# POLISCI 316: Careers in Political Science | UW–Madison [View on UW Courses](https://uwcourses.com/courses/POLISCI_316) ## 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 5e6919eb647e4b7316aa2059ea47bd4bc2a4396d0f5e7f8e29e64aa13278f128 ### course id POLISCI 316 ### course uid course\_6e9eb58058f4a7646bbab396 ### catalog version id 33d86bedfee8ab7afcf4f0b4c0f70d4b97b6a50d6044edc0cc92c5e92e40a571 ### course number 316 ### subjects * POLISCI ### title CAREERS IN POLITICAL SCIENCE ### description Facilitates transitions from undergraduate academic learning related to Political Science to meaningful and rewarding professional opportunities including jobs, paid internships, graduate study, and post-graduate fellowships. Building on core coursework in Political Science and related disciplines, addresses how to utilize existing academic learning and completed readings and assignments, extra-curricular activities, student research, for-pay work, internships, and interaction with alumni and other personal networks to further develop career options. Also provides practical ways to explore and pursue a wide range of career pathways related to Political Science. Develop essential professional development materials and self-promotional skills. ### requirements text Sophomore standing ### credit offering ids None recorded. ### llm job id enrich-8b774950c2b6adfdc46d1b82 ### llm output id 52ece3425ba0dbe8bb8a50d6c4cc09f214674e462dd8d13d745911aa0a154d4c ### llm model nvidia/Qwen3.6-35B-A3B-NVFP4 ### llm model revision 1355db6a052410cfd62085d94b58866fd0f2c3c5 ### llm task version 14 ### llm search status valid ### llm summary CAREERS IN POLITICAL SCIENCE facilitates transitions from undergraduate academic learning to professional opportunities like jobs, internships, and graduate study. ### llm topics * Utilizing academic learning, research, and networks for career development * Career pathways including jobs, internships, graduate study, and fellowships ### llm skills * Professional development materials and self-promotional skills * Exploring and pursuing career pathways ### llm assumed background * Core coursework in Political Science and related disciplines ### llm search phrases * political science career planning * polisci professional development * political science internships jobs * polisci graduate school preparation ### llm requirements status valid ### llm student summary status valid ### llm experience status insufficient\_evidence ### catalog variants None recorded. ### student summary #### context hash 3f8bb53c282215e927e57fe40ccacb9c63f39e5afee7437b81c56dc24afcf1a3 #### course id POLISCI 316 #### 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 2023: 4.00 GPA, 100.0% A/AB (n=24 letter grades); Spring 2024: 3.95 GPA, 96.9% A/AB (n=32 letter grades); Fall 2024: 4.00 GPA, 100.0% A/AB (n=24 letter grades). ```json { "citations": [ { "course_id": "POLISCI 316", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "01acecf4-405a-3d69-ace1-021b66465e89", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1242", "type": "grade" }, { "course_id": "POLISCI 316", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "01acecf4-405a-3d69-ace1-021b66465e89", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1244", "type": "grade" }, { "course_id": "POLISCI 316", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "01acecf4-405a-3d69-ace1-021b66465e89", "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": [], "condition": "Sophomore standing", "course": null, "evidence": "Sophomore standing", "id": "n0", "kind": "condition" } ] ``` #### notes * The requirement 'Sophomore standing' is a standing requirement, not a specific course. It is represented as a condition leaf. #### root n0 #### status parsed ### instructors None recorded. ### offerings None recorded. ### sections None recorded. ### grade instructors ```json [ { "instructor_uid": "instructor_c64608de3fd11250f5b8868d", "source": "madgrades", "source_instructor_id": "3337241", "identity_basis": "source_id", "identity_status": "source_identified", "name": "MARK LAWRENCE SCHRAD", "email": null, "first_observed_at": "2026-09-06 23:14:58.172943+00:00", "last_observed_at": "2026-09-07 15:55:43.033547+00:00", "grade_statistics": { "gpa": 3.357, "graded": 70, "counts": [ 18, 25, 20, 5, 1, 1, 0 ], "sections": 1 }, "instructor_url": "/instructors/MARK_LAWRENCE_SCHRAD--instructor_c64608de3fd11250f5b8868d" }, { "instructor_uid": "instructor_8bc9a3ef2af5b3c0e8383ccf", "source": "madgrades", "source_instructor_id": "216391", "identity_basis": "source_id", "identity_status": "source_identified", "name": "HELEN