# POLISCI 417: The American Judicial System | UW–Madison [View on UW Courses](https://uwcourses.com/courses/POLISCI_417) ## Dataset ### revision e243353dcb7d79b7247ced91d69443ef4c2a6349 ### repository twangodev/uwcourses ### schema version 6 ### importer version 7 ### projection id 52a78527ff09011d88cb04c7d43867d9fbfec2930bf1dd2ec359ebd2844e0b07 ### observed at 2026-09-07T15:55:43.033547+00:00 ### built at 2026-09-10T19:50:42.743001+00:00 ### courses 8951 ### current instructors 5754 ### limited false ### terms * 1272 * 1264 * 1262 * 1254 * 1252 * 1244 * 1242 * 1234 * 1232 * 1224 * 1222 * 1212 * 1204 * 1202 * 1194 * 1192 * 1184 * 1182 * 1174 * 1172 * 1164 * 1162 * 1154 * 1152 * 1144 * 1142 * 1134 * 1132 * 1124 * 1122 * 1114 * 1112 * 1104 * 1102 * 1094 * 1092 * 1084 * 1082 * 1074 * 1072 ### term 1272 ### departments | subject | count | | --------- | ----- | | AAE | 90 | | ABT | 20 | | ACCTIS | 36 | | ACTSCI | 14 | | AFAERO | 10 | | AFRICAN | 87 | | AFROAMER | 71 | | AGROECOL | 21 | | AMERIND | 53 | | ANAT\&PHY | 7 | | ANATOMY | 2 | | ANESTHES | 8 | | ANSCI | 57 | | ANTHRO | 95 | | ART | 125 | | ARTED | 10 | | ARTHIST | 121 | | ASIALANG | 129 | | ASIAN | 109 | | ASIANAM | 28 | | ASTRON | 38 | | ATMOCN | 69 | | BIOCHEM | 51 | | BIOCORE | 10 | | BIOLOGY | 14 | | BIOMDSCI | 18 | | BME | 66 | | BMI | 41 | | BMOLCHEM | 10 | | BOTANY | 69 | | BSE | 44 | | C\&ESOC | 73 | | CBE | 48 | | CHEM | 101 | | CHICLA | 52 | | CIVENGR | 133 | | CLASSICS | 47 | | CNP | 10 | | CNSRSCI | 50 | | COMARTS | 137 | | COMPBIO | 15 | | COMPLIT | 11 | | COMPSCI | 138 | | COUNPSY | 78 | | CRB | 19 | | CS\&D | 71 | | CSCS | 40 | | CURRIC | 193 | | DANCE | 93 | | DERM | 8 | | DS | 88 | | DYSCI | 35 | | ECE | 155 | | ECON | 145 | | EDPOL | 114 | | EDPSYCH | 97 | | ELPA | 70 | | EMA | 53 | | EMERMED | 17 | | ENGL | 206 | | ENTOM | 40 | | ENVIRST | 148 | | EP | 15 | | EPD | 67 | | ESL | 16 | | F\&WECOL | 60 | | FAMMED | 22 | | FINANCE | 50 | | FOLKLORE | 40 | | FOODSCI | 43 | | FRENCH | 63 | | GEN\&WS | 145 | | GENBUS | 72 | | GENECSLR | 17 | | GENETICS | 60 | | GEOG | 113 | | GEOSCI | 83 | | GERMAN | 82 | | GLE | 48 | | GNS | 38 | | GREEK | 27 | | HDFS | 41 | | HEBR-BIB | 13 | | HEBR-MOD | 10 | | HISTORY | 233 | | HISTSCI | 56 | | HONCOL | 13 | | ILS | 43 | | INFOSYS | 9 | | INTEGART | 7 | | INTEGSCI | 22 | | INTER-AG | 18 | | INTER-HE | 11 | | INTER-LS | 22 | | INTEREGR | 16 | | INTLBUS | 21 | | INTLST | 50 | | ISYE | 83 | | ITALIAN | 53 | | JEWISH | 56 | | JOURN | 88 | | KINES | 128 | | LACIS | 26 | | LANDARC | 61 | | LATIN | 24 | | LAW | 120 | | LEGALST | 48 | | LINGUIS | 35 | | LIS | 89 | | LITTRANS | 78 | | LSC | 52 | | M\&ENVTOX | 7 | | MARKETNG | 62 | | MATH | 153 | | MDGENET | 8 | | ME | 130 | | MEDHIST | 43 | | MEDICINE | 60 | | MEDIEVAL | 32 | | MEDPHYS | 39 | | MEDSC-M | 29 | | MEDSC-V | 41 | | MHR | 68 | | MICROBIO | 45 | | MILSCI | 16 | | MM\&I | 22 | | MOLBIOL | 6 | | MS\&E | 59 | | MUSIC | 165 | | MUSPERF | 126 | | NAVSCI | 20 | | NE | 44 | | NEURODPT | 11 | | NEUROL | 7 | | NEURSURG | 4 | | NTP | 11 | | NURSING | 111 | | NUTRSCI | 65 | | OBS\&GYN | 18 | | OCCTHER | 39 | | ONCOLOGY | 14 | | OPHTHALM | 5 | | OTM | 43 | | PATH | 34 | | PATH-BIO | 29 | | PEDIAT | 26 | | PHARMACY | 31 | | PHILOS | 77 | | PHMCOL-M | 11 | | PHMPRAC | 45 | | PHMSCI | 60 | | PHYASST | 37 | | PHYSICS | 88 | | PHYSIOL | 3 | | PHYTHER | 37 | | PLANTSCI | 52 | | PLPATH | 35 | | POLISCI | 192 | | POPHLTH | 58 | | PORTUG | 33 | | PSYCH | 101 | | PSYCHIAT | 22 | | PUBAFFR | 54 | | PUBLHLTH | 23 | | RADIOL | 11 | | REALEST | 41 | | RELIGST | 90 | | RHABMED | 9 | | RMI | 24 | | RP\&SE | 102 | | S\&APHM | 17 | | SCANDST | 73 | | SLAVIC | 89 | | SOC | 149 | | SOCWORK | 87 | | SOILSCI | 46 | | SPANISH | 83 | | SRMED | 21 | | STAT | 94 | | STDYABRD | 52 | | STS | 8 | | SURGERY | 25 | | SURGSCI | 33 | | THEATRE | 91 | | URBRPL | 60 | | UROLOGY | 5 | | ZOOLOGY | 89 | ## course ### run id 20260907T155543-ce3781c4 ### semester 