# COMPSCI/MATH 240: Introduction to Discrete Mathematics | UW–Madison [View on UW Courses](https://uwcourses.com/courses/COMPSCI_MATH_240) ## 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 ea241400ec78cc47e6f26806d268b633f16d636170978d446cc44ad7dc3dec7a ### course id COMPSCI/MATH 240 ### course uid course\_9a1a7bf1933981bcbaca47ac ### catalog version id 1a6121fa01adc2066577459eca358359b833e16f9dc4604f383655b06b61115d ### course number 240 ### subjects * COMPSCI * MATH ### title INTRODUCTION TO DISCRETE MATHEMATICS ### description Basic concepts of logic, sets, partial order and other relations, and functions. Basic concepts of mathematics (definitions, proofs, sets, functions, and relations) with a focus on discrete structures: integers, bits, strings, trees, and graphs. Propositional logic, Boolean algebra, and predicate logic. Mathematical induction and recursion. Invariants and algorithmic correctness. Recurrences and asymptotic growth analysis. Fundamentals of counting. ### requirements text MATH 217 or221 ### credits min 3 ### credits max 3 ### credit offering ids * 1272:266:011630 * 1272:600:011630 ### llm job id enrich-f516c4d3e82cfe326b4f5f54 ### llm output id 198d7aa4d27d39f022a010df0e2cbf9c073dd40d6b2f9fda414d1b3245de3427 ### llm model nvidia/Qwen3.6-35B-A3B-NVFP4 ### llm model revision 1355db6a052410cfd62085d94b58866fd0f2c3c5 ### llm task version 14 ### llm search status valid ### llm summary Introduction to discrete mathematics covering logic, proofs, sets, functions, and discrete structures like graphs and trees. ### llm topics * Discrete structures (integers, bits, strings, trees, graphs) * Partial orders and relations * Boolean algebra ### llm skills * Logic and set theory fundamentals * Propositional and predicate logic * Mathematical induction and recursion * Algorithmic correctness and invariants * Recurrences and asymptotic analysis * Counting fundamentals ### llm assumed background * Calculus background (MATH 221) ### llm search phrases * discrete mathematics introduction * logic sets functions course * proofs induction recursion * discrete structures COMPSCI MATH 240 ### llm requirements status valid ### llm student summary status valid ### llm experience status valid ### catalog variants None recorded. ### student summary #### context hash d5672c28e89d455b41143377635cd2c218afc45f68f4839ecd5714e01ce5c1cb #### course id COMPSCI/MATH 240 #### current instructors ```json [ { "instructor_uid": "instructor_0b59d961a19d99435b2139ea", "message": null, "name": "Beck Hasti", "review_status": "supported", "rmp_instructor_id": "rmp:384064", "summary": [ { "citations": [ { "instructor_name": "Beck Hasti", "review_date": "2015-12-18 21:00:10 +0000 UTC", "review_id": "4e4e12eaf102c568a8d9bbc2", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:384064", "source_review_id": "UmF0aW5nLTI1NzY2NDE3", "source_url": "https://www.ratemyprofessors.com/professor/384064", "type": "review" }, { "instructor_name": "Beck Hasti", "review_date": "2019-12-12 04:19:27 +0000 UTC", "review_id": "c77f3907d11b038e3e1c9131", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:384064", "source_review_id": "UmF0aW5nLTMyNjIyNzM0", "source_url": "https://www.ratemyprofessors.com/professor/384064", "type": "review" }, { "instructor_name": "Beck Hasti", "review_date": "2021-12-09 01:51:39 +0000 UTC", "review_id": "e4fdc95a1d86db4f1873c4ff", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:384064", "source_review_id": "UmF0aW5nLTM1NDI5ODA5", "source_url": "https://www.ratemyprofessors.com/professor/384064", "type": "review" }, { "instructor_name": "Beck Hasti", "review_date": "2022-12-19 23:57:33 +0000 UTC", "review_id": "07bf0df35273b6c1f9a96cb2", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:384064", "source_review_id": "UmF0aW5nLTM3MTk0ODEx", "source_url": "https://www.ratemyprofessors.com/professor/384064", "type": "review" }, { "instructor_name": "Beck Hasti", "review_date": "2022-12-31 05:21:01 +0000 UTC", "review_id": "df1cffbe12d5ed3d83902bc6", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:384064", "source_review_id": "UmF0aW5nLTM3MjY2MzQz", "source_url": "https://www.ratemyprofessors.com/professor/384064", "type": "review" }, { "instructor_name": "Beck Hasti", "review_date": "2023-12-28 18:39:41 +0000 UTC", "review_id": "a57b46ddddaf214743372dfb", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:384064", "source_review_id": "UmF0aW5nLTM4ODA0NzEz", "source_url": "https://www.ratemyprofessors.com/professor/384064", "type": "review" }, { "instructor_name": "Beck Hasti", "review_date": "2024-12-23 03:16:29 +0000 UTC", "review_id": "6a46a70b7a045b50feb38942", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:384064", "source_review_id": "UmF0aW5nLTQwNDIwMDAy", "source_url": "https://www.ratemyprofessors.com/professor/384064", "type": "review" }, { "instructor_name": "Beck Hasti", "review_date": "2025-12-23 02:53:14 +0000 UTC", "review_id": "906bb73ce3fef155c67a0e57", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:384064", "source_review_id": "UmF0aW5nLTQyMzgwOTM4", "source_url": "https://www.ratemyprofessors.com/professor/384064", "type": "review" } ], "text": "Beck Hasti is praised for making material easy to understand and caring for students. Reviewers frequently recommend his helpful office hours for learning course content." }, { "citations": [ { "instructor_name": "Beck Hasti", "review_date": "2016-12-11 18:05:55 +0000 UTC", "review_id": "981733a9ec49f0878deb8882", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:384064", "source_review_id": "UmF0aW5nLTI3NDM0NDk3", "source_url": "https://www.ratemyprofessors.com/professor/384064", "type": "review" }, { "instructor_name": "Beck Hasti", "review_date": "2018-01-17 23:41:16 +0000 UTC", "review_id": "4747f269fd85c114370ff159", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:384064", "source_review_id": "UmF0aW5nLTI5NDcwNjAx", "source_url": "https://www.ratemyprofessors.com/professor/384064", "type": "review" } ], "text": "Some reviewers found his lectures boring or unclear and the proofs section lengthy. Others reported discussions were pointless due to poor TA performance, indicating variable support." }, { "citations": [ { "course_id": "COMPSCI/MATH 240", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "60bf2c49-51e0-3f19-b9a5-04c55dbd3a7c", "source_record": { "entity_id": "60bf2c49-51e0-3f19-b9a5-04c55dbd3a7c", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1242", "type": "grade" }, { "course_id": "COMPSCI/MATH 240", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "60bf2c49-51e0-3f19-b9a5-04c55dbd3a7c", "source_record": { "entity_id": "60bf2c49-51e0-3f19-b9a5-04c55dbd3a7c", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1242", "type": "grade" }, { "course_id": "COMPSCI/MATH 240", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "60bf2c49-51e0-3f19-b9a5-04c55dbd3a7c", "source_record": { "entity_id": "60bf2c49-51e0-3f19-b9a5-04c55dbd3a7c", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1252", "type": "grade" }, { "course_id": "COMPSCI/MATH 240", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "60bf2c49-51e0-3f19-b9a5-04c55dbd3a7c", "source_record": { "entity_id": "60bf2c49-51e0-3f19-b9a5-04c55dbd3a7c", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1252", "type": "grade" }, { "course_id": "COMPSCI/MATH 240", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "60bf2c49-51e0-3f19-b9a5-04c55dbd3a7c", "source_record": { "entity_id": "60bf2c49-51e0-3f19-b9a5-04c55dbd3a7c", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1262", "type": "grade" }, { "course_id": "COMPSCI/MATH 240", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "60bf2c49-51e0-3f19-b9a5-04c55dbd3a7c", "source_record": { "entity_id": "60bf2c49-51e0-3f19-b9a5-04c55dbd3a7c", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1262", "type": "grade" } ], "text": "Recent recorded grades — Fall 2023: 3.14 GPA, 39.4% A/AB (n=469 letter grades); Fall 2024: 3.13 GPA, 40.6% A/AB (n=485 letter grades); Fall 2025: 3.05 GPA, 35.1% A/AB (n=373 letter grades)." } ] }, { "instructor_uid": "instructor_c665141c0f7a05fb7eb098ac", "message": null, "name": "Scott Swanson", "review_status": "supported", "rmp_instructor_id": "rmp:2823898", "summary": [ { "citations": [ { "instructor_name": "Scott Swanson", "review_date": "2024-12-19 21:05:59 +0000 UTC", "review_id": "6a18025c80a7d503298eeeeb", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2823898", "source_review_id": "UmF0aW5nLTQwMzg2MTY0", "source_url": "https://www.ratemyprofessors.com/professor/2823898", "type": "review" }, { "instructor_name": "Scott