MARY KINSELLA", "email": null, "first_observed_at": 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15:55:43.033547+00:00", "course_id": "POLISCI 316", "course_uid": "course_6e9eb58058f4a7646bbab396", "term_id": "1074", "term_name": "Spring 2007", "instructors": [ "HELEN MARY KINSELLA" ], "a": 82, "ab": 37, "b": 29, "bc": 21, "c": 15, "d": 4, "f": 6, "satisfactory": 2, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 196, "source_aliases": [ "POLISCI 316" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "POLISCI 316", "course_uid": "course_6e9eb58058f4a7646bbab396", "term_id": "1084", "term_name": "Spring 2008", "instructors": [ "JASON DANIEL BROZEK", "SE-HYOUNG YI" ], "a": 48, "ab": 26, "b": 10, "bc": 4, "c": 2, "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": 91, "source_aliases": [ "POLISCI 316" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "POLISCI 316", "course_uid": "course_6e9eb58058f4a7646bbab396", "term_id": "1094", "term_name": "Spring 2009", "instructors": [ "HELEN MARY KINSELLA" ], "a": 49, "ab": 27, "b": 29, "bc": 14, "c": 17, "d": 3, "f": 0, "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 316" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "POLISCI 316", "course_uid": "course_6e9eb58058f4a7646bbab396", "term_id": "1104", "term_name": "Spring 2010", "instructors": [ "HELEN MARY KINSELLA" ], "a": 17, "ab": 37, "b": 32, "bc": 25, "c": 19, "d": 6, "f": 1, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, 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"instructors": [ "Amy Gangl" ], "a": 22, "ab": 1, "b": 0, "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": 23, "source_aliases": [ "POLISCI 316" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "POLISCI 316", "course_uid": "course_6e9eb58058f4a7646bbab396", "term_id": "1242", "term_name": "Fall 2023", "instructors": [ "Amy Gangl" ], "a": 24, "ab": 0, "b": 0, "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": 24, "source_aliases": [ "POLISCI 316" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "POLISCI 316", "course_uid": "course_6e9eb58058f4a7646bbab396", "term_id": "1244", "term_name": "Spring 2024", "instructors": [ "Amy Gangl" ], "a": 30, "ab": 1, "b": 1, "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": 32, "source_aliases": [ "POLISCI 316" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "POLISCI 316", "course_uid": "course_6e9eb58058f4a7646bbab396", "term_id": "1252", "term_name": "Fall 2024", "instructors": [ "Amy Gangl" ], "a": 24, "ab": 0, "b": 0, "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": 24, "source_aliases": [ "POLISCI 316" ] } ] ``` ### statistics #### gpa 3.292 #### graded 1566 #### counts * 555 * 378 * 322 * 160 * 108 * 30 * 13 ### grade conflicts None recorded. ### evidence #### history * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course\_6e9eb58058f4a7646bbab396-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course_6e9eb58058f4a7646bbab396-0.json) #### traces * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course\_6e9eb58058f4a7646bbab396-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course_6e9eb58058f4a7646bbab396-0.json) #### results * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course\_6e9eb58058f4a7646bbab396-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course_6e9eb58058f4a7646bbab396-0.json) ### revision e243353dcb7d79b7247ced91d69443ef4c2a6349 ## context ### all #### term #### gpa 3.2918263090676882 #### count 1566 #### university ##### size 4501 ##### gpa Percentile 14 ##### count Percentile 96 ##### median Count 124 ##### 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 | 16 | false | | 2.8–3.2 | 391 | false | | 3.2–3.6 | 1361 | true | | 3.6–4.0 | 2733 | false | #### departments ```json [ { "subject": "POLISCI", "comparison": { "size": 106, "gpaPercentile": 22, "countPercentile": 98, "medianCount": 96, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 13, "current": false }, { "range": "3.2–3.6", "count": 43, "current": true }, { "range": "3.6–4.0", "count": 50, "current": false } ] } } ] ``` ### terms #### 1072 ##### term 1072 ##### gpa 3.357142857142857 ##### count 70 ##### university ###### size 723 ###### gpa Percentile 52 ###### count Percentile 52 ###### 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 | false | | 3.2–3.6 | 306 | true | | 3.6–4.0 | 180 | false | ##### departments ```json [ { "subject": "POLISCI", "comparison": { "size": 13, "gpaPercentile": 67, "countPercentile": 33, "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": false }, { "range": "3.2–3.6", "count": 5, "current": true }, { "range": "3.6–4.0", "count": 1, "current": false } ] } } ] ``` #### 1074 ##### term 1074 ##### gpa 3.252577319587629 ##### count 194 ##### university ###### size 695 ###### gpa Percentile 40 ###### count Percentile 85 ###### 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 | 3 | false | | 2.4–2.8 | 53 | false | | 2.8–3.2 | 184 | false | | 3.2–3.6 | 256 | true | | 3.6–4.0 | 199 | false | ##### departments ```json [ { "subject": "POLISCI", "comparison": { "size": 14, "gpaPercentile": 46, "countPercentile": 69, "medianCount": 98, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 2, "current": false }, { "range": "2.8–3.2", "count": 4, "current": false }, { "range": "3.2–3.6", "count": 6, "current": true }, { "range": "3.6–4.0", "count": 2, "current": false } ] } } ] ``` #### 1084 ##### term 1084 ##### gpa 3.5934065934065935 ##### count 91 ##### university ###### size 720 ###### gpa Percentile 70 ###### count Percentile 63 ###### 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 | 45 | false | | 2.8–3.2 | 207 | false | | 3.2–3.6 | 248 | true | | 3.6–4.0 | 217 | false | ##### departments ```json [ { "subject": "POLISCI", "comparison": { "size": 16, "gpaPercentile": 93, "countPercentile": 60, "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": 1, "current": false }, { "range": "2.8–3.2", "count": 7, "current": false }, { "range": "3.2–3.6", "count": 7, "current": true }, { "range": "3.6–4.0", "count": 1, "current": false } ] } } ] ``` #### 1094 ##### term 1094 ##### gpa 3.2338129496402876 ##### count 139 ##### university ###### size 758 ###### gpa Percentile 38 ###### count Percentile 80 ###### median Count 71 ###### 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 | 35 | false | | 2.8–3.2 | 226 | false | | 3.2–3.6 | 259 | true | | 3.6–4.0 | 236 | false | ##### departments ```json [ { "subject": "POLISCI", "comparison": { "size": 14, "gpaPercentile": 62, "countPercentile": 85, "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": 2, "current": false }, { "range": "2.8–3.2", "count": 6, "current": false }, { "range": "3.2–3.6", "count": 5, "current": true }, { "range": "3.6–4.0", "count": 1, "current": false } ] } } ] ``` #### 1104 ##### term 1104 ##### gpa 2.9197080291970803 ##### count 137 ##### university ###### size 793 ###### gpa Percentile 12 ###### count Percentile 80 ###### 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 | 4 | false | | 2.4–2.8 | 49 | false | | 2.8–3.2 | 205 | true | | 3.2–3.6 | 294 | false | | 3.6–4.0 | 241 | false | ##### departments | subject | comparison | | ------- | ---------- | | POLISCI | | #### 1112 ##### term 1112 ##### gpa 3.4119047619047618 ##### count 210 ##### university ###### size 805 ###### gpa Percentile 54 ###### count Percentile 89 ###### median Count 66 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 1 | false | | 2.4–2.8 | 45 | false | | 2.8–3.2 | 218 | false | | 3.2–3.6 | 316 | true | | 3.6–4.0 | 225 | false | ##### departments ```json [ { "subject": "POLISCI", "comparison": { "size": 13, "gpaPercentile": 92, "countPercentile": 83, "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": false }, { "range": "3.2–3.6", "count": 3, "current": true }, { "range": "3.6–4.0", "count": 1, "current": false } ] } } ] ``` #### 1122 ##### term 1122 ##### gpa 3.00990099009901 ##### count 202 ##### university ###### size 804 ###### gpa Percentile 18 ###### count Percentile 88 ###### 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": 23, "countPercentile": 77, "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 3.4184397163120566 ##### count 141 ##### university ###### size 851 ###### gpa Percentile 54 ###### count Percentile 80 ###### 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": 86, "countPercentile": 79, "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 } ] } } ] ``` #### 1152 ##### term 1152 ##### gpa 3.25 ##### count 164 ##### university ###### size 918 ###### gpa Percentile 34 ###### count Percentile 85 ###### 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": 46, "countPercentile": 85, "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 } ] } } ] ``` #### 1174 ##### term 1174 ##### gpa 3.1565217391304348 ##### count 115 ##### university ###### size 955 ###### gpa Percentile 22 ###### count Percentile 74 ###### 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 | true | | 3.2–3.6 | 332 | false | | 3.6–4.0 | 369 | false | ##### departments ```json [ { "subject": "POLISCI", "comparison": { "size": 18, "gpaPercentile": 6, "countPercentile": 