# COMPSCI/ISYE/MATH/STAT 726: Nonlinear Optimization I | UW–Madison [View on UW Courses](https://uwcourses.com/courses/COMPSCI_ISYE_MATH_STAT_726) ## Dataset ### revision e243353dcb7d79b7247ced91d69443ef4c2a6349 ### repository twangodev/uwcourses ### schema version 6 ### importer version 7 ### projection id 94468b7d4154126ca413937bb4738a6d21e0c2277f6fa397a6078ad80a32384f ### observed at 2026-09-07T15:55:43.033547+00:00 ### built at 2026-09-10T23:19:01.870283+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 2cded20424b2cdbd9eef5df3d1748449ed795e9f579f718322e9908956d06b21 ### course id COMPSCI/ISYE/MATH/STAT 726 ### course uid course\_639b02029dbf953b9704cd63 ### catalog version id 3ffb1c2e239c93a18469051fc9647560bb2ded9d8fc21e4fe170808dea6fe6f8 ### course number 726 ### subjects * COMPSCI * ISYE * MATH * STAT ### title NONLINEAR OPTIMIZATION I ### description Theory and algorithms for nonlinear optimization, focusing on unconstrained optimization. Line-search and trust-region methods; quasi-Newton methods; conjugate-gradient and limited-memory methods for large-scale problems; derivative-free optimization; algorithms for least-squares problems and nonlinear equations; gradient projection algorithms for bound-constrained problems; and simple penalty methods for nonlinearly constrained optimization. Students are strongly encouraged to have knowledge of linear algebra and familiarity with basic mathematical analysis. ### requirements text Graduate/professional standing ### credits min 3 ### credits max 3 ### credit offering ids * 1272:266:004313 * 1272:490:004313 * 1272:600:004313 * 1272:932:004313 ### llm job id enrich-f516c4d3e82cfe326b4f5f54 ### llm output id 7b0282339fffb829d73ca99df7075cd7db2b845b000c184b71e9bc77620efc8c ### llm model nvidia/Qwen3.6-35B-A3B-NVFP4 ### llm model revision 1355db6a052410cfd62085d94b58866fd0f2c3c5 ### llm task version 14 ### llm search status valid ### llm summary Covers theory and algorithms for nonlinear optimization, focusing on unconstrained methods like quasi-Newton and trust-region techniques. ### llm topics * Unconstrained optimization * Bound-constrained optimization * Nonlinearly constrained optimization * Least-squares problems * Nonlinear equations ### llm skills * Nonlinear optimization theory and algorithms * Line-search and trust-region methods * Quasi-Newton methods * Conjugate-gradient and limited-memory methods * Derivative-free optimization * Least-squares and nonlinear equation algorithms * Gradient projection algorithms * Penalty methods for constrained optimization ### llm assumed background * Linear algebra and basic mathematical analysis ### llm search phrases * nonlinear optimization algorithms * unconstrained optimization methods * quasi-Newton methods * trust-region methods * large-scale optimization ### llm requirements status valid ### llm student summary status valid ### llm experience status valid ### catalog variants None recorded. ### student summary #### context hash 885876d967daa5897ead55e82c142794730c556336c085e1fd56c0222e3f8bda #### course id COMPSCI/ISYE/MATH/STAT 726 #### current instructors ```json [ { "instructor_uid": "instructor_a270e82be07bd3a275f6e005", "message": null, "name": "Stephen Wright", "review_status": "supported", "rmp_instructor_id": "rmp:1895834", "summary": [ { "citations": [ { "instructor_name": "Stephen Wright", "review_date": "2018-05-14 18:44:02 +0000 UTC", "review_id": "d3d89b29af16733c1c770fb9", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:1895834", "source_review_id": "UmF0aW5nLTMwMTA0MjAw", "source_url": "https://www.ratemyprofessors.com/professor/1895834", "type": "review" } ], "text": "Stephen Wright is respected and uses his textbooks for lectures, aiding review. However, reviewers note harsh assignment grading and limited office hour responsiveness." }, { "citations": [ { "instructor_name": "Stephen Wright", "review_date": "2019-12-14 19:00:26 +0000 UTC", "review_id": "9b91b822745c708625b5b0ec", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:1895834", "source_review_id": "UmF0aW5nLTMyNjU5MDI2", "source_url": "https://www.ratemyprofessors.com/professor/1895834", "type": "review" } ], "text": "Wright’s lectures focus on rigor over intuition, often transcribing the textbook. Reviewers criticize poor logistics, missing grading criteria, and the course's notorious difficulty." }, { "citations": [ { "course_id": "COMPSCI/ISYE/MATH/STAT 726", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "a99470fb-87a9-33ab-9076-a15d5e3c4788", "source_record": { "entity_id": "a99470fb-87a9-33ab-9076-a15d5e3c4788", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1172", "type": "grade" }, { "course_id": "COMPSCI/ISYE/MATH/STAT 726", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "a99470fb-87a9-33ab-9076-a15d5e3c4788", "source_record": { "entity_id": "a99470fb-87a9-33ab-9076-a15d5e3c4788", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1184", "type": "grade" }, { "course_id": "COMPSCI/ISYE/MATH/STAT 726", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "a99470fb-87a9-33ab-9076-a15d5e3c4788", "source_record": { "entity_id": "a99470fb-87a9-33ab-9076-a15d5e3c4788", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1202", "type": "grade" } ], "text": "Recent recorded grades — Fall 2016: 3.38 GPA, 66.0% A/AB (n=47 letter grades); Spring 2018: 3.16 GPA, 50.0% A/AB (n=38 letter grades); Fall 2019: 3.39 GPA, 69.0% A/AB (n=42 letter grades)." } ] } ] ``` #### difficulty workload Assignments are graded harshly, and the course is notoriously difficult, requiring significant preparation to keep up with the rigorous material. ```json { "citations": [ { "instructor_name": "Stephen Wright", "review_date": "2018-05-14 18:44:02 +0000 UTC", "review_id": "d3d89b29af16733c1c770fb9", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:1895834", "source_review_id": "UmF0aW5nLTMwMTA0MjAw", "source_url": "https://www.ratemyprofessors.com/professor/1895834", "type": "review" }, { "instructor_name": "Stephen Wright", "review_date": "2019-12-14 19:00:26 +0000 UTC", "review_id": "9b91b822745c708625b5b0ec", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:1895834", "source_review_id": "UmF0aW5nLTMyNjU5MDI2", "source_url": "https://www.ratemyprofessors.com/professor/1895834", "type": "review" } ] } ``` #### errors None recorded. #### historical context Historical reviews of Michael Ferris: Stephen Wright is the current instructor, but available reviews describe Michael Ferris. Ferris provided good office hours and reasonable exam weight, yet his lectures were criticized as dull and poorly organized. Students found slides confusing and homework extremely time-consuming, often exceeding 14 hours per assignment. ```json { "citations": [ { "instructor_name": "Michael Ferris", "review_date": "2021-11-06 18:33:15 +0000 UTC", "review_id": "ab46a5b31853079dc7b44fcb", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:926803", "source_review_id": "UmF0aW5nLTM1MjAwMjk0", "source_url": "https://www.ratemyprofessors.com/professor/926803", "type": "review" }, { "instructor_name": "Michael Ferris", "review_date": "2022-05-17 06:14:49 +0000 UTC", "review_id": "35377442699b530f4724abb7", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:926803", "source_review_id": "UmF0aW5nLTM2MzU2NjMz", "source_url": "https://www.ratemyprofessors.com/professor/926803", "type": "review" } ] } ``` #### offered true #### profile hash