1272 ### observed at 2026-09-07 15:55:43.033547+00:00 ### record version id b25be118b9dbe31b0df97655bdd8eceb63df82e71859c7380f85cce55a562ee7 ### course id POLISCI 417 ### course uid course\_628c34aad4628d12b8673759 ### catalog version id 46c2cf292655c0ed4486f40311777823d9d9c698c12ddfde98c2c2b75ba846bf ### course number 417 ### subjects * POLISCI ### title THE AMERICAN JUDICIAL SYSTEM ### description Structure, process, and personnel of American courts; emphasis on the governmental and political consequences of court decisions for public policy-making. ### requirements text Sophomore standing and (POLI SCI 104, 184, orLEGAL ST/​POLI SCI  217) ### credits min 3 ### credits max 4 ### credit offering ids * 1272:778:015926 ### llm job id enrich-8b774950c2b6adfdc46d1b82 ### llm output id b08e2f1c0d18f9d0519d666ae3e57a63c01aa2c9c661d1a96deb973e27ef5cef ### llm model nvidia/Qwen3.6-35B-A3B-NVFP4 ### llm model revision 1355db6a052410cfd62085d94b58866fd0f2c3c5 ### llm task version 14 ### llm search status valid ### llm summary An examination of the American judicial system, focusing on court structure, process, and the political impact of judicial decisions on public policy. ### llm topics * Structure, process, and personnel of American courts * Political consequences of court decisions for public policy-making ### llm skills * Understanding the structure, process, and personnel of American courts and their political consequences. ### llm assumed background * Basic institutions of American government and introduction to the legal process. ### llm search phrases * American courts public policy * judicial process political science * POLISCI 417 judicial system ### llm requirements status valid ### llm student summary status valid ### llm experience status insufficient\_evidence ### catalog variants None recorded. ### student summary #### context hash 183697b975f035db0c6c54e46e67a6d49abcb3b3424825d70fd3ecde4c26a585 #### course id POLISCI 417 #### current instructors ```json [ { "instructor_uid": "instructor_0b817b4dd6147fbe9b2b79e4", "message": "No course-specific reviews available", "name": "Alex Tahk", "review_status": "no_course_reviews", "rmp_instructor_id": null, "summary": [] } ] ``` #### difficulty workload None recorded. #### errors None recorded. #### historical context Historical reviews for Bert Kritzer provide no textual comments. The single review contains no qualitative assessment of the course or instructor. ```json { "citations": [ { "instructor_name": "Bert Kritzer", "review_date": "2006-05-03 22:33:51 +0000 UTC", "review_id": "b457c298aecd102c55e06d4f", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:297706", "source_review_id": "UmF0aW5nLTExODE2NzM0", "source_url": "https://www.ratemyprofessors.com/professor/297706", "type": "review" } ] } ``` #### offered true #### profile hash 5cb4dabf887cdbcd8c00d5a1312e10828b95c63f30bc3ea76aea199565390d02 #### quick take A historical review from 2006 by Bert Kritzer provides a quality rating of 5, though the comment field is empty. ```json { "citations": [ { "instructor_name": "Bert Kritzer", "review_date": "2006-05-03 22:33:51 +0000 UTC", "review_id": "b457c298aecd102c55e06d4f", "run_id": "20260907T155543-ce3781c4", "source_instructor_id": "rmp:297706", "source_review_id": "UmF0aW5nLTExODE2NzM0", "source_url": "https://www.ratemyprofessors.com/professor/297706", "type": "review" } ] } ``` Recent recorded grades — Fall 2023: 3.60 GPA, 69.4% A/AB (n=49 letter grades); Spring 2025: 3.49 GPA, 76.9% A/AB (n=39 letter grades); Fall 2025: 3.56 GPA, 75.0% A/AB (n=36 letter grades). ```json { "citations": [ { "course_id": "POLISCI 417", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "8e1db95d-86d9-3582-a971-dac7a6cab63f", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1242", "type": "grade" }, { "course_id": "POLISCI 417", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "8e1db95d-86d9-3582-a971-dac7a6cab63f", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1254", "type": "grade" }, { "course_id": "POLISCI 417", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "8e1db95d-86d9-3582-a971-dac7a6cab63f", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1262", "type": "grade" } ] } ``` #### student experience None recorded. #### task hash 74fb0997943e888960bbc9e47db8c4fd12e4292d55c20509d8d89db6a9910f68 #### teaching history HERBERT M KRITZER is recorded teaching in Spring 2007. Recorded history may be incomplete and does not establish a future schedule. ```json { "citations": [ { "course_id": "POLISCI 417", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "8e1db95d-86d9-3582-a971-dac7a6cab63f", "source_record": { "entity_id": "8e1db95d-86d9-3582-a971-dac7a6cab63f", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1074", "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 104, 184, orLEGAL ST/POLI SCI 217)", "id": "n0", "kind": "all" }, { "children": [], "condition": "Sophomore standing", "course": null, "evidence": "Sophomore standing", "id": "n1", "kind": "condition" }, { "children": [ "n3", "n4", "n5" ], "condition": null, "course": null, "evidence": "(POLI SCI 104, 184, orLEGAL ST/POLI SCI 217)", "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" }, { "children": [], "condition": null, "course": { "course_number": 217, "minimum_grade": null, "subjects": [ "LEGALST", "POLISCI" ], "timing": "prior" }, "evidence": "LEGAL ST/POLI SCI 217", "id": "n5", "kind": "course" } ] ``` #### notes None recorded. #### 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\_0b817b4dd6147fbe9b2b79e4 | enrollment | atahk | netid | source\_identified | Alex Tahk | ATAHK\@WISC.EDU | 2026-09-07 15:55:43.033547+00:00 | 2026-09-07 15:55:43.033547+00:00 | /instructors/ALEX\_TAHK | | instructor\_f1f41966f49005dcc21be1f2 | enrollment | efleshman | netid | source\_identified | Evan Fleshman | EFLESHMAN\@WISC.EDU | 2026-09-07 15:55:43.033547+00:00 | 2026-09-07 15:55:43.033547+00:00 | /instructors/EVAN\_FLESHMAN | ### offerings ```json [ { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "offering_id": "1272:778:015926", "course_id": "POLISCI 417", "course_uid": "course_628c34aad4628d12b8673759", "term_id": "1272", "source_course_id": "015926", "source_subject_id": "778", "title": "The American Judicial System", "credits_min": 3, "credits_max": 4, "typically_offered": "Fall, Spring, Summer" } ] ``` ### sections ```json [ { "run_id": "20260907T155543-ce3781c4", "observed_at": "2026-09-07 15:55:43.033547+00:00", "section_uid": "uw-section:1272:32349", "term_id": "1272", "source_section_id": "32349", "identity_basis": "class_number", "section_number": "001", "section_type": "LEC", "instruction_mode": "Classroom Instruction", "capacity": 51, "enrolled": 51, "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:1272:32350", "term_id": "1272", "source_section_id": "32350", "identity_basis": "class_number", "section_number": "302", "section_type": "DIS", "instruction_mode": "Classroom Instruction", "capacity": 17, "enrolled": 17, "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:1272:32351", "term_id": "1272", "source_section_id": "32351", "identity_basis": "class_number", "section_number": "303", "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:1272:32352", "term_id": "1272", "source_section_id": "32352", "identity_basis": "class_number", "section_number": "304", "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:1272:33885", "term_id": "1272", "source_section_id": "33885", "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_e55127154388328066486ee8", "source": "madgrades", "source_instructor_id": "250164", "identity_basis": "source_id", "identity_status": "source_identified", "name": "HERBERT M KRITZER", "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": 3.067, "graded": 45, "counts": [ 6, 11, 18, 3, 7, 0, 0 ], "sections": 10 }, "instructor_url": "/instructors/HERBERT_M_KRITZER--instructor_e55127154388328066486ee8" }, { "instructor_uid": "instructor_ab063b95d415c377805cd469", "source": "madgrades", "source_instructor_id": "4757404", "identity_basis": "source_id", "identity_status": "source_identified", "name": "ALEXANDER TAHK", "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": 7, "quality": 2.86, "difficulty": 3.29, "quality_count": 7, "difficulty_count": 7, "profile_id": "rmp:1670622", "source_url": "https://www.ratemyprofessors.com/professor/1670622", "match_basis": "exact_name", "observed_at": "2026-09-07 16:56:53.810311+00:00", "courses": {}, "bayesian_quality": 3.4523598396641444, "prior_mean": 3.6596857835465957, "prior_weight": 20 }, "grade_statistics": { "gpa": 3.508, "graded": 769, "counts": [ 336, 233, 125, 52, 14, 5, 4 ], "sections": 76 }, "instructor_url": "/instructors/ALEXANDER_TAHK--instructor_ab063b95d415c377805cd469" }, { "instructor_uid": "instructor_0b817b4dd6147fbe9b2b79e4", "source": "enrollment", "source_instructor_id": "atahk", "identity_basis": "netid", "identity_status": "source_identified", "name": "Alex Tahk", "email": "ATAHK@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/ALEX_TAHK" }, { "instructor_uid": "instructor_f1f41966f49005dcc21be1f2", "source": "enrollment", "source_instructor_id": "efleshman", "identity_basis": "netid", "identity_status": "source_identified", "name": "Evan Fleshman", "email": "EFLESHMAN@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/EVAN_FLESHMAN" } ] ``` ### grades ```json [ { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "POLISCI 417", "course_uid": "course_628c34aad4628d12b8673759", "term_id": "1074", "term_name": "Spring 2007", "instructors": [ "HERBERT M KRITZER" ], "a": 5, "ab": 8, "b": 9, "bc": 2, "c": 5, "d": 0, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 29, "source_aliases": [ "POLISCI 417" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "POLISCI 417", "course_uid": "course_628c34aad4628d12b8673759", "term_id": "1114", "term_name": "Spring 2011", "instructors": [ "ALEXANDER TAHK" ], "a": 17, "ab": 13, "b": 17, "bc": 9, "c": 2, "d": 3, "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 417" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "POLISCI 417", "course_uid": "course_628c34aad4628d12b8673759", "term_id": "1122", "term_name": "Fall 2011", "instructors": [ "ALEXANDER TAHK" ], "a": 16, "ab": 24, "b": 14, "bc": 9, "c": 1, "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": 66, "source_aliases": [ "POLISCI 417" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "POLISCI 417", "course_uid": "course_628c34aad4628d12b8673759", "term_id": "1132", "term_name": "Fall 2012", "instructors": [ "ALEXANDER TAHK" ], "a": 14, "ab": 26, "b": 13, "bc": 8, "c": 2, "d": 0, "f": 3, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 66, "source_aliases": [ "POLISCI 417" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "POLISCI 417", "course_uid": "course_628c34aad4628d12b8673759", "term_id": "1142", "term_name": "Fall 2013", "instructors": [ "ALEXANDER TAHK" ], "a": 13, "ab": 16, "b": 11, "bc": 4, "c": 0, "d": 1, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 45, "source_aliases": [ "POLISCI 417" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "POLISCI 417", "course_uid": "course_628c34aad4628d12b8673759", "term_id": "1152", "term_name": "Fall 2014", "instructors": [ "ALEXANDER TAHK" ], "a": 11, "ab": 7, "b": 7, "bc": 2, "c": 2, "d": 0, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 29, "source_aliases": [ "POLISCI 417" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "POLISCI 417", "course_uid": "course_628c34aad4628d12b8673759", "term_id": "1174", "term_name": "Spring 2017", "instructors": [ "ALEXANDER TAHK" ], "a": 17, "ab": 14, "b": 13, "bc": 6, "c": 1, "d": 0, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 51, "source_aliases": [ "POLISCI 417" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "POLISCI 