Swanson", "review_date": "2024-12-23 00:53:56 +0000 UTC", "review_id": "f58f31041e96e7623a0a1734", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2823898", "source_review_id": "UmF0aW5nLTQwNDE4OTkw", "source_url": "https://www.ratemyprofessors.com/professor/2823898", "type": "review" }, { "instructor_name": "Scott Swanson", "review_date": "2024-12-23 15:43:07 +0000 UTC", "review_id": "869416db757f964c4ca846ff", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2823898", "source_review_id": "UmF0aW5nLTQwNDIyOTM0", "source_url": "https://www.ratemyprofessors.com/professor/2823898", "type": "review" }, { "instructor_name": "Scott Swanson", "review_date": "2025-11-14 02:56:25 +0000 UTC", "review_id": "1b3489248280d4884ce0a56c", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2823898", "source_review_id": "UmF0aW5nLTQxODY1NTYx", "source_url": "https://www.ratemyprofessors.com/professor/2823898", "type": "review" }, { "instructor_name": "Scott Swanson", "review_date": "2025-11-24 19:33:26 +0000 UTC", "review_id": "417a4f54430c82a88439d1de", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2823898", "source_review_id": "UmF0aW5nLTQxOTQyODc1", "source_url": "https://www.ratemyprofessors.com/professor/2823898", "type": "review" }, { "instructor_name": "Scott Swanson", "review_date": "2025-12-16 23:44:44 +0000 UTC", "review_id": "f262dedcd6faa39c7875576a", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2823898", "source_review_id": "UmF0aW5nLTQyMjk1ODE3", "source_url": "https://www.ratemyprofessors.com/professor/2823898", "type": "review" }, { "instructor_name": "Scott Swanson", "review_date": "2025-12-26 05:18:20 +0000 UTC", "review_id": "32da40d04b918703f75282c4", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2823898", "source_review_id": "UmF0aW5nLTQyMzk5MzAx", "source_url": "https://www.ratemyprofessors.com/professor/2823898", "type": "review" }, { "instructor_name": "Scott Swanson", "review_date": "2026-04-10 21:45:35 +0000 UTC", "review_id": "32805df8bd68332ae07fd843", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2823898", "source_review_id": "UmF0aW5nLTQyODE0NDMz", "source_url": "https://www.ratemyprofessors.com/professor/2823898", "type": "review" } ], "text": "Scott Swanson receives severe criticism for being rude, angry, and unkind, with multiple reviewers advising against his lectures due to a toxic learning environment. In contrast, Beck Hasti is praised as a far better and nicer teacher who provides a clear understanding of the material." }, { "citations": [ { "instructor_name": "Scott Swanson", "review_date": "2025-09-26 15:36:10 +0000 UTC", "review_id": "1a50ff3ea17b21e01937d97f", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2823898", "source_review_id": "UmF0aW5nLTQxNjY3OTk2", "source_url": "https://www.ratemyprofessors.com/professor/2823898", "type": "review" }, { "instructor_name": "Scott Swanson", "review_date": "2026-02-13 23:42:03 +0000 UTC", "review_id": "27250e56c406e83fde4b452e", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2823898", "source_review_id": "UmF0aW5nLTQyNjExOTA3", "source_url": "https://www.ratemyprofessors.com/professor/2823898", "type": "review" } ], "text": "Scott Swanson is described as giving fun lectures and being relatively lenient on homework, with one reviewer noting he is a very funny guy who treats students nicely if approached positively." }, { "citations": [ { "course_id": "COMPSCI/MATH 240", "run_id": "20260907T155543-ce3781c4", "section_number": 3, "source_course_id": "60bf2c49-51e0-3f19-b9a5-04c55dbd3a7c", "source_record": { "entity_id": "60bf2c49-51e0-3f19-b9a5-04c55dbd3a7c", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1252", "type": "grade" }, { "course_id": "COMPSCI/MATH 240", "run_id": "20260907T155543-ce3781c4", "section_number": 3, "source_course_id": "60bf2c49-51e0-3f19-b9a5-04c55dbd3a7c", "source_record": { "entity_id": "60bf2c49-51e0-3f19-b9a5-04c55dbd3a7c", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1262", "type": "grade" } ], "text": "Recent recorded grades — Fall 2024: 3.12 GPA, 42.0% A/AB (n=119 letter grades); Fall 2025: 2.87 GPA, 26.1% A/AB (n=165 letter grades)." } ] } ] ``` #### difficulty workload Reviewers describe the course as difficult, citing tough exams, lengthy proofs, and time-consuming homework as the main challenges. ```json { "citations": [ { "instructor_name": "Beck Hasti", "review_date": "2018-01-17 23:41:16 +0000 UTC", "review_id": "4747f269fd85c114370ff159", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:384064", "source_review_id": "UmF0aW5nLTI5NDcwNjAx", "source_url": "https://www.ratemyprofessors.com/professor/384064", "type": "review" }, { "instructor_name": "Beck Hasti", "review_date": "2019-12-12 04:19:27 +0000 UTC", "review_id": "c77f3907d11b038e3e1c9131", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:384064", "source_review_id": "UmF0aW5nLTMyNjIyNzM0", "source_url": "https://www.ratemyprofessors.com/professor/384064", "type": "review" }, { "instructor_name": "Beck Hasti", "review_date": "2021-12-09 01:51:39 +0000 UTC", "review_id": "e4fdc95a1d86db4f1873c4ff", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:384064", "source_review_id": "UmF0aW5nLTM1NDI5ODA5", "source_url": "https://www.ratemyprofessors.com/professor/384064", "type": "review" }, { "instructor_name": "Beck Hasti", "review_date": "2023-12-28 18:39:41 +0000 UTC", "review_id": "a57b46ddddaf214743372dfb", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:384064", "source_review_id": "UmF0aW5nLTM4ODA0NzEz", "source_url": "https://www.ratemyprofessors.com/professor/384064", "type": "review" }, { "instructor_name": "Beck Hasti", "review_date": "2024-12-23 03:16:29 +0000 UTC", "review_id": "6a46a70b7a045b50feb38942", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:384064", "source_review_id": "UmF0aW5nLTQwNDIwMDAy", "source_url": "https://www.ratemyprofessors.com/professor/384064", "type": "review" }, { "instructor_name": "Beck Hasti", "review_date": "2025-12-23 02:53:14 +0000 UTC", "review_id": "906bb73ce3fef155c67a0e57", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:384064", "source_review_id": "UmF0aW5nLTQyMzgwOTM4", "source_url": "https://www.ratemyprofessors.com/professor/384064", "type": "review" } ] } ``` #### errors None recorded. #### historical context Beck Hasti and Scott Swanson have no reviews in this dataset. Historical reviews for Mikhail Ivanov describe structured lectures, online notes, and fair grading, though one reviewer noted his accent and stutter were difficult to understand. ```json { "citations": [ { "instructor_name": "Mikhail Ivanov", "review_date": "2024-09-29 05:12:03 +0000 UTC", "review_id": "5319d0a2f1978beabbd402d1", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:2680569", "source_review_id": "UmF0aW5nLTM5NzczMTE5", "source_url": "https://www.ratemyprofessors.com/professor/2680569", "type": "review" } ] } ``` #### offered true #### profile hash e59ddc7389015d0035b68cd195c939d475bf72b959b29cf12eab59b454ccaef1 #### quick take Beck Hasti is described as helpful and caring, with students noting his office hours are essential for learning. Some reviewers find his lectures unclear or boring, while others praise his ability to explain concepts. ```json { "citations": [ { "instructor_name": "Beck Hasti", "review_date": "2015-12-18 21:00:10 +0000 UTC", "review_id": "4e4e12eaf102c568a8d9bbc2", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:384064", "source_review_id": "UmF0aW5nLTI1NzY2NDE3", "source_url": "https://www.ratemyprofessors.com/professor/384064", "type": "review" }, { "instructor_name": "Beck Hasti", "review_date": "2019-12-12 04:19:27 +0000 UTC", "review_id": "c77f3907d11b038e3e1c9131", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:384064", "source_review_id": "UmF0aW5nLTMyNjIyNzM0", "source_url": "https://www.ratemyprofessors.com/professor/384064", "type": "review" }, { "instructor_name": "Beck Hasti", "review_date": "2021-12-09 01:51:39 +0000 UTC", "review_id": "e4fdc95a1d86db4f1873c4ff", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:384064", "source_review_id": "UmF0aW5nLTM1NDI5ODA5", "source_url": "https://www.ratemyprofessors.com/professor/384064", "type": "review" }, { "instructor_name": "Beck Hasti", "review_date": "2022-12-19 23:57:33 +0000 UTC", "review_id": "07bf0df35273b6c1f9a96cb2", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:384064", "source_review_id": "UmF0aW5nLTM3MTk0ODEx", "source_url": "https://www.ratemyprofessors.com/professor/384064", "type": "review" }, { "instructor_name": "Beck Hasti", "review_date": "2022-12-31 05:21:01 +0000 