback, and lectures that are difficult to follow, though some note the material itself is manageable if read independently." }, { "citations": [ { "course_id": "COMPSCI/MATH/STAT 475", "run_id": "20260907T155543-ce3781c4", "section_number": 3, "source_course_id": "4d059bd9-4520-3a4d-9174-e3ad726d085e", "source_record": { "entity_id": "4d059bd9-4520-3a4d-9174-e3ad726d085e", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1252", "type": "grade" }, { "course_id": "COMPSCI/MATH/STAT 475", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "4d059bd9-4520-3a4d-9174-e3ad726d085e", "source_record": { "entity_id": "4d059bd9-4520-3a4d-9174-e3ad726d085e", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1254", "type": "grade" }, { "course_id": "COMPSCI/MATH/STAT 475", "run_id": "20260907T155543-ce3781c4", "section_number": 3, "source_course_id": "4d059bd9-4520-3a4d-9174-e3ad726d085e", "source_record": { "entity_id": "4d059bd9-4520-3a4d-9174-e3ad726d085e", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1254", "type": "grade" }, { "course_id": "COMPSCI/MATH/STAT 475", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "4d059bd9-4520-3a4d-9174-e3ad726d085e", "source_record": { "entity_id": "4d059bd9-4520-3a4d-9174-e3ad726d085e", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1262", "type": "grade" }, { "course_id": "COMPSCI/MATH/STAT 475", "run_id": "20260907T155543-ce3781c4", "section_number": 3, "source_course_id": "4d059bd9-4520-3a4d-9174-e3ad726d085e", "source_record": { "entity_id": "4d059bd9-4520-3a4d-9174-e3ad726d085e", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1262", "type": "grade" } ], "text": "Recent recorded grades — Fall 2024: 3.44 GPA, 72.5% A/AB (n=40 letter grades); Spring 2025: 3.49 GPA, 66.7% A/AB (n=69 letter grades); Fall 2025: 3.07 GPA, 36.0% A/AB (n=50 letter grades)." } ] } ] ``` #### difficulty workload The course is dense and challenging. Homework is feasible but requires reading the textbook, as lectures may not fully explain concepts. Exams often draw directly from the book and previous tests. ```json { "citations": [ { "instructor_name": "Paul Terwilliger", "review_date": "2012-12-02 20:44:01 +0000 UTC", "review_id": "50267541b1bf7e8ba34bd105", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:952212", "source_review_id": "UmF0aW5nLTIwOTMyNjU5", "source_url": "https://www.ratemyprofessors.com/professor/952212", "type": "review" }, { "instructor_name": "Paul Terwilliger", "review_date": "2013-02-01 19:13:15 +0000 UTC", "review_id": "f5a96f3686d645553315f1ee", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:952212", "source_review_id": "UmF0aW5nLTIxMzE1MDM1", "source_url": "https://www.ratemyprofessors.com/professor/952212", "type": "review" }, { "instructor_name": "Paul Terwilliger", "review_date": "2014-12-14 13:43:42 +0000 UTC", "review_id": "a7d35da0b174df35d05777eb", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:952212", "source_review_id": "UmF0aW5nLTI0MDczMTc5", "source_url": "https://www.ratemyprofessors.com/professor/952212", "type": "review" }, { "instructor_name": "Paul Terwilliger", "review_date": "2016-05-23 12:20:10 +0000 UTC", "review_id": "20e9195c0d89eda312e6e137", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:952212", "source_review_id": "UmF0aW5nLTI2NjM3Mjkw", "source_url": "https://www.ratemyprofessors.com/professor/952212", "type": "review" }, { "instructor_name": "Paul Terwilliger", "review_date": "2016-12-20 11:29:41 +0000 UTC", "review_id": "a85fe75d9ed401d4cc1774bd", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:952212", "source_review_id": "UmF0aW5nLTI3NTc4MTM4", "source_url": "https://www.ratemyprofessors.com/professor/952212", "type": "review" }, { "instructor_name": "Paul Terwilliger", "review_date": "2018-11-14 16:38:30 +0000 UTC", "review_id": "300d7e9619ea95740798dc9b", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:952212", "source_review_id": "UmF0aW5nLTMwNzI2MzE2", "source_url": "https://www.ratemyprofessors.com/professor/952212", "type": "review" }, { "instructor_name": "Paul Terwilliger", "review_date": "2022-05-15 17:46:43 +0000 UTC", "review_id": "d92948e85c3642ca153a704a", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:952212", "source_review_id": "UmF0aW5nLTM2MzQzMzU5", "source_url": "https://www.ratemyprofessors.com/professor/952212", "type": "review" }, { "instructor_name": "Paul Terwilliger", "review_date": "2023-02-06 13:58:05 +0000 UTC", "review_id": "1f24843025ebcbcd1e80c0af", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:952212", "source_review_id": "UmF0aW5nLTM3NDEwMDYz", "source_url": "https://www.ratemyprofessors.com/professor/952212", "type": "review" }, { "instructor_name": "Mitch Keller", "review_date": "2023-12-19 20:07:49 +0000 UTC", "review_id": "4248010302b4c82698f22dbd", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2872701", "source_review_id": "UmF0aW5nLTM4NzQ1MTIx", "source_url": "https://www.ratemyprofessors.com/professor/2872701", "type": "review" }, { "instructor_name": "Paul Terwilliger", "review_date": "2024-05-13 15:33:21 +0000 UTC", "review_id": "770ef5e29842f57bd247e3df", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:952212", "source_review_id": "UmF0aW5nLTM5NDQ5NjA0", "source_url": "https://www.ratemyprofessors.com/professor/952212", "type": "review" } ] } ``` #### errors None recorded. #### historical context Historical reviews of Matthew Ballard, Mikhail Ivanov: Matthew Ballard provided well-paced lectures and helpful homework, challenging students while ensuring success opportunities. Mikhail Ivanov was a very good professor who provided recorded lectures and notes, with lenient grading and generous partial credit despite the course being exam-heavy. ```json { "citations": [ { "instructor_name": "Matthew Ballard", "review_date": "2013-01-23 16:46:37 +0000 UTC", "review_id": "501abd04b2de4f68695ad66b", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:1637791", "source_review_id": "UmF0aW5nLTIxMjg5MDMz", "source_url": "https://www.ratemyprofessors.com/professor/1637791", "type": "review" }, { "instructor_name": "Mikhail Ivanov", "review_date": "2024-01-26 03:47:48 +0000 UTC", "review_id": "ec7a739c6d396131c1555930", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2680569", "source_review_id": "UmF0aW5nLTM4OTI2ODE2", "source_url": "https://www.ratemyprofessors.com/professor/2680569", "type": "review" } ] } ``` #### offered true #### profile hash e59ddc7389015d0035b68cd195c939d475bf72b959b29cf12eab59b454ccaef1 #### quick take Paul Terwilliger is a knowledgeable mathematician who presents material clearly, though reviews disagree on his communication and flexibility. Mitch Keller is a good instructor but uses a unique grading system that restricts the maximum grade to an AB without perfect scores or extra credit. ```json { "citations": [ { "instructor_name": "Paul Terwilliger", "review_date": "2012-12-02 20:44:01 +0000 UTC", "review_id": "50267541b1bf7e8ba34bd105", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:952212", "source_review_id": "UmF0aW5nLTIwOTMyNjU5", "source_url": "https://www.ratemyprofessors.com/professor/952212", "type": "review" }, { "instructor_name": "Paul Terwilliger", "review_date": "2013-02-01 19:13:15 +0000 UTC", "review_id": "f5a96f3686d645553315f1ee", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:952212", "source_review_id": "UmF0aW5nLTIxMzE1MDM1", "source_url": "https://www.ratemyprofessors.com/professor/952212", "type": "review" }, { "instructor_name": "Paul Terwilliger", "review_date": "2014-12-14 13:43:42 +0000 UTC", "review_id": "a7d35da0b174df35d05777eb", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:952212", "source_review_id": "UmF0aW5nLTI0MDczMTc5", "source_url": "https://www.ratemyprofessors.com/professor/952212", "type": "review" }, { "instructor_name": "Paul Terwilliger", "review_date": "2016-05-23 12:20:10 +0000 UTC", "review_id": "20e9195c0d89eda312e6e137", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:952212", "source_review_id": "UmF0aW5nLTI2NjM3Mjkw", "source_url": "https://www.ratemyprofessors.com/professor/952212", "type": "review" }, { "instructor_name": "Paul Terwilliger", "review_date": "2016-12-20 11:29:41 +0000 UTC", "review_id": "a85fe75d9ed401d4cc1774bd", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:952212", "source_review_id": "UmF0aW5nLTI3NTc4MTM4", "source_url": "https://www.ratemyprofessors.com/professor/952212", "type": "review" }, { "instructor_name": "Paul Terwilliger", "review_date": "2018-11-14 16:38:30 +0000 UTC", "review_id": "300d7e9619ea95740798dc9b", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:952212", "source_review_id": "UmF0aW5nLTMwNzI2MzE2", "source_url": "https://www.ratemyprofessors.com/professor/952212", "type": "review" }, { "instructor_name": "Paul Terwilliger", "review_date": "2022-05-15 17:46:43 +0000 UTC", "review_id": "d92948e85c3642ca153a704a", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:952212", "source_review_id": "UmF0aW5nLTM2MzQzMzU5", "source_url": "https://www.ratemyprofessors.com/professor/952212", "type": "review" }, { "instructor_name": "Paul Terwilliger", "review_date": "2023-02-06 13:58:05 +0000 UTC", "review_id": "1f24843025ebcbcd1e80c0af", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:952212", "source_review_id": "UmF0aW5nLTM3NDEwMDYz", "source_url": "https://www.ratemyprofessors.com/professor/952212", "type": "review" }, { "instructor_name": "Mitch Keller", "review_date": "2023-12-19 20:07:49 +0000 UTC", "review_id": "4248010302b4c82698f22dbd", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2872701", "source_review_id": "UmF0aW5nLTM4NzQ1MTIx", "source_url": "https://www.ratemyprofessors.com/professor/2872701", "type": "review" }, { "instructor_name": "Paul Terwilliger", "review_date": "2024-05-13 15:33:21 +0000 UTC", "review_id": "770ef5e29842f57bd247e3df", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:952212", "source_review_id": "UmF0aW5nLTM5NDQ5NjA0", "source_url": "https://www.ratemyprofessors.com/professor/952212", "type": "review" } ] } ``` Recent recorded grades — Spring 2025: 3.39 GPA, 60.2% A/AB (n=98 letter grades); Fall 2025: 3.15 GPA, 45.5% A/AB (n=77 letter grades); Spring 2026: 3.35 GPA, 55.6% A/AB (n=63 letter grades). ```json { "citations": [ { "course_id": "COMPSCI/MATH/STAT 475", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "4d059bd9-4520-3a4d-9174-e3ad726d085e", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1254", "type": "grade" }, { "course_id": "COMPSCI/MATH/STAT 475", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "4d059bd9-4520-3a4d-9174-e3ad726d085e", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1262", "type": "grade" }, { "course_id": "COMPSCI/MATH/STAT 475", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "4d059bd9-4520-3a4d-9174-e3ad726d085e", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1264", "type": "grade" } ] } ``` #### student experience Students report mixed experiences with Terwilliger, citing his flexibility and clear examples versus his inflexibility and poor communication. Keller's grading policy is a significant concern, as students must achieve perfect marks on all assessments to secure an A. ```json { "citations": [ { "instructor_name": "Paul Terwilliger", "review_date": "2012-12-02 20:44:01 +0000 UTC", "review_id": "50267541b1bf7e8ba34bd105", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:952212", "source_review_id": "UmF0aW5nLTIwOTMyNjU5", "source_url": "https://www.ratemyprofessors.com/professor/952212", "type": "review" }, { "instructor_name": "Paul Terwilliger", "review_date": "2013-02-01 19:13:15 +0000 UTC", "review_id": "f5a96f3686d645553315f1ee", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:952212", "source_review_id": "UmF0aW5nLTIxMzE1MDM1", "source_url": "https://www.ratemyprofessors.com/professor/952212", "type": "review" }, { "instructor_name": "Paul Terwilliger", "review_date": "2014-12-14 13:43:42 +0000 UTC", "review_id": "a7d35da0b174df35d05777eb", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:952212", "source_review_id": "UmF0aW5nLTI0MDczMTc5", "source_url": "https://www.ratemyprofessors.com/professor/952212", "type": "review" }, { "instructor_name": "Paul Terwilliger", "review_date": "2016-05-23 12:20:10 +0000 UTC", "review_id": "20e9195c0d89eda312e6e137", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:952212", "source_review_id": "UmF0aW5nLTI2NjM3Mjkw", "source_url": "https://www.ratemyprofessors.com/professor/952212", "type": "review" }, { "instructor_name": "Paul Terwilliger", "review_date": "2016-12-20 11:29:41 +0000 UTC", "review_id": "a85fe75d9ed401d4cc1774bd", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:952212", "source_review_id": "UmF0aW5nLTI3NTc4MTM4", "source_url": "https://www.ratemyprofessors.com/professor/952212", "type": "review" }, { "instructor_name": "Paul Terwilliger", "review_date": "2018-11-14 16:38:30 +0000 UTC", "review_id": "300d7e9619ea95740798dc9b", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:952212", "source_review_id": "UmF0aW5nLTMwNzI2MzE2", "source_url": "https://www.ratemyprofessors.com/professor/952212", "type": "review" }, { "instructor_name": "Paul Terwilliger", "review_date": "2022-05-15 17:46:43 +0000 UTC", "review_id": "d92948e85c3642ca153a704a", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:952212", "source_review_id": "UmF0aW5nLTM2MzQzMzU5", "source_url": "https://www.ratemyprofessors.com/professor/952212", "type": "review" }, { "instructor_name": "Paul Terwilliger", "review_date": "2023-02-06 13:58:05 +0000 UTC", "review_id": "1f24843025ebcbcd1e80c0af", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:952212", "source_review_id": "UmF0aW5nLTM3NDEwMDYz", "source_url": "https://www.ratemyprofessors.com/professor/952212", "type": "review" }, { "instructor_name": "Mitch Keller", "review_date": "2023-12-19 20:07:49 +0000 UTC", "review_id": "4248010302b4c82698f22dbd", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2872701", "source_review_id": "UmF0aW5nLTM4NzQ1MTIx", "source_url": "https://www.ratemyprofessors.com/professor/2872701", "type": "review" }, { "instructor_name": "Paul Terwilliger", "review_date": "2024-05-13 15:33:21 +0000 UTC", "review_id": "770ef5e29842f57bd247e3df", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:952212", "source_review_id": "UmF0aW5nLTM5NDQ5NjA0", "source_url": "https://www.ratemyprofessors.com/professor/952212", "type": "review" } ] } ``` #### task hash 74fb0997943e888960bbc9e47db8c4fd12e4292d55c20509d8d89db6a9910f68 #### teaching history JOHN WILTSHIRE-GORDON is recorded teaching in Fall 2017. Recorded history may be incomplete and does not establish a future schedule. ```json { "citations": [ { "course_id": "COMPSCI/MATH/STAT 475", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "4d059bd9-4520-3a4d-9174-e3ad726d085e", "source_record": { "entity_id": "4d059bd9-4520-3a4d-9174-e3ad726d085e", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1182", "type": "grade" } ] } ``` JUN LE GOH is recorded teaching in Fall 2021. Recorded history may be incomplete and does not establish a future schedule. ```json { "citations": [ { "course_id": "COMPSCI/MATH/STAT 475", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "4d059bd9-4520-3a4d-9174-e3ad726d085e", "source_record": { "entity_id": "4d059bd9-4520-3a4d-9174-e3ad726d085e", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1222", "type": "grade" } ] } ``` LEV BORISOV is recorded teaching in Fall 2006. Recorded history may be incomplete and does not establish a future schedule. ```json { "citations": [ { "course_id": "COMPSCI/MATH/STAT 475", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "4d059bd9-4520-3a4d-9174-e3ad726d085e", "source_record": { "entity_id": "4d059bd9-4520-3a4d-9174-e3ad726d085e", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1072", "type": "grade" } ] } ``` MANLIO VALENTI is recorded teaching in Spring 2023. Recorded history may be incomplete and does not establish a future schedule. ```json { "citations": [ { "course_id": "COMPSCI/MATH/STAT 475", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "4d059bd9-4520-3a4d-9174-e3ad726d085e", "source_record": { "entity_id": "4d059bd9-4520-3a4d-9174-e3ad726d085e", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1234", "type": "grade" }, { "course_id": "COMPSCI/MATH/STAT 475", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "4d059bd9-4520-3a4d-9174-e3ad726d085e", "source_record": { "entity_id": "4d059bd9-4520-3a4d-9174-e3ad726d085e", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1234", "type": "grade" } ] } ``` MATTHEW BALLARD is recorded teaching in Fall 2011. Recorded history may be incomplete and does not establish a future schedule. ```json { "citations": [ { "course_id": "COMPSCI/MATH/STAT 475", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "4d059bd9-4520-3a4d-9174-e3ad726d085e", "source_record": { "entity_id": "4d059bd9-4520-3a4d-9174-e3ad726d085e", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1122", "type": "grade" } ] } ``` MIKHAIL IVANOV is recorded teaching in Fall 2020, Fall 2021, Fall 2023. Recorded history may be incomplete and does not establish a future schedule. ```json { "citations": [ { "course_id": "COMPSCI/MATH/STAT 475", "run_id": "20260907T155543-ce3781c4", "section_number": 3, "source_course_id": "4d059bd9-4520-3a4d-9174-e3ad726d085e", "source_record": { "entity_id": "4d059bd9-4520-3a4d-9174-e3ad726d085e", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1212", "type": "grade" }, { "course_id": "COMPSCI/MATH/STAT 475", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "4d059bd9-4520-3a4d-9174-e3ad726d085e", "source_record": { "entity_id": "4d059bd9-4520-3a4d-9174-e3ad726d085e", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1222", "type": "grade" }, { "course_id": "COMPSCI/MATH/STAT 475", "run_id": "20260907T155543-ce3781c4", "section_number": 3, "source_course_id": "4d059bd9-4520-3a4d-9174-e3ad726d085e", "source_record": { "entity_id": "4d059bd9-4520-3a4d-9174-e3ad726d085e", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1222", "type": "grade" }, { "course_id": "COMPSCI/MATH/STAT 475", "run_id": "20260907T155543-ce3781c4", "section_number": 3, "source_course_id": "4d059bd9-4520-3a4d-9174-e3ad726d085e", "source_record": { "entity_id": "4d059bd9-4520-3a4d-9174-e3ad726d085e", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1242", "type": "grade" } ] } ``` MITCH KELLER is recorded teaching in Fall 2023, Spring 2024, Fall 2025, Spring 2026. Recorded history may be incomplete and does not establish a future schedule. ```json { "citations": [ { "course_id": "COMPSCI/MATH/STAT 475", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "4d059bd9-4520-3a4d-9174-e3ad726d085e", "source_record": { "entity_id": "4d059bd9-4520-3a4d-9174-e3ad726d085e", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1242", "type": "grade" }, { "course_id": "COMPSCI/MATH/STAT 475", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "4d059bd9-4520-3a4d-9174-e3ad726d085e", "source_record": { "entity_id": "4d059bd9-4520-3a4d-9174-e3ad726d085e", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1244", "type": "grade" }, { "course_id": "COMPSCI/MATH/STAT 475", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "4d059bd9-4520-3a4d-9174-e3ad726d085e", "source_record": { "entity_id": "4d059bd9-4520-3a4d-9174-e3ad726d085e", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1262", "type": "grade" }, { "course_id": "COMPSCI/MATH/STAT 475", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "4d059bd9-4520-3a4d-9174-e3ad726d085e", "source_record": { "entity_id": "4d059bd9-4520-3a4d-9174-e3ad726d085e", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1264", "type": "grade" }, { "course_id": "COMPSCI/MATH/STAT 475", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "4d059bd9-4520-3a4d-9174-e3ad726d085e", "source_record": { "entity_id": "4d059bd9-4520-3a4d-9174-e3ad726d085e", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1264", "type": "grade" } ] } ``` PAUL M TERWILLIGER is recorded teaching in Fall 2012, Spring 2014, Fall 2014, Spring 2015, Spring 2016, Fall 2016, Fall 2017, Spring 2018, Fall 2018, Spring 2019, Fall 2019, Spring 2020, Fall 2020, Spring 2022, Fall 