e59ddc7389015d0035b68cd195c939d475bf72b959b29cf12eab59b454ccaef1 #### quick take Stephen Wright is a respected author whose textbook-based lectures aid review, but students report harsh grading, poor logistics, and a focus on rigor over intuition. ```json { "citations": [ { "instructor_name": "Stephen Wright", "review_date": "2018-05-14 18:44:02 +0000 UTC", "review_id": "d3d89b29af16733c1c770fb9", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:1895834", "source_review_id": "UmF0aW5nLTMwMTA0MjAw", "source_url": "https://www.ratemyprofessors.com/professor/1895834", "type": "review" }, { "instructor_name": "Stephen Wright", "review_date": "2019-12-14 19:00:26 +0000 UTC", "review_id": "9b91b822745c708625b5b0ec", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:1895834", "source_review_id": "UmF0aW5nLTMyNjU5MDI2", "source_url": "https://www.ratemyprofessors.com/professor/1895834", "type": "review" } ] } ``` Recent recorded grades — Spring 2025: 3.31 GPA, 52.4% A/AB (n=21 letter grades); Fall 2025: 3.53 GPA, 78.1% A/AB (n=32 letter grades); Spring 2026: 3.35 GPA, 70.0% A/AB (n=20 letter grades). ```json { "citations": [ { "course_id": "COMPSCI/ISYE/MATH/STAT 726", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "a99470fb-87a9-33ab-9076-a15d5e3c4788", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1254", "type": "grade" }, { "course_id": "COMPSCI/ISYE/MATH/STAT 726", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "a99470fb-87a9-33ab-9076-a15d5e3c4788", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1262", "type": "grade" }, { "course_id": "COMPSCI/ISYE/MATH/STAT 726", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "a99470fb-87a9-33ab-9076-a15d5e3c4788", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1264", "type": "grade" } ] } ``` #### student experience Students find the lack of TA contact information and grading criteria frustrating, and note that the professor is not eager to answer questions during office hours. ```json { "citations": [ { "instructor_name": "Stephen Wright", "review_date": "2018-05-14 18:44:02 +0000 UTC", "review_id": "d3d89b29af16733c1c770fb9", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:1895834", "source_review_id": "UmF0aW5nLTMwMTA0MjAw", "source_url": "https://www.ratemyprofessors.com/professor/1895834", "type": "review" }, { "instructor_name": "Stephen Wright", "review_date": "2019-12-14 19:00:26 +0000 UTC", "review_id": "9b91b822745c708625b5b0ec", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:1895834", "source_review_id": "UmF0aW5nLTMyNjU5MDI2", "source_url": "https://www.ratemyprofessors.com/professor/1895834", "type": "review" } ] } ``` #### task hash 74fb0997943e888960bbc9e47db8c4fd12e4292d55c20509d8d89db6a9910f68 #### teaching history MICHAEL FERRIS is recorded teaching in Fall 2009, Fall 2011, Fall 2014, Fall 2015, Fall 2018, Spring 2022. Recorded history may be incomplete and does not establish a future schedule. ```json { "citations": [ { "course_id": "COMPSCI/ISYE/MATH/STAT 726", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "a99470fb-87a9-33ab-9076-a15d5e3c4788", "source_record": { "entity_id": "a99470fb-87a9-33ab-9076-a15d5e3c4788", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1102", "type": "grade" }, { "course_id": "COMPSCI/ISYE/MATH/STAT 726", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "a99470fb-87a9-33ab-9076-a15d5e3c4788", "source_record": { "entity_id": "a99470fb-87a9-33ab-9076-a15d5e3c4788", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1122", "type": "grade" }, { "course_id": "COMPSCI/ISYE/MATH/STAT 726", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "a99470fb-87a9-33ab-9076-a15d5e3c4788", "source_record": { "entity_id": "a99470fb-87a9-33ab-9076-a15d5e3c4788", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1152", "type": "grade" }, { "course_id": "COMPSCI/ISYE/MATH/STAT 726", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "a99470fb-87a9-33ab-9076-a15d5e3c4788", "source_record": { "entity_id": "a99470fb-87a9-33ab-9076-a15d5e3c4788", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1162", "type": "grade" }, { "course_id": "COMPSCI/ISYE/MATH/STAT 726", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "a99470fb-87a9-33ab-9076-a15d5e3c4788", "source_record": { "entity_id": "a99470fb-87a9-33ab-9076-a15d5e3c4788", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1192", "type": "grade" }, { "course_id": "COMPSCI/ISYE/MATH/STAT 726", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "a99470fb-87a9-33ab-9076-a15d5e3c4788", "source_record": { "entity_id": "a99470fb-87a9-33ab-9076-a15d5e3c4788", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1224", "type": "grade" } ] } ``` STEPHEN WRIGHT is recorded teaching in Fall 2006, Fall 2007, Fall 2008, Fall 2013, Fall 2016, Spring 2018, Fall 2019. Recorded history may be incomplete and does not establish a future schedule. ```json { "citations": [ { "course_id": "COMPSCI/ISYE/MATH/STAT 726", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "a99470fb-87a9-33ab-9076-a15d5e3c4788", "source_record": { "entity_id": "a99470fb-87a9-33ab-9076-a15d5e3c4788", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1072", "type": "grade" }, { "course_id": "COMPSCI/ISYE/MATH/STAT 726", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "a99470fb-87a9-33ab-9076-a15d5e3c4788", "source_record": { "entity_id": "a99470fb-87a9-33ab-9076-a15d5e3c4788", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1082", "type": "grade" }, { "course_id": "COMPSCI/ISYE/MATH/STAT 726", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "a99470fb-87a9-33ab-9076-a15d5e3c4788", "source_record": { "entity_id": "a99470fb-87a9-33ab-9076-a15d5e3c4788", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1092", "type": "grade" }, { "course_id": "COMPSCI/ISYE/MATH/STAT 726", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "a99470fb-87a9-33ab-9076-a15d5e3c4788", "source_record": { "entity_id": "a99470fb-87a9-33ab-9076-a15d5e3c4788", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1142", "type": "grade" }, { "course_id": "COMPSCI/ISYE/MATH/STAT 726", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "a99470fb-87a9-33ab-9076-a15d5e3c4788", "source_record": { "entity_id": "a99470fb-87a9-33ab-9076-a15d5e3c4788", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1172", "type": "grade" }, { "course_id": "COMPSCI/ISYE/MATH/STAT 726", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "a99470fb-87a9-33ab-9076-a15d5e3c4788", "source_record": { "entity_id": "a99470fb-87a9-33ab-9076-a15d5e3c4788", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1184", "type": "grade" }, { "course_id": "COMPSCI/ISYE/MATH/STAT 726", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "a99470fb-87a9-33ab-9076-a15d5e3c4788", "source_record": { "entity_id": "a99470fb-87a9-33ab-9076-a15d5e3c4788", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1202", "type": "grade" } ] } ``` #### term id 1272 #### term name 2026 Fall #### version 2 ### requirements #### nodes ```json [ { "children": [], "condition": "Graduate/professional standing", "course": null, "evidence": "Graduate/professional standing", "id": "n0", "kind": "condition" } ] ``` #### notes None recorded. #### root n0 #### status parsed ### instructors ```json [ { "instructor_uid": "instructor_a270e82be07bd3a275f6e005", "source": "enrollment", "source_instructor_id": "sjwright2", "identity_basis": "netid", "identity_status": "source_identified", "name": "Stephen