# POLISCI 411: The American Constitution : Powers and Structures of Government | UW–Madison [View on UW Courses](https://uwcourses.com/courses/POLISCI_411) ## 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 71c0f73c0a221be180a0cf6f774d83a2f0eb1be2940a83f21f42979ceafb1c76 ### course id POLISCI 411 ### course uid course\_6fea586d199f949f361d08ca ### catalog version id 504de082854983aef2713001f32834f7eba6be2b61abfcd5450c805dfaadea32 ### course number 411 ### subjects * POLISCI ### title THE AMERICAN CONSTITUTION : POWERS AND STRUCTURES OF GOVERNMENT ### description This course undertakes an historical examination of the development of American constitutional thinking about powers and structures of government from the founding era to the present day. Issue that are considered include separation of powers, executive war powers, the powers of Congress, judicial review and the role of courts, and federalism. The course focuses on the development of constitutional law, constitutional politics, and American political development. ### requirements text Sophomore standing and (POLI SCI 104or 184) ### credits min 4 ### credits max 4 ### credit offering ids * 1272:778:015922 ### llm job id enrich-8b774950c2b6adfdc46d1b82 ### llm output id d8a937f5e7e707870abb7959525b408452797c9b8b265dc03d1825eae4377ffb ### llm model nvidia/Qwen3.6-35B-A3B-NVFP4 ### llm model revision 1355db6a052410cfd62085d94b58866fd0f2c3c5 ### llm task version 14 ### llm search status valid ### llm summary Historical examination of American constitutional thinking regarding government powers and structures from founding to present. ### llm topics * Separation of powers and executive war powers * Congressional powers and judicial review * Federalism ### llm skills * Historical analysis of constitutional thinking * Analysis of constitutional law and politics ### llm assumed background * Introduction to American politics and government structures ### llm search phrases * American constitutional history * separation of powers * executive war powers * judicial review * federalism development ### llm requirements status valid ### llm student summary status valid ### llm experience status valid ### catalog variants None recorded. ### student summary #### context hash 1d88cf61e12f84b851cbd1c874778c2486e6086a8267461713677f72a1dce770 #### course id POLISCI 411 #### current instructors ```json [ { "instructor_uid": "instructor_ba18d998ed26ee4af49ffeea", "message": "No course-specific reviews available", "name": "Allyson Berri", "review_status": "no_course_reviews", "rmp_instructor_id": null, "summary": [] } ] ``` #### difficulty workload Historical reviews of Howard Schweber: Schweber’s course involves dense lectures requiring extensive note-taking and long take-home exams that demand consistent attendance. ```json { "citations": [ { "instructor_name": "Howard Schweber", "review_date": "2014-12-18 10:43:07 +0000 UTC", "review_id": "298d14d32b6cb98280301734", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:464204", "source_review_id": "UmF0aW5nLTI0MTMxMjMy", "source_url": "https://www.ratemyprofessors.com/professor/464204", "type": "review" }, { "instructor_name": "Howard Schweber", "review_date": "2018-12-30 17:21:49 +0000 UTC", "review_id": "14cec849f001015d5f1ce0f8", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:464204", "source_review_id": "UmF0aW5nLTMxMTc2Nzky", "source_url": "https://www.ratemyprofessors.com/professor/464204", "type": "review" }, { "instructor_name": "Howard Schweber", "review_date": "2021-11-23 15:23:41 +0000 UTC", "review_id": "4bf42a09a68f1772a0c917ec", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:464204", "source_review_id": "UmF0aW5nLTM1MjkxNDU5", "source_url": "https://www.ratemyprofessors.com/professor/464204", "type": "review" } ] } ``` #### errors None recorded. #### historical context Historical reviews of Donald Downs: Donald Downs is described as having a great sense of humor and deep subject knowledge, with reviewers noting his willingness to help students. He is cited as a favorite for his approachable nature and expertise. ```json { "citations": [ { "instructor_name": "Donald Downs", "review_date": "2004-11-24 17:45:14 +0000 UTC", "review_id": "8e9400784a952c1e8ac4729e", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:264746", "source_review_id": "UmF0aW5nLTI4MzIwNzc=", "source_url": "https://www.ratemyprofessors.com/professor/264746", "type": "review" } ] } ``` #### offered true #### profile hash 5cb4dabf887cdbcd8c00d5a1312e10828b95c63f30bc3ea76aea199565390d02 #### quick take Historical reviews for Donald Downs highlight his humor and willingness to help students, describing him as a favorite professor. ```json { "citations": [ { "instructor_name": "Donald Downs", "review_date": "2004-11-24 17:45:14 +0000 UTC", "review_id": "8e9400784a952c1e8ac4729e", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:264746", "source_review_id": "UmF0aW5nLTI4MzIwNzc=", "source_url": "https://www.ratemyprofessors.com/professor/264746", "type": "review" } ] } ``` Recent recorded grades — Fall 2021: 3.58 GPA, 87.8% A/AB (n=49 letter grades); Fall 2022: 3.75 GPA, 89.2% A/AB (n=93 letter grades); Spring 2025: 3.70 GPA, 84.8% A/AB (n=46 letter grades). ```json { "citations": [ { "course_id": "POLISCI 411", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "9f2614c4-d183-302d-9163-b9ab6818eb5e", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1222", "type": "grade" }, { "course_id": "POLISCI 411", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "9f2614c4-d183-302d-9163-b9ab6818eb5e", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1232", "type": "grade" }, { "course_id": "POLISCI 411", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "9f2614c4-d183-302d-9163-b9ab6818eb5e", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1254", "type": "grade" } ] } ``` #### student experience Historical reviews of Howard Schweber: One reviewer criticized Schweber’s online instruction for late uploads and incoherent delivery, while another found his lectures dense and hard to follow. ```json { "citations": [ { "instructor_name": "Howard Schweber", "review_date": "2020-12-14 21:27:29 +0000 UTC", "review_id": "d759b60adf2393f049b12f29", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:464204", "source_review_id": "UmF0aW5nLTM0MDcwODQ0", "source_url": "https://www.ratemyprofessors.com/professor/464204", "type": "review" }, { "instructor_name": "Howard Schweber", "review_date": "2021-11-23 15:23:41 +0000 UTC", "review_id": "4bf42a09a68f1772a0c917ec", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:464204", "source_review_id": "UmF0aW5nLTM1MjkxNDU5", "source_url": "https://www.ratemyprofessors.com/professor/464204", "type": "review" } ] } ``` #### task hash 74fb0997943e888960bbc9e47db8c4fd12e4292d55c20509d8d89db6a9910f68 #### teaching history DONALD ALEXANDER DOWNS is recorded teaching in Fall 2006. Recorded history may be incomplete and does not establish a future schedule. ```json { "citations": [ { "course_id": "POLISCI 411", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "9f2614c4-d183-302d-9163-b9ab6818eb5e", "source_record": { "entity_id": "9f2614c4-d183-302d-9163-b9ab6818eb5e", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1072", "type": "grade" } ] } ``` HOWARD SCHWEBER is recorded teaching in Fall 2014, Spring 2017, Fall 2017, Fall 2018, Spring 2020, Fall 2020, Fall 2021, Fall 2022. Recorded history may be incomplete and does not establish a future schedule. ```json { "citations": [ { "course_id": "POLISCI 411", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "9f2614c4-d183-302d-9163-b9ab6818eb5e", "source_record": { "entity_id": "9f2614c4-d183-302d-9163-b9ab6818eb5e", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1152", "type": "grade" }, { "course_id": "POLISCI 411", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "9f2614c4-d183-302d-9163-b9ab6818eb5e", "source_record": { "entity_id": "9f2614c4-d183-302d-9163-b9ab6818eb5e", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1174", "type": "grade" }, { "course_id": "POLISCI 411", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "9f2614c4-d183-302d-9163-b9ab6818eb5e", "source_record": { "entity_id": "9f2614c4-d183-302d-9163-b9ab6818eb5e", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1182", "type": "grade" }, { "course_id": "POLISCI 411", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "9f2614c4-d183-302d-9163-b9ab6818eb5e", "source_record": { "entity_id": "9f2614c4-d183-302d-9163-b9ab6818eb5e", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1192", "type": "grade" }, { "course_id": "POLISCI 411", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "9f2614c4-d183-302d-9163-b9ab6818eb5e", "source_record": { "entity_id": "9f2614c4-d183-302d-9163-b9ab6818eb5e", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1204", "type": "grade" }, { "course_id": "POLISCI 411", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "9f2614c4-d183-302d-9163-b9ab6818eb5e", "source_record": { "entity_id": "9f2614c4-d183-302d-9163-b9ab6818eb5e", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1212", "type": "grade" }, { "course_id": "POLISCI 411", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "9f2614c4-d183-302d-9163-b9ab6818eb5e", "source_record": { "entity_id": "9f2614c4-d183-302d-9163-b9ab6818eb5e", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1222", "type": "grade" }, { "course_id": "POLISCI 411", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "9f2614c4-d183-302d-9163-b9ab6818eb5e", "source_record": { "entity_id": "9f2614c4-d183-302d-9163-b9ab6818eb5e", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1232", "type": "grade" } ] } ``` #### term id 1272 #### term name 2026 Fall #### version 2 ### requirements #### nodes ```json [ { "children": [ "n1", "n2" ], "condition": null, "course": null, "evidence": "Sophomore standing and (POLI SCI 104or 184)", "id": "n0", "kind": "all" }, { "children": [], "condition": "Sophomore standing", "course": null, "evidence": "Sophomore standing", "id": "n1", "kind": "condition" }, { "children": [ "n3", "n4" ], "condition": null, "course": null, "evidence": "(POLI SCI 104or 184)", "id": "n2", "kind": "any" }, { "children": [], "condition": null, "course": { "course_number": 104, "minimum_grade": null, "subjects": [ "POLISCI" ], "timing": "prior" }, "evidence": "POLI SCI 104", "id": "n3", "kind": "course" }, { "children": [], "condition": "184", "course": null, "evidence": "184", "id": "n4", "kind": "condition" } ] ``` #### notes * Source text contains typo '104or' without space. '184' preserved verbatim as requested. #### root n0 #### status parsed ### instructors | instructor\_uid | source | source\_instructor\_id | identity\_basis | identity\_status | name | email | first\_observed\_at | last\_observed\_at | instructor\_url | | ------------------------------------ | ---------- | ---------------------- | --------------- | ------------------ | ---------------- | -------------------- | -------------------------------- | -------------------------------- | ------------------------------ | | instructor\_ba18d998ed26ee4af49ffeea | enrollment | aberri | netid | source\_identified | Allyson Berri | ABERRI\@WISC.EDU | 2026-09-07 15:55:43.033547+00:00 | 2026-09-07 15:55:43.033547+00:00 | /instructors/ALLYSON\_BERRI | | instructor\_ee8c0677e76f0439a4a026ab | enrollment | nreina | netid | source\_identified | Nicolas Reina | NREINA\@WISC.EDU | 2026-09-07 15:55:43.033547+00:00 | 