2022, Spring 2023, Fall 2023, Spring 2024, Fall 2024, Spring 2025, Fall 2025. Recorded history may be incomplete and does not establish a future schedule. ```json { "citations": [ { "course_id": "COMPSCI/MATH/STAT 475", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "4d059bd9-4520-3a4d-9174-e3ad726d085e", "source_record": { "entity_id": "4d059bd9-4520-3a4d-9174-e3ad726d085e", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1132", "type": "grade" }, { "course_id": "COMPSCI/MATH/STAT 475", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "4d059bd9-4520-3a4d-9174-e3ad726d085e", "source_record": { "entity_id": "4d059bd9-4520-3a4d-9174-e3ad726d085e", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1144", "type": "grade" }, { "course_id": "COMPSCI/MATH/STAT 475", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "4d059bd9-4520-3a4d-9174-e3ad726d085e", "source_record": { "entity_id": "4d059bd9-4520-3a4d-9174-e3ad726d085e", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1152", "type": "grade" }, { "course_id": "COMPSCI/MATH/STAT 475", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "4d059bd9-4520-3a4d-9174-e3ad726d085e", "source_record": { "entity_id": "4d059bd9-4520-3a4d-9174-e3ad726d085e", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1154", "type": "grade" }, { "course_id": "COMPSCI/MATH/STAT 475", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "4d059bd9-4520-3a4d-9174-e3ad726d085e", "source_record": { "entity_id": "4d059bd9-4520-3a4d-9174-e3ad726d085e", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1164", "type": "grade" }, { "course_id": "COMPSCI/MATH/STAT 475", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "4d059bd9-4520-3a4d-9174-e3ad726d085e", "source_record": { "entity_id": "4d059bd9-4520-3a4d-9174-e3ad726d085e", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1172", "type": "grade" }, { "course_id": "COMPSCI/MATH/STAT 475", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "4d059bd9-4520-3a4d-9174-e3ad726d085e", "source_record": { "entity_id": "4d059bd9-4520-3a4d-9174-e3ad726d085e", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1182", "type": "grade" }, { "course_id": "COMPSCI/MATH/STAT 475", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "4d059bd9-4520-3a4d-9174-e3ad726d085e", "source_record": { "entity_id": "4d059bd9-4520-3a4d-9174-e3ad726d085e", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1184", "type": "grade" }, { "course_id": "COMPSCI/MATH/STAT 475", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "4d059bd9-4520-3a4d-9174-e3ad726d085e", "source_record": { "entity_id": "4d059bd9-4520-3a4d-9174-e3ad726d085e", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1192", "type": "grade" }, { "course_id": "COMPSCI/MATH/STAT 475", "run_id": "20260907T155543-ce3781c4", "section_number": 3, "source_course_id": "4d059bd9-4520-3a4d-9174-e3ad726d085e", "source_record": { "entity_id": "4d059bd9-4520-3a4d-9174-e3ad726d085e", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1194", "type": "grade" }, { "course_id": "COMPSCI/MATH/STAT 475", "run_id": "20260907T155543-ce3781c4", "section_number": 4, "source_course_id": "4d059bd9-4520-3a4d-9174-e3ad726d085e", "source_record": { "entity_id": "4d059bd9-4520-3a4d-9174-e3ad726d085e", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1194", "type": "grade" }, { "course_id": "COMPSCI/MATH/STAT 475", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "4d059bd9-4520-3a4d-9174-e3ad726d085e", "source_record": { "entity_id": "4d059bd9-4520-3a4d-9174-e3ad726d085e", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1202", "type": "grade" }, { "course_id": "COMPSCI/MATH/STAT 475", "run_id": "20260907T155543-ce3781c4", "section_number": 3, "source_course_id": "4d059bd9-4520-3a4d-9174-e3ad726d085e", "source_record": { "entity_id": "4d059bd9-4520-3a4d-9174-e3ad726d085e", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1204", "type": "grade" }, { "course_id": "COMPSCI/MATH/STAT 475", "run_id": "20260907T155543-ce3781c4", "section_number": 5, "source_course_id": "4d059bd9-4520-3a4d-9174-e3ad726d085e", "source_record": { "entity_id": "4d059bd9-4520-3a4d-9174-e3ad726d085e", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1212", "type": "grade" }, { "course_id": "COMPSCI/MATH/STAT 475", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "4d059bd9-4520-3a4d-9174-e3ad726d085e", "source_record": { "entity_id": "4d059bd9-4520-3a4d-9174-e3ad726d085e", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1224", "type": "grade" }, { "course_id": "COMPSCI/MATH/STAT 475", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "4d059bd9-4520-3a4d-9174-e3ad726d085e", "source_record": { "entity_id": "4d059bd9-4520-3a4d-9174-e3ad726d085e", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1232", "type": "grade" }, { "course_id": "COMPSCI/MATH/STAT 475", "run_id": "20260907T155543-ce3781c4", "section_number": 3, "source_course_id": "4d059bd9-4520-3a4d-9174-e3ad726d085e", "source_record": { "entity_id": "4d059bd9-4520-3a4d-9174-e3ad726d085e", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1234", "type": "grade" }, { "course_id": "COMPSCI/MATH/STAT 475", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "4d059bd9-4520-3a4d-9174-e3ad726d085e", "source_record": { "entity_id": "4d059bd9-4520-3a4d-9174-e3ad726d085e", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1242", "type": "grade" }, { "course_id": "COMPSCI/MATH/STAT 475", "run_id": "20260907T155543-ce3781c4", "section_number": 3, "source_course_id": "4d059bd9-4520-3a4d-9174-e3ad726d085e", "source_record": { "entity_id": "4d059bd9-4520-3a4d-9174-e3ad726d085e", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1244", "type": "grade" }, { "course_id": "COMPSCI/MATH/STAT 475", "run_id": "20260907T155543-ce3781c4", "section_number": 3, "source_course_id": "4d059bd9-4520-3a4d-9174-e3ad726d085e", "source_record": { "entity_id": "4d059bd9-4520-3a4d-9174-e3ad726d085e", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1252", "type": "grade" }, { "course_id": "COMPSCI/MATH/STAT 475", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "4d059bd9-4520-3a4d-9174-e3ad726d085e", "source_record": { "entity_id": "4d059bd9-4520-3a4d-9174-e3ad726d085e", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1254", "type": "grade" }, { "course_id": "COMPSCI/MATH/STAT 475", "run_id": "20260907T155543-ce3781c4", "section_number": 3, "source_course_id": "4d059bd9-4520-3a4d-9174-e3ad726d085e", "source_record": { "entity_id": "4d059bd9-4520-3a4d-9174-e3ad726d085e", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1254", "type": "grade" }, { "course_id": "COMPSCI/MATH/STAT 475", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "4d059bd9-4520-3a4d-9174-e3ad726d085e", "source_record": { "entity_id": "4d059bd9-4520-3a4d-9174-e3ad726d085e", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1262", "type": "grade" }, { "course_id": "COMPSCI/MATH/STAT 475", "run_id": "20260907T155543-ce3781c4", "section_number": 3, "source_course_id": "4d059bd9-4520-3a4d-9174-e3ad726d085e", "source_record": { "entity_id": "4d059bd9-4520-3a4d-9174-e3ad726d085e", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1262", "type": "grade" } ] } ``` RAJULA SRIVASTAVA is recorded teaching in Spring 2026. Recorded history may be incomplete and does not establish a future schedule. ```json { "citations": [ { "course_id": "COMPSCI/MATH/STAT 475", "run_id": "20260907T155543-ce3781c4", "section_number": 3, "source_course_id": "4d059bd9-4520-3a4d-9174-e3ad726d085e", "source_record": { "entity_id": "4d059bd9-4520-3a4d-9174-e3ad726d085e", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1264", "type": "grade" } ] } ``` SHENGWEN GAN is recorded teaching in Spring 2024. Recorded history may be incomplete and does not establish a future schedule. ```json { "citations": [ { "course_id": "COMPSCI/MATH/STAT 475", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "4d059bd9-4520-3a4d-9174-e3ad726d085e", "source_record": { "entity_id": "4d059bd9-4520-3a4d-9174-e3ad726d085e", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1244", "type": "grade" } ] } ``` SIDDESH WAGH is recorded teaching in Spring 2020. Recorded history may be incomplete and does not establish a future schedule. ```json { "citations": [ { "course_id": "COMPSCI/MATH/STAT 475", "run_id": "20260907T155543-ce3781c4", "section_number": 4, "source_course_id": "4d059bd9-4520-3a4d-9174-e3ad726d085e", "source_record": { "entity_id": "4d059bd9-4520-3a4d-9174-e3ad726d085e", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1204", "type": "grade" } ] } ``` STEFFEN LEMPP is recorded teaching in Spring 2019. Recorded history may be incomplete and does not establish a future schedule. ```json { "citations": [ { "course_id": "COMPSCI/MATH/STAT 475", "run_id": "20260907T155543-ce3781c4", "section_number": 3, "source_course_id": "4d059bd9-4520-3a4d-9174-e3ad726d085e", "source_record": { "entity_id": "4d059bd9-4520-3a4d-9174-e3ad726d085e", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1194", "type": "grade" } ] } ``` STEVEN SAM is recorded teaching in Fall 2015. Recorded history may be incomplete and does not establish a future schedule. ```json { "citations": [ { "course_id": "COMPSCI/MATH/STAT 475", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "4d059bd9-4520-3a4d-9174-e3ad726d085e", "source_record": { "entity_id": "4d059bd9-4520-3a4d-9174-e3ad726d085e", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1162", "type": "grade" } ] } ``` #### term id 1272 #### term name 2026 Fall #### version 2 ### requirements #### nodes ```json [ { "children": [ "n1", "n2", "n3", "n4", "n5", "n6", "n7" ], "condition": null, "course": null, "evidence": "(MATH 320,340,341,345, or375), graduate/professional standing, or declared in Mathematics VISP (undergraduate or graduate)", "id": "n0", "kind": "any" }, { "children": [], "condition": null, "course": { "course_number": 320, "minimum_grade": null, "subjects": [ "MATH" ], "timing": "prior" }, "evidence": "MATH 320", "id": "n1", "kind": "course" }, { "children": [], "condition": null, "course": { "course_number": 340, "minimum_grade": null, "subjects": [ "MATH" ], "timing": "prior" }, "evidence": "340", "id": "n2", "kind": "course" }, { "children": [], "condition": null, "course": { "course_number": 341, "minimum_grade": null, "subjects": [ "MATH" ], "timing": "prior" }, "evidence": "341", "id": "n3", "kind": "course" }, { "children": [], "condition": null, "course": { "course_number": 345, "minimum_grade": null, "subjects": [ "MATH" ], "timing": "prior" }, "evidence": "345", "id": "n4", "kind": "course" }, { "children": [], "condition": null, "course": { "course_number": 375, "minimum_grade": null, "subjects": [ "MATH" ], "timing": "prior" }, "evidence": "375", "id": "n5", "kind": "course" }, { "children": [], "condition": "graduate/professional standing", "course": null, "evidence": "graduate/professional standing", "id": "n6", "kind": "condition" }, { "children": [], "condition": "declared in Mathematics VISP (undergraduate or graduate)", "course": null, "evidence": "declared in Mathematics VISP (undergraduate or graduate)", "id": "n7", "kind": "condition" } ] ``` #### notes None recorded. #### root n0 #### status parsed ### instructors ```json [ { "instructor_uid": "instructor_3eeb755915088b19ce4d0e3c", "source": "enrollment", "source_instructor_id": "mtkeller2", "identity_basis": "netid", "identity_status": "source_identified", "name": "Mitch Keller", "email": "MITCH.KELLER@WISC.EDU", "first_observed_at": "2026-09-07 15:55:43.033547+00:00", "last_observed_at": "2026-09-07 15:55:43.033547+00:00", "ratings": { "review_count": 37, "quality": 2.84, "difficulty": 3.46, "quality_count": 37, "difficulty_count": 37, "profile_id": "rmp:2872701", "source_url": "https://www.ratemyprofessors.com/professor/2872701", "match_basis": "exact_name", "observed_at": "2026-09-07 16:16:47.023696+00:00", "courses": { "course_63c43e7ac8225e2773df74d8": { "review_count": 2, "quality": 2, "difficulty": 4, "quality_count": 2, "difficulty_count": 2 }, "course_9a1a7bf1933981bcbaca47ac": { "review_count": 27, "quality": 2.67, "difficulty": 3.48, "quality_count": 27, "difficulty_count": 27 }, "course_e7b7ff33c37b147a17b2d14d": { "review_count": 1, "quality": 5, "difficulty": 3, "quality_count": 1, "difficulty_count": 1 } }, "bayesian_quality": 3.127609046858454, "prior_mean": 3.6596857835465957, "prior_weight": 20 }, "instructor_url": "/instructors/MITCH_KELLER" }, { "instructor_uid": "instructor_6f78a52f7684feaea56867f1", "source": "enrollment", "source_instructor_id": "pmterwil", "identity_basis": "netid", "identity_status": "source_identified", "name": "Paul Terwilliger", "email": "TERWILLI@MATH.WISC.EDU", "first_observed_at": "2026-09-07 15:55:43.033547+00:00", "last_observed_at": "2026-09-07 15:55:43.033547+00:00", "ratings": { "review_count": 38, "quality": 2.76, "difficulty": 3.05, "quality_count": 38, "difficulty_count": 38, "profile_id": "rmp:952212", "source_url": "https://www.ratemyprofessors.com/professor/952212", "match_basis": "exact_name", "observed_at": "2026-09-07 16:12:25.084074+00:00", "courses": { "course_63c43e7ac8225e2773df74d8": { "review_count": 25, "quality": 2.72, "difficulty": 3.48, "quality_count": 25, "difficulty_count": 25 }, "course_0002a781bc9543f3a2ac1a94": { "review_count": 4, "quality": 3, "difficulty": 2, "quality_count": 4, "difficulty_count": 4 }, "course_60c2767a206a079d3af2a1a4": { "review_count": 1, "quality": 3, "difficulty": 4, "quality_count": 1, "difficulty_count": 1 } }, "bayesian_quality": 3.070236477085033, "prior_mean": 3.6596857835465957, "prior_weight": 20 }, "instructor_url": "/instructors/PAUL_TERWILLIGER" } ] ``` ### offerings ```json [ { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "offering_id": "1272:266:011675", "course_id": "COMPSCI/MATH/STAT 475", "course_uid": "course_63c43e7ac8225e2773df74d8", "term_id": "1272", "source_course_id": "011675", "source_subject_id": "266", "title": "Introduction to Combinatorics", "credits_min": 3, "credits_max": 3, "typically_offered": "Fall, Spring" }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "offering_id": "1272:600:011675", "course_id": "COMPSCI/MATH/STAT 475", "course_uid": "course_63c43e7ac8225e2773df74d8", "term_id": "1272", "source_course_id": "011675", "source_subject_id": "600", "title": "Introduction to Combinatorics", "credits_min": 3, "credits_max": 3, "typically_offered": "Fall, Spring" }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "offering_id": "1272:932:011675", "course_id": "COMPSCI/MATH/STAT 475", "course_uid": "course_63c43e7ac8225e2773df74d8", "term_id": "1272", "source_course_id": "011675", "source_subject_id": "932", "title": "Introduction to Combinatorics", "credits_min": 3, "credits_max": 3, "typically_offered": "Fall, Spring" } ] ``` ### sections ```json [ { "run_id": "20260907T155543-ce3781c4", "observed_at": "2026-09-07 15:55:43.033547+00:00", "section_uid": "uw-section:1272:13976", "term_id": "1272", "source_section_id": "13976", "identity_basis": "class_number", "section_number": "001", "section_type": "LEC", "instruction_mode": "Classroom Instruction", "capacity": 35, "enrolled": 6, "waitlisted": 0, "start_date": "2026-09-02 05:00:00+00:00", "end_date": "2026-12-09 06:00:00+00:00" }, { "run_id": "20260907T155543-ce3781c4", "observed_at": "2026-09-07 15:55:43.033547+00:00", "section_uid": "uw-section:1272:18761", "term_id": "1272", "source_section_id": "18761", "identity_basis": "class_number", "section_number": "002", "section_type": "LEC", "instruction_mode": "Classroom Instruction", "capacity": 35, "enrolled": 5, "waitlisted": 0, "start_date": "2026-09-02 05:00:00+00:00", "end_date": "2026-12-09 06:00:00+00:00" }, { "run_id": "20260907T155543-ce3781c4", "observed_at": "2026-09-07 15:55:43.033547+00:00", "section_uid": "uw-section:1272:36137", "term_id": "1272", "source_section_id": "36137", "identity_basis": "class_number", "section_number": "003", "section_type": "LEC", "instruction_mode": "Classroom Instruction", "capacity": 35, "enrolled": 6, "waitlisted": 0, "start_date": "2026-09-02 05:00:00+00:00", "end_date": "2026-12-09 06:00:00+00:00" }, { "run_id": "20260907T155543-ce3781c4", "observed_at": "2026-09-07 15:55:43.033547+00:00", "section_uid": "uw-section:1272:12553", "term_id": "1272", "source_section_id": "12553", "identity_basis": "class_number", "section_number": "001", "section_type": "LEC", "instruction_mode": "Classroom Instruction", "capacity": 35, "enrolled": 23, "waitlisted": 0, "start_date": "2026-09-02 05:00:00+00:00", "end_date": "2026-12-09 06:00:00+00:00" }, { "run_id": "20260907T155543-ce3781c4", "observed_at": "2026-09-07 15:55:43.033547+00:00", "section_uid": "uw-section:1272:18672", "term_id": "1272", "source_section_id": "18672", "identity_basis": "class_number", "section_number": "002", "section_type": "LEC", "instruction_mode": "Classroom Instruction", "capacity": 35, "enrolled": 9, "waitlisted": 0, "start_date": "2026-09-02 05:00:00+00:00", "end_date": "2026-12-09 06:00:00+00:00" }, { "run_id": "20260907T155543-ce3781c4", "observed_at": "2026-09-07 15:55:43.033547+00:00", "section_uid": "uw-section:1272:35771", "term_id": "1272", "source_section_id": "35771", "identity_basis": "class_number", "section_number": "003", "section_type": "LEC", "instruction_mode": "Classroom Instruction", "capacity": 35, "enrolled": 19, "waitlisted": 0, "start_date": "2026-09-02 05:00:00+00:00", "end_date": "2026-12-09 06:00:00+00:00" }, { "run_id": "20260907T155543-ce3781c4", "observed_at": "2026-09-07 15:55:43.033547+00:00", "section_uid": "uw-section:1272:13199", "term_id": "1272", "source_section_id": "13199", "identity_basis": "class_number", "section_number": "001", "section_type": "LEC", "instruction_mode": "Classroom Instruction", "capacity": 35, "enrolled": 1, "waitlisted": 0, "start_date": "2026-09-02 05:00:00+00:00", "end_date": "2026-12-09 06:00:00+00:00" }, { "run_id": "20260907T155543-ce3781c4", "observed_at": "2026-09-07 15:55:43.033547+00:00", "section_uid": "uw-section:1272:18760", "term_id": "1272", "source_section_id": "18760", "identity_basis": "class_number", "section_number": "002", "section_type": "LEC", "instruction_mode": "Classroom Instruction", "capacity": 35, "enrolled": 0, "waitlisted": 0, "start_date": "2026-09-02 05:00:00+00:00", "end_date": "2026-12-09 06:00:00+00:00" }, { "run_id": "20260907T155543-ce3781c4", "observed_at": "2026-09-07 15:55:43.033547+00:00", "section_uid": "uw-section:1272:36136", "term_id": "1272", "source_section_id": "36136", "identity_basis": "class_number", "section_number": "003", "section_type": "LEC", "instruction_mode": "Classroom Instruction", "capacity": 35, "enrolled": 5, "waitlisted": 0, "start_date": "2026-09-02 05:00:00+00:00", "end_date": "2026-12-09 06:00:00+00:00" } ] ``` ### grade instructors ```json [ { "instructor_uid": "instructor_81b429dc1e8a4acb45894510", "source": "madgrades", "source_instructor_id": "2600233", "identity_basis": "source_id", "identity_status": "source_identified", "name": "DIETRICH UHLENBROCK", "email": null, "first_observed_at": "2026-09-06 23:14:58.172943+00:00", "last_observed_at": "2026-09-07 15:55:43.033547+00:00", "grade_statistics": { "gpa": 2.772, "graded": 254, "counts": [ 52, 35, 61, 29, 51, 16, 10 ], "sections": 4 }, "instructor_url": "/instructors/DIETRICH_UHLENBROCK" }, { "instructor_uid": "instructor_e93d16d5b70a4a1936105233", "source": "madgrades", "source_instructor_id": "3437432", "identity_basis": "source_id", "identity_status": "source_identified", "name": "LEV BORISOV", "email": null, "first_observed_at": "2026-09-06 23:14:58.172943+00:00", "last_observed_at": "2026-09-07 15:55:43.033547+00:00", "ratings": { "review_count": 87, "quality": 3.62, "difficulty": 3.97, "quality_count": 87, "difficulty_count": 87, "profile_id": "rmp:289711", "source_url": "https://www.ratemyprofessors.com/professor/289711", "match_basis": "exact_name", "observed_at": "2026-09-07 16:23:30.597030+00:00", "courses": { "course_6bc496e4640fd08f71e1b041": { "review_count": 43, "quality": 3.95, "difficulty": 4.02, "quality_count": 43, "difficulty_count": 43 }, "course_8634dde81cc95f6c58014087": { "review_count": 27, "quality": 3.37, "difficulty": 3.85, "quality_count": 