# INTLST/POLISCI 431: Contentious Politics | UW–Madison

[View on UW Courses](https://uwcourses.com/courses/INTLST_POLISCI_431)

## 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
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* 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

e5f7d13107f48fbc25d1f6c1cff57fa7b14a608ceb0b67d03f52cfd1eb546453

### course id

INTLST/POLISCI 431

### course uid

course\_e1765ffe165ba3b9fb071eb9

### catalog version id

f900b7ebe2f0a74d3d8a5201a030f08c35ef5f78207dfaa7bc4a7ada6983d364

### course number

431

### subjects

* INTLST
* POLISCI

### title

CONTENTIOUS POLITICS

### description

Social movements, revolutions, and riots continually shape and re-shape the world around us. The course will evaluate and apply dominant theoretical approaches to understanding contention through careful attention to empirical cases throughout the world.

### requirements text

Sophomore standing andPOLI SCI 140orINTL ST 101(or POLI SCI 103 taken prior to fall 2017) or graduate/professional standing

### credit offering ids

None recorded.

### llm job id

enrich-8b774950c2b6adfdc46d1b82

### llm output id

079d55984f572fbdc278ea3f1d5c311e2abb6b93ef6833d16d41b1a7fa96d57b

### llm model

nvidia/Qwen3.6-35B-A3B-NVFP4

### llm model revision

1355db6a052410cfd62085d94b58866fd0f2c3c5

### llm task version

14

### llm search status

valid

### llm summary

CONTENTIOUS POLITICS evaluates theoretical approaches to social movements and riots through global empirical cases.

### llm topics

* Social movements, revolutions, and riots
* Theoretical approaches to political contention

### llm skills

* Evaluate and apply theoretical approaches to political contention using empirical case studies.

### llm assumed background

* Foundational knowledge in international studies and international relations, including global patterns, state interactions, and global issues.

### llm search phrases

* contentious politics course
* social movements theory
* political contention cases
* INTLST POLISCI 431 syllabus

### llm requirements status

needs\_review

### llm student summary status

valid

### llm experience status

insufficient\_evidence

### catalog variants

None recorded.

### student summary

#### context hash

91b0d9c445ac8f2a165b39eb7fc015d8c3738e107c67ca77d7ff2928e4639338

#### course id

INTLST/POLISCI 431

#### 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 2021: 3.77 GPA, 91.1% A/AB (n=45 letter grades); Fall 2023: 3.93 GPA, 100.0% A/AB (n=44 letter grades); Fall 2025: 3.65 GPA, 79.2% A/AB (n=48 letter grades).

```json
{
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```

#### student experience

None recorded.

#### task hash

74fb0997943e888960bbc9e47db8c4fd12e4292d55c20509d8d89db6a9910f68

#### teaching history

None recorded.

#### term id

1272

#### term name

2026 Fall

#### version

2

### requirements

#### nodes

```json
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]
```

#### notes

* POLI SCI 103 is not in linked\_courses; treated as a verbatim condition requiring review.

#### root

n0

#### status

needs\_review

### instructors

None recorded.

### offerings

None recorded.

### sections

None recorded.

### grade instructors

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      "match_basis": "exact_name",
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      "graded": 1749,
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        16,
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      "sections": 65
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    "instructor_url": "/instructors/ERICA_SIMMONS--instructor_857d939278eec6a894391e4f"
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]
```