UTC", "review_id": "df1cffbe12d5ed3d83902bc6", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:384064", "source_review_id": "UmF0aW5nLTM3MjY2MzQz", "source_url": "https://www.ratemyprofessors.com/professor/384064", "type": "review" }, { "instructor_name": "Beck Hasti", "review_date": "2023-12-28 18:39:41 +0000 UTC", "review_id": "a57b46ddddaf214743372dfb", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:384064", "source_review_id": "UmF0aW5nLTM4ODA0NzEz", "source_url": "https://www.ratemyprofessors.com/professor/384064", "type": "review" }, { "instructor_name": "Beck Hasti", "review_date": "2024-12-23 03:16:29 +0000 UTC", "review_id": "6a46a70b7a045b50feb38942", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:384064", "source_review_id": "UmF0aW5nLTQwNDIwMDAy", "source_url": "https://www.ratemyprofessors.com/professor/384064", "type": "review" }, { "instructor_name": "Beck Hasti", "review_date": "2025-12-23 02:53:14 +0000 UTC", "review_id": "906bb73ce3fef155c67a0e57", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:384064", "source_review_id": "UmF0aW5nLTQyMzgwOTM4", "source_url": "https://www.ratemyprofessors.com/professor/384064", "type": "review" } ] } ``` Recent recorded grades — Spring 2025: 3.18 GPA, 55.8% A/AB (n=547 letter grades); Fall 2025: 3.00 GPA, 32.3% A/AB (n=538 letter grades); Spring 2026: 3.40 GPA, 69.0% A/AB (n=413 letter grades). ```json { "citations": [ { "course_id": "COMPSCI/MATH 240", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "60bf2c49-51e0-3f19-b9a5-04c55dbd3a7c", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1254", "type": "grade" }, { "course_id": "COMPSCI/MATH 240", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "60bf2c49-51e0-3f19-b9a5-04c55dbd3a7c", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1262", "type": "grade" }, { "course_id": "COMPSCI/MATH 240", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "60bf2c49-51e0-3f19-b9a5-04c55dbd3a7c", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1264", "type": "grade" } ] } ``` #### student experience Students report that TAs are often unhelpful and grading timelines are slow, though one review attributes grading delays to a specific TA rather than the professor. ```json { "citations": [ { "instructor_name": "Beck Hasti", "review_date": "2016-12-11 18:05:55 +0000 UTC", "review_id": "981733a9ec49f0878deb8882", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:384064", "source_review_id": "UmF0aW5nLTI3NDM0NDk3", "source_url": "https://www.ratemyprofessors.com/professor/384064", "type": "review" }, { "instructor_name": "Beck Hasti", "review_date": "2022-12-19 23:57:33 +0000 UTC", "review_id": "07bf0df35273b6c1f9a96cb2", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:384064", "source_review_id": "UmF0aW5nLTM3MTk0ODEx", "source_url": "https://www.ratemyprofessors.com/professor/384064", "type": "review" }, { "instructor_name": "Beck Hasti", "review_date": "2024-12-23 03:16:29 +0000 UTC", "review_id": "6a46a70b7a045b50feb38942", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:384064", "source_review_id": "UmF0aW5nLTQwNDIwMDAy", "source_url": "https://www.ratemyprofessors.com/professor/384064", "type": "review" }, { "instructor_name": "Beck Hasti", "review_date": "2025-12-23 02:53:14 +0000 UTC", "review_id": "906bb73ce3fef155c67a0e57", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:384064", "source_review_id": "UmF0aW5nLTQyMzgwOTM4", "source_url": "https://www.ratemyprofessors.com/professor/384064", "type": "review" } ] } ``` #### task hash 74fb0997943e888960bbc9e47db8c4fd12e4292d55c20509d8d89db6a9910f68 #### teaching history ANTOINE REMOND-TIEDREZ is recorded teaching in Spring 2023. Recorded history may be incomplete and does not establish a future schedule. ```json { "citations": [ { "course_id": "COMPSCI/MATH 240", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "60bf2c49-51e0-3f19-b9a5-04c55dbd3a7c", "source_record": { "entity_id": "60bf2c49-51e0-3f19-b9a5-04c55dbd3a7c", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1234", "type": "grade" } ] } ``` ARNOLD W MILLER is recorded teaching in Spring 2008. Recorded history may be incomplete and does not establish a future schedule. ```json { "citations": [ { "course_id": "COMPSCI/MATH 240", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "60bf2c49-51e0-3f19-b9a5-04c55dbd3a7c", "source_record": { "entity_id": "60bf2c49-51e0-3f19-b9a5-04c55dbd3a7c", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1084", "type": "grade" } ] } ``` BECK HASTI is recorded teaching in Fall 2015, Fall 2016, Fall 2017, Fall 2018, Fall 2019, Fall 2020, Fall 2021, Fall 2022, Fall 2023, Fall 2024, Fall 2025. Recorded history may be incomplete and does not establish a future schedule. ```json { "citations": [ { "course_id": "COMPSCI/MATH 240", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "60bf2c49-51e0-3f19-b9a5-04c55dbd3a7c", "source_record": { "entity_id": "60bf2c49-51e0-3f19-b9a5-04c55dbd3a7c", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1162", "type": "grade" }, { "course_id": "COMPSCI/MATH 240", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "60bf2c49-51e0-3f19-b9a5-04c55dbd3a7c", "source_record": { "entity_id": "60bf2c49-51e0-3f19-b9a5-04c55dbd3a7c", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1172", "type": "grade" }, { "course_id": "COMPSCI/MATH 240", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "60bf2c49-51e0-3f19-b9a5-04c55dbd3a7c", "source_record": { "entity_id": "60bf2c49-51e0-3f19-b9a5-04c55dbd3a7c", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1172", "type": "grade" }, { "course_id": "COMPSCI/MATH 240", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "60bf2c49-51e0-3f19-b9a5-04c55dbd3a7c", "source_record": { "entity_id": "60bf2c49-51e0-3f19-b9a5-04c55dbd3a7c", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1182", "type": "grade" }, { "course_id": "COMPSCI/MATH 240", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "60bf2c49-51e0-3f19-b9a5-04c55dbd3a7c", "source_record": { "entity_id": "60bf2c49-51e0-3f19-b9a5-04c55dbd3a7c", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1182", "type": "grade" }, { "course_id": "COMPSCI/MATH 240", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "60bf2c49-51e0-3f19-b9a5-04c55dbd3a7c", "source_record": { "entity_id": "60bf2c49-51e0-3f19-b9a5-04c55dbd3a7c", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1192", "type": "grade" }, { "course_id": "COMPSCI/MATH 240", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "60bf2c49-51e0-3f19-b9a5-04c55dbd3a7c", "source_record": { "entity_id": "60bf2c49-51e0-3f19-b9a5-04c55dbd3a7c", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1192", "type": "grade" }, { "course_id": "COMPSCI/MATH 240", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "60bf2c49-51e0-3f19-b9a5-04c55dbd3a7c", "source_record": { "entity_id": "60bf2c49-51e0-3f19-b9a5-04c55dbd3a7c", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1202", "type": "grade" }, { "course_id": "COMPSCI/MATH 240", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "60bf2c49-51e0-3f19-b9a5-04c55dbd3a7c", "source_record": { "entity_id": "60bf2c49-51e0-3f19-b9a5-04c55dbd3a7c", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1202", "type": "grade" }, { "course_id": "COMPSCI/MATH 240", "run_id": "20260907T155543-ce3781c4", "section_number": 3, "source_course_id": "60bf2c49-51e0-3f19-b9a5-04c55dbd3a7c", "source_record": { "entity_id": "60bf2c49-51e0-3f19-b9a5-04c55dbd3a7c", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1202", "type": "grade" }, { "course_id": "COMPSCI/MATH 240", "run_id": 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"source": "madgrades" }, "table": "section_grades_latest", "term_id": "1222", "type": "grade" }, { "course_id": "COMPSCI/MATH 240", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "60bf2c49-51e0-3f19-b9a5-04c55dbd3a7c", "source_record": { "entity_id": "60bf2c49-51e0-3f19-b9a5-04c55dbd3a7c", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1222", "type": "grade" }, { "course_id": "COMPSCI/MATH 240", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "60bf2c49-51e0-3f19-b9a5-04c55dbd3a7c", "source_record": { "entity_id": "60bf2c49-51e0-3f19-b9a5-04c55dbd3a7c", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1232", "type": "grade" }, { "course_id": "COMPSCI/MATH 240", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "60bf2c49-51e0-3f19-b9a5-04c55dbd3a7c", "source_record": { "entity_id": "60bf2c49-51e0-3f19-b9a5-04c55dbd3a7c", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1232", "type": "grade" }, { "course_id": "COMPSCI/MATH 240", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "60bf2c49-51e0-3f19-b9a5-04c55dbd3a7c", "source_record": { "entity_id": "60bf2c49-51e0-3f19-b9a5-04c55dbd3a7c", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1242", "type": "grade" }, { "course_id": "COMPSCI/MATH 240", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "60bf2c49-51e0-3f19-b9a5-04c55dbd3a7c", "source_record": { "entity_id": "60bf2c49-51e0-3f19-b9a5-04c55dbd3a7c", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1242", "type": "grade" }, { "course_id": "COMPSCI/MATH 240", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "60bf2c49-51e0-3f19-b9a5-04c55dbd3a7c", "source_record": { "entity_id": "60bf2c49-51e0-3f19-b9a5-04c55dbd3a7c", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1252", "type": "grade" }, { "course_id": "COMPSCI/MATH 240", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "60bf2c49-51e0-3f19-b9a5-04c55dbd3a7c", "source_record": { "entity_id": "60bf2c49-51e0-3f19-b9a5-04c55dbd3a7c", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1252", "type": "grade" }, { "course_id": "COMPSCI/MATH 240", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "60bf2c49-51e0-3f19-b9a5-04c55dbd3a7c", "source_record": { "entity_id": "60bf2c49-51e0-3f19-b9a5-04c55dbd3a7c", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1262", "type": "grade" }, { "course_id": "COMPSCI/MATH 240", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "60bf2c49-51e0-3f19-b9a5-04c55dbd3a7c", "source_record": { "entity_id": "60bf2c49-51e0-3f19-b9a5-04c55dbd3a7c", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1262", "type": "grade" } ] } ``` ERIC BACH is recorded teaching in Spring 2013. Recorded history may be incomplete and does not establish a future schedule. ```json { "citations": [ { "course_id": "COMPSCI/MATH 240", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "60bf2c49-51e0-3f19-b9a5-04c55dbd3a7c", "source_record": { "entity_id": "60bf2c49-51e0-3f19-b9a5-04c55dbd3a7c", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1134", "type": "grade" } ] } ``` JIRI LEBL is recorded teaching in Spring 2012. Recorded history may be incomplete and does not establish a future schedule. ```json { "citations": [ { "course_id": "COMPSCI/MATH 240", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "60bf2c49-51e0-3f19-b9a5-04c55dbd3a7c", "source_record": { "entity_id": "60bf2c49-51e0-3f19-b9a5-04c55dbd3a7c", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1124", "type": "grade" } ] } ``` JUN LE GOH is recorded teaching in Spring 2020, Spring 2022. Recorded history may be incomplete and does not establish a future schedule. ```json { "citations": [ { "course_id": "COMPSCI/MATH 240", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "60bf2c49-51e0-3f19-b9a5-04c55dbd3a7c", "source_record": { "entity_id": "60bf2c49-51e0-3f19-b9a5-04c55dbd3a7c", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1204", "type": "grade" }, { "course_id": "COMPSCI/MATH 240", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "60bf2c49-51e0-3f19-b9a5-04c55dbd3a7c", "source_record": { "entity_id": "60bf2c49-51e0-3f19-b9a5-04c55dbd3a7c", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1204", "type": "grade" }, { "course_id": "COMPSCI/MATH 240", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "60bf2c49-51e0-3f19-b9a5-04c55dbd3a7c", "source_record": { "entity_id": "60bf2c49-51e0-3f19-b9a5-04c55dbd3a7c", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1224", "type": "grade" } ] } ``` LU WANG is recorded teaching in Spring 2016. Recorded history may be incomplete and does not establish a future schedule. ```json { "citations": [ { "course_id": "COMPSCI/MATH 240", "run_id": "20260907T155543-ce3781c4", "section_number": 2, "source_course_id": "60bf2c49-51e0-3f19-b9a5-04c55dbd3a7c", "source_record": { "entity_id": "60bf2c49-51e0-3f19-b9a5-04c55dbd3a7c", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1164", "type": "grade" } ] } ``` MARC RENAULT is recorded teaching in Fall 2021. Recorded history may be incomplete and does not establish a future schedule. ```json { "citations": [ { "course_id": "COMPSCI/MATH 240", "run_id": "20260907T155543-ce3781c4", "section_number": 3, "source_course_id": "60bf2c49-51e0-3f19-b9a5-04c55dbd3a7c", "source_record": { "entity_id": "60bf2c49-51e0-3f19-b9a5-04c55dbd3a7c", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1222", "type": "grade" } ] } ``` MIKHAIL IVANOV is recorded teaching in Spring 2024. Recorded history may be incomplete and does not establish a future schedule. ```json { "citations": [ { "course_id": "COMPSCI/MATH 240", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "60bf2c49-51e0-3f19-b9a5-04c55dbd3a7c", "source_record": { "entity_id": "60bf2c49-51e0-3f19-b9a5-04c55dbd3a7c", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1244", "type": "grade" } ] } ``` SCOTT SWANSON is recorded teaching in Fall 2024, Fall 2025. Recorded history may be incomplete and does not establish a future schedule. ```json { "citations": [ { "course_id": "COMPSCI/MATH 240", "run_id": "20260907T155543-ce3781c4", "section_number": 3, "source_course_id": "60bf2c49-51e0-3f19-b9a5-04c55dbd3a7c", "source_record": { "entity_id": "60bf2c49-51e0-3f19-b9a5-04c55dbd3a7c", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1252", "type": "grade" }, { "course_id": "COMPSCI/MATH 240", "run_id": "20260907T155543-ce3781c4", "section_number": 3, "source_course_id": "60bf2c49-51e0-3f19-b9a5-04c55dbd3a7c", "source_record": { "entity_id": "60bf2c49-51e0-3f19-b9a5-04c55dbd3a7c", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1262", "type": "grade" } ] } ``` STEFFEN LEMPP is recorded teaching in Spring 2016. Recorded history may be incomplete and does not establish a future schedule. ```json { "citations": [ { "course_id": "COMPSCI/MATH 240", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "60bf2c49-51e0-3f19-b9a5-04c55dbd3a7c", "source_record": { "entity_id": "60bf2c49-51e0-3f19-b9a5-04c55dbd3a7c", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1164", "type": "grade" } ] } ``` #### term id 1272 #### term name 2026 Fall #### version 2 ### requirements #### nodes ```json [ { "children": [ "n1", "n2" ], "condition": null, "course": null, "evidence": "MATH 217 or221", "id": "n0", "kind": "any" }, { "children": [], "condition": null, "course": { "course_number": 221, "minimum_grade": null, "subjects": [ "MATH" ], "timing": "prior" }, "evidence": "221", "id": "n1", "kind": "course" }, { "children": [], "condition": "MATH 217", "course": null, "evidence": "MATH 217", "id": "n2", "kind": "condition" } ] ``` #### notes * MATH 217 is not in linked\_courses, so it is represented as a condition node. #### root n0 #### status parsed ### instructors ```json [ { "instructor_uid": "instructor_0b59d961a19d99435b2139ea", "source": "enrollment", "source_instructor_id": "bhasti", "identity_basis": "netid", "identity_status": "source_identified", "name": "Beck Hasti", "email": "HASTI@CS.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": 138, "quality": 4.27, "difficulty": 3.12, "quality_count": 138, "difficulty_count": 138, "profile_id": "rmp:384064", "source_url": "https://www.ratemyprofessors.com/professor/384064", "match_basis": "exact_name", "observed_at": "2026-09-07 16:52:17.836692+00:00", "courses": { "course_15b3f0bfce126907b8d418aa": { "review_count": 2, "quality": 2, "difficulty": 5, "quality_count": 2, "difficulty_count": 2 }, "course_9a1a7bf1933981bcbaca47ac": { "review_count": 52, "quality": 4.5, "difficulty": 3.02, "quality_count": 52, "difficulty_count": 52 }, "course_20918224366f6bbd226f8ec0": { "review_count": 4, "quality": 4, "difficulty": 3.5, "quality_count": 4, "difficulty_count": 4 }, "course_d9da99b53fd561c692c2d0e0": { "review_count": 27, "quality": 3.85, "difficulty": 3.37, "quality_count": 27, "difficulty_count": 27 }, "course_37a551eb9007bebe6a41c6b3": { "review_count": 1, "quality": 5, "difficulty": 1, "quality_count": 1, "difficulty_count": 1 } }, "bayesian_quality": 4.192745035891973, "prior_mean": 3.6596857835465957, "prior_weight": 20 }, "instructor_url": "/instructors/BECK_HASTI" }, { "instructor_uid": "instructor_c665141c0f7a05fb7eb098ac", "source": "enrollment", "source_instructor_id": "saswanson", "identity_basis": "netid", "identity_status": "source_identified", "name": "Scott Swanson", "email": "SCOTT.SWANSON@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": 69, "quality": 1.7, "difficulty": 2.97, "quality_count": 69, "difficulty_count": 69, "profile_id": "rmp:2823898", "source_url": "https://www.ratemyprofessors.com/professor/2823898", "match_basis": "exact_name", "observed_at": "2026-09-07 