2026-09-07 15:55:43.033547+00:00 | /instructors/NICOLAS\_REINA | | instructor\_0f2507dccbf5fcb297fcade0 | enrollment | omesserges | netid | source\_identified | Olivia Messerges | OMESSERGES\@WISC.EDU | 2026-09-07 15:55:43.033547+00:00 | 2026-09-07 15:55:43.033547+00:00 | /instructors/OLIVIA\_MESSERGES | ### offerings ```json [ { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "offering_id": "1272:778:015922", "course_id": "POLISCI 411", "course_uid": "course_6fea586d199f949f361d08ca", "term_id": "1272", "source_course_id": "015922", "source_subject_id": "778", "title": "The American Constitution : Powers and Structures of Government", "credits_min": 4, "credits_max": 4, "typically_offered": "Fall" } ] ``` ### sections ```json [ { "run_id": "20260907T155543-ce3781c4", "observed_at": "2026-09-07 15:55:43.033547+00:00", "section_uid": "uw-section:1272:35335", "term_id": "1272", "source_section_id": "35335", "identity_basis": "class_number", "section_number": "001", "section_type": "LEC", "instruction_mode": "Classroom Instruction", "capacity": 68, "enrolled": 64, "waitlisted": 0, "start_date": "2026-09-02 05:00:00+00:00", "end_date": "2026-12-09 06:00:00+00:00" }, { "run_id": "20260907T155543-ce3781c4", "observed_at": "2026-09-07 15:55:43.033547+00:00", "section_uid": "uw-section:1272:35337", "term_id": "1272", "source_section_id": "35337", "identity_basis": "class_number", "section_number": "302", "section_type": "DIS", "instruction_mode": "Classroom Instruction", "capacity": 17, "enrolled": 16, "waitlisted": 0, "start_date": "2026-09-02 05:00:00+00:00", "end_date": "2026-12-09 06:00:00+00:00" }, { "run_id": "20260907T155543-ce3781c4", "observed_at": "2026-09-07 15:55:43.033547+00:00", "section_uid": "uw-section:1272:35338", "term_id": "1272", "source_section_id": "35338", "identity_basis": "class_number", "section_number": "303", "section_type": "DIS", "instruction_mode": "Classroom Instruction", "capacity": 17, "enrolled": 14, "waitlisted": 0, "start_date": "2026-09-02 05:00:00+00:00", "end_date": "2026-12-09 06:00:00+00:00" }, { "run_id": "20260907T155543-ce3781c4", "observed_at": "2026-09-07 15:55:43.033547+00:00", "section_uid": "uw-section:1272:35340", "term_id": "1272", "source_section_id": "35340", "identity_basis": "class_number", "section_number": "305", "section_type": "DIS", "instruction_mode": "Classroom Instruction", "capacity": 17, "enrolled": 17, "waitlisted": 0, "start_date": "2026-09-02 05:00:00+00:00", "end_date": "2026-12-09 06:00:00+00:00" }, { "run_id": "20260907T155543-ce3781c4", "observed_at": "2026-09-07 15:55:43.033547+00:00", "section_uid": "uw-section:1272:35341", "term_id": "1272", "source_section_id": "35341", "identity_basis": "class_number", "section_number": "306", "section_type": "DIS", "instruction_mode": "Classroom Instruction", "capacity": 17, "enrolled": 17, "waitlisted": 0, "start_date": "2026-09-02 05:00:00+00:00", "end_date": "2026-12-09 06:00:00+00:00" }, { "run_id": "20260907T155543-ce3781c4", "observed_at": "2026-09-07 15:55:43.033547+00:00", "section_uid": "uw-section:1272:38237", "term_id": "1272", "source_section_id": "38237", "identity_basis": "class_number", "section_number": "532", "section_type": "DIS", "instruction_mode": "Classroom Instruction", "capacity": 0, "enrolled": 0, "waitlisted": 0, "start_date": "2026-09-02 05:00:00+00:00", "end_date": "2026-12-09 06:00:00+00:00" } ] ``` ### grade instructors ```json [ { "instructor_uid": "instructor_408cc389944b9659c84e9abb", "source": "madgrades", "source_instructor_id": "296378", "identity_basis": "source_id", "identity_status": "source_identified", "name": "DONALD ALEXANDER DOWNS", "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": 3.136, "graded": 1314, "counts": [ 293, 324, 350, 195, 130, 17, 5 ], "sections": 61 }, "instructor_url": "/instructors/DONALD_ALEXANDER_DOWNS--instructor_408cc389944b9659c84e9abb" }, { "instructor_uid": "instructor_f9fa0ef7f39771751e9a0203", "source": "madgrades", "source_instructor_id": "3007113", "identity_basis": "source_id", "identity_status": "source_identified", "name": "LIANE KOSAKI", "email": null, "first_observed_at": "2026-09-06 23:14:58.172943+00:00", "last_observed_at": "2026-09-07 15:55:43.033547+00:00", "ratings": { "review_count": 5, "quality": 4, "difficulty": 2.2, "quality_count": 5, "difficulty_count": 5, "profile_id": "rmp:1187207", "source_url": "https://www.ratemyprofessors.com/professor/1187207", "match_basis": "exact_name", "observed_at": "2026-09-07 16:23:26.232010+00:00", "courses": {}, "bayesian_quality": 3.7277486268372764, "prior_mean": 3.6596857835465957, "prior_weight": 20 }, "grade_statistics": { "gpa": 3.158, "graded": 946, "counts": [ 220, 250, 256, 116, 77, 20, 7 ], "sections": 10 }, "instructor_url": "/instructors/LIANE_KOSAKI--instructor_f9fa0ef7f39771751e9a0203" }, { "instructor_uid": "instructor_ac2d8ab56f7eb66833e23136", "source": "madgrades", "source_instructor_id": "3039908", "identity_basis": "source_id", "identity_status": "source_identified", "name": "HOWARD SCHWEBER", "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": 129, "quality": 3.77, "difficulty": 3.52, "quality_count": 129, "difficulty_count": 129, "profile_id": "rmp:464204", "source_url": "https://www.ratemyprofessors.com/professor/464204", "match_basis": "exact_name", "observed_at": "2026-09-07 16:36:27.987655+00:00", "courses": { "course_c0ce58a44b64a4a47cfd1297": { "review_count": 8, "quality": 3.25, "difficulty": 3.75, "quality_count": 8, "difficulty_count": 8 }, "course_8b7d5a62be1ac699d305c20c": { "review_count": 5, "quality": 3.4, "difficulty": 3.4, "quality_count": 5, "difficulty_count": 5 }, "course_e7b4fd0e5787ff4ba6a21cc2": { "review_count": 6, "quality": 4, "difficulty": 4.17, "quality_count": 