417", "course_uid": "course_628c34aad4628d12b8673759", "term_id": "1182", "term_name": "Fall 2017", "instructors": [ "ALEXANDER TAHK" ], "a": 15, "ab": 11, "b": 15, "bc": 5, "c": 2, "d": 0, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 48, "source_aliases": [ "POLISCI 417" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "POLISCI 417", "course_uid": "course_628c34aad4628d12b8673759", "term_id": "1204", "term_name": "Spring 2020", "instructors": [ "ALEXANDER TAHK" ], "a": 18, "ab": 21, "b": 5, "bc": 0, "c": 1, "d": 0, "f": 0, "satisfactory": 4, "unsatisfactory": 2, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 51, "source_aliases": [ "POLISCI 417" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "POLISCI 417", "course_uid": "course_628c34aad4628d12b8673759", "term_id": "1242", "term_name": "Fall 2023", "instructors": [ "ALEXANDER TAHK" ], "a": 28, "ab": 6, "b": 13, "bc": 1, "c": 1, "d": 0, "f": 0, "satisfactory": 3, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 52, "source_aliases": [ "POLISCI 417" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "POLISCI 417", "course_uid": "course_628c34aad4628d12b8673759", "term_id": "1254", "term_name": "Spring 2025", "instructors": [ "ALEXANDER TAHK" ], "a": 17, "ab": 13, "b": 2, "bc": 5, "c": 2, "d": 0, "f": 0, "satisfactory": 1, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 1, "not_reported": 0, "other": 0, "total": 41, "source_aliases": [ "POLISCI 417" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "POLISCI 417", "course_uid": "course_628c34aad4628d12b8673759", "term_id": "1262", "term_name": "Fall 2025", "instructors": [ "ALEXANDER TAHK" ], "a": 16, "ab": 11, "b": 6, "bc": 3, "c": 0, "d": 0, "f": 0, "satisfactory": 1, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 37, "source_aliases": [ "POLISCI 417" ] } ] ``` ### statistics #### gpa 3.362 #### graded 564 #### counts * 187 * 170 * 125 * 54 * 19 * 5 * 4 ### grade conflicts None recorded. ### evidence #### history * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course\_628c34aad4628d12b8673759-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course_628c34aad4628d12b8673759-0.json) #### traces * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course\_628c34aad4628d12b8673759-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course_628c34aad4628d12b8673759-0.json) #### reviews * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/reviews/course\_628c34aad4628d12b8673759-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/reviews/course_628c34aad4628d12b8673759-0.json) #### meetings * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/meetings/course\_628c34aad4628d12b8673759-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/meetings/course_628c34aad4628d12b8673759-0.json) #### results * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course\_628c34aad4628d12b8673759-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course_628c34aad4628d12b8673759-0.json) ### revision e243353dcb7d79b7247ced91d69443ef4c2a6349 ## context ### all #### term #### gpa 3.3617021276595747 #### count 564 #### university ##### size 4377 ##### gpa Percentile 17 ##### count Percentile 87 ##### median Count 119 ##### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 2 | false | | 2.4–2.8 | 9 | false | | 2.8–3.2 | 355 | false | | 3.2–3.6 | 1271 | true | | 3.6–4.0 | 2740 | false | #### departments ```json [ { "subject": "POLISCI", "comparison": { "size": 104, "gpaPercentile": 21, "countPercentile": 88, "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": 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": 41, "current": true }, { "range": "3.6–4.0", "count": 54, "current": false } ] } } ] ``` ### terms #### 1074 ##### term 1074 ##### gpa 3.103448275862069 ##### count 29 ##### departments | subject | comparison | | ------- | ---------- | | POLISCI | | #### 1114 ##### term 1114 ##### gpa 3.129032258064516 ##### count 62 ##### university ###### size 804 ###### gpa Percentile 29 ###### count Percentile 45 ###### median Count 68 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 1 | false | | 2.4–2.8 | 53 | false | | 2.8–3.2 | 231 | true | | 3.2–3.6 | 292 | false | | 3.6–4.0 | 227 | false | ##### departments ```json [ { "subject": "POLISCI", "comparison": { "size": 12, "gpaPercentile": 27, "countPercentile": 18, "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": 1, "current": false }, { "range": "2.8–3.2", "count": 4, "current": true }, { "range": "3.2–3.6", "count": 5, "current": false }, { "range": "3.6–4.0", "count": 2, "current": false } ] } } ] ``` #### 1122 ##### term 1122 ##### gpa 3.3153846153846156 ##### count 65 ##### university ###### size 804 ###### gpa Percentile 45 ###### count Percentile 47 ###### 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": "POLISCI", "comparison": { "size": 14, "gpaPercentile": 69, "countPercentile": 23, "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": false }, { "range": "3.2–3.6", "count": 5, "current": true }, { "range": "3.6–4.0", "count": 1, "current": false } ] } } ] ``` #### 1132 ##### term 1132 ##### gpa 3.1818181818181817 ##### count 66 ##### university ###### size 851 ###### gpa Percentile 31 ###### count Percentile 50 ###### median Count 66 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 2 | false | | 2.4–2.8 | 40 | false | | 2.8–3.2 | 234 | true | | 3.2–3.6 | 303 | false | | 3.6–4.0 | 272 | false | ##### departments ```json [ { "subject": "POLISCI", "comparison": { "size": 15, "gpaPercentile": 57, "countPercentile": 29, "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": true }, { "range": "3.2–3.6", "count": 5, "current": false }, { "range": "3.6–4.0", "count": 1, "current": false } ] } } ] ``` #### 1142 ##### term 1142 ##### gpa 3.3777777777777778 ##### count 45 ##### university ###### size 853 ###### gpa Percentile 49 ###### count Percentile 28 ###### 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": 69, "countPercentile": 23, "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 3.396551724137931 ##### count 29 ##### departments | subject | comparison | | ------- | ---------- | | POLISCI | | #### 1174 ##### term 1174 ##### gpa 3.392156862745098 ##### count 51 ##### university ###### size 955 ###### gpa Percentile 42 ###### count Percentile 35 ###### 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 | true | | 3.6–4.0 | 369 | false | ##### departments ```json [ { "subject": "POLISCI", "comparison": { "size": 18, "gpaPercentile": 35, "countPercentile": 41, "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": true }, { "range": "3.6–4.0", "count": 8, "current": false } ] } } ] ``` #### 1182 ##### term 1182 ##### gpa 3.3333333333333335 ##### count 48 ##### university ###### size 1025 ###### gpa Percentile 35 ###### 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": 38, "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 } ] } } ] ``` #### 1204 ##### term 1204 ##### gpa 3.611111111111111 ##### count 45 ##### university ###### size 1012 ###### gpa Percentile 34 ###### count Percentile 29 ###### 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 | false | | 3.6–4.0 | 685 | true | ##### departments ```json [ { "subject": "POLISCI", "comparison": { "size": 29, "gpaPercentile": 43, "countPercentile": 18, "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": false }, { "range": "3.6–4.0", "count": 17, "current": true } ] } } ] ``` #### 1242 ##### term 1242 ##### gpa 3.6020408163265305 ##### count 49 ##### university ###### size 1295 ###### gpa Percentile 45 ###### count Percentile 37 ###### median Count 67 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 2 | false | | 2.4–2.8 | 11 | false | | 2.8–3.2 | 162 | false | | 3.2–3.6 | 394 | false | | 3.6–4.0 | 726 | true | ##### departments ```json [ { "subject": "POLISCI", "comparison": { "size": 31, "gpaPercentile": 