16:06:38.057732+00:00", "courses": { "course_32bc831d31cf0c1254ddaf8d": { "review_count": 56, "quality": 1.64, "difficulty": 2.79, "quality_count": 56, "difficulty_count": 56 }, "course_9a1a7bf1933981bcbaca47ac": { "review_count": 13, "quality": 1.92, "difficulty": 3.77, "quality_count": 13, "difficulty_count": 13 } }, "bayesian_quality": 2.14037882776328, "prior_mean": 3.6596857835465957, "prior_weight": 20 }, "instructor_url": "/instructors/SCOTT_SWANSON" } ] ``` ### offerings ```json [ { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "offering_id": "1272:266:011630", "course_id": "COMPSCI/MATH 240", "course_uid": "course_9a1a7bf1933981bcbaca47ac", "term_id": "1272", "source_course_id": "011630", "source_subject_id": "266", "title": "Introduction to Discrete Mathematics", "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": "1272:600:011630", "course_id": "COMPSCI/MATH 240", "course_uid": "course_9a1a7bf1933981bcbaca47ac", "term_id": "1272", "source_course_id": "011630", "source_subject_id": "600", "title": "Introduction to Discrete Mathematics", "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:1272:35543", "term_id": "1272", "source_section_id": "35543", "identity_basis": "class_number", "section_number": "001", "section_type": "LEC", "instruction_mode": "Classroom Instruction", "capacity": 160, "enrolled": 100, "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:1272:35544", "term_id": "1272", "source_section_id": "35544", "identity_basis": "class_number", "section_number": "002", "section_type": "LEC", "instruction_mode": "Classroom Instruction", "capacity": 180, "enrolled": 123, "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:1272:35545", "term_id": "1272", "source_section_id": "35545", "identity_basis": "class_number", "section_number": "003", "section_type": "LEC", "instruction_mode": "Classroom Instruction", "capacity": 160, "enrolled": 90, "waitlisted": 0, "start_date": "2026-09-02 05:00:00+00:00", "end_date": 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"difficulty": 3.37, "quality_count": 27, "difficulty_count": 27 }, "course_37a551eb9007bebe6a41c6b3": { "review_count": 1, "quality": 5, "difficulty": 1, "quality_count": 1, "difficulty_count": 1 } }, "bayesian_quality": 4.192745035891973, "prior_mean": 3.6596857835465957, "prior_weight": 20 }, "instructor_url": "/instructors/BECK_HASTI" }, { "instructor_uid": "instructor_c665141c0f7a05fb7eb098ac", "source": "enrollment", "source_instructor_id": "saswanson", "identity_basis": "netid", "identity_status": "source_identified", "name": "Scott Swanson", "email": "SCOTT.SWANSON@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": 69, "quality": 1.7, "difficulty": 2.97, "quality_count": 69, "difficulty_count": 69, "profile_id": "rmp:2823898", "source_url": "https://www.ratemyprofessors.com/professor/2823898", "match_basis": "exact_name", "observed_at": "2026-09-07 16:06:38.057732+00:00", 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"credit": 0, "no_credit": 0, "passed": 0, "incomplete": 18, "no_work": 0, "not_reported": 0, "other": 0, "total": 487, "source_aliases": [ "COMPSCI/MATH 240" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "COMPSCI/MATH 240", "course_uid": "course_9a1a7bf1933981bcbaca47ac", "term_id": "1244", "term_name": "Spring 2024", "instructors": [ "LUKE JEFFREYS", "Mikhail Ivanov" ], "a": 176, "ab": 76, "b": 214, "bc": 73, "c": 50, "d": 5, "f": 5, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 2, "no_work": 0, "not_reported": 0, "other": 0, "total": 601, "source_aliases": [ "COMPSCI/MATH 240" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "COMPSCI/MATH 240", "course_uid": "course_9a1a7bf1933981bcbaca47ac", "term_id": "1252", "term_name": "Fall 2024", "instructors": [ "Beck Hasti", "Scott Swanson" ], "a": 137, "ab": 110, "b": 202, "bc": 102, "c": 45, "d": 5, "f": 3, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 1, "no_work": 0, "not_reported": 0, "other": 0, "total": 605, "source_aliases": [ "COMPSCI/MATH 240" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "COMPSCI/MATH 240", "course_uid": "course_9a1a7bf1933981bcbaca47ac", "term_id": "1254", "term_name": "Spring 2025", "instructors": [ "Mitch Keller" ], "a": 211, "ab": 94, "b": 77, "bc": 85, "c": 53, "d": 19, "f": 8, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 8, "no_work": 0, "not_reported": 0, "other": 0, "total": 555, "source_aliases": [ "COMPSCI/MATH 240" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "COMPSCI/MATH 240", "course_uid": "course_9a1a7bf1933981bcbaca47ac", "term_id": "1262", "term_name": "Fall 2025", "instructors": [ "Beck Hasti", "Scott Swanson" ], "a": 111, "ab": 63, "b": 182, "bc": 113, "c": 55, "d": 9, "f": 5, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 2, "no_work": 0, "not_reported": 0, "other": 0, "total": 540, "source_aliases": [ "COMPSCI/MATH 240" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "COMPSCI/MATH 240", "course_uid": "course_9a1a7bf1933981bcbaca47ac", "term_id": "1264", "term_name": "Spring 2026", "instructors": [ "Botong Wang", "Isabella Scott" ], "a": 194, "ab": 91, "b": 54, "bc": 40, "c": 21, "d": 6, "f": 7, "satisfactory": 1, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 5, "no_work": 0, "not_reported": 0, "other": 0, "total": 419, "source_aliases": [ "COMPSCI/MATH 240" ] } ] ``` ### statistics #### gpa 3.087 #### graded 11418 #### counts * 3140 * 1753 * 3430 * 1605 * 965 * 325 * 200 ### grade conflicts None recorded. ### evidence #### history * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course\_9a1a7bf1933981bcbaca47ac-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course_9a1a7bf1933981bcbaca47ac-0.json) #### traces * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course\_9a1a7bf1933981bcbaca47ac-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course_9a1a7bf1933981bcbaca47ac-0.json) #### reviews * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/reviews/course\_9a1a7bf1933981bcbaca47ac-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/reviews/course_9a1a7bf1933981bcbaca47ac-0.json) #### meetings * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/meetings/course\_9a1a7bf1933981bcbaca47ac-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/meetings/course_9a1a7bf1933981bcbaca47ac-0.json) #### results * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course\_9a1a7bf1933981bcbaca47ac-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course_9a1a7bf1933981bcbaca47ac-0.json) ### revision e243353dcb7d79b7247ced91d69443ef4c2a6349 ## context ### all #### term #### gpa 3.0874934314240674 #### count 11418 #### university ##### size 5784 ##### gpa Percentile 3 ##### count Percentile 99 ##### 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": 6, "countPercentile": 98, "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": 18, "countPercentile": 95, "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 } ] } } ] ``` ### terms #### 1072 ##### term 1072 ##### gpa 2.6633663366336635 ##### count 101 ##### university ###### size 723 ###### gpa Percentile 3 ###### count Percentile 68 ###### 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 | 62 | true | | 2.8–3.2 | 174 | false | | 3.2–3.6 | 306 | false | | 3.6–4.0 | 180 | false | ##### departments ```json [ { "subject": "COMPSCI", "comparison": { "size": 13, "gpaPercentile": 8, "countPercentile": 83, "medianCount": 60, "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": 6, "current": false }, { "range": "3.2–3.6", "count": 4, "current": false }, { "range": "3.6–4.0", "count": 0, "current": false } ] } }, { "subject": "MATH", "comparison": { "size": 21, "gpaPercentile": 25, "countPercentile": 40, "medianCount": 115, "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": 10, "current": true }, { "range": "2.8–3.2", "count": 6, "current": false }, { "range": "3.2–3.6", "count": 3, "current": false }, { "range": "3.6–4.0", "count": 1, "current": false } ] } } ] ``` #### 1074 ##### term 1074 ##### gpa 2.782608695652174 ##### count 69 ##### university ###### size 695 ###### gpa Percentile 7 ###### count Percentile 50 ###### 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 | 3 | false | | 2.4–2.8 | 53 | true | | 2.8–3.2 | 184 | false | | 3.2–3.6 | 256 | false | | 3.6–4.0 | 199 | false | ##### departments ```json [ { "subject": "COMPSCI", "comparison": { "size": 13, "gpaPercentile": 8, "countPercentile": 83, "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": 2, "current": true }, { "range": "2.8–3.2", "count": 6, "current": false }, { "range": "3.2–3.6", "count": 5, "current": false }, { "range": "3.6–4.0", "count": 0, "current": false } ] } }, { "subject": "MATH", "comparison": { "size": 17, "gpaPercentile": 56, "countPercentile": 19, "medianCount": 133, "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": 3, "current": false }, { "range": "2.4–2.8", "count": 8, "current": true }, { "range": "2.8–3.2", "count": 3, "current": false }, { "range": "3.2–3.6", "count": 2, "current": false }, { "range": "3.6–4.0", "count": 1, "current": false } ] } } ] ``` #### 1082 ##### term 1082 ##### gpa 2.990566037735849 ##### count 106 ##### university ###### size 723 ###### gpa Percentile 18 ###### count Percentile 69 ###### 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": 29, "countPercentile": 86, "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": 63, "countPercentile": 37, "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 } ] } } ] ``` #### 1084 ##### term 1084 ##### gpa 2.936619718309859 ##### count 71 ##### university ###### size 720 ###### gpa Percentile 13 ###### count Percentile 51 ###### 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 | 45 | false | | 2.8–3.2 | 207 | true | | 3.2–3.6 | 248 | false | | 3.6–4.0 | 217 | false | ##### departments ```json [ { "subject": "COMPSCI", "comparison": { "size": 14, "gpaPercentile": 15, "countPercentile": 62, "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": 1, "current": false }, { "range": "2.8–3.2", "count": 9, "current": true }, { "range": "3.2–3.6", "count": 2, "current": false }, { "range": "3.6–4.0", "count": 2, "current": false } ] } }, { "subject": "MATH", "comparison": { "size": 22, "gpaPercentile": 52, "countPercentile": 43, "medianCount": 88.5, "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": 5, "current": false }, { "range": "2.8–3.2", "count": 9, "current": true }, { "range": "3.2–3.6", "count": 4, "current": false }, { "range": "3.6–4.0", "count": 2, "current": false } ] } } ] ``` #### 1092 ##### term 1092 ##### gpa 3.047794117647059 ##### count 136 ##### university ###### size 732 ###### gpa Percentile 21 ###### count Percentile 76 ###### 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 | 41 | false | | 2.8–3.2 | 208 | true | | 3.2–3.6 | 271 | false | | 3.6–4.0 | 211 | false | ##### departments ```json [ { "subject": "COMPSCI", "comparison": { "size": 16, "gpaPercentile": 47, "countPercentile": 87, "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": 11, "current": true }, { "range": "3.2–3.6", "count": 4, "current": false }, { "range": "3.6–4.0", "count": 1, "current": false } ] } }, { "subject": "MATH", "comparison": { "size": 22, "gpaPercentile": 71, "countPercentile": 57, "medianCount": 131, "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": 10, "current": true }, { "range": "3.2–3.6", "count": 1, "current": false }, { "range": "3.6–4.0", "count": 1, "current": false } ] } } ] ``` #### 1094 ##### term 1094 ##### gpa 2.7686567164179103 ##### count 67 ##### university ###### size 758 ###### gpa Percentile 4 ###### count Percentile 47 ###### median Count 71 ###### 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 | 35 | true | | 2.8–3.2 | 226 | false | | 3.2–3.6 | 259 | false | | 3.6–4.0 | 236 | false | ##### departments ```json [ { "subject": "COMPSCI", "comparison": { "size": 16, "gpaPercentile": 7, "countPercentile": 47, "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": 2, "current": true }, { "range": "2.8–3.2", "count": 8, "current": false }, { "range": "3.2–3.6", "count": 4, "current": false }, { "range": "3.6–4.0", "count": 2, "current": false } ] } }, { "subject": "MATH", "comparison": { "size": 19, "gpaPercentile": 33, "countPercentile": 28, "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": 1, "current": false }, { "range": "2.4–2.8", "count": 6, "current": true }, { "range": "2.8–3.2", "count": 10, "current": false }, { "range": "3.2–3.6", "count": 2, "current": false }, { "range": "3.6–4.0", "count": 0, "current": false } ] } } ] ``` #### 1102 ##### term 1102 ##### gpa 3.024193548387097 ##### count 124 ##### university ###### size 774 ###### gpa Percentile 20 ###### count Percentile 75 ###### 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 | true | | 3.2–3.6 | 287 | false | | 3.6–4.0 | 235 | false | ##### departments ```json [ { "subject": "COMPSCI", "comparison": { "size": 19, "gpaPercentile": 28, "countPercentile": 94, "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": true }, { "range": "3.2–3.6", "count": 7, "current": false }, { "range": "3.6–4.0", "count": 1, "current": false } ] } }, { "subject": "MATH", "comparison": { "size": 27, "gpaPercentile": 65, "countPercentile": 62, "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": true }, { "range": "3.2–3.6", "count": 7, "current": false }, { "range": "3.6–4.0", "count": 0, "current": false } ] } } ] ``` #### 1104 ##### term 1104 ##### gpa 3.198717948717949 ##### count 78 ##### university ###### size 793 ###### gpa Percentile 32 ###### count Percentile 57 ###### 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 | 4 | false | | 2.4–2.8 | 49 | false | | 2.8–3.2 | 205 | true | | 3.2–3.6 | 294 | false | | 3.6–4.0 | 241 | false | ##### departments ```json [ { "subject": "COMPSCI", "comparison": { "size": 22, "gpaPercentile": 62, "countPercentile": 81, "medianCount": 51.5, "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": 3, "current": false }, { "range": "2.8–3.2", "count": 11, "current": true }, { "range": "3.2–3.6", "count": 3, "current": false }, { "range": "3.6–4.0", "count": 5, "current": false } ] } }, { "subject": "MATH", "comparison": { "size": 23, "gpaPercentile": 82, "countPercentile": 41, "medianCount": 98, "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": 3, "current": false }, { "range": "2.4–2.8", "count": 6, "current": false }, { "range": "2.8–3.2", "count": 10, "current": true }, { "range": "3.2–3.6", "count": 3, "current": false }, { "range": "3.6–4.0", "count": 1, "current": false } ] } } ] ``` #### 1112 ##### term 1112 ##### gpa 3.351063829787234 ##### count 94 ##### university ###### size 805 ###### gpa Percentile 48 ###### count Percentile 66 ###### 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 | false | | 3.2–3.6 | 316 | true | | 3.6–4.0 | 225 | false | ##### departments ```json [ { "subject": "COMPSCI", "comparison": { "size": 27, "gpaPercentile": 58, "countPercentile": 81, "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": false }, { "range": "3.2–3.6", "count": 10, "current": true }, { "range": "3.6–4.0", "count": 6, "current": false } ] } }, { "subject": "MATH", "comparison": { "size": 26, "gpaPercentile": 88, "countPercentile": 52, "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": false }, { "range": "3.2–3.6", "count": 5, "current": true }, { "range": "3.6–4.0", "count": 1, "current": false } ] } } ] ``` #### 1114 ##### term 1114 ##### gpa 3.0483870967741935 ##### count 93 ##### university ###### size 804 ###### gpa Percentile 23 ###### count Percentile 66 ###### 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": 24, "countPercentile": 65, "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": 64, "countPercentile": 56, "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 } ] } } ] ``` #### 1122 ##### term 1122 ##### gpa 3.036290322580645 ##### count 124 ##### university ###### size 804 ###### gpa Percentile 20 ###### count Percentile 76 ###### 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 | true | | 3.2–3.6 | 282 | false | | 3.6–4.0 | 248 | false | ##### departments ```json [ { "subject": "COMPSCI", "comparison": { "size": 20, "gpaPercentile": 21, "countPercentile": 89, "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": true }, { "range": "3.2–3.6", "count": 8, "current": false }, { "range": "3.6–4.0", "count": 1, "current": false } ] } }, { "subject": "MATH", "comparison": { "size": 27, "gpaPercentile": 62, "countPercentile": 62, "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": true }, { "range": "3.2–3.6", "count": 3, "current": false }, { "range": "3.6–4.0", "count": 0, "current": false } ] } } ] ``` #### 1124 ##### term 1124 ##### gpa 2.5987654320987654 ##### count 162 ##### university ###### size 821 ###### gpa Percentile 1 ###### count Percentile 85 ###### 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": 0, "countPercentile": 95, "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": 11, "countPercentile": 70, "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 } ] } } ] ``` #### 1132 ##### term 1132 ##### gpa 2.983009708737864 ##### count 206 ##### university ###### size 851 ###### gpa Percentile 14 ###### count Percentile 89 ###### 