6, "difficulty_count": 6 }, "course_f316b1c0bcfe1eba601b7ab6": { "review_count": 4, "quality": 3.75, "difficulty": 3.5, "quality_count": 4, "difficulty_count": 4 }, "course_6fea586d199f949f361d08ca": { "review_count": 9, "quality": 4.22, "difficulty": 3.67, "quality_count": 9, "difficulty_count": 9 }, "course_dac3c0e554bb8fd4c39452f9": { "review_count": 15, "quality": 4.53, "difficulty": 2.67, "quality_count": 15, "difficulty_count": 15 } }, "bayesian_quality": 3.755192722623704, "prior_mean": 3.6596857835465957, "prior_weight": 20 }, "grade_statistics": { "gpa": 3.446, "graded": 3098, "counts": [ 1177, 964, 666, 155, 93, 23, 20 ], "sections": 106 }, "instructor_url": "/instructors/HOWARD_SCHWEBER--instructor_ac2d8ab56f7eb66833e23136" }, { "instructor_uid": "instructor_316de11425e32a127bcf68bc", "source": "madgrades", "source_instructor_id": "6220099", "identity_basis": "source_id", "identity_status": "source_identified", "name": "GARRETT JONES", "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": 3.688, "graded": 64, "counts": [ 38, 15, 9, 1, 1, 0, 0 ], "sections": 2 }, "instructor_url": "/instructors/GARRETT_JONES" }, { "instructor_uid": "instructor_0f2507dccbf5fcb297fcade0", "source": "enrollment", "source_instructor_id": "omesserges", "identity_basis": "netid", "identity_status": "source_identified", "name": "Olivia Messerges", "email": "OMESSERGES@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", "instructor_url": "/instructors/OLIVIA_MESSERGES" }, { "instructor_uid": "instructor_ba18d998ed26ee4af49ffeea", "source": "enrollment", "source_instructor_id": "aberri", "identity_basis": "netid", "identity_status": "source_identified", "name": "Allyson Berri", "email": "ABERRI@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", "instructor_url": "/instructors/ALLYSON_BERRI" }, { "instructor_uid": "instructor_ee8c0677e76f0439a4a026ab", "source": "enrollment", "source_instructor_id": "nreina", "identity_basis": "netid", "identity_status": "source_identified", "name": "Nicolas Reina", "email": "NREINA@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", "instructor_url": "/instructors/NICOLAS_REINA" } ] ``` ### grades ```json [ { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "POLISCI 411", "course_uid": "course_6fea586d199f949f361d08ca", "term_id": "1072", "term_name": "Fall 2006", "instructors": [ "DONALD ALEXANDER DOWNS" ], "a": 48, "ab": 55, "b": 87, "bc": 45, "c": 30, "d": 4, "f": 2, "satisfactory": 1, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 3, "not_reported": 0, "other": 0, "total": 275, "source_aliases": [ "POLISCI 411" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "POLISCI 411", "course_uid": "course_6fea586d199f949f361d08ca", "term_id": "1082", "term_name": "Fall 2007", "instructors": [ "LIANE KOSAKI" ], "a": 22, "ab": 40, "b": 38, "bc": 22, "c": 10, "d": 6, "f": 1, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 1, "total": 140, "source_aliases": [ "POLISCI 411" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "POLISCI 411", "course_uid": "course_6fea586d199f949f361d08ca", "term_id": "1092", "term_name": "Fall 2008", "instructors": [ "LIANE KOSAKI" ], "a": 19, "ab": 39, "b": 50, "bc": 19, "c": 7, "d": 1, "f": 2, "satisfactory": 2, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 139, "source_aliases": [ "POLISCI 411" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "POLISCI 411", "course_uid": "course_6fea586d199f949f361d08ca", "term_id": "1102", "term_name": "Fall 2009", "instructors": [ "LIANE KOSAKI" ], "a": 27, "ab": 38, "b": 36, "bc": 16, "c": 16, "d": 4, "f": 1, "satisfactory": 1, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 139, "source_aliases": [ "POLISCI 411" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "POLISCI 411", "course_uid": "course_6fea586d199f949f361d08ca", "term_id": "1112", "term_name": "Fall 2010", "instructors": [ "LIANE KOSAKI" ], "a": 37, "ab": 29, "b": 29, "bc": 22, "c": 13, "d": 2, "f": 0, "satisfactory": 3, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 135, "source_aliases": [ "POLISCI 411" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "POLISCI 411", "course_uid": "course_6fea586d199f949f361d08ca", "term_id": "1122", "term_name": "Fall 2011", "instructors": [ "LIANE KOSAKI" ], "a": 20, "ab": 29, "b": 42, "bc": 18, "c": 15, "d": 5, "f": 0, "satisfactory": 1, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 1, "no_work": 0, "not_reported": 0, "other": 0, "total": 131, "source_aliases": [ "POLISCI 411" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "POLISCI 411", "course_uid": "course_6fea586d199f949f361d08ca", "term_id": "1132", "term_name": "Fall 2012", "instructors": [ "LIANE KOSAKI" ], "a": 24, "ab": 17, "b": 18, "bc": 8, "c": 3, "d": 0, "f": 1, "satisfactory": 2, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 1, "not_reported": 0, "other": 0, "total": 74, "source_aliases": [ "POLISCI 411" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "POLISCI 411", "course_uid": "course_6fea586d199f949f361d08ca", "term_id": "1142", "term_name": "Fall 2013", "instructors": [ "LIANE KOSAKI" ], "a": 31, "ab": 17, "b": 8, "bc": 4, "c": 1, "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": 62, "source_aliases": [ "POLISCI 411" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "POLISCI 411", "course_uid": "course_6fea586d199f949f361d08ca", "term_id": "1152", "term_name": "Fall 2014", "instructors": [ "HOWARD SCHWEBER" ], "a": 29, "ab": 43, "b": 24, "bc": 2, "c": 0, "d": 1, "f": 0, "satisfactory": 1, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 100, "source_aliases": [ "POLISCI 411" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "POLISCI 411", "course_uid": "course_6fea586d199f949f361d08ca", "term_id": "1164", "term_name": "Spring 