# POLISCI 345: Conflict Resolution | UW–Madison [View on UW Courses](https://uwcourses.com/courses/POLISCI_345) ## 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 11fb2598419df707e2ddd58ad38dfd08035cc0db847aa9aac6a0ea7bc96b894e ### course id POLISCI 345 ### course uid course\_81457589fe454e0a547f15dd ### catalog version id 629ef26d1ef98c7fb81b2b38a44f2ad7ec6ae72368358b9c774d5402599c54a7 ### course number 345 ### subjects * POLISCI ### title CONFLICT RESOLUTION ### description Every war comes to an end, but some end sooner than others. This course analyzes why and how conflicts come to an end, discussion relevant theories of conflict and conflict resolution, and important cases. Not open to students with credit for POLI SCI 378 prior to fall 2017 ### requirements text Sophomore standing and (POLI SCI 140orINTL ST 101) or (POLI SCI 103 taken prior to fall 2017) or graduate standing ### credit offering ids None recorded. ### llm job id enrich-8b774950c2b6adfdc46d1b82 ### llm output id 9f0a81058958cdc2b82c084873ae3ecc27458d530ff2d8cebf1abd8769294240 ### llm model nvidia/Qwen3.6-35B-A3B-NVFP4 ### llm model revision 1355db6a052410cfd62085d94b58866fd0f2c3c5 ### llm task version 14 ### llm search status valid ### llm summary POLISCI 345 analyzes the causes and theories of conflict termination through case studies. ### llm topics * Conflict resolution theories. * Case studies of conflict termination. ### llm skills * Analysis of conflict termination factors. * Application of conflict resolution theories. ### llm assumed background * Foundational knowledge in international relations or international studies, including causes of war and global patterns. ### llm search phrases * conflict resolution theories * war termination * international relations prerequisites ### llm requirements status valid ### llm student summary status valid ### llm experience status insufficient\_evidence ### catalog variants None recorded. ### student summary #### context hash 695d8b5352aa2eeb748cb561cf63f53e9dbf11d21b34f780cca8a28c64e9b72a #### course id POLISCI 345 #### current instructors None recorded. #### difficulty workload None recorded. #### errors None recorded. #### historical context None recorded. #### message No course-specific reviews available #### offered false #### profile hash 5cb4dabf887cdbcd8c00d5a1312e10828b95c63f30bc3ea76aea199565390d02 #### quick take Recent recorded grades — Fall 2020: 3.52 GPA, 77.5% A/AB (n=71 letter grades); Spring 2022: 3.09 GPA, 52.9% A/AB (n=70 letter grades); Fall 2024: 3.20 GPA, 54.0% A/AB (n=50 letter grades). ```json { "citations": [ { "course_id": "POLISCI 345", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "d241fdc4-a2d1-3f44-8e02-0a222bca6d28", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1212", "type": "grade" }, { "course_id": "POLISCI 345", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "d241fdc4-a2d1-3f44-8e02-0a222bca6d28", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1224", "type": "grade" }, { "course_id": "POLISCI 345", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "d241fdc4-a2d1-3f44-8e02-0a222bca6d28", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1252", "type": "grade" } ] } ``` #### student experience None recorded. #### task hash 74fb0997943e888960bbc9e47db8c4fd12e4292d55c20509d8d89db6a9910f68 #### teaching history None recorded. #### term id 1272 #### term name 2026 Fall #### version 2 ### requirements #### nodes ```json [ { "children": [ "n1", "n2", "n3" ], "condition": null, "course": null, "evidence": "Sophomore standing and (POLI SCI 140orINTL ST 101) or (POLI SCI 103 taken prior to fall 2017) or graduate standing", "id": "n0", "kind": "any" }, { "children": [ "n4", "n5" ], "condition": null, "course": null, "evidence": "Sophomore standing and (POLI SCI 140orINTL ST 101)", "id": "n1", "kind": "all" }, { "children": [], "condition": "POLI SCI 103 taken prior to fall 2017", "course": null, "evidence": "POLI SCI 103 taken prior to fall 2017", "id": "n2", "kind": "condition" }, { "children": [], "condition": "graduate standing", "course": null, "evidence": "graduate standing", "id": "n3", "kind": "condition" }, { "children": [], "condition": "Sophomore standing", "course": null, "evidence": "Sophomore standing", "id": "n4", "kind": "condition" }, { "children": [ "n6", "n7" ], "condition": null, "course": null, "evidence": "(POLI