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 | 40 | false | | 2.8–3.2 | 234 | true | | 3.2–3.6 | 303 | false | | 3.6–4.0 | 272 | false | ##### departments ```json [ { "subject": "COMPSCI", "comparison": { "size": 23, "gpaPercentile": 14, "countPercentile": 100, "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": 11, "current": true }, { "range": "3.2–3.6", "count": 8, "current": false }, { "range": "3.6–4.0", "count": 3, "current": false } ] } }, { "subject": "MATH", "comparison": { "size": 25, "gpaPercentile": 58, "countPercentile": 71, "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": 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": 4, "current": false }, { "range": "3.6–4.0", "count": 0, "current": false } ] } } ] ``` #### 1134 ##### term 1134 ##### gpa 2.491596638655462 ##### count 119 ##### university ###### size 852 ###### gpa Percentile 1 ###### 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 | 30 | true | | 2.8–3.2 | 229 | false | | 3.2–3.6 | 304 | false | | 3.6–4.0 | 287 | false | ##### departments ```json [ { "subject": "COMPSCI", "comparison": { "size": 22, "gpaPercentile": 0, "countPercentile": 76, "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": true }, { "range": "2.8–3.2", "count": 9, "current": false }, { "range": "3.2–3.6", "count": 9, "current": false }, { "range": "3.6–4.0", "count": 3, "current": false } ] } }, { "subject": "MATH", "comparison": { "size": 26, "gpaPercentile": 4, "countPercentile": 56, "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": true }, { "range": "2.8–3.2", "count": 19, "current": false }, { "range": "3.2–3.6", "count": 3, "current": false }, { "range": "3.6–4.0", "count": 0, "current": false } ] } } ] ``` #### 1142 ##### term 1142 ##### gpa 2.8125 ##### count 200 ##### university ###### size 853 ###### gpa Percentile 5 ###### count Percentile 88 ###### 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": 0, "countPercentile": 96, "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": 37, "countPercentile": 70, "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 } ] } } ] ``` #### 1144 ##### term 1144 ##### gpa 3.1495726495726495 ##### count 234 ##### university ###### size 878 ###### gpa Percentile 26 ###### count Percentile 92 ###### 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": 36, "countPercentile": 96, "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": 83, "countPercentile": 76, "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 } ] } } ] ``` #### 1152 ##### term 1152 ##### gpa 3.422178988326848 ##### count 257 ##### university ###### size 918 ###### gpa Percentile 52 ###### count Percentile 92 ###### 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 | false | | 3.2–3.6 | 371 | true | | 3.6–4.0 | 286 | false | ##### departments ```json [ { "subject": "COMPSCI", "comparison": { "size": 30, "gpaPercentile": 59, "countPercentile": 97, "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": false }, { "range": "3.2–3.6", "count": 11, "current": true }, { "range": "3.6–4.0", "count": 8, "current": false } ] } }, { "subject": "MATH", "comparison": { "size": 34, "gpaPercentile": 85, "countPercentile": 79, "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": false }, { "range": "3.2–3.6", "count": 9, "current": true }, { "range": "3.6–4.0", "count": 4, "current": false } ] } } ] ``` #### 1154 ##### term 1154 ##### gpa 2.928909952606635 ##### count 211 ##### university ###### size 935 ###### gpa Percentile 10 ###### count Percentile 91 ###### 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": 10, "countPercentile": 87, "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": 47, "countPercentile": 81, "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 } ] } } ] ``` #### 1162 ##### term 1162 ##### gpa 3.142570281124498 ##### count 249 ##### university ###### size 954 ###### gpa Percentile 23 ###### count Percentile 92 ###### 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": 35, "countPercentile": 91, "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": 66, "countPercentile": 80, "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 } ] } } ] ``` #### 1164 ##### term 1164 ##### gpa 2.5973451327433628 ##### count 226 ##### university ###### size 965 ###### gpa Percentile 1 ###### count Percentile 92 ###### 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 | true | | 2.8–3.2 | 216 | false | | 3.2–3.6 | 319 | false | | 3.6–4.0 | 390 | false | ##### departments ```json [ { "subject": "COMPSCI", "comparison": { "size": 32, "gpaPercentile": 3, "countPercentile": 90, "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": true }, { "range": "2.8–3.2", "count": 9, "current": false }, { "range": "3.2–3.6", "count": 12, "current": false }, { "range": "3.6–4.0", "count": 7, "current": false } ] } }, { "subject": "MATH", "comparison": { "size": 32, "gpaPercentile": 10, "countPercentile": 81, "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": 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": 3, "current": false } ] } } ] ``` #### 1172 ##### term 1172 ##### gpa 3.0940721649484537 ##### count 388 ##### university ###### size 991 ###### gpa Percentile 17 ###### count Percentile 95 ###### 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 | true | | 3.2–3.6 | 353 | false | | 3.6–4.0 | 390 | false | ##### departments ```json [ { "subject": "COMPSCI", "comparison": { "size": 31, "gpaPercentile": 33, "countPercentile": 97, "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": true }, { "range": "3.2–3.6", "count": 6, "current": false }, { "range": "3.6–4.0", "count": 9, "current": false } ] } }, { "subject": "MATH", "comparison": { "size": 36, "gpaPercentile": 63, "countPercentile": 80, "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": true }, { "range": "3.2–3.6", "count": 8, "current": false }, { "range": "3.6–4.0", "count": 3, "current": false } ] } } ] ``` #### 1174 ##### term 1174 ##### gpa 3.1125 ##### count 240 ##### university ###### size 955 ###### gpa Percentile 19 ###### count Percentile 92 ###### 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": 34, "countPercentile": 79, "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": 71, "countPercentile": 81, "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 } ] } } ] ``` #### 1182 ##### term 1182 ##### gpa 3.0400890868596884 ##### count 449 ##### university ###### size 1025 ###### gpa Percentile 14 ###### count Percentile 97 ###### 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": 26, "countPercentile": 97, "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": 60, "countPercentile": 86, "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 } ] } } ] ``` #### 1184 ##### term 1184 ##### gpa 3.064655172413793 ##### count 232 ##### university ###### size 1010 ###### gpa Percentile 14 ###### count Percentile 91 ###### 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": 27, "countPercentile": 73, "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": 60, "countPercentile": 83, "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 } ] } } ] ``` #### 1192 ##### term 1192 ##### gpa 3.0673267326732674 ##### count 505 ##### university ###### size 1077 ###### gpa Percentile 13 ###### count Percentile 97 ###### 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": 30, "countPercentile": 92, "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": 63, "countPercentile": 89, "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 } ] } } ] ``` #### 1194 ##### term 1194 ##### gpa 3.037704918032787 ##### count 305 ##### university ###### size 1040 ###### gpa Percentile 12 ###### count Percentile 94 ###### 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": 24, "countPercentile": 84, "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": 51, "countPercentile": 84, "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 } ] } } ] ``` #### 1202 ##### term 1202 ##### gpa 3.059498956158664 ##### count 479 ##### university ###### size 1102 ###### gpa Percentile 11 ###### count Percentile 97 ###### 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": 20, "countPercentile": 90, "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": 49, "countPercentile": 87, "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 } ] } } ] ``` #### 1204 ##### term 1204 ##### gpa 3.4808823529411765 ##### count 340 ##### university ###### size 1012 ###### gpa Percentile 18 ###### count Percentile 96 ###### 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": 24, "countPercentile": 85, "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": 54, "countPercentile": 