Wright", "email": "SWRIGHT@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": 10, "quality": 4.2, "difficulty": 3.8, "quality_count": 10, "difficulty_count": 10, "profile_id": "rmp:1895834", "source_url": "https://www.ratemyprofessors.com/professor/1895834", "match_basis": "exact_name", "observed_at": "2026-09-07 16:04:47.624880+00:00", "courses": { "course_dd8d2094feb4657373e2e2f3": { "review_count": 3, "quality": 4.33, "difficulty": 4.33, "quality_count": 3, "difficulty_count": 3 }, "course_639b02029dbf953b9704cd63": { "review_count": 2, "quality": 3, "difficulty": 4.5, "quality_count": 2, "difficulty_count": 2 }, "course_a04e8d794b24e3b81b984774": { "review_count": 5, "quality": 4.6, "difficulty": 3.2, "quality_count": 5, "difficulty_count": 5 } }, "bayesian_quality": 3.839790522364397, "prior_mean": 3.6596857835465957, "prior_weight": 20 }, "instructor_url": "/instructors/STEPHEN_WRIGHT" } ] ``` ### offerings ```json [ { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "offering_id": "1272:266:004313", "course_id": "COMPSCI/ISYE/MATH/STAT 726", "course_uid": "course_639b02029dbf953b9704cd63", "term_id": "1272", "source_course_id": "004313", "source_subject_id": "266", "title": "Nonlinear Optimization I", "credits_min": 3, "credits_max": 3, "typically_offered": "Occasionally" }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "offering_id": "1272:490:004313", "course_id": "COMPSCI/ISYE/MATH/STAT 726", "course_uid": "course_639b02029dbf953b9704cd63", "term_id": "1272", "source_course_id": "004313", "source_subject_id": "490", "title": "Nonlinear Optimization I", "credits_min": 3, "credits_max": 3, "typically_offered": "Occasionally" }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "offering_id": "1272:600:004313", "course_id": "COMPSCI/ISYE/MATH/STAT 726", "course_uid": "course_639b02029dbf953b9704cd63", "term_id": "1272", "source_course_id": "004313", "source_subject_id": "600", "title": "Nonlinear Optimization I", "credits_min": 3, "credits_max": 3, "typically_offered": "Occasionally" }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "offering_id": "1272:932:004313", "course_id": "COMPSCI/ISYE/MATH/STAT 726", "course_uid": "course_639b02029dbf953b9704cd63", "term_id": "1272", "source_course_id": "004313", "source_subject_id": "932", "title": "Nonlinear Optimization I", "credits_min": 3, "credits_max": 3, "typically_offered": "Occasionally" } ] ``` ### sections ```json [ { "run_id": "20260907T155543-ce3781c4", "observed_at": "2026-09-07 15:55:43.033547+00:00", "section_uid": "uw-section:1272:35940", "term_id": "1272", "source_section_id": "35940", "identity_basis": "class_number", "section_number": "001", "section_type": "LEC", "instruction_mode": "Classroom Instruction", "capacity": 30, "enrolled": 13, "waitlisted": 12, "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:1272:32806", "term_id": "1272", "source_section_id": "32806", "identity_basis": "class_number", "section_number": "001", "section_type": "LEC", "instruction_mode": "Classroom Instruction", "capacity": 30, "enrolled": 1, "waitlisted": 2, "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:1272:32807", "term_id": "1272", "source_section_id": "32807", "identity_basis": "class_number", "section_number": "001", "section_type": "LEC", "instruction_mode": "Classroom Instruction", "capacity": 30, "enrolled": 11, "waitlisted": 7, "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:1272:32808", "term_id": "1272", "source_section_id": "32808", "identity_basis": "class_number", "section_number": "001", "section_type": "LEC", "instruction_mode": "Classroom Instruction", "capacity": 30, "enrolled": 3, "waitlisted": 1, "start_date": "2026-09-02 05:00:00+00:00", "end_date": "2026-12-09 06:00:00+00:00" } ] ``` ### grade instructors ```json [ { "instructor_uid": "instructor_4774e825ddfeb1206af6b54a", "source": "madgrades", "source_instructor_id": "3382451", "identity_basis": "source_id", "identity_status": "source_identified", "name": "STEPHEN WRIGHT", "email": null, "first_observed_at": "2026-09-06 23:14:58.172943+00:00", "last_observed_at": "2026-09-07 15:55:43.033547+00:00", "ratings": { "review_count": 10, "quality": 4.2, "difficulty": 3.8, "quality_count": 10, "difficulty_count": 10, "profile_id": "rmp:1895834", "source_url": "https://www.ratemyprofessors.com/professor/1895834", "match_basis": "exact_name", "observed_at": "2026-09-07 16:04:47.624880+00:00", "courses": { "course_dd8d2094feb4657373e2e2f3": { "review_count": 3, "quality": 4.33, "difficulty": 4.33, "quality_count": 3, "difficulty_count": 3 }, "course_639b02029dbf953b9704cd63": { "review_count": 2, "quality": 3, "difficulty": 4.5, "quality_count": 2, "difficulty_count": 2 }, "course_a04e8d794b24e3b81b984774": { "review_count": 5, "quality": 4.6, "difficulty": 3.2, "quality_count": 5, "difficulty_count": 5 } }, "bayesian_quality": 3.839790522364397, "prior_mean": 3.6596857835465957, "prior_weight": 20 }, "grade_statistics": { "gpa": 3.27, "graded": 1205, "counts": [ 481, 255, 234, 87, 80, 44, 24 ], "sections": 118 }, "instructor_url": "/instructors/STEPHEN_WRIGHT--instructor_4774e825ddfeb1206af6b54a" }, { "instructor_uid": "instructor_b2b79e8f7cf2014ccc109e83", "source": "madgrades", "source_instructor_id": "1114818", "identity_basis": "source_id", "identity_status": "source_identified", "name": "MICHAEL FERRIS", "email": null, "first_observed_at": "2026-09-06 23:14:58.172943+00:00", "last_observed_at": "2026-09-07 15:55:43.033547+00:00", "ratings": { "review_count": 23, "quality": 1.78, "difficulty": 4.39, "quality_count": 23, "difficulty_count": 23, "profile_id": "rmp:926803", "source_url": "https://www.ratemyprofessors.com/professor/926803", "match_basis": "exact_name", "observed_at": "2026-09-07 16:18:22.090012+00:00", "courses": { "course_dd8d2094feb4657373e2e2f3": { "review_count": 17, "quality": 1.71, "difficulty": 4.35, "quality_count": 17, "difficulty_count": 17 }, "course_639b02029dbf953b9704cd63": { "review_count": 2, "quality": 1.5, "difficulty": 4, "quality_count": 2, "difficulty_count": 2 }, "course_a04e8d794b24e3b81b984774": { "review_count": 4, "quality": 2.25, "difficulty": 4.75, "quality_count": 4, "difficulty_count": 4 } }, "bayesian_quality": 2.6542724574635326, "prior_mean": 3.6596857835465957, "prior_weight": 20 }, "grade_statistics": { "gpa": 3.119, "graded": 1154, "counts": [ 363, 258, 206, 154, 94, 53, 26 ], "sections": 137 }, "instructor_url": "/instructors/MICHAEL_FERRIS--instructor_b2b79e8f7cf2014ccc109e83" }, { "instructor_uid": "instructor_4107f43c1175fa1170f1b3c0", "source": "madgrades", "source_instructor_id": "4632211", "identity_basis": "source_id", "identity_status": "source_identified", "name": "BENJAMIN RECHT", "email": null, "first_observed_at": "2026-09-06 23:14:58.172943+00:00", "last_observed_at": "2026-09-07 15:55:43.033547+00:00", "grade_statistics": { "gpa": 3.35, "graded": 200, "counts": [ 102, 29, 37, 5, 14, 9, 4 ], "sections": 19 }, "instructor_url": "/instructors/BENJAMIN_RECHT" }, { "instructor_uid": "instructor_17b59f06cf84307dc1304a74", "source": "madgrades", "source_instructor_id": "6222482", "identity_basis": "source_id", "identity_status": "source_identified", "name": "CHEUK YIN LIN", "email": null, "first_observed_at": "2026-09-06 23:14:58.172943+00:00", "last_observed_at": "2026-09-07 15:55:43.033547+00:00", "grade_statistics": { "gpa": 3.529, "graded": 