27, "difficulty_count": 27 }, "course_cc1de60e9953cdd9c469e9a5": { "review_count": 1, "quality": 3, "difficulty": 4, "quality_count": 1, "difficulty_count": 1 }, "course_63c43e7ac8225e2773df74d8": { "review_count": 1, "quality": 5, "difficulty": 4, "quality_count": 1, "difficulty_count": 1 } }, "bayesian_quality": 3.6274179034666534, "prior_mean": 3.6596857835465957, "prior_weight": 20 }, "grade_statistics": { "gpa": 2.896, "graded": 737, "counts": [ 172, 95, 169, 114, 151, 20, 16 ], "sections": 15 }, "instructor_url": "/instructors/LEV_BORISOV--instructor_e93d16d5b70a4a1936105233" }, { "instructor_uid": "instructor_94f1a53e08f364a503597894", "source": "madgrades", "source_instructor_id": "3661782", "identity_basis": "source_id", "identity_status": "source_identified", "name": "ALBRECHT KLEMM", "email": null, "first_observed_at": "2026-09-06 23:14:58.172943+00:00", "last_observed_at": "2026-09-07 15:55:43.033547+00:00", "grade_statistics": { "gpa": 3.582, "graded": 61, "counts": [ 37, 9, 10, 0, 4, 1, 0 ], "sections": 4 }, "instructor_url": "/instructors/ALBRECHT_KLEMM--instructor_94f1a53e08f364a503597894" }, { "instructor_uid": "instructor_1e24f94aea20e0aa140b0f04", "source": "madgrades", "source_instructor_id": "2600141", "identity_basis": "source_id", "identity_status": "source_identified", "name": "RICHARD A BRUALDI", "email": null, "first_observed_at": "2026-09-06 23:14:58.172943+00:00", "last_observed_at": "2026-09-07 15:55:43.033547+00:00", "grade_statistics": { "gpa": 3.063, "graded": 142, "counts": [ 48, 20, 30, 10, 25, 8, 1 ], "sections": 10 }, "instructor_url": "/instructors/RICHARD_A_BRUALDI" }, { "instructor_uid": "instructor_2ac2deeb0fbdfaa160482334", "source": "madgrades", "source_instructor_id": "3127329", "identity_basis": "source_id", "identity_status": "source_identified", "name": "KEN ONO", "email": null, "first_observed_at": "2026-09-06 23:14:58.172943+00:00", "last_observed_at": "2026-09-07 15:55:43.033547+00:00", "grade_statistics": { "gpa": 3.512, "graded": 216, "counts": [ 129, 18, 39, 9, 19, 2, 0 ], "sections": 18 }, "instructor_url": "/instructors/KEN_ONO" }, { "instructor_uid": "instructor_2526da1b4d60f44a1bea00f0", "source": "madgrades", "source_instructor_id": "4172260", "identity_basis": "source_id", "identity_status": "source_identified", "name": "YANNAN QIU", "email": null, "first_observed_at": "2026-09-06 23:14:58.172943+00:00", "last_observed_at": "2026-09-07 15:55:43.033547+00:00", "ratings": { "review_count": 14, "quality": 1.57, "difficulty": 3.29, "quality_count": 14, "difficulty_count": 14, "profile_id": "rmp:1090935", "source_url": "https://www.ratemyprofessors.com/professor/1090935", "match_basis": "exact_name", "observed_at": "2026-09-07 15:58:06.713405+00:00", "courses": { "course_6bc496e4640fd08f71e1b041": { "review_count": 1, "quality": 1, "difficulty": 4, "quality_count": 1, "difficulty_count": 1 }, "course_6c15cc3b45a4c19a3ad6a2cd": { "review_count": 4, "quality": 1.25, "difficulty": 4.25, "quality_count": 4, "difficulty_count": 4 }, "course_364c50303ed83d1234b4ea51": { "review_count": 1, "quality": 5, "difficulty": 4, "quality_count": 1, "difficulty_count": 1 }, "course_0002a781bc9543f3a2ac1a94": { "review_count": 1, "quality": 2, "difficulty": 4, "quality_count": 1, "difficulty_count": 1 } }, "bayesian_quality": 2.7992269314979974, "prior_mean": 3.6596857835465957, "prior_weight": 20 }, "grade_statistics": { "gpa": 3.126, "graded": 289, "counts": [ 86, 47, 98, 20, 18, 15, 5 ], "sections": 9 }, "instructor_url": "/instructors/YANNAN_QIU--instructor_2526da1b4d60f44a1bea00f0" }, { "instructor_uid": "instructor_61225c0eff5b70a15f7b6618", "source": "madgrades", "source_instructor_id": "2600893", "identity_basis": "source_id", "identity_status": "source_identified", "name": "ARNOLD W MILLER", "email": null, "first_observed_at": "2026-09-06 23:14:58.172943+00:00", "last_observed_at": "2026-09-07 15:55:43.033547+00:00", "grade_statistics": { "gpa": 2.83, "graded": 1324, "counts": [ 388, 107, 334, 96, 241, 97, 61 ], "sections": 19 }, "instructor_url": "/instructors/ARNOLD_W_MILLER" }, { "instructor_uid": "instructor_91a8295117bb0ce7b172a161", "source": "madgrades", "source_instructor_id": "3230527", "identity_basis": "source_id", "identity_status": "source_identified", "name": "TONGHAI YANG", "email": null, "first_observed_at": "2026-09-06 23:14:58.172943+00:00", "last_observed_at": "2026-09-07 15:55:43.033547+00:00", "ratings": { "review_count": 45, "quality": 3.02, "difficulty": 3.04, "quality_count": 45, "difficulty_count": 45, "profile_id": "rmp:2043547", "source_url": "https://www.ratemyprofessors.com/professor/2043547", "match_basis": "exact_name", "observed_at": "2026-09-07 16:01:22.516210+00:00", "courses": { "course_60c2767a206a079d3af2a1a4": { "review_count": 3, "quality": 1.33, "difficulty": 4.67, "quality_count": 3, "difficulty_count": 3 }, "course_cc1de60e9953cdd9c469e9a5": { "review_count": 36, "quality": 3.06, "difficulty": 2.94, "quality_count": 36, "difficulty_count": 36 }, "course_fa53f4954bab469b5d4c4fe3": { "review_count": 2, "quality": 3.5, "difficulty": 3.5, "quality_count": 2, "difficulty_count": 2 } }, "bayesian_quality": 3.216826394937414, "prior_mean": 3.6596857835465957, "prior_weight": 20 }, "grade_statistics": { "gpa": 3.248, "graded": 2472, "counts": [ 1217, 198, 495, 118, 292, 103, 49 ], "sections": 63 }, "instructor_url": "/instructors/TONGHAI_YANG--instructor_91a8295117bb0ce7b172a161" }, { "instructor_uid": "instructor_2b9448a4e86e6cef772805dd", "source": "madgrades", "source_instructor_id": "3467530", "identity_basis": "source_id", "identity_status": "source_identified", "name": "MATTHEW BALLARD", "email": null, "first_observed_at": "2026-09-06 23:14:58.172943+00:00", "last_observed_at": "2026-09-07 15:55:43.033547+00:00", "ratings": { "review_count": 5, "quality": 4.8, "difficulty": 3.4, "quality_count": 5, "difficulty_count": 5, "profile_id": "rmp:1637791", "source_url": "https://www.ratemyprofessors.com/professor/1637791", "match_basis": "exact_name", "observed_at": "2026-09-07 16:19:52.775670+00:00", "courses": { "course_63c43e7ac8225e2773df74d8": { "review_count": 3, "quality": 4.67, "difficulty": 3.33, "quality_count": 3, "difficulty_count": 3 }, "course_7e12e6bf6be7a81f7ca74420": { "review_count": 2, "quality": 5, "difficulty": 3.5, "quality_count": 2, "difficulty_count": 2 } }, "bayesian_quality": 3.8877486268372765, "prior_mean": 3.6596857835465957, "prior_weight": 20 }, "grade_statistics": { "gpa": 3.176, "graded": 74, "counts": [ 24, 15, 15, 9, 9, 1, 1 ], "sections": 2 }, "instructor_url": "/instructors/MATTHEW_BALLARD--instructor_2b9448a4e86e6cef772805dd" }, { "instructor_uid": "instructor_0fccae6a11c543f1039456f8", "source": "madgrades", "source_instructor_id": "2601093", "identity_basis": "source_id", "identity_status": "source_identified", "name": "PAUL M TERWILLIGER", "email": null, "first_observed_at": "2026-09-06 23:14:58.172943+00:00", "last_observed_at": "2026-09-07 15:55:43.033547+00:00", "grade_statistics": { "gpa": 3.268, "graded": 1413, "counts": [ 662, 148, 290, 97, 152, 35, 29 ], "sections": 108 }, "instructor_url": "/instructors/PAUL_M_TERWILLIGER" }, { "instructor_uid": "instructor_c6612773bc44263fac7812ef", "source": "madgrades", "source_instructor_id": "4957895", "identity_basis": "source_id", "identity_status": "source_identified", "name": "ROBERT HARRON", "email": null, "first_observed_at": "2026-09-06 23:14:58.172943+00:00", "last_observed_at": "2026-09-07 15:55:43.033547+00:00", "ratings": { "review_count": 16, "quality": 4.62, "difficulty": 2.75, "quality_count": 16, "difficulty_count": 16, "profile_id": "rmp:1625443", "source_url": "https://www.ratemyprofessors.com/professor/1625443", "match_basis": "exact_name", "observed_at": "2026-09-07 16:09:40.059739+00:00", "courses": { "course_eec4aae06b946a73f1878be4": { "review_count": 2, "quality": 5, "difficulty": 2.5, "quality_count": 2, "difficulty_count": 2 }, "course_7e12e6bf6be7a81f7ca74420": { "review_count": 1, "quality": 4, "difficulty": 5, "quality_count": 1, "difficulty_count": 1 }, "course_6bc496e4640fd08f71e1b041": { "review_count": 1, "quality": 4, "difficulty": 2, "quality_count": 1, "difficulty_count": 1 }, "course_cc1de60e9953cdd9c469e9a5": { "review_count": 8, "quality": 4.62, "difficulty": 2.62, "quality_count": 8, "difficulty_count": 8 } }, "bayesian_quality": 4.0864921019703315, "prior_mean": 3.6596857835465957, "prior_weight": 20 }, "grade_statistics": { "gpa": 2.936, "graded": 577, "counts": [ 164, 84, 120, 72, 88, 28, 21 ], "sections": 8 }, "instructor_url": "/instructors/ROBERT_HARRON--instructor_c6612773bc44263fac7812ef" }, { "instructor_uid": "instructor_c513d17e5fc9a64193e0c6e5", "source": "madgrades", "source_instructor_id": "5452538", "identity_basis": "source_id", "identity_status": "source_identified", "name": "STEVEN SAM", "email": null, "first_observed_at": "2026-09-06 23:14:58.172943+00:00", "last_observed_at": "2026-09-07 15:55:43.033547+00:00", "ratings": { "review_count": 30, "quality": 1.77, "difficulty": 4.4, "quality_count": 30, "difficulty_count": 30, "profile_id": "rmp:2084959", "source_url": "https://www.ratemyprofessors.com/professor/2084959", "match_basis": "exact_name", "observed_at": "2026-09-07 16:04:37.382859+00:00", "courses": { "course_6bc496e4640fd08f71e1b041": { "review_count": 22, "quality": 1.36, "difficulty": 4.32, "quality_count": 22, "difficulty_count": 22 }, "course_63c43e7ac8225e2773df74d8": { "review_count": 1, "quality": 4, "difficulty": 4, "quality_count": 1, "difficulty_count": 1 } }, "bayesian_quality": 2.525874313418638, "prior_mean": 3.6596857835465957, "prior_weight": 20 }, "grade_statistics": { "gpa": 2.985, "graded": 421, "counts": [ 141, 56, 81, 43, 61, 24, 15 ], "sections": 12 }, "instructor_url": "/instructors/STEVEN_SAM--instructor_c513d17e5fc9a64193e0c6e5" }, { "instructor_uid": "instructor_cb2c5d2eb54246a04390c95e", "source": "madgrades", "source_instructor_id": "4896511", "identity_basis": "source_id", "identity_status": "source_identified", "name": "JOHN WILTSHIRE-GORDON", "email": null, "first_observed_at": "2026-09-06 23:14:58.172943+00:00", "last_observed_at": "2026-09-07 15:55:43.033547+00:00", "ratings": { "review_count": 4, "quality": 1.5, "difficulty": 4.25, "quality_count": 4, "difficulty_count": 4, "profile_id": "rmp:2321504", "source_url": "https://www.ratemyprofessors.com/professor/2321504", "match_basis": "exact_name", "observed_at": "2026-09-07 16:30:56.937463+00:00", "courses": { "course_63c43e7ac8225e2773df74d8": { "review_count": 3, "quality": 1.67, "difficulty": 4, "quality_count": 3, "difficulty_count": 3 } }, "bayesian_quality": 3.2997381529554963, "prior_mean": 3.6596857835465957, "prior_weight": 20 }, "grade_statistics": { "gpa": 3.441, "graded": 68, "counts": [ 41, 7, 8, 5, 3, 3, 1 ], "sections": 3 }, "instructor_url": "/instructors/JOHN_WILTSHIRE-GORDON--instructor_cb2c5d2eb54246a04390c95e" }, { "instructor_uid": "instructor_858fc74aa257d642fd64e6d4", "source": "madgrades", "source_instructor_id": "5852343", "identity_basis": "source_id", "identity_status": "source_identified", "name": "ALEKSANDR PAVLOV", "email": null, "first_observed_at": "2026-09-06 23:14:58.172943+00:00", "last_observed_at": "2026-09-07 15:55:43.033547+00:00", "ratings": { "review_count": 1, "quality": 1, "difficulty": 2, "quality_count": 1, "difficulty_count": 1, "profile_id": "rmp:2297210", "source_url": "https://www.ratemyprofessors.com/professor/2297210", "match_basis": "exact_name", "observed_at": "2026-09-07 16:57:08.239966+00:00", "courses": { "course_8634dde81cc95f6c58014087": { "review_count": 1, "quality": 1, "difficulty": 2, "quality_count": 1, "difficulty_count": 1 } }, "bayesian_quality": 3.533034079568186, "prior_mean": 3.6596857835465957, "prior_weight": 20 }, "grade_statistics": { "gpa": 2.876, "graded": 347, "counts": [ 81, 67, 72, 59, 28, 20, 20 ], "sections": 6 }, "instructor_url": "/instructors/ALEKSANDR_PAVLOV" }, { "instructor_uid": "instructor_ca7794c603d0986a6ffba113", "source": "madgrades", "source_instructor_id": "115083", "identity_basis": "source_id", "identity_status": "source_identified", "name": "EDWARD HANSON", "email": null, "first_observed_at": "2026-09-06 23:14:58.172943+00:00", "last_observed_at": "2026-09-07 15:55:43.033547+00:00", "grade_statistics": { "gpa": 3.221, "graded": 447, "counts": [ 186, 53, 105, 31, 53, 12, 7 ], "sections": 9 }, "instructor_url": "/instructors/EDWARD_HANSON--instructor_ca7794c603d0986a6ffba113" }, { "instructor_uid": "instructor_cdebe12f82db274ba9d0eda3", "source": "madgrades", "source_instructor_id": "2600973", "identity_basis": "source_id", "identity_status": "source_identified", "name": "STEFFEN LEMPP", "email": null, "first_observed_at": "2026-09-06 23:14:58.172943+00:00", "last_observed_at": "2026-09-07 15:55:43.033547+00:00", "ratings": { "review_count": 56, "quality": 1.86, "difficulty": 4.38, "quality_count": 56, "difficulty_count": 56, "profile_id": "rmp:133058", "source_url": "https://www.ratemyprofessors.com/professor/133058", "match_basis": "exact_name", "observed_at": "2026-09-07 16:05:01.368165+00:00", "courses": { "course_9b0dc1865ea603eb0083bc33": { "review_count": 19, "quality": 1.79, "difficulty": 4.32, "quality_count": 19, "difficulty_count": 19 }, "course_7e12e6bf6be7a81f7ca74420": { "review_count": 1, "quality": 3, "difficulty": 4, "quality_count": 1, "difficulty_count": 1 }, "course_9a1a7bf1933981bcbaca47ac": { "review_count": 7, "quality": 1.43, "difficulty": 4.71, "quality_count": 7, "difficulty_count": 7 }, "course_4aa5bbed0c86993f5f0dc832": { "review_count": 1, "quality": 3, "difficulty": 4, "quality_count": 1, "difficulty_count": 1 }, "course_3f55e55b94f0e0724493de53": { "review_count": 2, "quality": 3, "difficulty": 3.5, "quality_count": 2, "difficulty_count": 2 }, "course_fa53f4954bab469b5d4c4fe3": { "review_count": 1, "quality": 3, "difficulty": 4, "quality_count": 1, "difficulty_count": 1 }, "course_63c43e7ac8225e2773df74d8": { "review_count": 1, "quality": 1, "difficulty": 5, "quality_count": 1, "difficulty_count": 1 }, "course_6bc496e4640fd08f71e1b041": { "review_count": 2, "quality": 1.5, "difficulty": 5, "quality_count": 2, "difficulty_count": 2 } }, "bayesian_quality": 2.3336015219859463, "prior_mean": 3.6596857835465957, "prior_weight": 20 }, "grade_statistics": { "gpa": 2.843, "graded": 1712, "counts": [ 400, 271, 386, 204, 251, 148, 52 ], "sections": 50 }, "instructor_url": "/instructors/STEFFEN_LEMPP" }, { "instructor_uid": "instructor_58a9ce37366ae2f8dbd39a4f", "source": "madgrades", "source_instructor_id": "6242901", "identity_basis": "source_id", "identity_status": "source_identified", "name": "BALAZS BOROS", "email": null, "first_observed_at": "2026-09-06 23:14:58.172943+00:00", "last_observed_at": "2026-09-07 15:55:43.033547+00:00", "grade_statistics": { "gpa": 3.112, "graded": 174, "counts": [ 68, 23, 34, 10, 25, 12, 2 ], "sections": 6 }, "instructor_url": "/instructors/BALAZS_BOROS" }, { "instructor_uid": "instructor_9683e8eff917088edb4da921", "source": "madgrades", "source_instructor_id": "6244914", "identity_basis": "source_id", "identity_status": "source_identified", "name": "SIDDESH WAGH", "email": null, "first_observed_at": "2026-09-06 23:14:58.172943+00:00", "last_observed_at": "2026-09-07 15:55:43.033547+00:00", "grade_statistics": { "gpa": 3.098, "graded": 158, "counts": [ 34, 27, 61, 22, 9, 3, 2 ], "sections": 4 }, "instructor_url": "/instructors/SIDDESH_WAGH--instructor_9683e8eff917088edb4da921" }, { "instructor_uid": "instructor_1875f90a89dc101cbb5bf87c", "source": "madgrades", "source_instructor_id": "3749894", "identity_basis": "source_id", "identity_status": "source_identified", "name": "DANIELLE BURTON", "email": null, "first_observed_at": "2026-09-06 23:14:58.172943+00:00", "last_observed_at": "2026-09-07 15:55:43.033547+00:00", "grade_statistics": { "gpa": 3.08, "graded": 410, "counts": [ 153, 53, 81, 39, 52, 21, 11 ], "sections": 9 }, "instructor_url": "/instructors/DANIELLE_BURTON" }, { "instructor_uid": "instructor_426fba9cae006e259ed01714", "source": "madgrades", "source_instructor_id": "5024592", "identity_basis": "source_id", "identity_status": "source_identified", "name": "DOHYUN KWON", "email": null, "first_observed_at": "2026-09-06 23:14:58.172943+00:00", "last_observed_at": "2026-09-07 15:55:43.033547+00:00", "ratings": { "review_count": 10, "quality": 4, "difficulty": 3.7, "quality_count": 10, "difficulty_count": 10, "profile_id": "rmp:2697840", "source_url": "https://www.ratemyprofessors.com/professor/2697840", "match_basis": "exact_name", "observed_at": "2026-09-07 16:43:27.145832+00:00", "courses": { "course_dcdb624e3fb8cbaf9a557ab9": { "review_count": 3, "quality": 3.67, "difficulty": 4.33, "quality_count": 3, "difficulty_count": 3 }, "course_eec4aae06b946a73f1878be4": { "review_count": 7, "quality": 4.14, "difficulty": 3.43, "quality_count": 7, "difficulty_count": 7 } }, "bayesian_quality": 3.7731238556977305, "prior_mean": 3.6596857835465957, "prior_weight": 20 }, "grade_statistics": { "gpa": 3.045, "graded": 277, "counts": [ 107, 23, 64, 24, 36, 11, 12 ], "sections": 5 }, "instructor_url": "/instructors/DOHYUN_KWON" }, { "instructor_uid": "instructor_91ba0ecbfb754ecba5e7dd8c", "source": "madgrades", "source_instructor_id": "6318882", "identity_basis": "source_id", "identity_status": "source_identified", "name": "MIKHAIL IVANOV", "email": null, "first_observed_at": "2026-09-06 23:14:58.172943+00:00", "last_observed_at": "2026-09-07 15:55:43.033547+00:00", "ratings": { "review_count": 44, "quality": 3.14, "difficulty": 3.43, "quality_count": 44, "difficulty_count": 44, "profile_id": "rmp:2680569", "source_url": "https://www.ratemyprofessors.com/professor/2680569", "match_basis": "exact_name", "observed_at": "2026-09-07 16:17:02.037647+00:00", "courses": { "course_7e12e6bf6be7a81f7ca74420": { "review_count": 2, "quality": 5, "difficulty": 3, "quality_count": 2, "difficulty_count": 2 }, "course_dcdb624e3fb8cbaf9a557ab9": { "review_count": 5, "quality": 4.4, "difficulty": 3.2, "quality_count": 5, "difficulty_count": 5 }, "course_9a1a7bf1933981bcbaca47ac": { "review_count": 4, "quality": 3.5, "difficulty": 2.75, "quality_count": 4, "difficulty_count": 4 }, "course_6bc496e4640fd08f71e1b041": { "review_count": 13, "quality": 2.85, "difficulty": 3.38, "quality_count": 13, "difficulty_count": 13 }, "course_63c43e7ac8225e2773df74d8": { "review_count": 3, "quality": 4.33, "difficulty": 3.33, "quality_count": 3, "difficulty_count": 3 }, "course_e7b7ff33c37b147a17b2d14d": { "review_count": 1, "quality": 5, "difficulty": 3, "quality_count": 1, "difficulty_count": 1 }, "course_9b0dc1865ea603eb0083bc33": { "review_count": 13, "quality": 2.23, "difficulty": 4, "quality_count": 13, "difficulty_count": 13 }, "course_3b14f667f980624c1f5bde67": { "review_count": 3, "quality": 2.67, "difficulty": 3, "quality_count": 3, "difficulty_count": 3 } }, "bayesian_quality": 3.302401807358311, "prior_mean": 3.6596857835465957, "prior_weight": 20 }, "grade_statistics": { "gpa": 2.98, "graded": 1694, "counts": [ 516, 177, 453, 140, 286, 83, 39 ], "sections": 26 }, "instructor_url": "/instructors/MIKHAIL_IVANOV--instructor_91ba0ecbfb754ecba5e7dd8c" }, { "instructor_uid": "instructor_e0fb56b7bae68763eeb2fd33", "source": "madgrades", "source_instructor_id": "5178712", "identity_basis": "source_id", "identity_status": "source_identified", "name": "JUN LE GOH", "email": null, "first_observed_at": "2026-09-06 23:14:58.172943+00:00", "last_observed_at": "2026-09-07 15:55:43.033547+00:00", "ratings": { "review_count": 17, "quality": 3.24, "difficulty": 3.94, "quality_count": 17, "difficulty_count": 17, "profile_id": "rmp:2526934", "source_url": "https://www.ratemyprofessors.com/professor/2526934", "match_basis": "exact_name", "observed_at": "2026-09-07 16:29:29.569922+00:00", "courses": { "course_9a1a7bf1933981bcbaca47ac": { "review_count": 14, "quality": 2.86, "difficulty": 4, "quality_count": 14, "difficulty_count": 14 }, "course_63c43e7ac8225e2773df74d8": { "review_count": 2, "quality": 5, "difficulty": 3.5, "quality_count": 2, "difficulty_count": 2 } }, "bayesian_quality": 3.4668571802954573, "prior_mean": 3.6596857835465957, "prior_weight": 20 }, "grade_statistics": { "gpa": 