82, "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 } ] } } ] ``` #### 1212 ##### term 1212 ##### gpa 3.164490861618799 ##### count 383 ##### university ###### size 1111 ###### gpa Percentile 11 ###### count Percentile 95 ###### 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 | true | | 3.2–3.6 | 337 | false | | 3.6–4.0 | 611 | false | ##### departments ```json [ { "subject": "COMPSCI", "comparison": { "size": 42, "gpaPercentile": 22, "countPercentile": 83, "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": true }, { "range": "3.2–3.6", "count": 16, "current": false }, { "range": "3.6–4.0", "count": 14, "current": false } ] } }, { "subject": "MATH", "comparison": { "size": 41, "gpaPercentile": 40, "countPercentile": 83, "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": true }, { "range": "3.2–3.6", "count": 12, "current": false }, { "range": "3.6–4.0", "count": 9, "current": false } ] } } ] ``` #### 1222 ##### term 1222 ##### gpa 3.1313131313131315 ##### count 495 ##### university ###### size 1157 ###### gpa Percentile 12 ###### count Percentile 97 ###### 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": 16, "countPercentile": 89, "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": 39, "countPercentile": 84, "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 } ] } } ] ``` #### 1224 ##### term 1224 ##### gpa 3.028216704288939 ##### count 443 ##### university ###### size 1171 ###### gpa Percentile 8 ###### count Percentile 96 ###### 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": 5, "countPercentile": 89, "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": 27, "countPercentile": 82, "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 } ] } } ] ``` #### 1232 ##### term 1232 ##### gpa 3.145985401459854 ##### count 411 ##### university ###### size 1216 ###### gpa Percentile 12 ###### count Percentile 95 ###### 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": 16, "countPercentile": 84, "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": 50, "countPercentile": 83, "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 } ] } } ] ``` #### 1234 ##### term 1234 ##### gpa 3.0821812596006146 ##### count 651 ##### university ###### size 1188 ###### gpa Percentile 9 ###### count Percentile 98 ###### 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": 11, "countPercentile": 91, "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": 40, "countPercentile": 93, "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 } ] } } ] ``` #### 1242 ##### term 1242 ##### gpa 3.136460554371002 ##### count 469 ##### university ###### size 1295 ###### gpa Percentile 10 ###### count Percentile 96 ###### 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": 12, "countPercentile": 86, "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": 36, "countPercentile": 86, "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 } ] } } ] ``` #### 1244 ##### term 1244 ##### gpa 3.171118530884808 ##### count 599 ##### university ###### size 1241 ###### gpa Percentile 12 ###### count Percentile 98 ###### 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": 22, "countPercentile": 91, "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": 48, "countPercentile": 93, "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 } ] } } ] ``` #### 1252 ##### term 1252 ##### gpa 3.127483443708609 ##### count 604 ##### university ###### size 1333 ###### gpa Percentile 7 ###### count Percentile 98 ###### 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": 11, "countPercentile": 91, "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": 43, "countPercentile": 86, "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 } ] } } ] ``` #### 1254 ##### term 1254 ##### gpa 3.183729433272395 ##### count 547 ##### university ###### size 1289 ###### gpa Percentile 11 ###### count Percentile 98 ###### 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 | true | | 3.2–3.6 | 379 | false | | 3.6–4.0 | 765 | false | ##### departments ```json [ { "subject": "COMPSCI", "comparison": { "size": 52, "gpaPercentile": 18, "countPercentile": 88, "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": true }, { "range": "3.2–3.6", "count": 24, "current": false }, { "range": "3.6–4.0", "count": 17, "current": false } ] } }, { "subject": "MATH", "comparison": { "size": 39, "gpaPercentile": 55, "countPercentile": 87, "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": true }, { "range": "3.2–3.6", "count": 13, "current": false }, { "range": "3.6–4.0", "count": 4, "current": false } ] } } ] ``` #### 1262 ##### term 1262 ##### gpa 2.996282527881041 ##### count 538 ##### university ###### size 1320 ###### gpa Percentile 4 ###### count Percentile 97 ###### 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": 6, "countPercentile": 87, "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": 29, "countPercentile": 81, "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 } ] } } ] ``` #### 1264 ##### term 1264 ##### gpa 3.400726392251816 ##### count 413 ##### university ###### size 1283 ###### gpa Percentile 22 ###### count Percentile 95 ###### 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": 38, "countPercentile": 81, "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": 80, "countPercentile": 85, "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 } ] } } ] ``` ### 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 #### 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 ##### 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 ##### 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 ##### 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 ##### 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 ##### 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 ##### 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 ##### 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 ##### 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 ##### 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 ##### 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 ##### 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 ##### 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 ##### 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 ##### 1152 ###### school ###### size 918 ###### gpa 3.408733538594633 ###### top Share 66.06693005846735 ###### 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"instructor_1e2db195ddc1c738640cea95", "name": "MARIYA SOSKOVA", "count": 90, "terms": [ { "term": "1184", "count": 90, "sections": 1, "gpa": 3.0555555555555554 } ] }, { "uid": "instructor_b050e0cedfd0ba0a495a860a", "name": "HAROLD OGROSKY", "count": 85, "terms": [ { "term": "1144", "count": 85, "sections": 1, "gpa": 3.011764705882353 } ] }, { "uid": "instructor_61225c0eff5b70a15f7b6618", "name": "ARNOLD W MILLER", "count": 71, "terms": [ { "term": "1084", "count": 71, "sections": 1, "gpa": 2.936619718309859 } ] }, { "uid": "instructor_e930b3f6ec9d1140d6f286c3", "name": "SERGUEI DENISSOV", "count": 67, "terms": [ { "term": "1094", "count": 67, "sections": 1, "gpa": 2.7686567164179103 } ] }, { "uid": "instructor_1e24f94aea20e0aa140b0f04", "name": "RICHARD A BRUALDI", "count": 56, "terms": [ { "term": "1072", "count": 56, "sections": 1, "gpa": 2.6964285714285716 } ] }, { "uid": "instructor_59aac856cf6ad4bb42c17bff", "name": "ANDREI CALDARARU", "count": 55, "terms": [ { "term": "1124", "count": 55, "sections": 1, "gpa": 2.6636363636363636 } ] }, { "uid": "instructor_b08630f76df8e48521e6a586", "name": "JIN-YI CAI", "count": 45, "terms": [ { "term": "1072", "count": 45, "sections": 1, "gpa": 2.6222222222222222 } ] } ] ``` ## following | code | title | | ----------- | ----------------------------------- | | COMPSCI 520 | INTRODUCTION TO THEORY OF COMPUTING | | COMPSCI 550 | ALGORITHMIC GAME THEORY & LEARNING | | COMPSCI 577 | INTRODUCTION TO ALGORITHMS | | MATH 461 | COLLEGE GEOMETRY I | | MATH 467 | INTRODUCTION TO NUMBER THEORY | ## projection ### target 1272 ### interval #### lower 2.95 #### upper 3.24 #### coverage 80 #### terms 8 ### gpa 3.093447888439634 ### grades | grade | percentage | | ----- | ------------------ | | A | 25.186415759616516 | | AB | 13.243829050933757 | | B | 33.09913079110058 | | BC | 18.86980513771012 | | C | 7.279735236915442 | | D | 1.2143484358212515 | | F | 1.1067355879023302 | ### source Terms * 1262 * 1252 * 1242 * 1232 * 1222 ### source Count 2517 ### same Season true ### historical Range * 2.9962825278810405 * 3.1459854014598543 ### backtest #### terms 8 #### gpa Error 0.053451282222506724 #### mix Error 7.02608450424749