SCI 140orINTL ST 101)", "id": "n5", "kind": "any" }, { "children": [], "condition": null, "course": { "course_number": 140, "minimum_grade": null, "subjects": [ "POLISCI" ], "timing": "prior" }, "evidence": "POLI SCI 140", "id": "n6", "kind": "course" }, { "children": [], "condition": null, "course": { "course_number": 101, "minimum_grade": null, "subjects": [ "INTLST" ], "timing": "prior" }, "evidence": "INTL ST 101", "id": "n7", "kind": "course" } ] ``` #### notes * POLI SCI 103 is not in linked\_courses; treated as verbatim condition requiring review. #### root n0 #### status parsed ### instructors None recorded. ### offerings None recorded. ### sections None recorded. ### grade instructors ```json [ { "instructor_uid": "instructor_4763e87370d856ad424f4a1e", "source": "madgrades", "source_instructor_id": "4308518", "identity_basis": "source_id", "identity_status": "source_identified", "name": "ANDREW KYDD", "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": 43, "quality": 3.26, "difficulty": 3.47, "quality_count": 43, "difficulty_count": 43, "profile_id": "rmp:1043300", "source_url": "https://www.ratemyprofessors.com/professor/1043300", "match_basis": "exact_name", "observed_at": "2026-09-07 16:55:25.462971+00:00", "courses": { "course_b618f3b6fddfe8f0d46b0296": { "review_count": 4, "quality": 2, "difficulty": 2.5, "quality_count": 4, "difficulty_count": 4 }, "course_06dafc75d411dce45dc57976": { "review_count": 1, "quality": 5, "difficulty": 2, "quality_count": 1, "difficulty_count": 1 }, "course_d3d71a4ff1544172c0550179": { "review_count": 1, "quality": 3, "difficulty": 5, "quality_count": 1, "difficulty_count": 1 } }, "bayesian_quality": 3.3868843757290774, "prior_mean": 3.6596857835465957, "prior_weight": 20 }, "grade_statistics": { "gpa": 3.302, "graded": 2523, "counts": [ 849, 754, 458, 227, 154, 46, 35 ], "sections": 99 }, "instructor_url": "/instructors/ANDREW_KYDD--instructor_4763e87370d856ad424f4a1e" } ] ``` ### grades ```json [ { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "POLISCI 345", "course_uid": "course_81457589fe454e0a547f15dd", "term_id": "1194", "term_name": "Spring 2019", "instructors": [ "Andrew Kydd" ], "a": 18, "ab": 12, "b": 7, "bc": 3, "c": 2, "d": 2, "f": 2, "satisfactory": 3, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 49, "source_aliases": [ "POLISCI 345" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "POLISCI 345", "course_uid": "course_81457589fe454e0a547f15dd", "term_id": "1212", "term_name": "Fall 2020", "instructors": [ "Andrew Kydd" ], "a": 35, "ab": 20, "b": 9, "bc": 4, "c": 1, "d": 1, "f": 1, "satisfactory": 1, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 72, "source_aliases": [ "POLISCI 345" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "POLISCI 345", "course_uid": "course_81457589fe454e0a547f15dd", "term_id": "1224", "term_name": "Spring 2022", "instructors": [ "Andrew Kydd" ], "a": 16, "ab": 21, "b": 12, "bc": 12, "c": 5, "d": 3, "f": 1, "satisfactory": 3, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 1, "no_work": 0, "not_reported": 0, "other": 0, "total": 74, "source_aliases": [ "POLISCI 345" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "POLISCI 345", "course_uid": "course_81457589fe454e0a547f15dd", "term_id": "1252", "term_name": "Fall 2024", "instructors": [ "Andrew Kydd" ], "a": 8, "ab": 19, "b": 11, "bc": 9, "c": 3, "d": 0, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 1, "other": 0, "total": 51, "source_aliases": [ "POLISCI 345" ] } ] ``` ### statistics #### gpa 3.27 #### graded 237 #### counts * 77 * 72 * 39 * 28 * 11 * 6 * 4 ### grade conflicts None recorded. ### evidence #### history * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course\_81457589fe454e0a547f15dd-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course_81457589fe454e0a547f15dd-0.json) #### traces * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course\_81457589fe454e0a547f15dd-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course_81457589fe454e0a547f15dd-0.json) #### results * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course\_81457589fe454e0a547f15dd-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course_81457589fe454e0a547f15dd-0.json) ### revision e243353dcb7d79b7247ced91d69443ef4c2a6349 ## context ### all #### term #### gpa 3.270042194092827 #### count 237 #### university ##### size 2925 ##### gpa Percentile 12 ##### count Percentile 81 ##### median Count 80 ##### 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 | 12 | false | | 2.8–3.2 | 251 | false | | 3.2–3.6 | 847 | true | | 3.6–4.0 | 1814 | false | #### departments ```json [ { "subject": "POLISCI", "comparison": { "size": 65, "gpaPercentile": 8, "countPercentile": 84, "medianCount": 87, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 3, "current": false }, { "range": "3.2–3.6", "count": 28, "current": true }, { "range": "3.6–4.0", "count": 34, "current": false } ] } } ] ``` ### terms #### 1194 ##### term 1194 ##### gpa 3.2282608695652173 ##### count 46 ##### university ###### size 1040 ###### gpa Percentile 26 ###### count Percentile 30 ###### median Count 67 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 1 | false | | 2.4–2.8 | 23 | false | | 2.8–3.2 | 220 | false | | 3.2–3.6 | 342 | true | | 3.6–4.0 | 454 | false | ##### departments ```json [ { "subject": "POLISCI", "comparison": { "size": 28, "gpaPercentile": 30, "countPercentile": 11, "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": 7, "current": false }, { "range": "3.2–3.6", "count": 16, "current": true }, { "range": "3.6–4.0", "count": 5, "current": false } ] } } ] ``` #### 1212 ##### term 1212 ##### gpa 3.5211267605633805 ##### count 71 ##### university ###### size 1111 ###### gpa Percentile 38 ###### count Percentile 51 ###### 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": 46, "countPercentile": 46, "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 } ] } } ] ``` #### 1224 ##### term 1224 ##### gpa 3.092857142857143 ##### count 70 ##### university ###### size 1171 ###### gpa Percentile 11 ###### count Percentile 53 ###### median Count 64 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 3 | false | | 2.4–2.8 | 21 | false | | 2.8–3.2 | 173 | true | | 3.2–3.6 | 358 | false | | 3.6–4.0 | 616 | false | ##### departments ```json [ { "subject": "POLISCI", "comparison": { "size": 28, "gpaPercentile": 0, "countPercentile": 52, "medianCount": 69, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 2, "current": true }, { "range": "3.2–3.6", "count": 15, "current": false }, { "range": "3.6–4.0", "count": 11, "current": false } ] } } ] ``` #### 1252 ##### term 1252 ##### gpa 3.2 ##### count 50 ##### university ###### size 1333 ###### gpa Percentile 10 ###### 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 | 0 | false | | 2.4–2.8 | 14 | false | | 2.8–3.2 | 115 | false | | 3.2–3.6 | 431 | true | | 3.6–4.0 | 773 | false | ##### departments ```json [ { "subject": "POLISCI", "comparison": { "size": 32, "gpaPercentile": 6, "countPercentile": 32, "medianCount": 53.5, "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": 2, "current": false }, { "range": "3.2–3.6", "count": 13, "current": true }, { "range": "3.6–4.0", "count": 17, "current": false } ] } } ] ``` ### benchmarks #### all ##### school ###### size 2925 ###### gpa 3.6468721832152027 ###### top Share 81.28234728668686 ###### count 80 ##### POLISCI ###### size 65 ###### gpa 3.5668616028547864 ###### top Share 79.0564887628661 ###### count 87 #### terms ##### 1194 ###### school ###### size 1040 ###### gpa 3.4906527436719808 ###### top Share 71.74728845515045 ###### count 67 ###### POLISCI ###### size 28 ###### gpa 3.3622929055465627 ###### top Share 67.77057007459834 ###### count 60 ##### 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 ##### 1224 ###### school ###### size 1171 ###### gpa 3.5627882428500937 ###### top Share 76.37271640560496 ###### count 64 ###### POLISCI ###### size 28 ###### gpa 3.532143371297822 ###### top Share 77.90235292035405 ###### count 69 ##### 1252 ###### school ###### size 1333 ###### gpa 3.619494049739118 ###### top Share 79.71442190500672 ###### count 69 ###### POLISCI ###### size 32 ###### gpa 3.59050798614564 ###### top Share 80.89004576107973 ###### count 53.5 ## instructor Trends ```json [ { "uid": "instructor_4763e87370d856ad424f4a1e", "name": "ANDREW KYDD", "count": 237, "terms": [ { "term": "1194", "count": 46, "sections": 1, "gpa": 3.2282608695652173 }, { "term": "1212", "count": 71, "sections": 1, "gpa": 3.5211267605633805 }, { "term": "1224", "count": 70, "sections": 1, "gpa": 3.092857142857143 }, { "term": "1252", "count": 50, "sections": 1, "gpa": 3.2 } ] } ] ``` ## following None recorded.