3.329, "graded": 650, "counts": [ 230, 181, 137, 49, 31, 15, 7 ], "sections": 9 }, "instructor_url": "/instructors/JUN_LE_GOH--instructor_e0fb56b7bae68763eeb2fd33" }, { "instructor_uid": "instructor_5d4e06ca1f7228b5cb5a0ce9", "source": "madgrades", "source_instructor_id": "4794320", "identity_basis": "source_id", "identity_status": "source_identified", "name": "DAVID KEATING", "email": null, "first_observed_at": "2026-09-06 23:14:58.172943+00:00", "last_observed_at": "2026-09-07 15:55:43.033547+00:00", "ratings": { "review_count": 5, "quality": 4.6, "difficulty": 3.2, "quality_count": 5, "difficulty_count": 5, "profile_id": "rmp:2870456", "source_url": "https://www.ratemyprofessors.com/professor/2870456", "match_basis": "exact_name", "observed_at": "2026-09-07 16:44:53.625497+00:00", "courses": { "course_c602622d732dbbc9aceeeddf": { "review_count": 5, "quality": 4.6, "difficulty": 3.2, "quality_count": 5, "difficulty_count": 5 } }, "bayesian_quality": 3.8477486268372765, "prior_mean": 3.6596857835465957, "prior_weight": 20 }, "grade_statistics": { "gpa": 3.222, "graded": 282, "counts": [ 110, 36, 73, 21, 33, 5, 4 ], "sections": 13 }, "instructor_url": "/instructors/DAVID_KEATING" }, { "instructor_uid": "instructor_65da733714b2ad5c9be740c6", "source": "madgrades", "source_instructor_id": "5326109", "identity_basis": "source_id", "identity_status": "source_identified", "name": "ALEKSANDRA SOBIESKA", "email": null, "first_observed_at": "2026-09-06 23:14:58.172943+00:00", "last_observed_at": "2026-09-07 15:55:43.033547+00:00", "grade_statistics": { "gpa": 3.093, "graded": 641, "counts": [ 223, 83, 164, 42, 85, 33, 11 ], "sections": 8 }, "instructor_url": "/instructors/ALEKSANDRA_SOBIESKA" }, { "instructor_uid": "instructor_1078565b279a801a06f86832", "source": "madgrades", "source_instructor_id": "6492122", "identity_basis": "source_id", "identity_status": "source_identified", "name": "MANLIO VALENTI", "email": null, "first_observed_at": "2026-09-06 23:14:58.172943+00:00", "last_observed_at": "2026-09-07 15:55:43.033547+00:00", "ratings": { "review_count": 3, "quality": 3.67, "difficulty": 3, "quality_count": 3, "difficulty_count": 3, "profile_id": "rmp:2872255", "source_url": "https://www.ratemyprofessors.com/professor/2872255", "match_basis": "exact_name", "observed_at": "2026-09-07 16:21:24.542748+00:00", "courses": { "course_63c43e7ac8225e2773df74d8": { "review_count": 3, "quality": 3.67, "difficulty": 3, "quality_count": 3, "difficulty_count": 3 } }, "bayesian_quality": 3.6610311161274747, "prior_mean": 3.6596857835465957, "prior_weight": 20 }, "grade_statistics": { "gpa": 2.948, "graded": 97, "counts": [ 36, 10, 20, 6, 13, 6, 6 ], "sections": 5 }, "instructor_url": "/instructors/MANLIO_VALENTI" }, { "instructor_uid": "instructor_ede8aed2cc73dd8c67230acc", "source": "madgrades", "source_instructor_id": "3150637", "identity_basis": "source_id", "identity_status": "source_identified", "name": "MITCH KELLER", "email": null, "first_observed_at": "2026-09-06 23:14:58.172943+00:00", "last_observed_at": "2026-09-07 15:55:43.033547+00:00", "ratings": { "review_count": 37, "quality": 2.84, "difficulty": 3.46, "quality_count": 37, "difficulty_count": 37, "profile_id": "rmp:2872701", "source_url": "https://www.ratemyprofessors.com/professor/2872701", "match_basis": "exact_name", "observed_at": "2026-09-07 16:16:47.023696+00:00", "courses": { "course_63c43e7ac8225e2773df74d8": { "review_count": 2, "quality": 2, "difficulty": 4, "quality_count": 2, "difficulty_count": 2 }, "course_9a1a7bf1933981bcbaca47ac": { "review_count": 27, "quality": 2.67, "difficulty": 3.48, "quality_count": 27, "difficulty_count": 27 }, "course_e7b7ff33c37b147a17b2d14d": { "review_count": 1, "quality": 5, "difficulty": 3, "quality_count": 1, "difficulty_count": 1 } }, "bayesian_quality": 3.127609046858454, "prior_mean": 3.6596857835465957, "prior_weight": 20 }, "grade_statistics": { "gpa": 2.999, "graded": 1096, "counts": [ 344, 172, 191, 152, 149, 58, 30 ], "sections": 11 }, "instructor_url": "/instructors/MITCH_KELLER--instructor_ede8aed2cc73dd8c67230acc" }, { "instructor_uid": "instructor_495d959af0edec197ef1c1a4", "source": "madgrades", "source_instructor_id": "6083170", "identity_basis": "source_id", "identity_status": "source_identified", "name": "SHENGWEN GAN", "email": null, "first_observed_at": "2026-09-06 23:14:58.172943+00:00", "last_observed_at": "2026-09-07 15:55:43.033547+00:00", "ratings": { "review_count": 13, "quality": 2.08, "difficulty": 3.46, "quality_count": 13, "difficulty_count": 13, "profile_id": "rmp:2933442", "source_url": "https://www.ratemyprofessors.com/professor/2933442", "match_basis": "exact_name", "observed_at": "2026-09-07 16:05:53.065256+00:00", "courses": { "course_7d3f055b392d74c588d35d0b": { "review_count": 1, "quality": 3, "difficulty": 3, "quality_count": 1, "difficulty_count": 1 }, "course_0dd25611eebe714d971b7bfb": { "review_count": 4, "quality": 2, "difficulty": 3.5, "quality_count": 4, "difficulty_count": 4 }, "course_bac5b63415c0e4cd6d5c3848": { "review_count": 1, "quality": 1, "difficulty": 3, "quality_count": 1, "difficulty_count": 1 }, "course_eec4aae06b946a73f1878be4": { "review_count": 3, "quality": 2.33, "difficulty": 3.33, "quality_count": 3, "difficulty_count": 3 }, "course_63c43e7ac8225e2773df74d8": { "review_count": 4, "quality": 2, "difficulty": 3.75, "quality_count": 4, "difficulty_count": 4 } }, "bayesian_quality": 3.0373853233615726, "prior_mean": 3.6596857835465957, "prior_weight": 20 }, "grade_statistics": { "gpa": 3.055, "graded": 397, "counts": [ 133, 53, 92, 39, 49, 24, 7 ], "sections": 7 }, "instructor_url": "/instructors/SHENGWEN_GAN--instructor_495d959af0edec197ef1c1a4" }, { "instructor_uid": "instructor_f3eee5c71b9825c49d9eb0c0", "source": "madgrades", "source_instructor_id": "3631895", "identity_basis": "source_id", "identity_status": "source_identified", "name": "LINDSAY STOVALL", "email": null, "first_observed_at": "2026-09-06 23:14:58.172943+00:00", "last_observed_at": "2026-09-07 15:55:43.033547+00:00", "grade_statistics": { "gpa": 3.296, "graded": 1555, "counts": [ 763, 129, 338, 78, 181, 51, 15 ], "sections": 55 }, "instructor_url": "/instructors/LINDSAY_STOVALL--instructor_f3eee5c71b9825c49d9eb0c0" }, { "instructor_uid": "instructor_60b7d02bb0f2683b9c6a389f", "source": "madgrades", "source_instructor_id": "5912228", "identity_basis": "source_id", "identity_status": "source_identified", "name": "RAJULA SRIVASTAVA", "email": null, "first_observed_at": "2026-09-06 23:14:58.172943+00:00", "last_observed_at": "2026-09-07 15:55:43.033547+00:00", "ratings": { "review_count": 8, "quality": 2.75, "difficulty": 3.12, "quality_count": 8, "difficulty_count": 8, "profile_id": "rmp:3147828", "source_url": "https://www.ratemyprofessors.com/professor/3147828", "match_basis": "exact_name", "observed_at": "2026-09-07 16:10:42.998007+00:00", "courses": { "course_63c43e7ac8225e2773df74d8": { "review_count": 1, "quality": 5, "difficulty": 2, "quality_count": 1, "difficulty_count": 1 }, "course_cc1de60e9953cdd9c469e9a5": { "review_count": 7, "quality": 2.43, "difficulty": 3.29, "quality_count": 7, "difficulty_count": 7 } }, "bayesian_quality": 3.3997755596761396, "prior_mean": 3.6596857835465957, "prior_weight": 20 }, "grade_statistics": { "gpa": 2.885, "graded": 200, "counts": [ 59, 17, 52, 15, 36, 16, 5 ], "sections": 4 }, "instructor_url": "/instructors/RAJULA_SRIVASTAVA" }, { "instructor_uid": "instructor_3eeb755915088b19ce4d0e3c", "source": "enrollment", "source_instructor_id": "mtkeller2", "identity_basis": "netid", "identity_status": "source_identified", "name": "Mitch Keller", "email": "MITCH.KELLER@WISC.EDU", "first_observed_at": "2026-09-07 15:55:43.033547+00:00", "last_observed_at": "2026-09-07 15:55:43.033547+00:00", "ratings": { "review_count": 37, "quality": 2.84, "difficulty": 3.46, "quality_count": 37, "difficulty_count": 37, "profile_id": "rmp:2872701", "source_url": "https://www.ratemyprofessors.com/professor/2872701", "match_basis": "exact_name", "observed_at": "2026-09-07 16:16:47.023696+00:00", "courses": { "course_63c43e7ac8225e2773df74d8": { "review_count": 2, "quality": 2, "difficulty": 4, "quality_count": 2, "difficulty_count": 2 }, "course_9a1a7bf1933981bcbaca47ac": { "review_count": 27, "quality": 2.67, "difficulty": 3.48, "quality_count": 27, "difficulty_count": 27 }, "course_e7b7ff33c37b147a17b2d14d": { "review_count": 1, "quality": 5, "difficulty": 3, "quality_count": 1, "difficulty_count": 1 } }, "bayesian_quality": 3.127609046858454, "prior_mean": 3.6596857835465957, "prior_weight": 20 }, "instructor_url": "/instructors/MITCH_KELLER" }, { "instructor_uid": "instructor_6f78a52f7684feaea56867f1", "source": "enrollment", "source_instructor_id": "pmterwil", "identity_basis": "netid", "identity_status": "source_identified", "name": "Paul Terwilliger", "email": "TERWILLI@MATH.WISC.EDU", "first_observed_at": "2026-09-07 15:55:43.033547+00:00", "last_observed_at": "2026-09-07 15:55:43.033547+00:00", "ratings": { "review_count": 38, "quality": 2.76, "difficulty": 3.05, "quality_count": 38, "difficulty_count": 38, "profile_id": "rmp:952212", "source_url": "https://www.ratemyprofessors.com/professor/952212", "match_basis": "exact_name", "observed_at": "2026-09-07 16:12:25.084074+00:00", "courses": { "course_63c43e7ac8225e2773df74d8": { "review_count": 25, "quality": 2.72, "difficulty": 3.48, "quality_count": 25, "difficulty_count": 25 }, "course_0002a781bc9543f3a2ac1a94": { "review_count": 4, "quality": 3, "difficulty": 2, "quality_count": 4, "difficulty_count": 4 }, "course_60c2767a206a079d3af2a1a4": { "review_count": 1, "quality": 3, "difficulty": 4, "quality_count": 1, "difficulty_count": 1 } }, "bayesian_quality": 3.070236477085033, "prior_mean": 3.6596857835465957, "prior_weight": 20 }, "instructor_url": "/instructors/PAUL_TERWILLIGER" } ] ``` ### grades ```json [ { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "COMPSCI/MATH/STAT 475", "course_uid": "course_63c43e7ac8225e2773df74d8", "term_id": "1072", "term_name": "Fall 2006", "instructors": [ "DIETRICH UHLENBROCK", "LEV BORISOV" ], "a": 7, "ab": 3, "b": 9, "bc": 2, "c": 6, "d": 0, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 27, "source_aliases": [ "COMPSCI/MATH/STAT 475" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "COMPSCI/MATH/STAT 475", "course_uid": "course_63c43e7ac8225e2773df74d8", "term_id": "1074", "term_name": "Spring 2007", "instructors": [ "ALBRECHT KLEMM" ], "a": 8, "ab": 2, "b": 7, "bc": 0, "c": 2, "d": 0, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 19, "source_aliases": [ "COMPSCI/MATH/STAT 475" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "COMPSCI/MATH/STAT 475", "course_uid": "course_63c43e7ac8225e2773df74d8", "term_id": "1082", "term_name": "Fall 2007", "instructors": [ "RICHARD A BRUALDI" ], "a": 6, "ab": 8, "b": 8, "bc": 4, "c": 5, "d": 1, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 32, "source_aliases": [ "COMPSCI/MATH/STAT 475" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "COMPSCI/MATH/STAT 475", "course_uid": "course_63c43e7ac8225e2773df74d8", "term_id": "1084", "term_name": "Spring 2008", "instructors": [ "KEN ONO" ], "a": 9, "ab": 2, "b": 5, "bc": 0, "c": 2, "d": 0, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 18, "source_aliases": [ "COMPSCI/MATH/STAT 475" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "COMPSCI/MATH/STAT 475", "course_uid": "course_63c43e7ac8225e2773df74d8", "term_id": "1092", "term_name": "Fall 2008", "instructors": [ "KEN ONO" ], "a": 7, "ab": 3, "b": 11, "bc": 1, "c": 1, "d": 0, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 23, "source_aliases": [ "COMPSCI/MATH/STAT 475" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "COMPSCI/MATH/STAT 475", "course_uid": "course_63c43e7ac8225e2773df74d8", "term_id": "1094", "term_name": "Spring 2009", "instructors": [ "YANNAN QIU" ], "a": 8, "ab": 7, "b": 9, "bc": 2, "c": 2, "d": 0, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 1, "no_work": 0, "not_reported": 0, "other": 0, "total": 29, "source_aliases": [ "COMPSCI/MATH/STAT 475" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "COMPSCI/MATH/STAT 475", "course_uid": "course_63c43e7ac8225e2773df74d8", "term_id": "1102", "term_name": "Fall 2009", "instructors": [ "KEN ONO" ], "a": 17, "ab": 9, "b": 6, "bc": 1, "c": 3, "d": 1, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 1, "other": 0, "total": 38, "source_aliases": [ "COMPSCI/MATH/STAT 475" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "COMPSCI/MATH/STAT 475", "course_uid": "course_63c43e7ac8225e2773df74d8", "term_id": "1104", "term_name": "Spring 2010", "instructors": [ "ARNOLD W MILLER" ], "a": 9, "ab": 3, "b": 4, "bc": 2, "c": 7, "d": 0, "f": 1, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 26, "source_aliases": [ "COMPSCI/MATH/STAT 475" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "COMPSCI/MATH/STAT 475", "course_uid": "course_63c43e7ac8225e2773df74d8", "term_id": "1112", "term_name": "Fall 2010", "instructors": [ "ARNOLD W MILLER" ], "a": 15, "ab": 7, "b": 13, "bc": 0, "c": 6, "d": 1, "f": 2, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 44, "source_aliases": [ "COMPSCI/MATH/STAT 475" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "COMPSCI/MATH/STAT 475", "course_uid": "course_63c43e7ac8225e2773df74d8", "term_id": "1114", "term_name": "Spring 2011", "instructors": [ "Tonghai Yang" ], "a": 14, "ab": 2, "b": 7, "bc": 2, "c": 9, "d": 2, "f": 1, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 37, "source_aliases": [ "COMPSCI/MATH/STAT 475" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "COMPSCI/MATH/STAT 475", "course_uid": "course_63c43e7ac8225e2773df74d8", "term_id": "1122", "term_name": "Fall 2011", "instructors": [ "MATTHEW BALLARD" ], "a": 15, "ab": 11, "b": 9, "bc": 3, "c": 5, "d": 0, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 43, "source_aliases": [ "COMPSCI/MATH/STAT 475" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "COMPSCI/MATH/STAT 475", "course_uid": "course_63c43e7ac8225e2773df74d8", "term_id": "1124", "term_name": "Spring 2012", "instructors": [ "Tonghai Yang" ], "a": 15, "ab": 0, "b": 8, "bc": 3, "c": 9, "d": 3, "f": 5, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 43, "source_aliases": [ "COMPSCI/MATH/STAT 475" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "COMPSCI/MATH/STAT 475", "course_uid": "course_63c43e7ac8225e2773df74d8", "term_id": "1132", "term_name": "Fall 2012", "instructors": [ "Paul Terwilliger" ], "a": 10, "ab": 7, "b": 5, "bc": 2, "c": 1, "d": 4, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 1, "not_reported": 0, "other": 0, "total": 30, "source_aliases": [ "COMPSCI/MATH/STAT 475" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "COMPSCI/MATH/STAT 475", "course_uid": "course_63c43e7ac8225e2773df74d8", "term_id": "1134", "term_name": "Spring 2013", "instructors": [ "Tonghai Yang" ], "a": 16, "ab": 3, "b": 3, "bc": 3, "c": 8, "d": 4, "f": 1, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 1, "other": 0, "total": 39, "source_aliases": [ "COMPSCI/MATH/STAT 475" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "COMPSCI/MATH/STAT 475", "course_uid": "course_63c43e7ac8225e2773df74d8", "term_id": "1142", "term_name": "Fall 2013", "instructors": [ "ROBERT HARRON" ], "a": 10, "ab": 7, "b": 11, "bc": 6, "c": 5, "d": 4, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 43, "source_aliases": [ "COMPSCI/MATH/STAT 475" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "COMPSCI/MATH/STAT 475", "course_uid": "course_63c43e7ac8225e2773df74d8", "term_id": "1144", "term_name": "Spring 2014", "instructors": [ "Paul Terwilliger" ], "a": 12, "ab": 5, "b": 9, "bc": 4, "c": 2, "d": 1, "f": 5, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 38, "source_aliases": [ "COMPSCI/MATH/STAT 475" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "COMPSCI/MATH/STAT 475", "course_uid": "course_63c43e7ac8225e2773df74d8", "term_id": "1152", "term_name": "Fall 2014", "instructors": [ "Paul Terwilliger" ], "a": 10, "ab": 8, "b": 15, "bc": 2, "c": 2, "d": 5, "f": 1, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 1, "not_reported": 0, "other": 0, "total": 44, "source_aliases": [ "COMPSCI/MATH/STAT 475" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "COMPSCI/MATH/STAT 475", "course_uid": "course_63c43e7ac8225e2773df74d8", "term_id": "1154", "term_name": "Spring 2015", "instructors": [ "Paul Terwilliger" ], "a": 14, "ab": 5, "b": 6, "bc": 2, "c": 6, "d": 2, "f": 2, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 37, "source_aliases": [ "COMPSCI/MATH/STAT 475" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "COMPSCI/MATH/STAT 475", "course_uid": "course_63c43e7ac8225e2773df74d8", "term_id": "1162", "term_name": "Fall 2015", "instructors": [ "STEVEN SAM" ], "a": 11, "ab": 7, "b": 8, "bc": 4, "c": 2, "d": 1, "f": 2, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 35, "source_aliases": [ "COMPSCI/MATH/STAT 475" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "COMPSCI/MATH/STAT 475", "course_uid": "course_63c43e7ac8225e2773df74d8", "term_id": "1164", "term_name": "Spring 2016", "instructors": [ "Paul Terwilliger" ], "a": 20, "ab": 9, "b": 13, "bc": 5, "c": 4, "d": 0, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 51, "source_aliases": [ "COMPSCI/MATH/STAT 475" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "COMPSCI/MATH/STAT 475", "course_uid": "course_63c43e7ac8225e2773df74d8", "term_id": "1172", "term_name": "Fall 2016", "instructors": [ "Paul Terwilliger" ], "a": 20, "ab": 4, "b": 17, "bc": 4, "c": 7, "d": 0, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 52, "source_aliases": [ "COMPSCI/MATH/STAT 475" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "COMPSCI/MATH/STAT 475", "course_uid": "course_63c43e7ac8225e2773df74d8", "term_id": "1174", "term_name": "Spring 2017", "instructors": [ "Tonghai Yang" ], "a": 22, "ab": 1, "b": 12, "bc": 3, "c": 17, "d": 6, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 61, "source_aliases": [ "COMPSCI/MATH/STAT 475" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "COMPSCI/MATH/STAT 475", "course_uid": "course_63c43e7ac8225e2773df74d8", "term_id": "1182", "term_name": "Fall 2017", "instructors": [ "JOHN WILTSHIRE-GORDON", "Paul Terwilliger" ], "a": 29, "ab": 13, "b": 22, "bc": 5, "c": 8, "d": 6, "f": 2, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 85, "source_aliases": [ "COMPSCI/MATH/STAT 475" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "COMPSCI/MATH/STAT 475", "course_uid": "course_63c43e7ac8225e2773df74d8", "term_id": "1184", "term_name": "Spring 2018", "instructors": [ "ALEKSANDR PAVLOV", "Paul Terwilliger" ], "a": 18, "ab": 8, "b": 29, "bc": 8, "c": 12, "d": 2, "f": 5, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 1, "total": 83, "source_aliases": [ "COMPSCI/MATH/STAT 475" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "COMPSCI/MATH/STAT 475", "course_uid": "course_63c43e7ac8225e2773df74d8", "term_id": "1192", "term_name": "Fall 2018", "instructors": [ "EDWARD HANSON", "Paul Terwilliger" ], "a": 41, "ab": 13, "b": 37, "bc": 11, "c": 15, "d": 7, "f": 3, "satisfactory": 1, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 128, "source_aliases": [ "COMPSCI/MATH/STAT 475" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "COMPSCI/MATH/STAT 475", "course_uid": "course_63c43e7ac8225e2773df74d8", "term_id": "1194", "term_name": "Spring 2019", "instructors": [ "EDWARD HANSON", "Paul Terwilliger", "STEFFEN LEMPP" ], "a": 34, "ab": 14, "b": 23, "bc": 14, "c": 17, "d": 9, "f": 3, "satisfactory": 1, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 115, "source_aliases": [ "COMPSCI/MATH/STAT 475" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "COMPSCI/MATH/STAT 475", "course_uid": "course_63c43e7ac8225e2773df74d8", "term_id": "1202", "term_name": "Fall 2019", "instructors": [ "BALAZS BOROS", "Paul Terwilliger" ], "a": 39, "ab": 10, "b": 27, "bc": 14, "c": 22, "d": 2, "f": 1, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 115, "source_aliases": [ "COMPSCI/MATH/STAT 475" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "COMPSCI/MATH/STAT 475", "course_uid": "course_63c43e7ac8225e2773df74d8", "term_id": "1204", "term_name": "Spring 