2016", "instructors": [ "LIANE KOSAKI" ], "a": 16, "ab": 18, "b": 8, "bc": 1, "c": 4, "d": 1, "f": 1, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 49, "source_aliases": [ "POLISCI 411" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "POLISCI 411", "course_uid": "course_6fea586d199f949f361d08ca", "term_id": "1174", "term_name": "Spring 2017", "instructors": [ "HOWARD SCHWEBER" ], "a": 17, "ab": 21, "b": 5, "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": 43, "source_aliases": [ "POLISCI 411" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "POLISCI 411", "course_uid": "course_6fea586d199f949f361d08ca", "term_id": "1182", "term_name": "Fall 2017", "instructors": [ "HOWARD SCHWEBER" ], "a": 15, "ab": 28, "b": 4, "bc": 0, "c": 1, "d": 0, "f": 0, "satisfactory": 4, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 52, "source_aliases": [ "POLISCI 411" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "POLISCI 411", "course_uid": "course_6fea586d199f949f361d08ca", "term_id": "1192", "term_name": "Fall 2018", "instructors": [ "HOWARD SCHWEBER" ], "a": 23, "ab": 28, "b": 1, "bc": 0, "c": 0, "d": 0, "f": 0, "satisfactory": 5, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 57, "source_aliases": [ "POLISCI 411" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "POLISCI 411", "course_uid": "course_6fea586d199f949f361d08ca", "term_id": "1204", "term_name": "Spring 2020", "instructors": [ "HOWARD SCHWEBER" ], "a": 29, "ab": 41, "b": 13, "bc": 0, "c": 2, "d": 0, "f": 1, "satisfactory": 20, "unsatisfactory": 3, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 109, "source_aliases": [ "POLISCI 411" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "POLISCI 411", "course_uid": "course_6fea586d199f949f361d08ca", "term_id": "1212", "term_name": "Fall 2020", "instructors": [ "HOWARD SCHWEBER" ], "a": 59, "ab": 13, "b": 14, "bc": 1, "c": 2, "d": 2, "f": 4, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 1, "no_work": 0, "not_reported": 10, "other": 1, "total": 107, "source_aliases": [ "POLISCI 411" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "POLISCI 411", "course_uid": "course_6fea586d199f949f361d08ca", "term_id": "1222", "term_name": "Fall 2021", "instructors": [ "HOWARD SCHWEBER" ], "a": 32, "ab": 11, "b": 3, "bc": 0, "c": 0, "d": 0, "f": 3, "satisfactory": 2, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 51, "source_aliases": [ "POLISCI 411" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "POLISCI 411", "course_uid": "course_6fea586d199f949f361d08ca", "term_id": "1232", "term_name": "Fall 2022", "instructors": [ "HOWARD SCHWEBER" ], "a": 64, "ab": 19, "b": 7, "bc": 1, "c": 1, "d": 1, "f": 0, "satisfactory": 6, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 1, "not_reported": 0, "other": 0, "total": 100, "source_aliases": [ "POLISCI 411" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "POLISCI 411", "course_uid": "course_6fea586d199f949f361d08ca", "term_id": "1254", "term_name": "Spring 2025", "instructors": [ "GARRETT JONES" ], "a": 27, "ab": 12, "b": 6, "bc": 0, "c": 1, "d": 0, "f": 0, "satisfactory": 5, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 51, "source_aliases": [ "POLISCI 411" ] } ] ``` ### statistics #### gpa 3.286 #### graded 1739 #### counts * 539 * 498 * 393 * 159 * 106 * 27 * 17 ### grade conflicts None recorded. ### evidence #### history * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course\_6fea586d199f949f361d08ca-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course_6fea586d199f949f361d08ca-0.json) #### traces * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course\_6fea586d199f949f361d08ca-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course_6fea586d199f949f361d08ca-0.json) #### reviews * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/reviews/course\_6fea586d199f949f361d08ca-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/reviews/course_6fea586d199f949f361d08ca-0.json) #### meetings * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/meetings/course\_6fea586d199f949f361d08ca-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/meetings/course_6fea586d199f949f361d08ca-0.json) #### results * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course\_6fea586d199f949f361d08ca-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course_6fea586d199f949f361d08ca-0.json) ### revision e243353dcb7d79b7247ced91d69443ef4c2a6349 ## context ### all #### term #### gpa 3.2860839562967223 #### count 1739 #### university ##### size 4526 ##### gpa Percentile 12 ##### count Percentile 94 ##### median Count 151 ##### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 0 | false | | 2.4–2.8 | 17 | false | | 2.8–3.2 | 367 | false | | 3.2–3.6 | 1297 | true | | 3.6–4.0 | 2845 | false | #### departments ```json [ { "subject": "POLISCI", "comparison": { "size": 109, "gpaPercentile": 16, "countPercentile": 97, "medianCount": 120, "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": 42, "current": true }, { "range": "3.6–4.0", "count": 57, "current": false } ] } } ] ``` ### terms #### 1072 ##### term 1072 ##### gpa 3.0332103321033212 ##### count 271 ##### university ###### size 723 ###### gpa Percentile 22 ###### count Percentile 91 ###### median Count 67 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 1 | false | | 2.4–2.8 | 62 | false | | 2.8–3.2 | 174 | true | | 3.2–3.6 | 306 | false | | 3.6–4.0 | 180 | false | ##### departments ```json [ { "subject": "POLISCI", "comparison": { "size": 13, "gpaPercentile": 42, "countPercentile": 92, "medianCount": 88, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 1, "current": false }, { "range": "2.8–3.2", "count": 6, "current": true }, { "range": "3.2–3.6", "count": 5, "current": false }, { "range": "3.6–4.0", "count": 