119, "counts": [ 52, 44, 12, 4, 6, 0, 1 ], "sections": 4 }, "instructor_url": "/instructors/CHEUK_YIN_LIN" }, { "instructor_uid": "instructor_6cfab09b3753fa080d13c29e", "source": "madgrades", "source_instructor_id": "6237401", "identity_basis": "source_id", "identity_status": "source_identified", "name": "JELENA DIAKONIKOLAS", "email": null, "first_observed_at": "2026-09-06 23:14:58.172943+00:00", "last_observed_at": "2026-09-07 15:55:43.033547+00:00", "grade_statistics": { "gpa": 3.599, "graded": 292, "counts": [ 161, 78, 31, 8, 8, 5, 1 ], "sections": 33 }, "instructor_url": "/instructors/JELENA_DIAKONIKOLAS--instructor_6cfab09b3753fa080d13c29e" }, { "instructor_uid": "instructor_9b666cf30fb7be84e75f5b96", "source": "madgrades", "source_instructor_id": "6188344", "identity_basis": "source_id", "identity_status": "source_identified", "name": "MINGCHEN MA", "email": null, "first_observed_at": "2026-09-06 23:14:58.172943+00:00", "last_observed_at": "2026-09-07 15:55:43.033547+00:00", "grade_statistics": { "gpa": 3.287, "graded": 82, "counts": [ 29, 17, 22, 6, 6, 1, 1 ], "sections": 2 }, "instructor_url": "/instructors/MINGCHEN_MA--instructor_9b666cf30fb7be84e75f5b96" }, { "instructor_uid": "instructor_62911799eb2ac18143bdf4f5", "source": "madgrades", "source_instructor_id": "6267959", "identity_basis": "source_id", "identity_status": "source_identified", "name": "PUQIAN WANG", "email": null, "first_observed_at": "2026-09-06 23:14:58.172943+00:00", "last_observed_at": "2026-09-07 15:55:43.033547+00:00", "grade_statistics": { "gpa": 3.485, "graded": 34, "counts": [ 10, 15, 7, 2, 0, 0, 0 ], "sections": 1 }, "instructor_url": "/instructors/PUQIAN_WANG" }, { "instructor_uid": "instructor_b404d4fd6d9d8852be5a5870", "source": "madgrades", "source_instructor_id": "4261031", "identity_basis": "source_id", "identity_status": "source_identified", "name": "YUDONG CHEN", "email": null, "first_observed_at": "2026-09-06 23:14:58.172943+00:00", "last_observed_at": "2026-09-07 15:55:43.033547+00:00", "ratings": { "review_count": 3, "quality": 3.67, "difficulty": 3.33, "quality_count": 3, "difficulty_count": 3, "profile_id": "rmp:3057885", "source_url": "https://www.ratemyprofessors.com/professor/3057885", "match_basis": "exact_name", "observed_at": "2026-09-07 15:57:24.844333+00:00", "courses": { "course_e0f984e8747ee9ccaba16d75": { "review_count": 3, "quality": 3.67, "difficulty": 3.33, "quality_count": 3, "difficulty_count": 3 } }, "bayesian_quality": 3.6610311161274747, "prior_mean": 3.6596857835465957, "prior_weight": 20 }, "grade_statistics": { "gpa": 3.472, "graded": 532, "counts": [ 213, 158, 112, 32, 12, 2, 3 ], "sections": 20 }, "instructor_url": "/instructors/YUDONG_CHEN--instructor_b404d4fd6d9d8852be5a5870" }, { "instructor_uid": "instructor_fad528decfa16fb8beeaa024", "source": "madgrades", "source_instructor_id": "6291456", "identity_basis": "source_id", "identity_status": "source_identified", "name": "YIMING LI", "email": null, "first_observed_at": "2026-09-06 23:14:58.172943+00:00", "last_observed_at": "2026-09-07 15:55:43.033547+00:00", "grade_statistics": { "gpa": 3.257, "graded": 1160, "counts": [ 381, 272, 286, 115, 66, 25, 15 ], "sections": 7 }, "instructor_url": "/instructors/YIMING_LI--instructor_fad528decfa16fb8beeaa024" }, { "instructor_uid": "instructor_b7f0bf11944834d213855294", "source": "madgrades", "source_instructor_id": "5732472", "identity_basis": "source_id", "identity_status": "source_identified", "name": "MATTHEW ZUREK", "email": null, "first_observed_at": "2026-09-06 23:14:58.172943+00:00", "last_observed_at": "2026-09-07 15:55:43.033547+00:00", "grade_statistics": { "gpa": 3.357, "graded": 21, "counts": [ 6, 11, 1, 2, 0, 0, 1 ], "sections": 1 }, "instructor_url": "/instructors/MATTHEW_ZUREK" }, { "instructor_uid": "instructor_112b2eb61e0a171b7b8ca591", "source": "madgrades", "source_instructor_id": "6765397", "identity_basis": "source_id", "identity_status": "source_identified", "name": "SHI-YUK FONG", "email": null, "first_observed_at": "2026-09-06 23:14:58.172943+00:00", "last_observed_at": "2026-09-07 15:55:43.033547+00:00", "grade_statistics": { "gpa": 3.462, "graded": 52, "counts": [ 17, 22, 10, 2, 0, 0, 1 ], "sections": 2 }, "instructor_url": "/instructors/SHI-YUK_FONG" }, { "instructor_uid": "instructor_5d068bc38c45aa16c16e1e9c", "source": "madgrades", "source_instructor_id": "6800481", "identity_basis": "source_id", "identity_status": "source_identified", "name": "JIAWEI ZHANG", "email": null, "first_observed_at": "2026-09-06 23:14:58.172943+00:00", "last_observed_at": "2026-09-07 15:55:43.033547+00:00", "grade_statistics": { "gpa": 3.462, "graded": 52, "counts": [ 17, 22, 10, 2, 0, 0, 1 ], "sections": 6 }, "instructor_url": "/instructors/JIAWEI_ZHANG--instructor_5d068bc38c45aa16c16e1e9c" }, { "instructor_uid": "instructor_a270e82be07bd3a275f6e005", "source": "enrollment", "source_instructor_id": "sjwright2", "identity_basis": "netid", "identity_status": "source_identified", "name": "Stephen Wright", "email": "SWRIGHT@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": 10, "quality": 4.2, "difficulty": 3.8, "quality_count": 10, "difficulty_count": 10, "profile_id": "rmp:1895834", "source_url": "https://www.ratemyprofessors.com/professor/1895834", "match_basis": "exact_name", "observed_at": "2026-09-07 16:04:47.624880+00:00", "courses": { "course_dd8d2094feb4657373e2e2f3": { "review_count": 3, "quality": 4.33, "difficulty": 4.33, "quality_count": 3, "difficulty_count": 3 }, "course_639b02029dbf953b9704cd63": { "review_count": 2, "quality": 3, "difficulty": 4.5, "quality_count": 2, "difficulty_count": 2 }, "course_a04e8d794b24e3b81b984774": { "review_count": 5, "quality": 4.6, "difficulty": 3.2, "quality_count": 5, "difficulty_count": 5 } }, "bayesian_quality": 3.839790522364397, "prior_mean": 3.6596857835465957, "prior_weight": 20 }, "instructor_url": "/instructors/STEPHEN_WRIGHT" } ] ``` ### grades ```json [ { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "COMPSCI/ISYE/MATH/STAT 726", "course_uid": "course_639b02029dbf953b9704cd63", "term_id": "1072", "term_name": "Fall 2006", "instructors": [ "Stephen Wright" ], "a": 5, "ab": 6, "b": 4, "bc": 0, "c": 0, "d": 0, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 15, "source_aliases": [ "COMPSCI/ISYE/MATH/STAT 726" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "COMPSCI/ISYE/MATH/STAT 726", "course_uid": "course_639b02029dbf953b9704cd63", "term_id": "1082", "term_name": "Fall 2007", "instructors": [ "Stephen Wright" ], "a": 6, "ab": 6, "b": 1, "bc": 0, "c": 0, "d": 0, "f": 0, "satisfactory": 2, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 15, "source_aliases": [ "COMPSCI/ISYE/MATH/STAT 726" ] }, { "run_id": "20260907T155543-ce3781c4", 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0, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 21, "source_aliases": [ "COMPSCI/ISYE/MATH/STAT 726" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "COMPSCI/ISYE/MATH/STAT 726", "course_uid": "course_639b02029dbf953b9704cd63", "term_id": "1262", "term_name": "Fall 2025", "instructors": [ "Jiawei Zhang", "SHI-YUK FONG" ], "a": 11, "ab": 14, "b": 5, "bc": 2, "c": 0, "d": 0, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 32, "source_aliases": [ "COMPSCI/ISYE/MATH/STAT 726" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "COMPSCI/ISYE/MATH/STAT 726", "course_uid": "course_639b02029dbf953b9704cd63", "term_id": "1264", "term_name": "Spring 