2020", "instructors": [ "BALAZS BOROS", "Paul Terwilliger", "SIDDESH WAGH" ], "a": 42, "ab": 11, "b": 15, "bc": 5, "c": 4, "d": 4, "f": 2, "satisfactory": 51, "unsatisfactory": 7, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 141, "source_aliases": [ "COMPSCI/MATH/STAT 475" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "COMPSCI/MATH/STAT 475", "course_uid": "course_63c43e7ac8225e2773df74d8", "term_id": "1212", "term_name": "Fall 2020", "instructors": [ "DANIELLE BURTON", "DOHYUN KWON", "Mikhail Ivanov", "Paul Terwilliger" ], "a": 65, "ab": 14, "b": 23, "bc": 12, "c": 13, "d": 3, "f": 5, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 1, "not_reported": 0, "other": 1, "total": 137, "source_aliases": [ "COMPSCI/MATH/STAT 475" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "COMPSCI/MATH/STAT 475", "course_uid": "course_63c43e7ac8225e2773df74d8", "term_id": "1222", "term_name": "Fall 2021", "instructors": [ "JUN LE GOH", "Mikhail Ivanov" ], "a": 30, "ab": 11, "b": 16, "bc": 6, "c": 10, "d": 4, "f": 2, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 1, "no_work": 0, "not_reported": 0, "other": 0, "total": 80, "source_aliases": [ "COMPSCI/MATH/STAT 475" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "COMPSCI/MATH/STAT 475", "course_uid": "course_63c43e7ac8225e2773df74d8", "term_id": "1224", "term_name": "Spring 2022", "instructors": [ "DAVID KEATING", "Paul Terwilliger" ], "a": 50, "ab": 11, "b": 33, "bc": 10, "c": 22, "d": 4, "f": 3, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 1, "no_work": 0, "not_reported": 0, "other": 1, "total": 135, "source_aliases": [ "COMPSCI/MATH/STAT 475" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "COMPSCI/MATH/STAT 475", "course_uid": "course_63c43e7ac8225e2773df74d8", "term_id": "1232", "term_name": "Fall 2022", "instructors": [ "ALEKSANDRA SOBIESKA", "Paul Terwilliger" ], "a": 51, "ab": 7, "b": 30, "bc": 13, "c": 25, "d": 3, "f": 3, "satisfactory": 1, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 133, "source_aliases": [ "COMPSCI/MATH/STAT 475" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "COMPSCI/MATH/STAT 475", "course_uid": "course_63c43e7ac8225e2773df74d8", "term_id": "1234", "term_name": "Spring 2023", "instructors": [ "MANLIO VALENTI", "Paul Terwilliger" ], "a": 35, "ab": 16, "b": 27, "bc": 11, "c": 17, "d": 2, "f": 9, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 117, "source_aliases": [ "COMPSCI/MATH/STAT 475" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "COMPSCI/MATH/STAT 475", "course_uid": "course_63c43e7ac8225e2773df74d8", "term_id": "1242", "term_name": "Fall 2023", "instructors": [ "Mikhail Ivanov", "Mitch Keller", "Paul Terwilliger" ], "a": 35, "ab": 17, "b": 25, "bc": 3, "c": 10, "d": 5, "f": 1, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 1, "no_work": 0, "not_reported": 0, "other": 0, "total": 97, "source_aliases": [ "COMPSCI/MATH/STAT 475" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "COMPSCI/MATH/STAT 475", "course_uid": "course_63c43e7ac8225e2773df74d8", "term_id": "1244", "term_name": "Spring 2024", "instructors": [ "Mitch Keller", "Paul Terwilliger", "SHENGWEN GAN" ], "a": 43, "ab": 9, "b": 33, "bc": 16, "c": 16, "d": 4, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 121, "source_aliases": [ "COMPSCI/MATH/STAT 475" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "COMPSCI/MATH/STAT 475", "course_uid": "course_63c43e7ac8225e2773df74d8", "term_id": "1252", "term_name": "Fall 2024", "instructors": [ "BALAZS BOROS", "Paul Terwilliger" ], "a": 47, "ab": 17, "b": 15, "bc": 5, "c": 12, "d": 8, "f": 2, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 106, "source_aliases": [ "COMPSCI/MATH/STAT 475" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "COMPSCI/MATH/STAT 475", "course_uid": "course_63c43e7ac8225e2773df74d8", "term_id": "1254", "term_name": "Spring 2025", "instructors": [ "LINDSAY STOVALL", "Paul Terwilliger" ], "a": 48, "ab": 11, "b": 20, "bc": 9, "c": 9, "d": 1, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 1, "other": 0, "total": 99, "source_aliases": [ "COMPSCI/MATH/STAT 475" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "COMPSCI/MATH/STAT 475", "course_uid": "course_63c43e7ac8225e2773df74d8", "term_id": "1262", "term_name": "Fall 2025", "instructors": [ "Mitch Keller", "Paul Terwilliger" ], "a": 23, "ab": 12, "b": 20, "bc": 13, "c": 7, "d": 2, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 1, "no_work": 0, "not_reported": 0, "other": 0, "total": 78, "source_aliases": [ "COMPSCI/MATH/STAT 475" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "COMPSCI/MATH/STAT 475", "course_uid": "course_63c43e7ac8225e2773df74d8", "term_id": "1264", "term_name": "Spring 2026", "instructors": [ "Mitch Keller", "RAJULA SRIVASTAVA" ], "a": 24, "ab": 11, "b": 16, "bc": 9, "c": 3, "d": 0, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 63, "source_aliases": [ "COMPSCI/MATH/STAT 475" ] } ] ``` ### statistics #### gpa 3.101 #### graded 2567 #### counts * 929 * 318 * 606 * 219 * 333 * 101 * 61 ### grade conflicts None recorded. ### evidence #### history * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course\_63c43e7ac8225e2773df74d8-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course_63c43e7ac8225e2773df74d8-0.json) #### traces * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course\_63c43e7ac8225e2773df74d8-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course_63c43e7ac8225e2773df74d8-0.json) * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course\_63c43e7ac8225e2773df74d8-1.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course_63c43e7ac8225e2773df74d8-1.json) #### reviews * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/reviews/course\_63c43e7ac8225e2773df74d8-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/reviews/course_63c43e7ac8225e2773df74d8-0.json) #### meetings * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/meetings/course\_63c43e7ac8225e2773df74d8-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/meetings/course_63c43e7ac8225e2773df74d8-0.json) #### results * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course\_63c43e7ac8225e2773df74d8-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course_63c43e7ac8225e2773df74d8-0.json) ### revision e243353dcb7d79b7247ced91d69443ef4c2a6349 ## context ### all #### term #### gpa 3.10148032723023 #### count 2567 #### university ##### size 5784 ##### gpa Percentile 4 ##### count Percentile 93 ##### median Count 240.5 ##### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 0 | false | | 2.4–2.8 | 12 | false | | 2.8–3.2 | 363 | true | | 3.2–3.6 | 1576 | false | | 3.6–4.0 | 3833 | false | #### departments ```json [ { "subject": "COMPSCI", "comparison": { "size": 111, "gpaPercentile": 9, "countPercentile": 81, "medianCount": 595, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 15, "current": true }, { "range": "3.2–3.6", "count": 32, "current": false }, { "range": "3.6–4.0", "count": 64, "current": false } ] } }, { "subject": "MATH", "comparison": { "size": 136, "gpaPercentile": 19, "countPercentile": 86, "medianCount": 272.5, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 4, "current": false }, { "range": "2.8–3.2", "count": 33, "current": true }, { "range": "3.2–3.6", "count": 25, "current": false }, { "range": "3.6–4.0", "count": 74, "current": false } ] } }, { "subject": "STAT", "comparison": { "size": 78, "gpaPercentile": 5, "countPercentile": 88, "medianCount": 420, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 9, "current": true }, { "range": "3.2–3.6", "count": 30, "current": false }, { "range": "3.6–4.0", "count": 39, "current": false } ] } } ] ``` ### terms #### 1072 ##### term 1072 ##### gpa 3.0555555555555554 ##### count 27 ##### departments | subject | comparison | | ------- | ---------- | | COMPSCI | | | MATH | | | STAT | | #### 1074 ##### term 1074 ##### gpa 3.3684210526315788 ##### count 19 ##### departments | subject | comparison | | ------- | ---------- | | COMPSCI | | | MATH | | | STAT | | #### 1082 ##### term 1082 ##### gpa 3.03125 ##### count 32 ##### university ###### size 723 ###### gpa Percentile 21 ###### count Percentile 7 ###### median Count 68 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 1 | false | | 2.4–2.8 | 51 | false | | 2.8–3.2 | 202 | true | | 3.2–3.6 | 265 | false | | 3.6–4.0 | 204 | false | ##### departments ```json [ { "subject": "COMPSCI", "comparison": { "size": 15, "gpaPercentile": 36, "countPercentile": 7, "medianCount": 49, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 1, "current": false }, { "range": "2.8–3.2", "count": 8, "current": true }, { "range": "3.2–3.6", "count": 5, "current": false }, { "range": "3.6–4.0", "count": 1, "current": false } ] } }, { "subject": "MATH", "comparison": { "size": 20, "gpaPercentile": 68, "countPercentile": 0, "medianCount": 122, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 1, "current": false }, { "range": "2.4–2.8", "count": 9, "current": false }, { "range": "2.8–3.2", "count": 7, "current": true }, { "range": "3.2–3.6", "count": 3, "current": false }, { "range": "3.6–4.0", "count": 0, "current": false } ] } }, { "subject": "STAT", "comparison": { "size": 10, "gpaPercentile": 33, "countPercentile": 0, "medianCount": 66.5, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 7, "current": true }, { "range": "3.2–3.6", "count": 2, "current": false }, { "range": "3.6–4.0", "count": 1, "current": false } ] } } ] ``` #### 1084 ##### term 1084 ##### gpa 3.4444444444444446 ##### count 18 ##### departments | subject | comparison | | ------- | ---------- | | COMPSCI | | | MATH | | | STAT | | #### 1092 ##### term 1092 ##### gpa 3.3043478260869565 ##### count 23 ##### departments | subject | comparison | | ------- | ---------- | | COMPSCI | | | MATH | | | STAT | | #### 1094 ##### term 1094 ##### gpa 3.3035714285714284 ##### count 28 ##### departments | subject | comparison | | ------- | ---------- | | COMPSCI | | | MATH | | | STAT | | #### 1102 ##### term 1102 ##### gpa 3.4324324324324325 ##### count 37 ##### university ###### size 774 ###### gpa Percentile 58 ###### count Percentile 14 ###### median Count 67 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 1 | false | | 2.0–2.4 | 1 | false | | 2.4–2.8 | 49 | false | | 2.8–3.2 | 201 | false | | 3.2–3.6 | 287 | true | | 3.6–4.0 | 235 | false | ##### departments ```json [ { "subject": "COMPSCI", "comparison": { "size": 19, "gpaPercentile": 83, "countPercentile": 17, "medianCount": 61, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 2, "current": false }, { "range": "2.8–3.2", "count": 9, "current": false }, { "range": "3.2–3.6", "count": 7, "current": true }, { "range": "3.6–4.0", "count": 1, "current": false } ] } }, { "subject": "MATH", "comparison": { "size": 27, "gpaPercentile": 100, "countPercentile": 15, "medianCount": 76, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 1, "current": false }, { "range": "2.4–2.8", "count": 8, "current": false }, { "range": "2.8–3.2", "count": 11, "current": false }, { "range": "3.2–3.6", "count": 7, "current": true }, { "range": "3.6–4.0", "count": 0, "current": false } ] } }, { "subject": "STAT", "comparison": { "size": 15, "gpaPercentile": 71, "countPercentile": 14, "medianCount": 72, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 1, "current": false }, { "range": "2.8–3.2", "count": 4, "current": false }, { "range": "3.2–3.6", "count": 9, "current": true }, { "range": "3.6–4.0", "count": 1, "current": false } ] } } ] ``` #### 1104 ##### term 1104 ##### gpa 2.980769230769231 ##### count 26 ##### departments | subject | comparison | | ------- | ---------- | | COMPSCI | | | MATH | | | STAT | | #### 1112 ##### term 1112 ##### gpa 3.102272727272727 ##### count 44 ##### university ###### size 805 ###### gpa Percentile 24 ###### count Percentile 27 ###### median Count 66 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 1 | false | | 2.4–2.8 | 45 | false | | 2.8–3.2 | 218 | true | | 3.2–3.6 | 316 | false | | 3.6–4.0 | 225 | false | ##### departments ```json [ { "subject": "COMPSCI", "comparison": { "size": 27, "gpaPercentile": 35, "countPercentile": 58, "medianCount": 41, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 1, "current": false }, { "range": "2.8–3.2", "count": 10, "current": true }, { "range": "3.2–3.6", "count": 10, "current": false }, { "range": "3.6–4.0", "count": 6, "current": false } ] } }, { "subject": "MATH", "comparison": { "size": 26, "gpaPercentile": 64, "countPercentile": 24, "medianCount": 87, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 1, "current": false }, { "range": "2.4–2.8", "count": 7, "current": false }, { "range": "2.8–3.2", "count": 12, "current": true }, { "range": "3.2–3.6", "count": 5, "current": false }, { "range": "3.6–4.0", "count": 1, "current": false } ] } }, { "subject": "STAT", "comparison": { "size": 14, "gpaPercentile": 31, "countPercentile": 23, "medianCount": 68.5, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 6, "current": true }, { "range": "3.2–3.6", "count": 7, "current": false }, { "range": "3.6–4.0", "count": 1, "current": false } ] } } ] ``` #### 1114 ##### term 1114 ##### gpa 2.945945945945946 ##### count 37 ##### university ###### size 804 ###### gpa Percentile 14 ###### count Percentile 14 ###### median Count 68 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 1 | false | | 2.4–2.8 | 53 | false | | 2.8–3.2 | 231 | true | | 3.2–3.6 | 292 | false | | 3.6–4.0 | 227 | false | ##### departments ```json [ { "subject": "COMPSCI", "comparison": { "size": 18, "gpaPercentile": 0, "countPercentile": 18, "medianCount": 58, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 9, "current": true }, { "range": "3.2–3.6", "count": 6, "current": false }, { "range": "3.6–4.0", "count": 3, "current": false } ] } }, { "subject": "MATH", "comparison": { "size": 26, "gpaPercentile": 48, "countPercentile": 16, "medianCount": 83.5, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 8, "current": false }, { "range": "2.8–3.2", "count": 15, "current": true }, { "range": "3.2–3.6", "count": 3, "current": false }, { "range": "3.6–4.0", "count": 0, "current": false } ] } }, { "subject": "STAT", "comparison": { "size": 14, "gpaPercentile": 23, "countPercentile": 8, "medianCount": 76, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 2, "current": false }, { "range": "2.8–3.2", "count": 4, "current": true }, { "range": "3.2–3.6", "count": 8, "current": false }, { "range": "3.6–4.0", "count": 0, "current": false } ] } } ] ``` #### 1122 ##### term 1122 ##### gpa 3.3255813953488373 ##### count 43 ##### university ###### size 804 ###### gpa Percentile 46 ###### count Percentile 24 ###### median Count 70 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 3 | false | | 2.4–2.8 | 47 | false | | 2.8–3.2 | 224 | false | | 3.2–3.6 | 282 | true | | 3.6–4.0 | 248 | false | ##### departments ```json [ { "subject": "COMPSCI", "comparison": { "size": 20, "gpaPercentile": 68, "countPercentile": 37, "medianCount": 54.5, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 1, "current": false }, { "range": "2.8–3.2", "count": 10, "current": false }, { "range": "3.2–3.6", "count": 8, "current": true }, { "range": "3.6–4.0", "count": 1, "current": false } ] } }, { "subject": "MATH", "comparison": { "size": 27, "gpaPercentile": 96, "countPercentile": 19, "medianCount": 103, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 1, "current": false }, { "range": "2.4–2.8", "count": 9, "current": false }, { "range": "2.8–3.2", "count": 14, "current": false }, { "range": "3.2–3.6", "count": 3, "current": true }, { "range": "3.6–4.0", "count": 0, "current": false } ] } }, { "subject": "STAT", "comparison": { "size": 14, "gpaPercentile": 69, "countPercentile": 23, "medianCount": 78.5, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 1, "current": false }, { "range": "2.8–3.2", "count": 4, "current": false }, { "range": "3.2–3.6", "count": 8, "current": true }, { "range": "3.6–4.0", "count": 1, "current": false } ] } } ] ``` #### 1124 ##### term 1124 ##### gpa 2.616279069767442 ##### count 43 ##### university ###### size 821 ###### gpa Percentile 1 ###### count Percentile 27 ###### median Count 67 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 1 | false | | 2.4–2.8 | 39 | true | | 2.8–3.2 | 223 | false | | 3.2–3.6 | 278 | false | | 3.6–4.0 | 280 | false | ##### departments ```json [ { "subject": "COMPSCI", "comparison": { "size": 22, "gpaPercentile": 5, "countPercentile": 33, "medianCount": 59, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 3, "current": true }, { "range": "2.8–3.2", "count": 10, "current": false }, { "range": "3.2–3.6", "count": 6, "current": false }, { "range": "3.6–4.0", "count": 3, "current": false } ] } }, { "subject": "MATH", "comparison": { "size": 28, "gpaPercentile": 15, "countPercentile": 22, "medianCount": 75, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 11, "current": true }, { "range": "2.8–3.2", "count": 12, "current": false }, { "range": "3.2–3.6", "count": 5, "current": false }, { "range": "3.6–4.0", "count": 0, "current": false } ] } }, { "subject": "STAT", "comparison": { "size": 14, "gpaPercentile": 0, "countPercentile": 23, "medianCount": 73.5, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 2, "current": true }, { "range": "2.8–3.2", "count": 4, "current": false }, { "range": "3.2–3.6", "count": 7, "current": false }, { "range": "3.6–4.0", "count": 1, "current": false } ] } } ] ``` #### 1132 ##### term 1132 ##### gpa 3.1206896551724137 ##### count 29 ##### departments | subject | comparison | | ------- | ---------- | | COMPSCI | | | MATH | | | STAT | | #### 1134 ##### term 1134 ##### gpa 2.9210526315789473 ##### count 38 ##### university ###### size 852 ###### gpa Percentile 9 ###### count Percentile 17 ###### median Count 66 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 2 | false | | 2.4–2.8 | 30 | false | | 2.8–3.2 | 229 | true | | 3.2–3.6 | 304 | false | | 3.6–4.0 | 287 | false | ##### departments ```json [ { "subject": "COMPSCI", "comparison": { "size": 22, "gpaPercentile": 10, "countPercentile": 10, "medianCount": 68, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 1, "current": false }, { "range": "2.8–3.2", "count": 9, "current": true }, { "range": "3.2–3.6", "count": 9, "current": false }, { "range": "3.6–4.0", "count": 3, "current": false } ] } }, { "subject": "MATH", "comparison": { "size": 26, "gpaPercentile": 40, "countPercentile": 12, "medianCount": 83.5, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 1, "current": false }, { "range": "2.4–2.8", "count": 3, "current": false }, { "range": "2.8–3.2", "count": 19, "current": true }, { "range": "3.2–3.6", "count": 3, "current": false }, { "range": "3.6–4.0", "count": 0, "current": false } ] } }, { "subject": "STAT", "comparison": { "size": 15, "gpaPercentile": 14, "countPercentile": 0, "medianCount": 62, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 7, "current": true }, { "range": "3.2–3.6", "count": 8, "current": false }, { "range": "3.6–4.0", "count": 0, "current": false } ] } } ] ``` #### 1142 ##### term 1142 ##### gpa 2.941860465116279 ##### count 43 ##### university ###### size 853 ###### gpa Percentile 10 ###### count Percentile 25 ###### median Count 67 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 4 | false | | 2.4–2.8 | 33 | false | | 2.8–3.2 | 228 | true | | 3.2–3.6 | 320 | false | | 3.6–4.0 | 268 | false | ##### departments ```json [ { "subject": "COMPSCI", "comparison": { "size": 28, "gpaPercentile": 11, "countPercentile": 33, "medianCount": 47.5, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 13, "current": true }, { "range": "3.2–3.6", "count": 11, "current": false }, { "range": "3.6–4.0", "count": 4, "current": false } ] } }, { "subject": "MATH", "comparison": { "size": 31, "gpaPercentile": 43, "countPercentile": 23, "medianCount": 77, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 2, "current": false }, { "range": "2.4–2.8", "count": 8, "current": false }, { "range": "2.8–3.2", "count": 10, "current": true }, { "range": "3.2–3.6", "count": 9, "current": false }, { "range": "3.6–4.0", "count": 2, "current": false } ] } }, { "subject": "STAT", "comparison": { "size": 