1, "current": false } ] } } ] ``` #### 1082 ##### term 1082 ##### gpa 3.0431654676258995 ##### count 139 ##### university ###### size 723 ###### gpa Percentile 21 ###### count Percentile 77 ###### median Count 68 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 1 | false | | 2.4–2.8 | 51 | false | | 2.8–3.2 | 202 | true | | 3.2–3.6 | 265 | false | | 3.6–4.0 | 204 | false | ##### departments ```json [ { "subject": "POLISCI", "comparison": { "size": 11, "gpaPercentile": 30, "countPercentile": 70, "medianCount": 102, "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": 5, "current": false }, { "range": "3.6–4.0", "count": 0, "current": false } ] } } ] ``` #### 1092 ##### term 1092 ##### gpa 3.102189781021898 ##### count 137 ##### university ###### size 732 ###### gpa Percentile 25 ###### count Percentile 76 ###### median Count 70 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 1 | false | | 2.4–2.8 | 41 | false | | 2.8–3.2 | 208 | true | | 3.2–3.6 | 271 | false | | 3.6–4.0 | 211 | false | ##### departments ```json [ { "subject": "POLISCI", "comparison": { "size": 11, "gpaPercentile": 50, "countPercentile": 60, "medianCount": 95, "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": 5, "current": false }, { "range": "3.6–4.0", "count": 0, "current": false } ] } } ] ``` #### 1102 ##### term 1102 ##### gpa 3.079710144927536 ##### count 138 ##### university ###### size 774 ###### gpa Percentile 24 ###### count Percentile 78 ###### median Count 67 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 1 | false | | 2.0–2.4 | 1 | false | | 2.4–2.8 | 49 | false | | 2.8–3.2 | 201 | true | | 3.2–3.6 | 287 | false | | 3.6–4.0 | 235 | false | ##### departments ```json [ { "subject": "POLISCI", "comparison": { "size": 14, "gpaPercentile": 46, "countPercentile": 69, "medianCount": 76.5, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 8, "current": true }, { "range": "3.2–3.6", "count": 5, "current": false }, { "range": "3.6–4.0", "count": 1, "current": false } ] } } ] ``` #### 1112 ##### term 1112 ##### gpa 3.178030303030303 ##### count 132 ##### university ###### size 805 ###### gpa Percentile 31 ###### count Percentile 78 ###### median Count 66 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 1 | false | | 2.4–2.8 | 45 | false | | 2.8–3.2 | 218 | true | | 3.2–3.6 | 316 | false | | 3.6–4.0 | 225 | false | ##### departments ```json [ { "subject": "POLISCI", "comparison": { "size": 13, "gpaPercentile": 50, "countPercentile": 75, "medianCount": 80, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 9, "current": true }, { "range": "3.2–3.6", "count": 3, "current": false }, { "range": "3.6–4.0", "count": 1, "current": false } ] } } ] ``` #### 1122 ##### term 1122 ##### gpa 3.003875968992248 ##### count 129 ##### university ###### size 804 ###### gpa Percentile 17 ###### count Percentile 77 ###### median Count 70 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 3 | false | | 2.4–2.8 | 47 | false | | 2.8–3.2 | 224 | true | | 3.2–3.6 | 282 | false | | 3.6–4.0 | 248 | false | ##### departments ```json [ { "subject": "POLISCI", "comparison": { "size": 14, "gpaPercentile": 15, "countPercentile": 62, "medianCount": 94.5, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 8, "current": true }, { "range": "3.2–3.6", "count": 5, "current": false }, { "range": "3.6–4.0", "count": 1, "current": false } ] } } ] ``` #### 1132 ##### term 1132 ##### gpa 3.316901408450704 ##### count 71 ##### university ###### size 851 ###### gpa Percentile 44 ###### count Percentile 52 ###### 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": "POLISCI", "comparison": { "size": 15, "gpaPercentile": 79, "countPercentile": 57, "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": 9, "current": false }, { "range": "3.2–3.6", "count": 5, "current": true }, { "range": "3.6–4.0", "count": 1, "current": false } ] } } ] ``` #### 1142 ##### term 1142 ##### gpa 3.5403225806451615 ##### count 62 ##### university ###### size 853 ###### gpa Percentile 64 ###### count Percentile 46 ###### 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": "POLISCI", "comparison": { "size": 14, "gpaPercentile": 85, "countPercentile": 54, "medianCount": 59.5, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 7, "current": false }, { "range": "3.2–3.6", "count": 5, "current": true }, { "range": "3.6–4.0", "count": 2, "current": false } ] } } ] ``` #### 1152 ##### term 1152 ##### gpa 3.4797979797979797 ##### count 99 ##### university ###### size 918 ###### gpa Percentile 58 ###### count Percentile 69 ###### 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": "POLISCI", "comparison": { "size": 14, "gpaPercentile": 69, "countPercentile": 69, "medianCount": 72.5, "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": 3, "current": false }, { "range": "3.2–3.6", "count": 7, "current": true }, { "range": "3.6–4.0", "count": 2, "current": false } ] } } ] ``` #### 1164 ##### term 1164 ##### gpa 3.316326530612245 ##### count 49 ##### university ###### size 965 ###### gpa Percentile 36 ###### count Percentile 33 ###### median Count 68 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 3 | false | | 2.4–2.8 | 37 | false | | 2.8–3.2 | 216 | false | | 3.2–3.6 | 319 | true | | 3.6–4.0 | 390 | false | ##### departments ```json [ { "subject": "POLISCI", "comparison": { "size": 14, "gpaPercentile": 46, "countPercentile": 23, "medianCount": 58, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 5, "current": false }, { "range": "3.2–3.6", "count": 3, "current": true }, { "range": "3.6–4.0", "count": 6, "current": false } ] } } ] ``` #### 1174 ##### term 1174 ##### gpa 3.63953488372093 ##### count 43 ##### university ###### size 955 ###### gpa Percentile 64 ###### count Percentile 24 ###### median Count 69 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 1 | false | | 2.4–2.8 | 29 | false | | 2.8–3.2 | 224 | false | | 3.2–3.6 | 332 | false | | 3.6–4.0 | 369 | true | ##### departments ```json [ { "subject": "POLISCI", "comparison": { "size": 18, "gpaPercentile": 65, "countPercentile": 18, "medianCount": 60, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 2, "current": false }, { "range": "3.2–3.6", "count": 8, "current": false }, { "range": "3.6–4.0", "count": 8, "current": true } ] } } ] ``` #### 1182 ##### term 1182 ##### gpa 3.5833333333333335 ##### count 48 ##### university ###### size 1025 ###### gpa Percentile 57 ###### count Percentile 30 ###### median Count 69 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 1 | false | | 2.4–2.8 | 21 | false | | 2.8–3.2 | 216 | false | | 3.2–3.6 | 369 | true | | 3.6–4.0 | 418 | false | ##### departments ```json [ { "subject": "POLISCI", "comparison": { "size": 27, "gpaPercentile": 85, "countPercentile": 27, "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": 6, "current": false }, { "range": "3.2–3.6", "count": 18, "current": true }, { "range": "3.6–4.0", "count": 3, "current": false } ] } } ] ``` #### 1192 ##### term 1192 ##### gpa 3.7115384615384617 ##### count 52 ##### university ###### size 1077 ###### gpa Percentile 67 ###### count Percentile 36 ###### median Count 67 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 1 | false | | 2.4–2.8 | 22 | false | | 2.8–3.2 | 203 | false | | 3.2–3.6 | 370 | false | | 3.6–4.0 | 481 | true | ##### departments ```json [ { "subject": "POLISCI", "comparison": { "size": 24, "gpaPercentile": 87, "countPercentile": 35, "medianCount": 71.5, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 7, "current": false }, { "range": "3.2–3.6", "count": 12, "current": false }, { "range": "3.6–4.0", "count": 5, "current": true } ] } } ] ``` #### 1204 ##### term 1204 ##### gpa 3.5174418604651163 ##### count 86 ##### university ###### size 1012 ###### gpa Percentile 22 ###### count Percentile 63 ###### median Count 65.5 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 0 | false | | 2.4–2.8 | 1 | false | | 2.8–3.2 | 25 | false | | 3.2–3.6 | 301 | true | | 3.6–4.0 | 685 | false | ##### departments ```json [ { "subject": "POLISCI", "comparison": { "size": 29, "gpaPercentile": 14, "countPercentile": 79, "medianCount": 59, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 0, "current": false }, { "range": "3.2–3.6", "count": 12, "current": true }, { "range": "3.6–4.0", "count": 17, "current": false } ] } } ] ``` #### 1212 ##### term 1212 ##### gpa 3.4947368421052634 ##### count 95 ##### university ###### size 1111 ###### gpa Percentile 36 ###### count Percentile 64 ###### median Count 68 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 0 | false | | 2.4–2.8 | 4 | false | | 2.8–3.2 | 159 | false | | 3.2–3.6 | 337 | true | | 3.6–4.0 | 611 | false | ##### departments ```json [ { "subject": "POLISCI", "comparison": { "size": 29, "gpaPercentile": 43, "countPercentile": 57, "medianCount": 73, "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": 14, "current": true }, { "range": "3.6–4.0", "count": 14, "current": false } ] } } ] ``` #### 1222 ##### term 1222 ##### gpa 3.5816326530612246 ##### count 49 ##### university ###### size 1157 ###### gpa Percentile 46 ###### count Percentile 35 ###### median Count 64 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 1 | false | | 2.4–2.8 | 17 | false | | 2.8–3.2 | 174 | false | | 3.2–3.6 | 351 | true | | 3.6–4.0 | 614 | false | ##### departments ```json [ { "subject": "POLISCI", "comparison": { "size": 32, "gpaPercentile": 48, "countPercentile": 42, "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": 1, "current": false }, { "range": "2.8–3.2", "count": 5, "current": false }, { "range": "3.2–3.6", "count": 11, "current": true }, { "range": "3.6–4.0", "count": 15, "current": false } ] } } ] ``` #### 1232 ##### term 1232 ##### gpa 3.752688172043011 ##### count 93 ##### university ###### size 1216 ###### gpa Percentile 63 ###### count Percentile 64 ###### 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 | false | | 3.6–4.0 | 670 | true | ##### departments ```json [ { "subject": "POLISCI", "comparison": { "size": 33, "gpaPercentile": 88, "countPercentile": 66, "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": 0, "current": false }, { "range": "2.8–3.2", "count": 5, "current": false }, { "range": "3.2–3.6", "count": 13, "current": false }, { "range": "3.6–4.0", "count": 15, "current": true } ] } } ] ``` #### 1254 ##### term 1254 ##### gpa 3.6956521739130435 ##### count 46 ##### university ###### size 1289 ###### gpa Percentile 51 ###### count Percentile 29 ###### median Count 66 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 0 | false | | 2.4–2.8 | 17 | false | | 2.8–3.2 | 128 | false | | 3.2–3.6 | 379 | false | | 3.6–4.0 | 765 | true | ##### departments ```json [ { "subject": "POLISCI", "comparison": { "size": 32, "gpaPercentile": 48, "countPercentile": 26, "medianCount": 55.5, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 0, "current": false }, { "range": "3.2–3.6", "count": 9, "current": false }, { "range": "3.6–4.0", "count": 23, "current": true } ] } } ] ``` ### benchmarks #### all ##### school ###### size 4526 ###### gpa 3.6505103003826025 ###### top Share 81.28858909647232 ###### count 151 ##### POLISCI ###### size 109 ###### gpa 3.5749193211731387 ###### top Share 79.04204829799339 ###### count 120 #### terms ##### 1072 ###### school ###### size 723 ###### gpa 3.344595727439471 ###### top Share 62.012941427864526 ###### count 67 ###### POLISCI ###### size 13 ###### gpa 3.1997463044343535 ###### top Share 54.23585365978644 ###### count 88 ##### 1082 ###### school ###### size 723 ###### gpa 3.3583896732335172 ###### top Share 62.932746798940194 ###### count 68 ###### POLISCI ###### size 11 ###### gpa 3.146214959311787 ###### top Share 50.7809183516562 ###### count 102 ##### 1092 ###### school ###### size 732 ###### gpa 3.374660709520374 ###### top Share 63.690339324346596 ###### count 70 ###### POLISCI ###### size 11 ###### gpa 3.1594093862343957 ###### top Share 49.96467915938485 ###### count 95 ##### 1102 ###### school ###### size 774 ###### gpa 3.36712622366007 ###### top Share 63.703228532165696 ###### count 67 ###### POLISCI ###### size 14 ###### gpa 3.1739664025187007 ###### top Share 53.18004491288821 ###### count 76.5 ##### 1112 ###### school ###### size 805 ###### gpa 3.3737773184830386 ###### top Share 63.91039244872789 ###### count 66 ###### POLISCI ###### size 13 ###### gpa 3.1364699536892355 ###### top Share 50.62364583449737 ###### count 80 ##### 1122 ###### school ###### size 804 ###### gpa 3.3737149752667013 ###### top Share 63.65118790117902 ###### count 70 ###### POLISCI ###### size 14 ###### gpa 3.2185323922052858 ###### top Share 55.38573023617504 ###### count 94.5 ##### 1132 ###### school ###### size 851 ###### gpa 3.391128778809763 ###### top Share 64.69509437122704 ###### count 66 ###### POLISCI ###### size 15 ###### gpa 3.182300079741595 ###### top Share 52.46119703858788 ###### count 70 ##### 1142 ###### school ###### size 853 ###### gpa 3.3941849959684913 ###### top Share 65.28450334228523 ###### count 67 ###### POLISCI ###### size 14 ###### gpa 3.2576110896081407 ###### top Share 56.95368098781108 ###### count 59.5 ##### 1152 ###### school ###### size 918 ###### gpa 3.408733538594633 ###### top Share 66.06693005846735 ###### count 65 ###### POLISCI ###### size 14 ###### gpa 3.301197196812184 ###### top Share 61.93891738722217 ###### count 72.5 ##### 1164 ###### school ###### size 965 ###### gpa 3.46491230798535 ###### top Share 69.92376287143657 ###### count 68 ###### POLISCI ###### size 14 ###### gpa 3.387238014237884 ###### top Share 65.7223661684711 ###### count 58 ##### 1174 ###### school ###### size 955 ###### gpa 3.4597947384071412 ###### top Share 69.5290038366363 ###### count 69 ###### POLISCI ###### size 18 ###### gpa 3.518685834115279 ###### top Share 75.71186270755474 ###### count 60 ##### 1182 ###### school ###### size 1025 ###### gpa 3.474159360325319 ###### top Share 70.34861441764347 ###### count 69 ###### POLISCI ###### size 27 ###### gpa 3.3945516326036986 ###### top Share 67.29292509440347 ###### count 57 ##### 1192 ###### school ###### size 1077 ###### gpa 3.50327634323125 ###### top Share 72.44641925727845 ###### count 67 ###### POLISCI ###### size 24 ###### gpa 3.3877472679471077 ###### top Share 66.73340391838997 ###### count 71.5 ##### 1204 ###### school ###### size 1012 ###### gpa 3.703747431523761 ###### top Share 84.59811226304916 ###### count 65.5 ###### POLISCI ###### size 29 ###### gpa 3.6515292898120917 ###### top Share 84.42435417336284 ###### count 59 ##### 1212 ###### school ###### size 1111 ###### gpa 3.5856416028074487 ###### top Share 77.58926748660845 ###### count 68 ###### POLISCI ###### size 29 ###### gpa 3.536672518177847 ###### top Share 76.4438470307079 ###### count 73 ##### 1222 ###### school ###### size 1157 ###### gpa 3.563052311875811 ###### top Share 76.64869058732418 ###### count 64 ###### POLISCI ###### size 32 ###### gpa 3.5006556757964944 ###### top Share 75.79663378946314 ###### count 50.5 ##### 1232 ###### school ###### size 1216 ###### gpa 3.575457431972425 ###### top Share 77.33712216234007 ###### count 66 ###### POLISCI ###### size 33 ###### gpa 3.5166781206385624 ###### top Share 75.8351096221922 ###### count 55 ##### 1254 ###### school ###### size 1289 ###### gpa 3.6126423469389106 ###### top Share 79.48050408754871 ###### count 66 ###### POLISCI ###### size 32 ###### gpa 3.654521141473103 ###### top Share 83.94942250442324 ###### count 55.5 ## instructor Trends ```json [ { "uid": "instructor_f9fa0ef7f39771751e9a0203", "name": "LIANE KOSAKI", "count": 857, "terms": [ { "term": "1082", "count": 139, "sections": 1, "gpa": 3.0431654676258995 }, { "term": "1092", "count": 137, "sections": 1, "gpa": 3.102189781021898 }, { "term": "1102", "count": 138, "sections": 1, "gpa": 3.079710144927536 }, { "term": "1112", "count": 132, "sections": 1, "gpa": 3.178030303030303 }, { "term": "1122", "count": 129, "sections": 1, "gpa": 3.003875968992248 }, { "term": "1132", "count": 71, "sections": 1, "gpa": 3.316901408450704 }, { "term": "1142", "count": 62, "sections": 1, "gpa": 3.5403225806451615 }, { "term": "1164", "count": 49, "sections": 1, "gpa": 3.316326530612245 } ] }, { "uid": "instructor_ac2d8ab56f7eb66833e23136", "name": "HOWARD SCHWEBER", "count": 565, "terms": [ { "term": "1152", "count": 99, "sections": 1, "gpa": 3.4797979797979797 }, { "term": "1174", "count": 43, "sections": 1, "gpa": 3.63953488372093 }, { "term": "1182", "count": 48, "sections": 1, "gpa": 3.5833333333333335 }, { "term": "1192", "count": 52, "sections": 1, "gpa": 3.7115384615384617 }, { "term": "1204", "count": 86, "sections": 1, "gpa": 3.5174418604651163 }, { "term": "1212", "count": 95, "sections": 1, "gpa": 3.4947368421052634 }, { "term": "1222", "count": 49, "sections": 1, "gpa": 3.5816326530612246 }, { "term": "1232", "count": 93, "sections": 1, "gpa": 3.752688172043011 } ] }, { "uid": "instructor_408cc389944b9659c84e9abb", "name": "DONALD ALEXANDER DOWNS", "count": 271, "terms": [ { "term": "1072", "count": 271, "sections": 1, "gpa": 3.0332103321033212 } ] }, { "uid": "instructor_316de11425e32a127bcf68bc", "name": "GARRETT JONES", "count": 46, "terms": [ { "term": "1254", "count": 46, "sections": 1, "gpa": 3.6956521739130435 } ] } ] ``` ## following None recorded.