2026", "instructors": [ "Jiawei Zhang", "SHI-YUK FONG" ], "a": 6, "ab": 8, "b": 5, "bc": 0, "c": 0, "d": 0, "f": 1, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 20, "source_aliases": [ "COMPSCI/ISYE/MATH/STAT 726" ] } ] ``` ### statistics #### gpa 3.408 #### graded 801 #### counts * 272 * 264 * 178 * 49 * 30 * 1 * 7 ### grade conflicts None recorded. ### evidence #### history * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course\_639b02029dbf953b9704cd63-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course_639b02029dbf953b9704cd63-0.json) #### traces * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course\_639b02029dbf953b9704cd63-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course_639b02029dbf953b9704cd63-0.json) #### reviews * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/reviews/course\_639b02029dbf953b9704cd63-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/reviews/course_639b02029dbf953b9704cd63-0.json) #### meetings * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/meetings/course\_639b02029dbf953b9704cd63-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/meetings/course_639b02029dbf953b9704cd63-0.json) #### results * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course\_639b02029dbf953b9704cd63-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course_639b02029dbf953b9704cd63-0.json) ### revision e243353dcb7d79b7247ced91d69443ef4c2a6349 ## context ### all #### term #### gpa 3.4076154806491887 #### count 801 #### university ##### size 5308 ##### gpa Percentile 17 ##### count Percentile 84 ##### median Count 179 ##### 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 | 321 | false | | 3.2–3.6 | 1421 | true | | 3.6–4.0 | 3554 | false | #### departments ```json [ { "subject": "COMPSCI", "comparison": { "size": 109, "gpaPercentile": 27, "countPercentile": 70, "medianCount": 416, "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": false }, { "range": "3.2–3.6", "count": 33, "current": true }, { "range": "3.6–4.0", "count": 61, "current": false } ] } }, { "subject": "ISYE", "comparison": { "size": 61, "gpaPercentile": 10, "countPercentile": 78, "medianCount": 270, "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": 4, "current": false }, { "range": "3.2–3.6", "count": 14, "current": true }, { "range": "3.6–4.0", "count": 43, "current": false } ] } }, { "subject": "MATH", "comparison": { "size": 128, "gpaPercentile": 35, "countPercentile": 78, "medianCount": 186, "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": 31, "current": false }, { "range": "3.2–3.6", "count": 22, "current": true }, { "range": "3.6–4.0", "count": 71, "current": false } ] } }, { "subject": "STAT", "comparison": { "size": 76, "gpaPercentile": 24, "countPercentile": 73, "medianCount": 337.5, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 8, "current": false }, { "range": "3.2–3.6", "count": 31, "current": true }, { "range": "3.6–4.0", "count": 37, "current": false } ] } } ] ``` ### terms #### 1072 ##### term 1072 ##### gpa 3.533333333333333 ##### count 15 ##### departments | subject | comparison | | ------- | ---------- | | COMPSCI | | | ISYE | | | MATH | | | STAT | | #### 1082 ##### term 1082 ##### gpa 3.6923076923076925 ##### count 13 ##### departments | subject | comparison | | ------- | ---------- | | COMPSCI | | | ISYE | | | MATH | | | STAT | | #### 1092 ##### term 1092 ##### gpa 3.5833333333333335 ##### count 24 ##### departments | subject | comparison | | ------- | ---------- | | COMPSCI | | | ISYE | | | MATH | | | STAT | | #### 1102 ##### term 1102 ##### gpa 3.3714285714285714 ##### count 35 ##### university ###### size 774 ###### gpa Percentile 52 ###### count Percentile 12 ###### median Count 67 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 1 | false | | 2.0–2.4 | 1 | false | | 2.4–2.8 | 49 | false | | 2.8–3.2 | 201 | false | | 3.2–3.6 | 287 | true | | 3.6–4.0 | 235 | false | ##### departments ```json [ { "subject": "COMPSCI", "comparison": { "size": 19, "gpaPercentile": 78, "countPercentile": 11, "medianCount": 61, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 2, "current": false }, { "range": "2.8–3.2", "count": 9, "current": false }, { "range": "3.2–3.6", "count": 7, "current": true }, { "range": "3.6–4.0", "count": 1, "current": false } ] } }, { "subject": "ISYE", "comparison": { "size": 14, "gpaPercentile": 46, "countPercentile": 23, "medianCount": 42, "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": 6, "current": true }, { "range": "3.6–4.0", "count": 5, "current": false } ] } }, { "subject": "MATH", "comparison": { "size": 27, "gpaPercentile": 96, "countPercentile": 12, "medianCount": 76, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 1, "current": false }, { "range": "2.4–2.8", "count": 8, "current": false }, { "range": "2.8–3.2", "count": 11, "current": false }, { "range": "3.2–3.6", "count": 7, "current": true }, { "range": "3.6–4.0", "count": 0, "current": false } ] } }, { "subject": "STAT", "comparison": { "size": 15, "gpaPercentile": 57, "countPercentile": 7, "medianCount": 72, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 1, "current": false }, { "range": "2.8–3.2", "count": 4, "current": false }, { "range": "3.2–3.6", "count": 9, "current": true }, { "range": "3.6–4.0", "count": 1, "current": false } ] } } ] ``` #### 1112 ##### term 1112 ##### gpa 3.4705882352941178 ##### count 34 ##### university ###### size 805 ###### gpa Percentile 60 ###### count Percentile 10 ###### 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": 73, "countPercentile": 19, "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": "ISYE", "comparison": { "size": 14, "gpaPercentile": 54, "countPercentile": 15, "medianCount": 40, "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": 2, "current": false }, { "range": "3.2–3.6", "count": 8, "current": true }, { "range": "3.6–4.0", "count": 4, "current": false } ] } }, { "subject": "MATH", "comparison": { "size": 26, "gpaPercentile": 92, "countPercentile": 12, "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 } ] } }, { "subject": "STAT", "comparison": { "size": 14, "gpaPercentile": 77, "countPercentile": 8, "medianCount": 68.5, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 6, "current": false }, { "range": "3.2–3.6", "count": 7, "current": true }, { "range": "3.6–4.0", "count": 1, "current": false } ] } } ] ``` #### 1122 ##### term 1122 ##### gpa 3.3375 ##### count 40 ##### university ###### size 804 ###### gpa Percentile 47 ###### count Percentile 20 ###### median Count 70 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 3 | false | | 2.4–2.8 | 47 | false | | 2.8–3.2 | 224 | false | | 3.2–3.6 | 282 | true | | 3.6–4.0 | 248 | false | ##### departments ```json [ { "subject": "COMPSCI", "comparison": { "size": 20, "gpaPercentile": 79, "countPercentile": 26, "medianCount": 54.5, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 1, "current": false }, { "range": "2.8–3.2", "count": 10, "current": false }, { "range": "3.2–3.6", "count": 8, "current": true }, { "range": "3.6–4.0", "count": 1, "current": false } ] } }, { "subject": "ISYE", "comparison": { "size": 15, "gpaPercentile": 43, "countPercentile": 36, "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": 0, "current": false }, { "range": "2.8–3.2", "count": 4, "current": false }, { "range": "3.2–3.6", "count": 6, "current": true }, { "range": "3.6–4.0", "count": 5, "current": false } ] } }, { "subject": "MATH", "comparison": { "size": 27, "gpaPercentile": 100, "countPercentile": 15, "medianCount": 103, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 1, "current": false }, { "range": "2.4–2.8", "count": 9, "current": false }, { "range": "2.8–3.2", "count": 14, "current": false }, { "range": "3.2–3.6", "count": 3, "current": true }, { "range": "3.6–4.0", "count": 0, "current": false } ] } }, { "subject": "STAT", "comparison": { "size": 14, "gpaPercentile": 77, "countPercentile": 15, "medianCount": 78.5, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 1, "current": false }, { "range": "2.8–3.2", "count": 4, "current": false }, { "range": "3.2–3.6", "count": 8, "current": true }, { "range": "3.6–4.0", "count": 1, "current": false } ] } } ] ``` #### 1132 ##### term 1132 ##### gpa 3.5609756097560976 ##### count 41 ##### university ###### size 851 ###### gpa Percentile 65 ###### count Percentile 23 ###### 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 | false | | 3.2–3.6 | 303 | true | | 3.6–4.0 | 272 | false | ##### departments ```json [ { "subject": "COMPSCI", "comparison": { "size": 23, "gpaPercentile": 77, "countPercentile": 27, "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": false }, { "range": "3.2–3.6", "count": 8, "current": true }, { "range": "3.6–4.0", "count": 3, "current": false } ] } }, { "subject": "ISYE", "comparison": { "size": 16, "gpaPercentile": 47, "countPercentile": 53, "medianCount": 40, "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": 4, "current": false }, { "range": "3.2–3.6", "count": 4, "current": true }, { "range": "3.6–4.0", "count": 8, "current": false } ] } }, { "subject": "MATH", "comparison": { "size": 25, "gpaPercentile": 96, "countPercentile": 13, "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": false }, { "range": "3.2–3.6", "count": 4, "current": true }, { "range": "3.6–4.0", "count": 0, "current": false } ] } }, { "subject": "STAT", "comparison": { "size": 16, "gpaPercentile": 93, "countPercentile": 27, "medianCount": 72, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 1, "current": false }, { "range": "2.8–3.2", "count": 6, "current": false }, { "range": "3.2–3.6", "count": 8, "current": true }, { "range": "3.6–4.0", "count": 1, "current": false } ] } } ] ``` #### 1142 ##### term 1142 ##### gpa 3.4324324324324325 ##### count 37 ##### university ###### size 853 ###### gpa Percentile 54 ###### count Percentile 13 ###### 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 | false | | 3.2–3.6 | 320 | true | | 3.6–4.0 | 268 | false | ##### departments ```json [ { "subject": "COMPSCI", "comparison": { "size": 28, "gpaPercentile": 67, "countPercentile": 22, "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": false }, { "range": "3.2–3.6", "count": 11, "current": true }, { "range": "3.6–4.0", "count": 4, "current": false } ] } }, { "subject": "ISYE", "comparison": { "size": 15, "gpaPercentile": 43, "countPercentile": 7, "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": 0, "current": false }, { "range": "2.8–3.2", "count": 2, "current": false }, { "range": "3.2–3.6", "count": 7, "current": true }, { "range": "3.6–4.0", "count": 6, "current": false } ] } }, { "subject": "MATH", "comparison": { "size": 31, "gpaPercentile": 87, "countPercentile": 13, "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": false }, { "range": "3.2–3.6", "count": 9, "current": true }, { "range": "3.6–4.0", "count": 2, "current": false } ] } }, { "subject": "STAT", "comparison": { "size": 16, "gpaPercentile": 60, "countPercentile": 20, "medianCount": 44.5, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 2, "current": false }, { "range": "2.8–3.2", "count": 4, "current": false }, { "range": "3.2–3.6", "count": 9, "current": true }, { "range": "3.6–4.0", "count": 1, "current": false } ] } } ] ``` #### 1152 ##### term 1152 ##### gpa 3.283333333333333 ##### count 30 ##### university ###### size 918 ###### gpa Percentile 37 ###### count Percentile 0 ###### 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": 45, "countPercentile": 0, "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": "ISYE", "comparison": { "size": 17, "gpaPercentile": 25, "countPercentile": 0, "medianCount": 47, "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": 1, "current": false }, { "range": "3.2–3.6", "count": 6, "current": true }, { "range": "3.6–4.0", "count": 8, "current": false } ] } }, { "subject": "MATH", "comparison": { "size": 34, "gpaPercentile": 73, "countPercentile": 0, "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 } ] } }, { "subject": "STAT", "comparison": { "size": 20, "gpaPercentile": 63, "countPercentile": 0, "medianCount": 55, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 1, "current": false }, { "range": "2.8–3.2", "count": 7, "current": false }, { "range": "3.2–3.6", "count": 10, "current": true }, { "range": "3.6–4.0", "count": 2, "current": false } ] } } ] ``` #### 1162 ##### term 1162 ##### gpa 3.2738095238095237 ##### count 42 ##### university ###### size 954 ###### gpa Percentile 34 ###### count Percentile 24 ###### 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 | false | | 3.2–3.6 | 350 | true | | 3.6–4.0 | 345 | false | ##### departments ```json [ { "subject": "COMPSCI", "comparison": { "size": 35, "gpaPercentile": 47, "countPercentile": 26, "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": false }, { "range": "3.2–3.6", "count": 9, "current": true }, { "range": "3.6–4.0", "count": 11, "current": false } ] } }, { "subject": "ISYE", "comparison": { "size": 17, "gpaPercentile": 13, "countPercentile": 44, "medianCount": 47, "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": 2, "current": false }, { "range": "3.2–3.6", "count": 6, "current": true }, { "range": "3.6–4.0", "count": 9, "current": false } ] } }, { "subject": "MATH", "comparison": { "size": 36, "gpaPercentile": 74, "countPercentile": 26, "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": false }, { "range": "3.2–3.6", "count": 9, "current": true }, { "range": "3.6–4.0", "count": 3, "current": false } ] } }, { "subject": "STAT", "comparison": { "size": 24, "gpaPercentile": 30, "countPercentile": 26, "medianCount": 50.5, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 5, "current": false }, { "range": "3.2–3.6", "count": 14, "current": true }, { "range": "3.6–4.0", "count": 5, "current": false } ] } } ] ``` #### 1172 ##### term 1172 ##### gpa 3.382978723404255 ##### count 47 ##### university ###### size 991 ###### gpa Percentile 42 ###### count Percentile 31 ###### median Count 67 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 0 | false | | 2.4–2.8 | 22 | false | | 2.8–3.2 | 226 | false | | 3.2–3.6 | 353 | true | | 3.6–4.0 | 390 | false | ##### departments ```json [ { "subject": "COMPSCI", "comparison": { "size": 31, "gpaPercentile": 67, "countPercentile": 10, "medianCount": 74, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 16, "current": false }, { "range": "3.2–3.6", "count": 6, "current": true }, { "range": "3.6–4.0", "count": 9, "current": false } ] } }, { "subject": "ISYE", "comparison": { "size": 20, "gpaPercentile": 21, "countPercentile": 37, "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": 0, "current": false }, { "range": "2.8–3.2", "count": 4, "current": false }, { "range": "3.2–3.6", "count": 3, "current": true }, { "range": "3.6–4.0", "count": 