16, "gpaPercentile": 13, "countPercentile": 40, "medianCount": 44.5, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 2, "current": false }, { "range": "2.8–3.2", "count": 4, "current": true }, { "range": "3.2–3.6", "count": 9, "current": false }, { "range": "3.6–4.0", "count": 1, "current": false } ] } } ] ``` #### 1144 ##### term 1144 ##### gpa 2.8289473684210527 ##### count 38 ##### university ###### size 878 ###### gpa Percentile 4 ###### count Percentile 15 ###### median Count 64 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 4 | false | | 2.4–2.8 | 30 | false | | 2.8–3.2 | 243 | true | | 3.2–3.6 | 302 | false | | 3.6–4.0 | 299 | false | ##### departments ```json [ { "subject": "COMPSCI", "comparison": { "size": 26, "gpaPercentile": 4, "countPercentile": 16, "medianCount": 70.5, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 1, "current": false }, { "range": "2.8–3.2", "count": 11, "current": true }, { "range": "3.2–3.6", "count": 9, "current": false }, { "range": "3.6–4.0", "count": 5, "current": false } ] } }, { "subject": "MATH", "comparison": { "size": 30, "gpaPercentile": 28, "countPercentile": 17, "medianCount": 79, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 2, "current": false }, { "range": "2.4–2.8", "count": 6, "current": false }, { "range": "2.8–3.2", "count": 19, "current": true }, { "range": "3.2–3.6", "count": 1, "current": false }, { "range": "3.6–4.0", "count": 2, "current": false } ] } }, { "subject": "STAT", "comparison": { "size": 14, "gpaPercentile": 8, "countPercentile": 0, "medianCount": 74.5, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 1, "current": false }, { "range": "2.8–3.2", "count": 8, "current": true }, { "range": "3.2–3.6", "count": 5, "current": false }, { "range": "3.6–4.0", "count": 0, "current": false } ] } } ] ``` #### 1152 ##### term 1152 ##### gpa 2.953488372093023 ##### count 43 ##### university ###### size 918 ###### gpa Percentile 10 ###### count Percentile 26 ###### median Count 65 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 1 | false | | 2.4–2.8 | 33 | false | | 2.8–3.2 | 227 | true | | 3.2–3.6 | 371 | false | | 3.6–4.0 | 286 | false | ##### departments ```json [ { "subject": "COMPSCI", "comparison": { "size": 30, "gpaPercentile": 17, "countPercentile": 38, "medianCount": 48.5, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 2, "current": false }, { "range": "2.8–3.2", "count": 9, "current": true }, { "range": "3.2–3.6", "count": 11, "current": false }, { "range": "3.6–4.0", "count": 8, "current": false } ] } }, { "subject": "MATH", "comparison": { "size": 34, "gpaPercentile": 42, "countPercentile": 21, "medianCount": 82, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 1, "current": false }, { "range": "2.4–2.8", "count": 5, "current": false }, { "range": "2.8–3.2", "count": 15, "current": true }, { "range": "3.2–3.6", "count": 9, "current": false }, { "range": "3.6–4.0", "count": 4, "current": false } ] } }, { "subject": "STAT", "comparison": { "size": 20, "gpaPercentile": 21, "countPercentile": 26, "medianCount": 55, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 1, "current": false }, { "range": "2.8–3.2", "count": 7, "current": true }, { "range": "3.2–3.6", "count": 10, "current": false }, { "range": "3.6–4.0", "count": 2, "current": false } ] } } ] ``` #### 1154 ##### term 1154 ##### gpa 2.9864864864864864 ##### count 37 ##### university ###### size 935 ###### gpa Percentile 13 ###### count Percentile 14 ###### median Count 63 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 0 | false | | 2.4–2.8 | 38 | false | | 2.8–3.2 | 237 | true | | 3.2–3.6 | 326 | false | | 3.6–4.0 | 334 | false | ##### departments ```json [ { "subject": "COMPSCI", "comparison": { "size": 31, "gpaPercentile": 17, "countPercentile": 10, "medianCount": 63, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 2, "current": false }, { "range": "2.8–3.2", "count": 9, "current": true }, { "range": "3.2–3.6", "count": 11, "current": false }, { "range": "3.6–4.0", "count": 9, "current": false } ] } }, { "subject": "MATH", "comparison": { "size": 33, "gpaPercentile": 53, "countPercentile": 13, "medianCount": 69, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 10, "current": false }, { "range": "2.8–3.2", "count": 15, "current": true }, { "range": "3.2–3.6", "count": 6, "current": false }, { "range": "3.6–4.0", "count": 2, "current": false } ] } }, { "subject": "STAT", "comparison": { "size": 19, "gpaPercentile": 22, "countPercentile": 6, "medianCount": 57, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 8, "current": true }, { "range": "3.2–3.6", "count": 9, "current": false }, { "range": "3.6–4.0", "count": 2, "current": false } ] } } ] ``` #### 1162 ##### term 1162 ##### gpa 3.0714285714285716 ##### count 35 ##### university ###### size 954 ###### gpa Percentile 17 ###### count Percentile 10 ###### median Count 64.5 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 2 | false | | 2.4–2.8 | 23 | false | | 2.8–3.2 | 234 | true | | 3.2–3.6 | 350 | false | | 3.6–4.0 | 345 | false | ##### departments ```json [ { "subject": "COMPSCI", "comparison": { "size": 35, "gpaPercentile": 29, "countPercentile": 9, "medianCount": 56, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 1, "current": false }, { "range": "2.8–3.2", "count": 14, "current": true }, { "range": "3.2–3.6", "count": 9, "current": false }, { "range": "3.6–4.0", "count": 11, "current": false } ] } }, { "subject": "MATH", "comparison": { "size": 36, "gpaPercentile": 54, "countPercentile": 17, "medianCount": 74.5, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 1, "current": false }, { "range": "2.4–2.8", "count": 3, "current": false }, { "range": "2.8–3.2", "count": 20, "current": true }, { "range": "3.2–3.6", "count": 9, "current": false }, { "range": "3.6–4.0", "count": 3, "current": false } ] } }, { "subject": "STAT", "comparison": { "size": 24, "gpaPercentile": 9, "countPercentile": 17, "medianCount": 50.5, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 5, "current": true }, { "range": "3.2–3.6", "count": 14, "current": false }, { "range": "3.6–4.0", "count": 5, "current": false } ] } } ] ``` #### 1164 ##### term 1164 ##### gpa 3.3529411764705883 ##### count 51 ##### university ###### size 965 ###### gpa Percentile 38 ###### count Percentile 36 ###### median Count 68 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 3 | false | | 2.4–2.8 | 37 | false | | 2.8–3.2 | 216 | false | | 3.2–3.6 | 319 | true | | 3.6–4.0 | 390 | false | ##### departments ```json [ { "subject": "COMPSCI", "comparison": { "size": 32, "gpaPercentile": 48, "countPercentile": 26, "medianCount": 84, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 1, "current": false }, { "range": "2.4–2.8", "count": 3, "current": false }, { "range": "2.8–3.2", "count": 9, "current": false }, { "range": "3.2–3.6", "count": 12, "current": true }, { "range": "3.6–4.0", "count": 7, "current": false } ] } }, { "subject": "MATH", "comparison": { "size": 32, "gpaPercentile": 87, "countPercentile": 26, "medianCount": 83, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 2, "current": false }, { "range": "2.4–2.8", "count": 10, "current": false }, { "range": "2.8–3.2", "count": 12, "current": false }, { "range": "3.2–3.6", "count": 5, "current": true }, { "range": "3.6–4.0", "count": 3, "current": false } ] } }, { "subject": "STAT", "comparison": { "size": 21, "gpaPercentile": 60, "countPercentile": 35, "medianCount": 69, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 2, "current": false }, { "range": "2.8–3.2", "count": 6, "current": false }, { "range": "3.2–3.6", "count": 9, "current": true }, { "range": "3.6–4.0", "count": 4, "current": false } ] } } ] ``` #### 1172 ##### term 1172 ##### gpa 3.25 ##### count 52 ##### university ###### size 991 ###### gpa Percentile 29 ###### count Percentile 36 ###### median Count 67 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 0 | false | | 2.4–2.8 | 22 | false | | 2.8–3.2 | 226 | false | | 3.2–3.6 | 353 | true | | 3.6–4.0 | 390 | false | ##### departments ```json [ { "subject": "COMPSCI", "comparison": { "size": 31, "gpaPercentile": 60, "countPercentile": 23, "medianCount": 74, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 16, "current": false }, { "range": "3.2–3.6", "count": 6, "current": true }, { "range": "3.6–4.0", "count": 9, "current": false } ] } }, { "subject": "MATH", "comparison": { "size": 36, "gpaPercentile": 74, "countPercentile": 31, "medianCount": 66, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 4, "current": false }, { "range": "2.8–3.2", "count": 21, "current": false }, { "range": "3.2–3.6", "count": 8, "current": true }, { "range": "3.6–4.0", "count": 3, "current": false } ] } }, { "subject": "STAT", "comparison": { "size": 25, "gpaPercentile": 38, "countPercentile": 46, "medianCount": 56, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 1, "current": false }, { "range": "2.8–3.2", "count": 8, "current": false }, { "range": "3.2–3.6", "count": 13, "current": true }, { "range": "3.6–4.0", "count": 3, "current": false } ] } } ] ``` #### 1174 ##### term 1174 ##### gpa 2.8688524590163933 ##### count 61 ##### university ###### size 955 ###### gpa Percentile 5 ###### count Percentile 43 ###### median Count 69 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 1 | false | | 2.4–2.8 | 29 | false | | 2.8–3.2 | 224 | true | | 3.2–3.6 | 332 | false | | 3.6–4.0 | 369 | false | ##### departments ```json [ { "subject": "COMPSCI", "comparison": { "size": 30, "gpaPercentile": 7, "countPercentile": 21, "medianCount": 108, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 1, "current": false }, { "range": "2.8–3.2", "count": 13, "current": true }, { "range": "3.2–3.6", "count": 7, "current": false }, { "range": "3.6–4.0", "count": 9, "current": false } ] } }, { "subject": "MATH", "comparison": { "size": 32, "gpaPercentile": 42, "countPercentile": 35, "medianCount": 89, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 9, "current": false }, { "range": "2.8–3.2", "count": 15, "current": true }, { "range": "3.2–3.6", "count": 5, "current": false }, { "range": "3.6–4.0", "count": 3, "current": false } ] } }, { "subject": "STAT", "comparison": { "size": 22, "gpaPercentile": 5, "countPercentile": 38, "medianCount": 71.5, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 8, "current": true }, { "range": "3.2–3.6", "count": 9, "current": false }, { "range": "3.6–4.0", "count": 5, "current": false } ] } } ] ``` #### 1182 ##### term 1182 ##### gpa 3.0823529411764707 ##### count 85 ##### university ###### size 1025 ###### gpa Percentile 17 ###### count Percentile 59 ###### median Count 69 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 1 | false | | 2.4–2.8 | 21 | false | | 2.8–3.2 | 216 | true | | 3.2–3.6 | 369 | false | | 3.6–4.0 | 418 | false | ##### departments ```json [ { "subject": "COMPSCI", "comparison": { "size": 36, "gpaPercentile": 34, "countPercentile": 46, "medianCount": 90.5, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 1, "current": false }, { "range": "2.8–3.2", "count": 13, "current": true }, { "range": "3.2–3.6", "count": 11, "current": false }, { "range": "3.6–4.0", "count": 11, "current": false } ] } }, { "subject": "MATH", "comparison": { "size": 36, "gpaPercentile": 66, "countPercentile": 51, "medianCount": 80, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 5, "current": false }, { "range": "2.8–3.2", "count": 21, "current": true }, { "range": "3.2–3.6", "count": 7, "current": false }, { "range": "3.6–4.0", "count": 3, "current": false } ] } }, { "subject": "STAT", "comparison": { "size": 24, "gpaPercentile": 13, "countPercentile": 70, "medianCount": 65.5, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 7, "current": true }, { "range": "3.2–3.6", "count": 10, "current": false }, { "range": "3.6–4.0", "count": 7, "current": false } ] } } ] ``` #### 1184 ##### term 1184 ##### gpa 2.841463414634146 ##### count 82 ##### university ###### size 1010 ###### gpa Percentile 4 ###### count Percentile 58 ###### median Count 68 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 1 | false | | 2.4–2.8 | 26 | false | | 2.8–3.2 | 210 | true | | 3.2–3.6 | 355 | false | | 3.6–4.0 | 418 | false | ##### departments ```json [ { "subject": "COMPSCI", "comparison": { "size": 31, "gpaPercentile": 3, "countPercentile": 23, "medianCount": 126, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 15, "current": true }, { "range": "3.2–3.6", "count": 8, "current": false }, { "range": "3.6–4.0", "count": 8, "current": false } ] } }, { "subject": "MATH", "comparison": { "size": 36, "gpaPercentile": 26, "countPercentile": 49, "medianCount": 83.5, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 1, "current": false }, { "range": "2.4–2.8", "count": 7, "current": false }, { "range": "2.8–3.2", "count": 18, "current": true }, { "range": "3.2–3.6", "count": 7, "current": false }, { "range": "3.6–4.0", "count": 3, "current": false } ] } }, { "subject": "STAT", "comparison": { "size": 25, "gpaPercentile": 0, "countPercentile": 67, "medianCount": 70, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 6, "current": true }, { "range": "3.2–3.6", "count": 11, "current": false }, { "range": "3.6–4.0", "count": 8, "current": false } ] } } ] ``` #### 1192 ##### term 1192 ##### gpa 3.031496062992126 ##### count 127 ##### university ###### size 1077 ###### gpa Percentile 11 ###### count Percentile 76 ###### median Count 67 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 1 | false | | 2.4–2.8 | 22 | false | | 2.8–3.2 | 203 | true | | 3.2–3.6 | 370 | false | | 3.6–4.0 | 481 | false | ##### departments ```json [ { "subject": "COMPSCI", "comparison": { "size": 38, "gpaPercentile": 24, "countPercentile": 65, "medianCount": 95.5, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 1, "current": false }, { "range": "2.8–3.2", "count": 15, "current": true }, { "range": "3.2–3.6", "count": 10, "current": false }, { "range": "3.6–4.0", "count": 12, "current": false } ] } }, { "subject": "MATH", "comparison": { "size": 39, "gpaPercentile": 47, "countPercentile": 66, "medianCount": 99, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 4, "current": false }, { "range": "2.8–3.2", "count": 24, "current": true }, { "range": "3.2–3.6", "count": 8, "current": false }, { "range": "3.6–4.0", "count": 3, "current": false } ] } }, { "subject": "STAT", "comparison": { "size": 27, "gpaPercentile": 12, "countPercentile": 77, "medianCount": 74, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 1, "current": false }, { "range": "2.8–3.2", "count": 6, "current": true }, { "range": "3.2–3.6", "count": 17, "current": false }, { "range": "3.6–4.0", "count": 3, "current": false } ] } } ] ``` #### 1194 ##### term 1194 ##### gpa 2.912280701754386 ##### count 114 ##### university ###### size 1040 ###### gpa Percentile 6 ###### count Percentile 74 ###### median Count 67 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 1 | false | | 2.4–2.8 | 23 | false | | 2.8–3.2 | 220 | true | | 3.2–3.6 | 342 | false | | 3.6–4.0 | 454 | false | ##### departments ```json [ { "subject": "COMPSCI", "comparison": { "size": 38, "gpaPercentile": 8, "countPercentile": 59, "medianCount": 92, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 1, "current": false }, { "range": "2.8–3.2", "count": 15, "current": true }, { "range": "3.2–3.6", "count": 11, "current": false }, { "range": "3.6–4.0", "count": 11, "current": false } ] } }, { "subject": "MATH", "comparison": { "size": 38, "gpaPercentile": 32, "countPercentile": 62, "medianCount": 71.5, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 1, "current": false }, { "range": "2.4–2.8", "count": 6, "current": false }, { "range": "2.8–3.2", "count": 18, "current": true }, { "range": "3.2–3.6", "count": 6, "current": false }, { "range": "3.6–4.0", "count": 7, "current": false } ] } }, { "subject": "STAT", "comparison": { "size": 23, "gpaPercentile": 5, "countPercentile": 64, "medianCount": 79, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 1, "current": false }, { "range": "2.8–3.2", "count": 6, "current": true }, { "range": "3.2–3.6", "count": 9, "current": false }, { "range": "3.6–4.0", "count": 7, "current": false } ] } } ] ``` #### 1202 ##### term 1202 ##### gpa 3.0695652173913044 ##### count 115 ##### university ###### size 1102 ###### gpa Percentile 12 ###### count Percentile 72 ###### median Count 68 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 1 | false | | 2.4–2.8 | 14 | false | | 2.8–3.2 | 218 | true | | 3.2–3.6 | 371 | false | | 3.6–4.0 | 498 | false | ##### departments ```json [ { "subject": "COMPSCI", "comparison": { "size": 41, "gpaPercentile": 25, "countPercentile": 58, "medianCount": 91, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 1, "current": false }, { "range": "2.4–2.8", "count": 1, "current": false }, { "range": "2.8–3.2", "count": 13, "current": true }, { "range": "3.2–3.6", "count": 15, "current": false }, { "range": "3.6–4.0", "count": 11, "current": false } ] } }, { "subject": "MATH", "comparison": { "size": 40, "gpaPercentile": 51, "countPercentile": 54, "medianCount": 90.5, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 4, "current": false }, { "range": "2.8–3.2", "count": 24, "current": true }, { "range": "3.2–3.6", "count": 7, "current": false }, { "range": "3.6–4.0", "count": 5, "current": false } ] } }, { "subject": "STAT", "comparison": { "size": 30, "gpaPercentile": 28, "countPercentile": 62, "medianCount": 80.5, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 10, "current": true }, { "range": "3.2–3.6", "count": 11, "current": false }, { "range": "3.6–4.0", "count": 9, "current": false } ] } } ] ``` #### 1204 ##### term 1204 ##### gpa 3.325301204819277 ##### count 83 ##### university ###### size 1012 ###### gpa Percentile 8 ###### count Percentile 61 ###### median Count 65.5 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 0 | false | | 2.4–2.8 | 1 | false | | 2.8–3.2 | 25 | false | | 3.2–3.6 | 301 | true | | 3.6–4.0 | 685 | false | ##### departments ```json [ { "subject": "COMPSCI", "comparison": { "size": 42, "gpaPercentile": 15, "countPercentile": 46, "medianCount": 90.5, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 1, "current": false }, { "range": "3.2–3.6", "count": 19, "current": true }, { "range": "3.6–4.0", "count": 22, "current": false } ] } }, { "subject": "MATH", "comparison": { "size": 29, "gpaPercentile": 21, "countPercentile": 50, "medianCount": 83, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 3, "current": false }, { "range": "3.2–3.6", "count": 20, "current": true }, { "range": "3.6–4.0", "count": 6, "current": false } ] } }, { "subject": "STAT", "comparison": { "size": 27, "gpaPercentile": 4, "countPercentile": 77, "medianCount": 56, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 0, "current": false }, { "range": "3.2–3.6", "count": 11, "current": true }, { "range": "3.6–4.0", "count": 16, "current": false } ] } } ] ``` #### 1212 ##### term 1212 ##### gpa 3.237037037037037 ##### count 135 ##### university ###### size 1111 ###### gpa Percentile 17 ###### count Percentile 76 ###### median Count 68 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 0 | false | | 2.4–2.8 | 4 | false | | 2.8–3.2 | 159 | false | | 3.2–3.6 | 337 | true | | 3.6–4.0 | 611 | false | ##### departments ```json [ { "subject": "COMPSCI", "comparison": { "size": 42, "gpaPercentile": 29, "countPercentile": 59, "medianCount": 96, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 12, "current": false }, { "range": "3.2–3.6", "count": 16, "current": true }, { "range": "3.6–4.0", "count": 14, "current": false } ] } }, { "subject": "MATH", "comparison": { "size": 41, "gpaPercentile": 50, "countPercentile": 65, "medianCount": 87, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 2, "current": false }, { "range": "2.8–3.2", "count": 18, "current": false }, { "range": "3.2–3.6", "count": 12, "current": true }, { "range": "3.6–4.0", "count": 9, "current": false } ] } }, { "subject": "STAT", "comparison": { "size": 25, "gpaPercentile": 29, "countPercentile": 75, "medianCount": 100, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 7, "current": false }, { "range": "3.2–3.6", "count": 10, "current": true }, { "range": "3.6–4.0", "count": 8, "current": false } ] } } ] ``` #### 1222 ##### term 1222 ##### gpa 3.107594936708861 ##### count 79 ##### university ###### size 1157 ###### gpa Percentile 11 ###### count Percentile 56 ###### median Count 64 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 1 | false | | 2.4–2.8 | 17 | false | | 2.8–3.2 | 174 | true | | 3.2–3.6 | 351 | false | | 3.6–4.0 | 614 | false | ##### departments ```json [ { "subject": "COMPSCI", "comparison": { "size": 46, "gpaPercentile": 13, "countPercentile": 40, "medianCount": 94.5, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 1, "current": false }, { "range": "2.8–3.2", "count": 8, "current": true }, { "range": "3.2–3.6", "count": 23, "current": false }, { "range": "3.6–4.0", "count": 14, "current": false } ] } }, { "subject": "MATH", "comparison": { "size": 39, "gpaPercentile": 37, "countPercentile": 53, "medianCount": 63, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 1, "current": false }, { "range": "2.4–2.8", "count": 5, "current": false }, { "range": "2.8–3.2", "count": 13, "current": true }, { "range": "3.2–3.6", "count": 12, "current": false }, { "range": "3.6–4.0", "count": 8, "current": false } ] } }, { "subject": "STAT", "comparison": { "size": 32, "gpaPercentile": 13, "countPercentile": 65, "medianCount": 55.5, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 9, "current": true }, { "range": "3.2–3.6", "count": 10, "current": false }, { "range": "3.6–4.0", "count": 13, "current": false } ] } } ] ``` #### 1224 ##### term 1224 ##### gpa 3.0864661654135337 ##### count 133 ##### university ###### size 1171 ###### gpa Percentile 11 ###### count Percentile 80 ###### median Count 64 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 3 | false | | 2.4–2.8 | 21 | false | | 2.8–3.2 | 173 | true | | 3.2–3.6 | 358 | false | | 3.6–4.0 | 616 | false | ##### departments ```json [ { "subject": "COMPSCI", "comparison": { "size": 45, "gpaPercentile": 11, "countPercentile": 61, "medianCount": 96, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 11, "current": true }, { "range": "3.2–3.6", "count": 17, "current": false }, { "range": "3.6–4.0", "count": 17, "current": false } ] } }, { "subject": "MATH", "comparison": { "size": 34, "gpaPercentile": 45, "countPercentile": 73, "medianCount": 87.5, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 2, "current": false }, { "range": "2.4–2.8", "count": 4, "current": false }, { "range": "2.8–3.2", "count": 12, "current": true }, { "range": "3.2–3.6", "count": 12, "current": false }, { "range": "3.6–4.0", "count": 4, "current": false } ] } }, { "subject": "STAT", "comparison": { "size": 27, "gpaPercentile": 19, "countPercentile": 73, "medianCount": 74, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 6, "current": true }, { "range": "3.2–3.6", "count": 10, "current": false }, { "range": "3.6–4.0", "count": 11, "current": false } ] } } ] ``` #### 1232 ##### term 1232 ##### gpa 3.0606060606060606 ##### count 132 ##### university ###### size 1216 ###### gpa Percentile 8 ###### count Percentile 76 ###### median Count 66 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 2 | false | | 2.4–2.8 | 14 | false | | 2.8–3.2 | 174 | true | | 3.2–3.6 | 356 | false | | 3.6–4.0 | 670 | false | ##### departments ```json [ { "subject": "COMPSCI", "comparison": { "size": 50, "gpaPercentile": 6, "countPercentile": 67, "medianCount": 82.5, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 9, "current": true }, { "range": "3.2–3.6", "count": 19, "current": false }, { "range": "3.6–4.0", "count": 22, "current": false } ] } }, { "subject": "MATH", "comparison": { "size": 43, "gpaPercentile": 31, "countPercentile": 69, "medianCount": 69, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 1, "current": false }, { "range": "2.4–2.8", "count": 4, "current": false }, { "range": "2.8–3.2", "count": 17, "current": true }, { "range": "3.2–3.6", "count": 14, "current": false }, { "range": "3.6–4.0", "count": 7, "current": false } ] } }, { "subject": "STAT", "comparison": { "size": 32, "gpaPercentile": 10, "countPercentile": 81, "medianCount": 60.5, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 11, "current": true }, { "range": "3.2–3.6", "count": 13, "current": false }, { "range": "3.6–4.0", "count": 8, "current": false } ] } } ] ``` #### 1234 ##### term 1234 ##### gpa 2.91025641025641 ##### count 117 ##### university ###### size 1188 ###### gpa Percentile 3 ###### count Percentile 74 ###### median Count 65 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 3 | false | | 2.4–2.8 | 17 | false | | 2.8–3.2 | 144 | true | | 3.2–3.6 | 374 | false | | 3.6–4.0 | 650 | false | ##### departments ```json [ { "subject": "COMPSCI", "comparison": { "size": 46, "gpaPercentile": 0, "countPercentile": 53, "medianCount": 111, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 8, "current": true }, { "range": "3.2–3.6", "count": 26, "current": false }, { "range": "3.6–4.0", "count": 12, "current": false } ] } }, { "subject": "MATH", "comparison": { "size": 41, "gpaPercentile": 25, "countPercentile": 73, "medianCount": 67, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 2, "current": false }, { "range": "2.4–2.8", "count": 5, "current": false }, { "range": "2.8–3.2", "count": 13, "current": true }, { "range": "3.2–3.6", "count": 14, "current": false }, { "range": "3.6–4.0", "count": 7, "current": false } ] } }, { "subject": "STAT", "comparison": { "size": 25, "gpaPercentile": 4, "countPercentile": 67, "medianCount": 67, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 1, "current": false }, { "range": "2.8–3.2", "count": 5, "current": true }, { "range": "3.2–3.6", "count": 12, "current": false }, { "range": "3.6–4.0", "count": 7, "current": false } ] } } ] ``` #### 1242 ##### term 1242 ##### gpa 3.1979166666666665 ##### count 96 ##### university ###### size 1295 ###### gpa Percentile 13 ###### count Percentile 66 ###### median Count 67 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 2 | false | | 2.4–2.8 | 11 | false | | 2.8–3.2 | 162 | true | | 3.2–3.6 | 394 | false | | 3.6–4.0 | 726 | false | ##### departments ```json [ { "subject": "COMPSCI", "comparison": { "size": 52, "gpaPercentile": 18, "countPercentile": 49, "medianCount": 99, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 1, "current": false }, { "range": "2.8–3.2", "count": 9, "current": true }, { "range": "3.2–3.6", "count": 20, "current": false }, { "range": "3.6–4.0", "count": 22, "current": false } ] } }, { "subject": "MATH", "comparison": { "size": 43, "gpaPercentile": 50, "countPercentile": 55, "medianCount": 80, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 1, "current": false }, { "range": "2.4–2.8", "count": 4, "current": false }, { "range": "2.8–3.2", "count": 17, "current": true }, { "range": "3.2–3.6", "count": 13, "current": false }, { "range": "3.6–4.0", "count": 8, "current": false } ] } }, { "subject": "STAT", "comparison": { "size": 34, "gpaPercentile": 21, "countPercentile": 67, "medianCount": 55, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 1, "current": false }, { "range": "2.8–3.2", "count": 7, "current": true }, { "range": "3.2–3.6", "count": 13, "current": false }, { "range": "3.6–4.0", "count": 13, "current": false } ] } } ] ``` #### 1244 ##### term 1244 ##### gpa 3.128099173553719 ##### count 121 ##### university ###### size 1241 ###### gpa Percentile 9 ###### count Percentile 77 ###### median Count 65 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 2 | false | | 2.4–2.8 | 9 | false | | 2.8–3.2 | 151 | true | | 3.2–3.6 | 373 | false | | 3.6–4.0 | 706 | false | ##### departments ```json [ { "subject": "COMPSCI", "comparison": { "size": 46, "gpaPercentile": 16, "countPercentile": 51, "medianCount": 116, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 11, "current": true }, { "range": "3.2–3.6", "count": 17, "current": false }, { "range": "3.6–4.0", "count": 18, "current": false } ] } }, { "subject": "MATH", "comparison": { "size": 43, "gpaPercentile": 43, "countPercentile": 74, "medianCount": 68, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 2, "current": false }, { "range": "2.4–2.8", "count": 2, "current": false }, { "range": "2.8–3.2", "count": 20, "current": true }, { "range": "3.2–3.6", "count": 11, "current": false }, { "range": "3.6–4.0", "count": 8, "current": false } ] } }, { "subject": "STAT", "comparison": { "size": 29, "gpaPercentile": 21, "countPercentile": 79, "medianCount": 62, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 8, "current": true }, { "range": "3.2–3.6", "count": 13, "current": false }, { "range": "3.6–4.0", "count": 8, "current": false } ] } } ] ``` #### 1252 ##### term 1252 ##### gpa 3.1792452830188678 ##### count 106 ##### university ###### size 1333 ###### gpa Percentile 9 ###### count Percentile 69 ###### median Count 69 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 0 | false | | 2.4–2.8 | 14 | false | | 2.8–3.2 | 115 | true | | 3.2–3.6 | 431 | false | | 3.6–4.0 | 773 | false | ##### departments ```json [ { "subject": "COMPSCI", "comparison": { "size": 54, "gpaPercentile": 15, "countPercentile": 53, "medianCount": 101, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 1, "current": false }, { "range": "2.8–3.2", "count": 8, "current": true }, { "range": "3.2–3.6", "count": 23, "current": false }, { "range": "3.6–4.0", "count": 22, "current": false } ] } }, { "subject": "MATH", "comparison": { "size": 43, "gpaPercentile": 55, "countPercentile": 64, "medianCount": 74, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 5, "current": false }, { "range": "2.8–3.2", "count": 20, "current": true }, { "range": "3.2–3.6", "count": 16, "current": false }, { "range": "3.6–4.0", "count": 2, "current": false } ] } }, { "subject": "STAT", "comparison": { "size": 32, "gpaPercentile": 26, "countPercentile": 65, "medianCount": 70.5, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 9, "current": true }, { "range": "3.2–3.6", "count": 14, "current": false }, { "range": "3.6–4.0", "count": 9, "current": false } ] } } ] ``` #### 1254 ##### term 1254 ##### gpa 3.3877551020408165 ##### count 98 ##### university ###### size 1289 ###### gpa Percentile 23 ###### count Percentile 70 ###### median Count 66 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 0 | false | | 2.4–2.8 | 17 | false | | 2.8–3.2 | 128 | false | | 3.2–3.6 | 379 | true | | 3.6–4.0 | 765 | false | ##### departments ```json [ { "subject": "COMPSCI", "comparison": { "size": 52, "gpaPercentile": 35, "countPercentile": 45, "medianCount": 105, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 1, "current": false }, { "range": "2.8–3.2", "count": 10, "current": false }, { "range": "3.2–3.6", "count": 24, "current": true }, { "range": "3.6–4.0", "count": 17, "current": false } ] } }, { "subject": "MATH", "comparison": { "size": 39, "gpaPercentile": 74, "countPercentile": 61, "medianCount": 89, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 6, "current": false }, { "range": "2.8–3.2", "count": 16, "current": false }, { "range": "3.2–3.6", "count": 13, "current": true }, { "range": "3.6–4.0", "count": 4, "current": false } ] } }, { "subject": "STAT", "comparison": { "size": 28, "gpaPercentile": 37, "countPercentile": 70, "medianCount": 70, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 6, "current": false }, { "range": "3.2–3.6", "count": 11, "current": true }, { "range": "3.6–4.0", "count": 11, "current": false } ] } } ] ``` #### 1262 ##### term 1262 ##### gpa 3.1493506493506493 ##### count 77 ##### university ###### size 1320 ###### gpa Percentile 8 ###### count Percentile 53 ###### median Count 70 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 1 | false | | 2.4–2.8 | 8 | false | | 2.8–3.2 | 133 | true | | 3.2–3.6 | 381 | false | | 3.6–4.0 | 797 | false | ##### departments ```json [ { "subject": "COMPSCI", "comparison": { "size": 53, "gpaPercentile": 15, "countPercentile": 40, "medianCount": 82, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 10, "current": true }, { "range": "3.2–3.6", "count": 22, "current": false }, { "range": "3.6–4.0", "count": 21, "current": false } ] } }, { "subject": "MATH", "comparison": { "size": 43, "gpaPercentile": 43, "countPercentile": 48, "medianCount": 81, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 3, "current": false }, { "range": "2.8–3.2", "count": 18, "current": true }, { "range": "3.2–3.6", "count": 16, "current": false }, { "range": "3.6–4.0", "count": 6, "current": false } ] } }, { "subject": "STAT", "comparison": { "size": 29, "gpaPercentile": 18, "countPercentile": 43, "medianCount": 81, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 9, "current": true }, { "range": "3.2–3.6", "count": 12, "current": false }, { "range": "3.6–4.0", "count": 8, "current": false } ] } } ] ``` #### 1264 ##### term 1264 ##### gpa 3.3492063492063493 ##### count 63 ##### university ###### size 1283 ###### gpa Percentile 19 ###### count Percentile 46 ###### median Count 66 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 1 | false | | 2.4–2.8 | 20 | false | | 2.8–3.2 | 130 | false | | 3.2–3.6 | 343 | true | | 3.6–4.0 | 789 | false | ##### departments ```json [ { "subject": "COMPSCI", "comparison": { "size": 48, "gpaPercentile": 30, "countPercentile": 26, "medianCount": 105.5, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 1, "current": false }, { "range": "2.8–3.2", "count": 7, "current": false }, { "range": "3.2–3.6", "count": 21, "current": true }, { "range": "3.6–4.0", "count": 19, "current": false } ] } }, { "subject": "MATH", "comparison": { "size": 42, "gpaPercentile": 71, "countPercentile": 37, "medianCount": 80, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 1, "current": false }, { "range": "2.4–2.8", "count": 7, "current": false }, { "range": "2.8–3.2", "count": 17, "current": false }, { "range": "3.2–3.6", "count": 11, "current": true }, { "range": "3.6–4.0", "count": 6, "current": false } ] } }, { "subject": "STAT", "comparison": { "size": 26, "gpaPercentile": 48, "countPercentile": 40, "medianCount": 66, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 10, "current": false }, { "range": "3.2–3.6", "count": 9, "current": true }, { "range": "3.6–4.0", "count": 7, "current": false } ] } } ] ``` ### benchmarks #### all ##### school ###### size 5784 ###### gpa 3.6736255573368366 ###### top Share 82.68719706118685 ###### count 240.5 ##### COMPSCI ###### size 111 ###### gpa 3.58591505945222 ###### top Share 78.46836733663805 ###### count 595 ##### MATH ###### size 136 ###### gpa 3.5494544646749766 ###### top Share 75.15568951719919 ###### count 272.5 ##### STAT ###### size 78 ###### gpa 3.586329638963467 ###### top Share 77.84412721691945 ###### count 420 #### terms ##### 1072 ###### school ###### size 723 ###### gpa 3.344595727439471 ###### top Share 62.012941427864526 ###### count 67 ###### COMPSCI ###### size 13 ###### gpa 2.984228192055664 ###### top Share 46.24763313433178 ###### count 60 ###### MATH ###### size 21 ###### gpa 2.878188611674867 ###### top Share 40.4748751710427 ###### count 115 ##### 1074 ###### school ###### size 695 ###### gpa 3.3616924722887376 ###### top Share 63.22509110105764 ###### count 69 ###### COMPSCI ###### size 13 ###### gpa 3.0855368848689455 ###### top Share 48.7445028912265 ###### count 55 ###### MATH ###### size 17 ###### gpa 2.821339129045922 ###### top Share 38.66654769268061 ###### count 133 ##### 1082 ###### school ###### size 723 ###### gpa 3.3583896732335172 ###### top Share 62.932746798940194 ###### count 68 ###### COMPSCI ###### size 15 ###### gpa 3.146224995259422 ###### top Share 51.28801425895212 ###### count 49 ###### MATH ###### size 20 ###### gpa 2.8603540012311925 ###### top Share 39.28661748894661 ###### count 122 ###### STAT ###### size 10 ###### gpa 3.181469252605204 ###### top Share 50.79697144214053 ###### count 66.5 ##### 1084 ###### school ###### size 720 ###### gpa 3.3670742938849725 ###### top Share 63.42064564712246 ###### count 70 ###### COMPSCI ###### size 14 ###### gpa 3.144553029581605 ###### top Share 50.3940565180559 ###### count 59 ###### MATH ###### size 22 ###### gpa 2.977459424628873 ###### top Share 44.52710820759676 ###### count 88.5 ###### STAT ###### size 11 ###### gpa 3.1916703213972117 ###### top Share 53.20854008345764 ###### count 60 ##### 1092 ###### school ###### size 732 ###### gpa 3.374660709520374 ###### top Share 63.690339324346596 ###### count 70 ###### COMPSCI ###### size 16 ###### gpa 3.14888347660136 ###### top Share 52.49548911325188 ###### count 66.5 ###### MATH ###### size 22 ###### gpa 2.8820162698417926 ###### top Share 39.71597770466243 ###### count 131 ###### STAT ###### size 11 ###### gpa 3.2851296989222463 ###### top Share 61.121424545066226 ###### count 65 ##### 1094 ###### school ###### size 758 ###### gpa 3.3891454428111527 ###### top Share 64.36369814389255 ###### count 71 ###### COMPSCI ###### size 16 ###### gpa 3.1364214252215854 ###### top Share 48.56845161086566 ###### count 72 ###### MATH ###### size 19 ###### gpa 2.861322177541941 ###### top Share 40.26350030907326 ###### count 108 ###### STAT ###### size 13 ###### gpa 3.2192958075537375 ###### top Share 55.66253049989985 ###### count 67 ##### 1102 ###### school ###### size 774 ###### gpa 3.36712622366007 ###### top Share 63.703228532165696 ###### count 67 ###### COMPSCI ###### size 19 ###### gpa 3.1851402069816737 ###### top Share 53.3667497934056 ###### count 61 ###### MATH ###### size 27 ###### gpa 2.936619140855453 ###### top Share 42.28372460948232 ###### count 76 ###### STAT ###### size 15 ###### gpa 3.2431139797798068 ###### top Share 54.806129569025835 ###### count 72 ##### 1104 ###### school ###### size 793 ###### gpa 3.384661458923085 ###### top Share 64.6614752434143 ###### count 66 ###### COMPSCI ###### size 22 ###### gpa 3.200534462173063 ###### top Share 56.78409435721555 ###### count 51.5 ###### MATH ###### size 23 ###### gpa 2.9531575824731964 ###### top Share 43.549837152646596 ###### count 98 ###### STAT ###### size 11 ###### gpa 3.2176332921053334 ###### top Share 53.16837069213127 ###### count 89 ##### 1112 ###### school ###### size 805 ###### gpa 3.3737773184830386 ###### top Share 63.91039244872789 ###### count 66 ###### COMPSCI ###### size 27 ###### gpa 3.2907039795974518 ###### top Share 61.485726181424475 ###### count 41 ###### MATH ###### size 26 ###### gpa 2.9941347625171355 ###### top Share 43.79682105650899 ###### count 87 ###### STAT ###### size 14 ###### gpa 3.242406375705586 ###### top Share 57.34276482904032 ###### count 68.5 ##### 1114 ###### school ###### size 804 ###### gpa 3.3696004653806844 ###### top Share 64.0389334741844 ###### count 68 ###### COMPSCI ###### size 18 ###### gpa 3.266230341473234 ###### top Share 59.94733477037724 ###### count 58 ###### MATH ###### size 26 ###### gpa 2.9090822348911582 ###### top Share 41.14706210117883 ###### count 83.5 ###### STAT ###### size 14 ###### gpa 3.1808388037128617 ###### top Share 54.20460480857422 ###### count 76 ##### 1122 ###### school ###### size 804 ###### gpa 3.3737149752667013 ###### top Share 63.65118790117902 ###### count 70 ###### COMPSCI ###### size 20 ###### gpa 3.20674670802027 ###### top Share 56.51588103392879 ###### count 54.5 ###### MATH ###### size 27 ###### gpa 2.898067749128924 ###### top Share 42.09489165698714 ###### count 103 ###### STAT ###### size 14 ###### gpa 3.247214504889537 ###### top Share 58.600170104917346 ###### count 78.5 ##### 1124 ###### school ###### size 821 ###### gpa 3.406589342026613 ###### top Share 66.35774230127205 ###### count 67 ###### COMPSCI ###### size 22 ###### gpa 3.1674244675767893 ###### top Share 54.635052791099376 ###### count 59 ###### MATH ###### size 28 ###### gpa 2.9109864595893504 ###### top Share 42.40580272314707 ###### count 75 ###### STAT ###### size 14 ###### gpa 3.2125467513502213 ###### top Share 52.75719815805796 ###### count 73.5 ##### 1132 ###### school ###### size 851 ###### gpa 3.391128778809763 ###### top Share 64.69509437122704 ###### count 66 ###### COMPSCI ###### size 23 ###### gpa 3.2325357852525465 ###### top Share 57.33650851473996 ###### count 56 ###### MATH ###### size 25 ###### gpa 2.9605395515107897 ###### top