63, "countPercentile": 43, "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": 4, "current": false }, { "range": "3.2–3.6", "count": 14, "current": false }, { "range": "3.6–4.0", "count": 13, "current": true } ] } } ] ``` #### 1254 ##### term 1254 ##### gpa 3.4871794871794872 ##### count 39 ##### university ###### size 1289 ###### gpa Percentile 31 ###### count Percentile 19 ###### median Count 66 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 0 | false | | 2.4–2.8 | 17 | false | | 2.8–3.2 | 128 | false | | 3.2–3.6 | 379 | true | | 3.6–4.0 | 765 | false | ##### departments ```json [ { "subject": "POLISCI", "comparison": { "size": 32, "gpaPercentile": 23, "countPercentile": 10, "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": true }, { "range": "3.6–4.0", "count": 23, "current": false } ] } } ] ``` #### 1262 ##### term 1262 ##### gpa 3.5555555555555554 ##### count 36 ##### university ###### size 1320 ###### gpa Percentile 35 ###### count Percentile 13 ###### 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": "POLISCI", "comparison": { "size": 33, "gpaPercentile": 22, "countPercentile": 6, "medianCount": 79, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 0, "current": false }, { "range": "3.2–3.6", "count": 10, "current": true }, { "range": "3.6–4.0", "count": 23, "current": false } ] } } ] ``` ### benchmarks #### all ##### school ###### size 4377 ###### gpa 3.6510289539388925 ###### top Share 81.2865910815103 ###### count 119 ##### POLISCI ###### size 104 ###### gpa 3.5711532864307625 ###### top Share 79.28094402720828 ###### count 103 #### terms ##### 1074 ###### school ###### size 695 ###### gpa 3.3616924722887376 ###### top Share 63.22509110105764 ###### count 69 ###### POLISCI ###### size 14 ###### gpa 3.268596258997659 ###### top Share 60.70808904525222 ###### count 98 ##### 1114 ###### school ###### size 804 ###### gpa 3.3696004653806844 ###### top Share 64.0389334741844 ###### count 68 ###### POLISCI ###### size 12 ###### gpa 3.2185088366768486 ###### top Share 56.22209935190565 ###### count 95 ##### 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 ##### 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 ##### 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 ##### 1242 ###### school ###### size 1295 ###### gpa 3.595302892737449 ###### top Share 78.36291889885307 ###### count 67 ###### POLISCI ###### size 31 ###### gpa 3.5305358829108964 ###### top Share 77.33733829427872 ###### count 52 ##### 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 ##### 1262 ###### school ###### size 1320 ###### gpa 3.628825763035853 ###### top Share 80.21118846327654 ###### count 70 ###### POLISCI ###### size 33 ###### gpa 3.6552318292491512 ###### top Share 84.17209946246977 ###### count 79 ## instructor Trends ```json [ { "uid": "instructor_ab063b95d415c377805cd469", "name": "ALEXANDER TAHK", "count": 535, "terms": [ { "term": "1114", "count": 62, "sections": 1, "gpa": 3.129032258064516 }, { "term": "1122", "count": 65, "sections": 1, "gpa": 3.3153846153846156 }, { "term": "1132", "count": 66, "sections": 1, "gpa": 3.1818181818181817 }, { "term": "1142", "count": 45, "sections": 1, "gpa": 3.3777777777777778 }, { "term": "1152", "count": 29, "sections": 1, "gpa": 3.396551724137931 }, { "term": "1174", "count": 51, "sections": 1, "gpa": 3.392156862745098 }, { "term": "1182", "count": 48, "sections": 1, "gpa": 3.3333333333333335 }, { "term": "1204", "count": 45, "sections": 1, "gpa": 3.611111111111111 }, { "term": "1242", "count": 49, "sections": 1, "gpa": 3.6020408163265305 }, { "term": "1254", "count": 39, "sections": 1, "gpa": 3.4871794871794872 }, { "term": "1262", "count": 36, "sections": 1, "gpa": 3.5555555555555554 } ] }, { "uid": "instructor_e55127154388328066486ee8", "name": "HERBERT M KRITZER", "count": 29, "terms": [ { "term": "1074", "count": 29, "sections": 1, "gpa": 3.103448275862069 } ] } ] ``` ## following None recorded.