94, "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": true }, { "range": "3.2–3.6", "count": 8, "current": false }, { "range": "3.6–4.0", "count": 8, "current": false } ] } } ] ``` #### 1234 ##### term 1234 ##### gpa 3.9782608695652173 ##### count 23 ##### departments | subject | comparison | | ------- | ---------- | | POLISCI | | #### 1242 ##### term 1242 ##### gpa 4 ##### count 24 ##### departments | subject | comparison | | ------- | ---------- | | POLISCI | | #### 1244 ##### term 1244 ##### gpa 3.953125 ##### count 32 ##### university ###### size 1241 ###### gpa Percentile 89 ###### count Percentile 4 ###### 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 | 2 | false | | 2.4–2.8 | 9 | false | | 2.8–3.2 | 151 | false | | 3.2–3.6 | 373 | false | | 3.6–4.0 | 706 | true | ##### departments ```json [ { "subject": "POLISCI", "comparison": { "size": 31, "gpaPercentile": 97, "countPercentile": 0, "medianCount": 56, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 3, "current": false }, { "range": "3.2–3.6", "count": 14, "current": false }, { "range": "3.6–4.0", "count": 14, "current": true } ] } } ] ``` #### 1252 ##### term 1252 ##### gpa 4 ##### count 24 ##### departments | subject | comparison | | ------- | ---------- | | POLISCI | | ### benchmarks #### all ##### school ###### size 4501 ###### gpa 3.636182070643679 ###### top Share 80.34316070302344 ###### count 124 ##### POLISCI ###### size 106 ###### gpa 3.536834686646795 ###### top Share 76.98086525681047 ###### count 96 #### 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 ##### 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 ##### 1084 ###### school ###### size 720 ###### gpa 3.3670742938849725 ###### top Share 63.42064564712246 ###### count 70 ###### POLISCI ###### size 16 ###### gpa 3.238531506836362 ###### top Share 55.06088203147391 ###### count 72.5 ##### 1094 ###### school ###### size 758 ###### gpa 3.3891454428111527 ###### top Share 64.36369814389255 ###### count 71 ###### POLISCI ###### size 14 ###### gpa 3.1531610813978714 ###### top Share 49.305472802233474 ###### count 69 ##### 1104 ###### school ###### size 793 ###### gpa 3.384661458923085 ###### top Share 64.6614752434143 ###### count 66 ##### 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 ##### 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 ##### 1234 ###### school ###### size 1188 ###### gpa 3.5799441677552393 ###### top Share 77.18256448537606 ###### count 65 ###### POLISCI ###### size 28 ###### gpa 3.5845277295873372 ###### top Share 78.11327833817083 ###### count 60.5 ##### 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 ##### 1244 ###### school ###### size 1241 ###### gpa 3.5975573126929192 ###### top Share 78.29036874847135 ###### count 65 ###### POLISCI ###### size 31 ###### gpa 3.553793736689284 ###### top Share 78.69346146940943 ###### count 56 ##### 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_8bc9a3ef2af5b3c0e8383ccf", "name": "HELEN MARY KINSELLA", "count": 1100, "terms": [ { "term": "1074", "count": 194, "sections": 1, "gpa": 3.252577319587629 }, { "term": "1094", "count": 139, "sections": 1, "gpa": 3.2338129496402876 }, { "term": "1104", "count": 137, "sections": 1, "gpa": 2.9197080291970803 }, { "term": "1112", "count": 210, "sections": 1, "gpa": 3.4119047619047618 }, { "term": "1132", "count": 141, "sections": 1, "gpa": 3.4184397163120566 }, { "term": "1152", "count": 164, "sections": 1, "gpa": 3.25 }, { "term": "1174", "count": 115, "sections": 1, "gpa": 3.1565217391304348 } ] }, { "uid": "instructor_67f86af4e68482739e40d71f", "name": "JESSICA CLAYTON", "count": 202, "terms": [ { "term": "1122", "count": 202, "sections": 1, "gpa": 3.00990099009901 } ] }, { "uid": "instructor_0006a7258cb0f60c8191fb3c", "name": "AMY GANGL", "count": 103, "terms": [ { "term": "1234", "count": 23, "sections": 1, "gpa": 3.9782608695652173 }, { "term": "1242", "count": 24, "sections": 1, "gpa": 4 }, { "term": "1244", "count": 32, "sections": 1, "gpa": 3.953125 }, { "term": "1252", "count": 24, "sections": 1, "gpa": 4 } ] }, { "uid": "instructor_0c2866a4a991216210281148", "name": "JASON DANIEL BROZEK", "count": 91, "terms": [ { "term": "1084", "count": 91, "sections": 1, "gpa": 3.5934065934065935 } ] }, { "uid": "instructor_fcb5c7ec66a03f402321b1c7", "name": "SE-HYOUNG YI", "count": 91, "terms": [ { "term": "1084", "count": 91, "sections": 1, "gpa": 3.5934065934065935 } ] }, { "uid": "instructor_c64608de3fd11250f5b8868d", "name": "MARK LAWRENCE SCHRAD", "count": 70, "terms": [ { "term": "1072", "count": 70, "sections": 1, "gpa": 3.357142857142857 } ] } ] ``` ## following None recorded.