13, "current": false } ] } }, { "subject": "MATH", "comparison": { "size": 36, "gpaPercentile": 80, "countPercentile": 23, "medianCount": 66, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 4, "current": false }, { "range": "2.8–3.2", "count": 21, "current": false }, { "range": "3.2–3.6", "count": 8, "current": true }, { "range": "3.6–4.0", "count": 3, "current": false } ] } }, { "subject": "STAT", "comparison": { "size": 25, "gpaPercentile": 46, "countPercentile": 29, "medianCount": 56, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 1, "current": false }, { "range": "2.8–3.2", "count": 8, "current": false }, { "range": "3.2–3.6", "count": 13, "current": true }, { "range": "3.6–4.0", "count": 3, "current": false } ] } } ] ``` #### 1184 ##### term 1184 ##### gpa 3.1578947368421053 ##### count 38 ##### university ###### size 1010 ###### gpa Percentile 21 ###### count Percentile 16 ###### 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": 37, "countPercentile": 7, "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": "ISYE", "comparison": { "size": 22, "gpaPercentile": 14, "countPercentile": 5, "medianCount": 57, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 4, "current": true }, { "range": "3.2–3.6", "count": 8, "current": false }, { "range": "3.6–4.0", "count": 10, "current": false } ] } }, { "subject": "MATH", "comparison": { "size": 36, "gpaPercentile": 71, "countPercentile": 20, "medianCount": 83.5, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 1, "current": false }, { "range": "2.4–2.8", "count": 7, "current": false }, { "range": "2.8–3.2", "count": 18, "current": true }, { "range": "3.2–3.6", "count": 7, "current": false }, { "range": "3.6–4.0", "count": 3, "current": false } ] } }, { "subject": "STAT", "comparison": { "size": 25, "gpaPercentile": 21, "countPercentile": 17, "medianCount": 70, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 6, "current": true }, { "range": "3.2–3.6", "count": 11, "current": false }, { "range": "3.6–4.0", "count": 8, "current": false } ] } } ] ``` #### 1192 ##### term 1192 ##### gpa 3.25 ##### count 58 ##### university ###### size 1077 ###### gpa Percentile 25 ###### count Percentile 43 ###### 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 | false | | 3.2–3.6 | 370 | true | | 3.6–4.0 | 481 | false | ##### departments ```json [ { "subject": "COMPSCI", "comparison": { "size": 38, "gpaPercentile": 49, "countPercentile": 32, "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": false }, { "range": "3.2–3.6", "count": 10, "current": true }, { "range": "3.6–4.0", "count": 12, "current": false } ] } }, { "subject": "ISYE", "comparison": { "size": 21, "gpaPercentile": 15, "countPercentile": 20, "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": 1, "current": false }, { "range": "2.8–3.2", "count": 2, "current": false }, { "range": "3.2–3.6", "count": 4, "current": true }, { "range": "3.6–4.0", "count": 14, "current": false } ] } }, { "subject": "MATH", "comparison": { "size": 39, "gpaPercentile": 79, "countPercentile": 24, "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": false }, { "range": "3.2–3.6", "count": 8, "current": true }, { "range": "3.6–4.0", "count": 3, "current": false } ] } }, { "subject": "STAT", "comparison": { "size": 27, "gpaPercentile": 31, "countPercentile": 27, "medianCount": 74, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 1, "current": false }, { "range": "2.8–3.2", "count": 6, "current": false }, { "range": "3.2–3.6", "count": 17, "current": true }, { "range": "3.6–4.0", "count": 3, "current": false } ] } } ] ``` #### 1202 ##### term 1202 ##### gpa 3.392857142857143 ##### count 42 ##### university ###### size 1102 ###### gpa Percentile 36 ###### count Percentile 24 ###### 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 | false | | 3.2–3.6 | 371 | true | | 3.6–4.0 | 498 | false | ##### departments ```json [ { "subject": "COMPSCI", "comparison": { "size": 41, "gpaPercentile": 55, "countPercentile": 15, "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": false }, { "range": "3.2–3.6", "count": 15, "current": true }, { "range": "3.6–4.0", "count": 11, "current": false } ] } }, { "subject": "ISYE", "comparison": { "size": 20, "gpaPercentile": 32, "countPercentile": 11, "medianCount": 60.5, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 4, "current": false }, { "range": "3.2–3.6", "count": 6, "current": true }, { "range": "3.6–4.0", "count": 10, "current": false } ] } }, { "subject": "MATH", "comparison": { "size": 40, "gpaPercentile": 82, "countPercentile": 21, "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": false }, { "range": "3.2–3.6", "count": 7, "current": true }, { "range": "3.6–4.0", "count": 5, "current": false } ] } }, { "subject": "STAT", "comparison": { "size": 30, "gpaPercentile": 45, "countPercentile": 7, "medianCount": 80.5, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 10, "current": false }, { "range": "3.2–3.6", "count": 11, "current": true }, { "range": "3.6–4.0", "count": 9, "current": false } ] } } ] ``` #### 1204 ##### term 1204 ##### gpa 3.5689655172413794 ##### count 29 ##### departments | subject | comparison | | ------- | ---------- | | COMPSCI | | | ISYE | | | MATH | | | STAT | | #### 1212 ##### term 1212 ##### gpa 3.6153846153846154 ##### count 26 ##### departments | subject | comparison | | ------- | ---------- | | COMPSCI | | | ISYE | | | MATH | | | STAT | | #### 1224 ##### term 1224 ##### gpa 3.3191489361702127 ##### count 47 ##### university ###### size 1171 ###### gpa Percentile 24 ###### count Percentile 33 ###### 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 | false | | 3.2–3.6 | 358 | true | | 3.6–4.0 | 616 | false | ##### departments ```json [ { "subject": "COMPSCI", "comparison": { "size": 45, "gpaPercentile": 36, "countPercentile": 16, "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": false }, { "range": "3.2–3.6", "count": 17, "current": true }, { "range": "3.6–4.0", "count": 17, "current": false } ] } }, { "subject": "ISYE", "comparison": { "size": 25, "gpaPercentile": 13, "countPercentile": 29, "medianCount": 48, "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": 10, "current": true }, { "range": "3.6–4.0", "count": 14, "current": false } ] } }, { "subject": "MATH", "comparison": { "size": 34, "gpaPercentile": 67, "countPercentile": 21, "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": false }, { "range": "3.2–3.6", "count": 12, "current": true }, { "range": "3.6–4.0", "count": 4, "current": false } ] } }, { "subject": "STAT", "comparison": { "size": 27, "gpaPercentile": 38, "countPercentile": 4, "medianCount": 74, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 6, "current": false }, { "range": "3.2–3.6", "count": 10, "current": true }, { "range": "3.6–4.0", "count": 11, "current": false } ] } } ] ``` #### 1232 ##### term 1232 ##### gpa 3.485294117647059 ##### count 34 ##### university ###### size 1216 ###### gpa Percentile 35 ###### count Percentile 10 ###### 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 | false | | 3.2–3.6 | 356 | true | | 3.6–4.0 | 670 | false | ##### departments ```json [ { "subject": "COMPSCI", "comparison": { "size": 50, "gpaPercentile": 49, "countPercentile": 2, "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": false }, { "range": "3.2–3.6", "count": 19, "current": true }, { "range": "3.6–4.0", "count": 22, "current": false } ] } }, { "subject": "ISYE", "comparison": { "size": 24, "gpaPercentile": 30, "countPercentile": 17, "medianCount": 53, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 5, "current": false }, { "range": "3.2–3.6", "count": 5, "current": true }, { "range": "3.6–4.0", "count": 14, "current": false } ] } }, { "subject": "MATH", "comparison": { "size": 43, "gpaPercentile": 79, "countPercentile": 12, "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": false }, { "range": "3.2–3.6", "count": 14, "current": true }, { "range": "3.6–4.0", "count": 7, "current": false } ] } }, { "subject": "STAT", "comparison": { "size": 32, "gpaPercentile": 61, "countPercentile": 0, "medianCount": 60.5, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 11, "current": false }, { "range": "3.2–3.6", "count": 13, "current": true }, { "range": "3.6–4.0", "count": 8, "current": false } ] } } ] ``` #### 1234 ##### term 1234 ##### gpa 3.5434782608695654 ##### count 46 ##### university ###### size 1188 ###### gpa Percentile 40 ###### count Percentile 31 ###### 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 | false | | 3.2–3.6 | 374 | true | | 3.6–4.0 | 650 | false | ##### departments ```json [ { "subject": "COMPSCI", "comparison": { "size": 46, "gpaPercentile": 67, "countPercentile": 20, "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": false }, { "range": "3.2–3.6", "count": 26, "current": true }, { "range": "3.6–4.0", "count": 12, "current": false } ] } }, { "subject": "ISYE", "comparison": { "size": 24, "gpaPercentile": 26, "countPercentile": 39, "medianCount": 53, "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": 7, "current": true }, { "range": "3.6–4.0", "count": 16, "current": false } ] } }, { "subject": "MATH", "comparison": { "size": 41, "gpaPercentile": 78, "countPercentile": 35, "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": false }, { "range": "3.2–3.6", "count": 14, "current": true }, { "range": "3.6–4.0", "count": 7, "current": false } ] } }, { "subject": "STAT", "comparison": { "size": 25, "gpaPercentile": 67, "countPercentile": 8, "medianCount": 67, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 1, "current": false }, { "range": "2.8–3.2", "count": 5, "current": false }, { "range": "3.2–3.6", "count": 12, "current": true }, { "range": "3.6–4.0", "count": 7, "current": false } ] } } ] ``` #### 1242 ##### term 1242 ##### gpa 3.413793103448276 ##### count 29 ##### departments | subject | comparison | | ------- | ---------- | | COMPSCI | | | ISYE | | | MATH | | | STAT | | #### 1244 ##### term 1244 ##### gpa 3.357142857142857 ##### count 21 ##### departments | subject | comparison | | ------- | ---------- | | COMPSCI | | | ISYE | | | MATH | | | STAT | | #### 1254 ##### term 1254 ##### gpa 3.3095238095238093 ##### count 21 ##### departments | subject | comparison | | ------- | ---------- | | COMPSCI | | | ISYE | | | MATH | | | STAT | | #### 1262 ##### term 1262 ##### gpa 3.53125 ##### count 32 ##### university ###### size 1320 ###### gpa Percentile 32 ###### count Percentile 5 ###### 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 | false | | 3.2–3.6 | 381 | true | | 3.6–4.0 | 797 | false | ##### departments ```json [ { "subject": "COMPSCI", "comparison": { "size": 53, "gpaPercentile": 46, "countPercentile": 0, "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": false }, { "range": "3.2–3.6", "count": 22, "current": true }, { "range": "3.6–4.0", "count": 21, "current": false } ] } }, { "subject": "ISYE", "comparison": { "size": 25, "gpaPercentile": 33, "countPercentile": 0, "medianCount": 52, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 5, "current": false }, { "range": "3.2–3.6", "count": 5, "current": true }, { "range": "3.6–4.0", "count": 15, "current": false } ] } }, { "subject": "MATH", "comparison": { "size": 43, "gpaPercentile": 79, "countPercentile": 7, "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": false }, { "range": "3.2–3.6", "count": 16, "current": true }, { "range": "3.6–4.0", "count": 6, "current": false } ] } }, { "subject": "STAT", "comparison": { "size": 29, "gpaPercentile": 57, "countPercentile": 0, "medianCount": 81, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 9, "current": false }, { "range": "3.2–3.6", "count": 12, "current": true }, { "range": "3.6–4.0", "count": 8, "current": false } ] } } ] ``` #### 1264 ##### term 1264 ##### gpa 3.35 ##### count 20 ##### departments | subject | comparison | | ------- | ---------- | | COMPSCI | | | ISYE | | | MATH | | | STAT | | ### benchmarks #### all ##### school ###### size 5308 ###### gpa 3.679319981617718 ###### top Share 83.0245168832399 ###### count 179 ##### COMPSCI ###### size 109 ###### gpa 3.595619517478447 ###### top Share 78.92270182301992 ###### count 416 ##### ISYE ###### size 61 ###### gpa 3.6949703531553877 ###### top Share 84.32310507101319 ###### count 270 ##### MATH ###### size 128 ###### gpa 3.55326843802807 ###### top Share 75.05412710490317 ###### count 186 ##### STAT ###### size 76 ###### gpa 3.5900336272802438 ###### top Share 77.89996126980708 ###### count 337.5 #### 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 ##### 1082 ###### school ###### size 723 ###### gpa 3.3583896732335172 ###### top Share 62.932746798940194 ###### count 68 ###### COMPSCI ###### size 15 ###### gpa 3.146224995259422 ###### top Share 51.28801425895212 ###### count 49 ###### MATH ###### size 20 ###### gpa 2.8603540012311925 ###### top Share 39.28661748894661 ###### count 122 ###### STAT ###### size 10 ###### gpa 3.181469252605204 ###### top Share 50.79697144214053 ###### count 66.5 ##### 1092 ###### school ###### size 732 ###### gpa 3.374660709520374 ###### top Share 63.690339324346596 ###### count 70 ###### COMPSCI ###### size 16 ###### gpa 3.14888347660136 ###### top Share 52.49548911325188 ###### count 66.5 ###### MATH ###### size 22 ###### gpa 2.8820162698417926 ###### top Share 39.71597770466243 ###### count 131 ###### STAT ###### size 11 ###### gpa 3.2851296989222463 ###### top Share 61.121424545066226 ###### count 65 ##### 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 ###### ISYE ###### size 14 ###### gpa 3.4469412997609785 ###### top Share 67.6955584322091 ###### count 42 ###### MATH ###### size 27 ###### gpa 2.936619140855453 ###### top Share 42.28372460948232 ###### count 76 ###### STAT ###### size 15 ###### gpa 3.2431139797798068 ###### top Share 54.806129569025835 ###### count 72 ##### 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 ###### ISYE ###### size 14 ###### gpa 3.4635739499944935 ###### top Share 68.36302861386832 ###### count 40 ###### MATH ###### size 26 ###### gpa 2.9941347625171355 ###### top Share 43.79682105650899 ###### count 87 ###### STAT ###### size 14 ###### gpa 3.242406375705586 ###### top Share 57.34276482904032 ###### count 68.5 ##### 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 ###### ISYE ###### size 15 ###### gpa 3.412173563129109 ###### top Share 65.9564467047386 ###### count 41 ###### MATH ###### size 27 ###### gpa 2.898067749128924 ###### top Share 42.09489165698714 ###### count 103 ###### STAT ###### size 14 ###### gpa 3.247214504889537 ###### top Share 58.600170104917346 ###### count 78.5 ##### 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 ###### ISYE ###### size 16 ###### gpa 3.5364049773931505 ###### top Share 75.22354524793886 ###### count 40 ###### 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