# POLISCI 360: The Foundations of American Liberal Democracy | UW–Madison [View on UW Courses](https://uwcourses.com/courses/POLISCI_360) ## 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 b02e002ceb5eb50c886679d4171ed191b33e348b3c43a07fe3e934aadd191d1f ### course id POLISCI 360 ### course uid course\_617ba4293bc51d083038f5a4 ### catalog version id 77e550a84f8e34372e639f8218b109a486fad8342817135f271a7e9228fe731f ### course number 360 ### subjects * POLISCI ### title THE FOUNDATIONS OF AMERICAN LIBERAL DEMOCRACY ### description The intellectual origins and evolution of American political thought as seen through the lens of leading politicians, novelists and social critics from the Puritans to the Civil War; consideration of the central tensions of American political thought from a contemporary perspective. ### requirements text (POLI SCI 160, 209,210, orILS 205) or graduate/professional standing ### credits min 3 ### credits max 4 ### credit offering ids * 1272:778:015987 ### llm job id enrich-8b774950c2b6adfdc46d1b82 ### llm output id b04784b9fba759d64ee35ef3bcf1afc7c0aa39c56d2f03d89176e06d7b383c69 ### llm model 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3, "quality_count": 3, "difficulty_count": 3 } }, "bayesian_quality": 4.429502954396328, "prior_mean": 3.6596857835465957, "prior_weight": 20 }, "instructor_url": "/instructors/DANIEL_KAPUST" }, { "instructor_uid": "instructor_b298b87ccc17e0815ca574e1", "source": "enrollment", "source_instructor_id": "randerson27", "identity_basis": "netid", "identity_status": "source_identified", "name": "Rebecca Anderson", "email": "RANDERSON27@WISC.EDU", "first_observed_at": "2026-09-07 15:55:43.033547+00:00", "last_observed_at": "2026-09-07 15:55:43.033547+00:00", "ratings": { "review_count": 7, "quality": 3.43, "difficulty": 1.43, "quality_count": 7, "difficulty_count": 7, "profile_id": "rmp:2859507", "source_url": "https://www.ratemyprofessors.com/professor/2859507", "match_basis": "exact_name", "observed_at": "2026-09-07 16:10:29.001265+00:00", "courses": { "course_a6a714e266cd85806df0a286": { "review_count": 2, "quality": 2.5, "difficulty": 1.5, "quality_count": 2, "difficulty_count": 2 }, "course_db1f10948b8f0513d84c0f2d": { "review_count": 2, "quality": 3, "difficulty": 1.5, "quality_count": 2, "difficulty_count": 2 }, "course_26231c24794b336dcd880e1a": { "review_count": 2, "quality": 4, "difficulty": 1.5, "quality_count": 2, "difficulty_count": 2 } }, "bayesian_quality": 3.6001376174419226, "prior_mean": 3.6596857835465957, "prior_weight": 20 }, "instructor_url": "/instructors/REBECCA_ANDERSON" } ] ``` ### grades ```json [ { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "POLISCI 360", "course_uid": "course_617ba4293bc51d083038f5a4", "term_id": "1194", "term_name": "Spring 2019", "instructors": [ "Michelle Schwarze" ], "a": 2, "ab": 18, "b": 13, "bc": 3, "c": 6, "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": 43, "source_aliases": [ "POLISCI 360" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "POLISCI 360", "course_uid": "course_617ba4293bc51d083038f5a4", "term_id": "1222", "term_name": "Fall 2021", "instructors": [ "Michelle Schwarze", "TIMOTHY TENNYSON" ], "a": 6, "ab": 6, "b": 5, "bc": 6, "c": 2, "d": 0, "f": 1, "satisfactory": 2, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 28, "source_aliases": [ "POLISCI 360" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "POLISCI 360", "course_uid": "course_617ba4293bc51d083038f5a4", "term_id": "1252", "term_name": "Fall 2024", "instructors": [ "Michelle Schwarze" ], "a": 11, "ab": 24, "b": 5, "bc": 4, "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": 50, "source_aliases": [ "POLISCI 360" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "POLISCI 360", "course_uid": "course_617ba4293bc51d083038f5a4", "term_id": "1264", "term_name": "Spring 2026", "instructors": [ "Jeffrey Church" ], "a": 18, "ab": 15, "b": 2, "bc": 0, "c": 0, "d": 0, "f": 1, "satisfactory": 2, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 1, "other": 0, "total": 39, "source_aliases": [ "POLISCI 360" ] } ] ``` ### statistics #### gpa 3.293 #### graded 150 #### counts * 37 * 63 * 25 * 13 * 9 * 0 * 3 ### grade conflicts None recorded. ### evidence #### history * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course\_617ba4293bc51d083038f5a4-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course_617ba4293bc51d083038f5a4-0.json) #### traces * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course\_617ba4293bc51d083038f5a4-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course_617ba4293bc51d083038f5a4-0.json) #### meetings * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/meetings/course\_617ba4293bc51d083038f5a4-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/meetings/course_617ba4293bc51d083038f5a4-0.json) #### results * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course\_617ba4293bc51d083038f5a4-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course_617ba4293bc51d083038f5a4-0.json) ### revision e243353dcb7d79b7247ced91d69443ef4c2a6349 ## context ### all #### term #### gpa 3.2933333333333334 #### count 150 #### university ##### size 3027 ##### gpa Percentile 13 ##### count Percentile 70 ##### median Count 81 ##### 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 | 18 | false | | 2.8–3.2 | 235 | false | | 3.2–3.6 | 843 | true | | 3.6–4.0 | 1931 | false | #### departments ```json [ { "subject": "POLISCI", "comparison": { "size": 68, "gpaPercentile": 16, "countPercentile": 70, "medianCount": 94, "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": 27, "current": true }, { "range": "3.6–4.0", "count": 35, "current": false } ] } } ] ``` ### terms #### 1194 ##### term 1194 ##### gpa 3.011627906976744 ##### count 43 ##### university ###### size 1040 ###### gpa Percentile 10 ###### count Percentile 24 ###### median Count 67 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 1 | false | | 2.4–2.8 | 23 | false | | 2.8–3.2 | 220 | true | | 3.2–3.6 | 342 | false | | 3.6–4.0 | 454 | false | ##### departments ```json [ { "subject": "POLISCI", "comparison": { "size": 28, "gpaPercentile": 11, "countPercentile": 7, "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": true }, { "range": "3.2–3.6", "count": 16, "current": false }, { "range": "3.6–4.0", "count": 5, "current": false } ] } } ] ``` #### 1222 ##### term 1222 ##### gpa 3.0384615384615383 ##### count 26 ##### departments | subject | comparison | | ------- | ---------- | | POLISCI | | #### 1252 ##### term 1252 ##### gpa 3.4444444444444446 ##### count 45 ##### university ###### size 1333 ###### gpa Percentile 26 ###### count Percentile 29 ###### 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": 23, "countPercentile": 13, "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 } ] } } ] ``` #### 1264 ##### term 1264 ##### gpa 3.625 ##### count 36 ##### university ###### size 1283 ###### gpa Percentile 41 ###### count Percentile 11 ###### median Count 66 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 1 | false | | 2.4–2.8 | 20 | false | | 2.8–3.2 | 130 | false | | 3.2–3.6 | 343 | false | | 3.6–4.0 | 789 | true | ##### departments ```json [ { "subject": "POLISCI", "comparison": { "size": 30, "gpaPercentile": 34, "countPercentile": 7, "medianCount": 63.5, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 1, "current": false }, { "range": "3.2–3.6", "count": 7, "current": false }, { "range": "3.6–4.0", "count": 22, "current": true } ] } } ] ``` ### benchmarks #### all ##### school ###### size 3027 ###### gpa 3.6531079961504513 ###### top Share 81.74889606194927 ###### count 81 ##### POLISCI ###### size 68 ###### gpa 3.5606966242681763 ###### top Share 78.73230013744431 ###### count 94 #### 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 ##### 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 ##### 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 ##### 1264 ###### school ###### size 1283 ###### gpa 3.6229729166451925 ###### top Share 80.13669149396227 ###### count 66 ###### POLISCI ###### size 30 ###### gpa 3.64488187596396 ###### top Share 82.45733464244728 ###### count 63.5 ## instructor Trends ```json [ { "uid": "instructor_152b5f552d35dc649b2fc5a7", "name": "MICHELLE SCHWARZE", "count": 114, "terms": [ { "term": "1194", "count": 43, "sections": 1, "gpa": 3.011627906976744 }, { "term": "1222", "count": 26, "sections": 1, "gpa": 3.0384615384615383 }, { "term": "1252", "count": 45, "sections": 1, "gpa": 3.4444444444444446 } ] }, { "uid": "instructor_fad4a62e5811176b5f3e8222", "name": "JEFFREY CHURCH", "count": 36, "terms": [ { "term": "1264", "count": 36, "sections": 1, "gpa": 3.625 } ] }, { "uid": "instructor_b7aeac0c8d4200568634c3b3", "name": "TIMOTHY TENNYSON", "count": 26, "terms": [ { "term": "1222", "count": 26, "sections": 1, "gpa": 3.0384615384615383 } ] } ] ``` ## following None recorded.