Share 42.794601137643824 ###### count 108 ###### STAT ###### size 16 ###### gpa 3.261044965144187 ###### top Share 59.360682472524054 ###### count 72 ##### 1134 ###### school ###### size 852 ###### gpa 3.4138934207568203 ###### top Share 66.35946578182744 ###### count 66 ###### COMPSCI ###### size 22 ###### gpa 3.2424086213492718 ###### top Share 59.28222765244668 ###### count 68 ###### MATH ###### size 26 ###### gpa 2.938004331770204 ###### top Share 42.318323348030226 ###### count 83.5 ###### STAT ###### size 15 ###### gpa 3.189466060305169 ###### top Share 53.9092333240668 ###### count 62 ##### 1142 ###### school ###### size 853 ###### gpa 3.3941849959684913 ###### top Share 65.28450334228523 ###### count 67 ###### COMPSCI ###### size 28 ###### gpa 3.279575360328891 ###### top Share 60.13197427273153 ###### count 47.5 ###### MATH ###### size 31 ###### gpa 3.009040780059457 ###### top Share 45.87481076818359 ###### count 77 ###### STAT ###### size 16 ###### gpa 3.240435267681857 ###### top Share 58.10171174479488 ###### count 44.5 ##### 1144 ###### school ###### size 878 ###### gpa 3.4092443327803017 ###### top Share 65.95978235963416 ###### count 64 ###### COMPSCI ###### size 26 ###### gpa 3.263233863996996 ###### top Share 58.711877593449 ###### count 70.5 ###### MATH ###### size 30 ###### gpa 2.926152797086596 ###### top Share 42.17363619414386 ###### count 79 ###### STAT ###### size 14 ###### gpa 3.0970281238579784 ###### top Share 51.741770775379614 ###### count 74.5 ##### 1152 ###### school ###### size 918 ###### gpa 3.408733538594633 ###### top Share 66.06693005846735 ###### count 65 ###### COMPSCI ###### size 30 ###### gpa 3.3169698368361287 ###### top Share 64.20051564737066 ###### count 48.5 ###### MATH ###### size 34 ###### gpa 3.0803080141506425 ###### top Share 49.72677618758506 ###### count 82 ###### STAT ###### size 20 ###### gpa 3.247281119355238 ###### top Share 58.400370581589016 ###### count 55 ##### 1154 ###### school ###### size 935 ###### gpa 3.4282378385810093 ###### top Share 67.66674668721691 ###### count 63 ###### COMPSCI ###### size 31 ###### gpa 3.3515611477246905 ###### top Share 66.93977839039297 ###### count 63 ###### MATH ###### size 33 ###### gpa 2.9834698949629033 ###### top Share 46.71989715257013 ###### count 69 ###### STAT ###### size 19 ###### gpa 3.247335845906281 ###### top Share 58.329434774225824 ###### count 57 ##### 1162 ###### school ###### size 954 ###### gpa 3.43726781345039 ###### top Share 68.05645304987395 ###### count 64.5 ###### COMPSCI ###### size 35 ###### gpa 3.3323013900568625 ###### top Share 63.38685451839816 ###### count 56 ###### MATH ###### size 36 ###### gpa 3.1059509777204544 ###### top Share 50.071044743474 ###### count 74.5 ###### STAT ###### size 24 ###### gpa 3.394300783591793 ###### top Share 65.51183483352922 ###### count 50.5 ##### 1164 ###### school ###### size 965 ###### gpa 3.46491230798535 ###### top Share 69.92376287143657 ###### count 68 ###### COMPSCI ###### size 32 ###### gpa 3.2951719476979457 ###### top Share 63.07751525075427 ###### count 84 ###### MATH ###### size 32 ###### gpa 2.995223360849456 ###### top Share 46.38098813836469 ###### count 83 ###### STAT ###### size 21 ###### gpa 3.317795716655057 ###### top Share 62.84642273068802 ###### count 69 ##### 1172 ###### school ###### size 991 ###### gpa 3.465129042641772 ###### top Share 69.42600667567366 ###### count 67 ###### COMPSCI ###### size 31 ###### gpa 3.3325489227746874 ###### top Share 61.97665055034616 ###### count 74 ###### MATH ###### size 36 ###### gpa 3.098601909983034 ###### top Share 48.67573746500224 ###### count 66 ###### STAT ###### size 25 ###### gpa 3.3324928117291264 ###### top Share 61.945618937548005 ###### count 56 ##### 1174 ###### school ###### size 955 ###### gpa 3.4597947384071412 ###### top Share 69.5290038366363 ###### count 69 ###### COMPSCI ###### size 30 ###### gpa 3.3383019285046376 ###### top Share 63.22952984555728 ###### count 108 ###### MATH ###### size 32 ###### gpa 2.992971960864239 ###### top Share 44.393513280464695 ###### count 89 ###### STAT ###### size 22 ###### gpa 3.3391231320477925 ###### top Share 62.80825113292103 ###### count 71.5 ##### 1182 ###### school ###### size 1025 ###### gpa 3.474159360325319 ###### top Share 70.34861441764347 ###### count 69 ###### COMPSCI ###### size 36 ###### gpa 3.352907303323745 ###### top Share 63.88103454195665 ###### count 90.5 ###### MATH ###### size 36 ###### gpa 3.0839531022443034 ###### top Share 48.116975859522796 ###### count 80 ###### STAT ###### size 24 ###### gpa 3.4023821420534044 ###### top Share 65.90044412864664 ###### count 65.5 ##### 1184 ###### school ###### size 1010 ###### gpa 3.47925290354517 ###### top Share 70.86270937115944 ###### count 68 ###### COMPSCI ###### size 31 ###### gpa 3.329310414227759 ###### top Share 61.243618316797935 ###### count 126 ###### MATH ###### size 36 ###### gpa 3.0650838986714333 ###### top Share 47.42689290604571 ###### count 83.5 ###### STAT ###### size 25 ###### gpa 3.460210558661105 ###### top Share 70.42953406269322 ###### count 70 ##### 1192 ###### school ###### size 1077 ###### gpa 3.50327634323125 ###### top Share 72.44641925727845 ###### count 67 ###### COMPSCI ###### size 38 ###### gpa 3.3453717241366854 ###### top Share 64.2917310505246 ###### count 95.5 ###### MATH ###### size 39 ###### gpa 3.1003216533236415 ###### top Share 50.01588968281552 ###### count 99 ###### STAT ###### size 27 ###### gpa 3.349790708103796 ###### top Share 62.94637491184082 ###### count 74 ##### 1194 ###### school ###### size 1040 ###### gpa 3.4906527436719808 ###### top Share 71.74728845515045 ###### count 67 ###### COMPSCI ###### size 38 ###### gpa 3.3433846242383978 ###### top Share 63.409438479169644 ###### count 92 ###### MATH ###### size 38 ###### gpa 3.133406260873163 ###### top Share 53.17595010634325 ###### count 71.5 ###### STAT ###### size 23 ###### gpa 3.3818127863152334 ###### top Share 66.9295898310719 ###### count 79 ##### 1202 ###### school ###### size 1102 ###### gpa 3.5102605987403313 ###### top Share 72.78244569053733 ###### count 68 ###### COMPSCI ###### size 41 ###### gpa 3.3598624373657553 ###### top Share 65.26544910639922 ###### count 91 ###### MATH ###### size 40 ###### gpa 3.1467748801316944 ###### top Share 52.57847974231038 ###### count 90.5 ###### STAT ###### size 30 ###### gpa 3.4022744829589433 ###### top Share 67.29048111947832 ###### count 80.5 ##### 1204 ###### school ###### size 1012 ###### gpa 3.703747431523761 ###### top Share 84.59811226304916 ###### count 65.5 ###### COMPSCI ###### size 42 ###### gpa 3.6240893265324647 ###### top Share 79.98991493017058 ###### count 90.5 ###### MATH ###### size 29 ###### gpa 3.478717830475146 ###### top Share 69.61236805388549 ###### count 83 ###### STAT ###### size 27 ###### gpa 3.6537351147420534 ###### top Share 80.87794592686507 ###### count 56 ##### 1212 ###### school ###### size 1111 ###### gpa 3.5856416028074487 ###### top Share 77.58926748660845 ###### count 68 ###### COMPSCI ###### size 42 ###### gpa 3.450396020252364 ###### top Share 69.90950224603134 ###### count 96 ###### MATH ###### size 41 ###### gpa 3.3211331103538813 ###### top Share 59.85093623917685 ###### count 87 ###### STAT ###### size 25 ###### gpa 3.4555542540486095 ###### top Share 69.54152339778892 ###### count 100 ##### 1222 ###### school ###### size 1157 ###### gpa 3.563052311875811 ###### top Share 76.64869058732418 ###### count 64 ###### COMPSCI ###### size 46 ###### gpa 3.4266761668874532 ###### top Share 68.93117403010548 ###### count 94.5 ###### MATH ###### size 39 ###### gpa 3.2083447119296955 ###### top Share 56.75007696473496 ###### count 63 ###### STAT ###### size 32 ###### gpa 3.4861059411832307 ###### top Share 71.46520654148341 ###### count 55.5 ##### 1224 ###### school ###### size 1171 ###### gpa 3.5627882428500937 ###### top Share 76.37271640560496 ###### count 64 ###### COMPSCI ###### size 45 ###### gpa 3.4719336884851772 ###### top Share 70.89188483398956 ###### count 96 ###### MATH ###### size 34 ###### gpa 3.1555898753466907 ###### top Share 53.444319815085976 ###### count 87.5 ###### STAT ###### size 27 ###### gpa 3.4650681869904103 ###### top Share 69.88606041738046 ###### count 74 ##### 1232 ###### school ###### size 1216 ###### gpa 3.575457431972425 ###### top Share 77.33712216234007 ###### count 66 ###### COMPSCI ###### size 50 ###### gpa 3.522872390836507 ###### top Share 74.11555010870671 ###### count 82.5 ###### MATH ###### size 43 ###### gpa 3.2486774162409366 ###### top Share 56.56203211471963 ###### count 69 ###### STAT ###### size 32 ###### gpa 3.4024781451477413 ###### top Share 66.63145704464162 ###### count 60.5 ##### 1234 ###### school ###### size 1188 ###### gpa 3.5799441677552393 ###### top Share 77.18256448537606 ###### count 65 ###### COMPSCI ###### size 46 ###### gpa 3.457340982461054 ###### top Share 70.00975704504911 ###### count 111 ###### MATH ###### size 41 ###### gpa 3.178489266862151 ###### top Share 56.06874885619616 ###### count 67 ###### STAT ###### size 25 ###### gpa 3.396227416481204 ###### top Share 66.8429997070879 ###### count 67 ##### 1242 ###### school ###### size 1295 ###### gpa 3.595302892737449 ###### top Share 78.36291889885307 ###### count 67 ###### COMPSCI ###### size 52 ###### gpa 3.5206188715369935 ###### top Share 74.2043106737207 ###### count 99 ###### MATH ###### size 43 ###### gpa 3.2449031633350183 ###### top Share 58.03783489438137 ###### count 80 ###### STAT ###### size 34 ###### gpa 3.4558758327213903 ###### top Share 69.10154863162224 ###### count 55 ##### 1244 ###### school ###### size 1241 ###### gpa 3.5975573126929192 ###### top Share 78.29036874847135 ###### count 65 ###### COMPSCI ###### size 46 ###### gpa 3.477413782571094 ###### top Share 70.8725394264854 ###### count 116 ###### MATH ###### size 43 ###### gpa 3.228240949537157 ###### top Share 55.86451059486035 ###### count 68 ###### STAT ###### size 29 ###### gpa 3.390846810323202 ###### top Share 64.2629736611174 ###### count 62 ##### 1252 ###### school ###### size 1333 ###### gpa 3.619494049739118 ###### top Share 79.71442190500672 ###### count 69 ###### COMPSCI ###### size 54 ###### gpa 3.5244021201456657 ###### top Share 75.07938169795783 ###### count 101 ###### MATH ###### size 43 ###### gpa 3.185692541204979 ###### top Share 54.14175342403773 ###### count 74 ###### STAT ###### size 32 ###### gpa 3.423918594183889 ###### top Share 68.17668754351217 ###### count 70.5 ##### 1254 ###### school ###### size 1289 ###### gpa 3.6126423469389106 ###### top Share 79.48050408754871 ###### count 66 ###### COMPSCI ###### size 52 ###### gpa 3.482652727664103 ###### top Share 71.33786483648515 ###### count 105 ###### MATH ###### size 39 ###### gpa 3.180435541912479 ###### top Share 53.878371816747475 ###### count 89 ###### STAT ###### size 28 ###### gpa 3.4752654121860003 ###### top Share 68.35873780152826 ###### count 70 ##### 1262 ###### school ###### size 1320 ###### gpa 3.628825763035853 ###### top Share 80.21118846327654 ###### count 70 ###### COMPSCI ###### size 53 ###### gpa 3.533845597774486 ###### top Share 75.31824598445624 ###### count 82 ###### MATH ###### size 43 ###### gpa 3.2481769276584003 ###### top Share 56.325967864851854 ###### count 81 ###### STAT ###### size 29 ###### gpa 3.415022952129974 ###### top Share 64.95385808199006 ###### count 81 ##### 1264 ###### school ###### size 1283 ###### gpa 3.6229729166451925 ###### top Share 80.13669149396227 ###### count 66 ###### COMPSCI ###### size 48 ###### gpa 3.5022746140005943 ###### top Share 73.13318776233326 ###### count 105.5 ###### MATH ###### size 42 ###### gpa 3.13598176627681 ###### top Share 52.25969905887213 ###### count 80 ###### STAT ###### size 26 ###### gpa 3.343399816676682 ###### top Share 63.23102425546245 ###### count 66 ## instructor Trends ```json [ { "uid": "instructor_0fccae6a11c543f1039456f8", "name": "PAUL M TERWILLIGER", "count": 947, "terms": [ { "term": "1132", "count": 29, "sections": 1, "gpa": 3.1206896551724137 }, { "term": "1144", "count": 38, "sections": 1, "gpa": 2.8289473684210527 }, { "term": "1152", "count": 43, "sections": 1, "gpa": 2.953488372093023 }, { "term": "1154", "count": 37, "sections": 1, "gpa": 2.9864864864864864 }, { "term": "1164", "count": 51, "sections": 1, "gpa": 3.3529411764705883 }, { "term": "1172", "count": 52, "sections": 1, "gpa": 3.25 }, { "term": "1182", "count": 48, "sections": 1, "gpa": 3.0833333333333335 }, { "term": "1184", "count": 43, "sections": 1, "gpa": 2.9651162790697674 }, { "term": "1192", "count": 60, "sections": 1, "gpa": 3.033333333333333 }, { "term": "1194", "count": 66, "sections": 2, "gpa": 2.9545454545454546 }, { "term": "1202", "count": 45, "sections": 1, "gpa": 3.188888888888889 }, { "term": "1204", "count": 34, "sections": 1, "gpa": 3.264705882352941 }, { "term": "1212", "count": 15, "sections": 1, "gpa": 3.433333333333333 }, { "term": "1224", "count": 49, "sections": 1, "gpa": 3.0408163265306123 }, { "term": "1232", "count": 49, "sections": 1, "gpa": 3.183673469387755 }, { "term": "1234", "count": 46, "sections": 1, "gpa": 3.010869565217391 }, { "term": "1242", "count": 40, "sections": 1, "gpa": 3.225 }, { "term": "1244", "count": 43, "sections": 1, "gpa": 3.1627906976744184 }, { "term": "1252", "count": 40, "sections": 1, "gpa": 3.4375 }, { "term": "1254", "count": 69, "sections": 2, "gpa": 3.4927536231884058 }, { "term": "1262", "count": 50, "sections": 2, "gpa": 3.07 } ] }, { "uid": "instructor_91a8295117bb0ce7b172a161", "name": "TONGHAI YANG", "count": 179, "terms": [ { "term": "1114", "count": 37, "sections": 1, "gpa": 2.945945945945946 }, { "term": "1124", "count": 43, "sections": 1, "gpa": 2.616279069767442 }, { "term": "1134", "count": 38, "sections": 1, "gpa": 2.9210526315789473 }, { "term": "1174", "count": 61, "sections": 1, "gpa": 2.8688524590163933 } ] }, { "uid": "instructor_58a9ce37366ae2f8dbd39a4f", "name": "BALAZS BOROS", "count": 158, "terms": [ { "term": "1202", "count": 70, "sections": 2, "gpa": 2.992857142857143 }, { "term": "1204", "count": 22, "sections": 1, "gpa": 3.272727272727273 }, { "term": "1252", "count": 66, "sections": 2, "gpa": 3.022727272727273 } ] }, { "uid": "instructor_ede8aed2cc73dd8c67230acc", "name": "MITCH KELLER", "count": 140, "terms": [ { "term": "1242", "count": 27, "sections": 1, "gpa": 3.1666666666666665 }, { "term": "1244", "count": 40, "sections": 1, "gpa": 3.175 }, { "term": "1262", "count": 27, "sections": 1, "gpa": 3.2962962962962963 }, { "term": "1264", "count": 46, "sections": 2, "gpa": 3.369565217391304 } ] }, { "uid": "instructor_ca7794c603d0986a6ffba113", "name": "EDWARD HANSON", "count": 115, "terms": [ { "term": "1192", "count": 67, "sections": 1, "gpa": 3.029850746268657 }, { "term": "1194", "count": 48, "sections": 1, "gpa": 2.8541666666666665 } ] }, { "uid": "instructor_91ba0ecbfb754ecba5e7dd8c", "name": "MIKHAIL IVANOV", "count": 112, "terms": [ { "term": "1212", "count": 32, "sections": 1, "gpa": 2.953125 }, { "term": "1222", "count": 51, "sections": 2, "gpa": 3.1470588235294117 }, { "term": "1242", "count": 29, "sections": 1, "gpa": 3.189655172413793 } ] }, { "uid": "instructor_5d4e06ca1f7228b5cb5a0ce9", "name": "DAVID KEATING", "count": 84, "terms": [ { "term": "1224", "count": 84, "sections": 2, "gpa": 3.113095238095238 } ] }, { "uid": "instructor_65da733714b2ad5c9be740c6", "name": "ALEKSANDRA SOBIESKA", "count": 83, "terms": [ { "term": "1232", "count": 83, "sections": 2, "gpa": 2.9879518072289155 } ] }, { "uid": "instructor_2ac2deeb0fbdfaa160482334", "name": "KEN ONO", "count": 78, "terms": [ { "term": "1084", "count": 18, "sections": 1, "gpa": 3.4444444444444446 }, { "term": "1092", "count": 23, "sections": 1, "gpa": 3.3043478260869565 }, { "term": "1102", "count": 37, "sections": 1, "gpa": 3.4324324324324325 } ] }, { "uid": "instructor_1078565b279a801a06f86832", "name": "MANLIO VALENTI", "count": 71, "terms": [ { "term": "1234", "count": 71, "sections": 2, "gpa": 2.8450704225352115 } ] }, { "uid": "instructor_61225c0eff5b70a15f7b6618", "name": "ARNOLD W MILLER", "count": 70, "terms": [ { "term": "1104", "count": 26, "sections": 1, "gpa": 2.980769230769231 }, { "term": "1112", "count": 44, "sections": 1, "gpa": 3.102272727272727 } ] }, { "uid": "instructor_1875f90a89dc101cbb5bf87c", "name": "DANIELLE BURTON", "count": 46, "terms": [ { "term": "1212", "count": 46, "sections": 1, "gpa": 3.3369565217391304 } ] }, { "uid": "instructor_2b9448a4e86e6cef772805dd", "name": "MATTHEW BALLARD", "count": 43, "terms": [ { "term": "1122", "count": 43, "sections": 1, "gpa": 3.3255813953488373 } ] }, { "uid": "instructor_c6612773bc44263fac7812ef", "name": "ROBERT HARRON", "count": 43, "terms": [ { "term": "1142", "count": 43, "sections": 1, "gpa": 2.941860465116279 } ] }, { "uid": "instructor_426fba9cae006e259ed01714", "name": "DOHYUN KWON", "count": 42, "terms": [ { "term": "1212", "count": 42, "sections": 1, "gpa": 3.2738095238095237 } ] }, { "uid": "instructor_858fc74aa257d642fd64e6d4", "name": "ALEKSANDR PAVLOV", "count": 39, "terms": [ { "term": "1184", "count": 39, "sections": 1, "gpa": 2.7051282051282053 } ] }, { "uid": "instructor_495d959af0edec197ef1c1a4", "name": "SHENGWEN GAN", "count": 38, "terms": [ { "term": "1244", "count": 38, "sections": 1, "gpa": 3.039473684210526 } ] }, { "uid": "instructor_cb2c5d2eb54246a04390c95e", "name": "JOHN WILTSHIRE-GORDON", "count": 37, "terms": [ { "term": "1182", "count": 37, "sections": 1, "gpa": 3.081081081081081 } ] }, { "uid": "instructor_c513d17e5fc9a64193e0c6e5", "name": "STEVEN SAM", "count": 35, "terms": [ { "term": "1162", "count": 35, "sections": 1, "gpa": 3.0714285714285716 } ] }, { "uid": "instructor_1e24f94aea20e0aa140b0f04", "name": "RICHARD A BRUALDI", "count": 32, "terms": [ { "term": "1082", "count": 32, "sections": 1, "gpa": 3.03125 } ] }, { "uid": "instructor_cdebe12f82db274ba9d0eda3", "name": "STEFFEN LEMPP", "count": 29, "terms": [ { "term": "1194", "count": 29, "sections": 1, "gpa": 3 } ] }, { "uid": "instructor_f3eee5c71b9825c49d9eb0c0", "name": "LINDSAY STOVALL", "count": 29, "terms": [ { "term": "1254", "count": 29, "sections": 1, "gpa": 3.1379310344827585 } ] }, { "uid": "instructor_2526da1b4d60f44a1bea00f0", "name": "YANNAN QIU", "count": 28, "terms": [ { "term": "1094", "count": 28, "sections": 1, "gpa": 3.3035714285714284 } ] }, { "uid": "instructor_e0fb56b7bae68763eeb2fd33", "name": "JUN LE GOH", "count": 28, "terms": [ { "term": "1222", "count": 28, "sections": 1, "gpa": 3.0357142857142856 } ] }, { "uid": "instructor_9683e8eff917088edb4da921", "name": "SIDDESH WAGH", "count": 27, "terms": [ { "term": "1204", "count": 27, "sections": 1, "gpa": 3.4444444444444446 } ] }, { "uid": "instructor_94f1a53e08f364a503597894", "name": "ALBRECHT KLEMM", "count": 19, "terms": [ { "term": "1074", "count": 19, "sections": 1, "gpa": 3.3684210526315788 } ] }, { "uid": "instructor_60b7d02bb0f2683b9c6a389f", "name": "RAJULA SRIVASTAVA", "count": 17, "terms": [ { "term": "1264", "count": 17, "sections": 1, "gpa": 3.2941176470588234 } ] }, { "uid": "instructor_e93d16d5b70a4a1936105233", "name": "LEV BORISOV", "count": 15, "terms": [ { "term": "1072", "count": 15, "sections": 1, "gpa": 3 } ] }, { "uid": "instructor_81b429dc1e8a4acb45894510", "name": "DIETRICH UHLENBROCK", "count": 12, "terms": [ { "term": "1072", "count": 12, "sections": 1, "gpa": 3.125 } ] } ] ``` ## following | code | title | | ----------- | ----------------------------------- | | COMPSCI 520 | INTRODUCTION TO THEORY OF COMPUTING | | COMPSCI 550 | ALGORITHMIC GAME THEORY & LEARNING | | COMPSCI 577 | INTRODUCTION TO ALGORITHMS | ## projection ### target 1272 ### interval #### lower 3 #### upper 3.3 #### coverage 80 #### terms 8 ### gpa 3.1471069525043616 ### grades | grade | percentage | | ----- | ------------------ | | A | 36.890590753877845 | | AB | 14.32840916569081 | | B | 21.981647785747572 | | BC | 9.16528204044231 | | C | 11.808650450592765 | | D | 4.523450795472932 | | F | 1.3019690081757602 | ### source Terms * 1262 * 1252 * 1242 * 1232 * 1222 ### source Count 490 ### same Season true ### historical Range * 3.0606060606060606 * 3.197916666666667 ### backtest #### terms 8 #### gpa Error 0.05479655850178439 #### mix Error 12.121685139558311