### grades

```json
[
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    "course_id": "INTLST/POLISCI 431",
    "course_uid": "course_e1765ffe165ba3b9fb071eb9",
    "term_id": "1162",
    "term_name": "Fall 2015",
    "instructors": [
      "Erica Simmons"
    ],
    "a": 26,
    "ab": 16,
    "b": 2,
    "bc": 2,
    "c": 0,
    "d": 1,
    "f": 0,
    "satisfactory": 0,
    "unsatisfactory": 0,
    "credit": 0,
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    "no_work": 0,
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    "total": 49,
    "source_aliases": [
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  {
    "run_id": "20260907T155543-ce3781c4",
    "semester": "1272",
    "observed_at": "2026-09-07 15:55:43.033547+00:00",
    "course_id": "INTLST/POLISCI 431",
    "course_uid": "course_e1765ffe165ba3b9fb071eb9",
    "term_id": "1174",
    "term_name": "Spring 2017",
    "instructors": [
      "Erica Simmons"
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    "a": 35,
    "ab": 5,
    "b": 6,
    "bc": 0,
    "c": 4,
    "d": 0,
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    "total": 59,
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  },
  {
    "run_id": "20260907T155543-ce3781c4",
    "semester": "1272",
    "observed_at": "2026-09-07 15:55:43.033547+00:00",
    "course_id": "INTLST/POLISCI 431",
    "course_uid": "course_e1765ffe165ba3b9fb071eb9",
    "term_id": "1222",
    "term_name": "Fall 2021",
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    "ab": 8,
    "b": 1,
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  },
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    "run_id": "20260907T155543-ce3781c4",
    "semester": "1272",
    "observed_at": "2026-09-07 15:55:43.033547+00:00",
    "course_id": "INTLST/POLISCI 431",
    "course_uid": "course_e1765ffe165ba3b9fb071eb9",
    "term_id": "1242",
    "term_name": "Fall 2023",
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    "a": 38,
    "ab": 6,
    "b": 0,
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  },
  {
    "run_id": "20260907T155543-ce3781c4",
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    "course_uid": "course_e1765ffe165ba3b9fb071eb9",
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]
```

### statistics

#### gpa

3.731

#### graded

234

#### counts

* 163
* 42
* 17
* 4
* 6
* 1
* 1

### grade conflicts

None recorded.

### evidence

#### history

* [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course\_e1765ffe165ba3b9fb071eb9-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course_e1765ffe165ba3b9fb071eb9-0.json)

#### traces

* [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course\_e1765ffe165ba3b9fb071eb9-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course_e1765ffe165ba3b9fb071eb9-0.json)

#### results

* [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course\_e1765ffe165ba3b9fb071eb9-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course_e1765ffe165ba3b9fb071eb9-0.json)

### revision

e243353dcb7d79b7247ced91d69443ef4c2a6349

## context

### all

#### term



#### gpa

3.730769230769231

#### count

234

#### university

##### size

3115

##### gpa Percentile

54

##### count Percentile

76

##### median Count

92

##### 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 | 16    | false   |
| 2.8–3.2 | 288   | false   |
| 3.2–3.6 | 888   | false   |
| 3.6–4.0 | 1921  | true    |

#### departments

```json
[
  {
    "subject": "INTLST",
    "comparison": {
      "size": 17,
      "gpaPercentile": 69,
      "countPercentile": 94,
      "medianCount": 71,
      "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": 6,
          "current": false
        },
        {
          "range": "3.6–4.0",
          "count": 10,
          "current": true
        }
      ]
    }
  },
  {
    "subject": "POLISCI",
    "comparison": {
      "size": 71,
      "gpaPercentile": 79,
      "countPercentile": 83,
      "medianCount": 92,
      "histogram": [
        {
          "range": "0.0–0.4",
          "count": 0,
          "current": false
        },
        {
          "range": "0.4–0.8",
          "count": 0,
          "current": false
        },
        {
          "range": "0.8–1.2",
          "count": 0,
          "current": false
        },
        {
          "range": "1.2–1.6",
          "count": 0,
          "current": false
        },
        {
          "range": "1.6–2.0",
          "count": 0,
          "current": false
        },
        {
          "range": "2.0–2.4",
          "count": 0,
          "current": false
        },
        {
          "range": "2.4–2.8",
          "count": 0,
          "current": false
        },
        {
          "range": "2.8–3.2",
          "count": 5,
          "current": false
        },
        {
          "range": "3.2–3.6",
          "count": 31,
          "current": false
        },
        {
          "range": "3.6–4.0",
          "count": 35,
          "current": true
        }
      ]
    }
  }
]
```

### terms

#### 1162

##### term

1162

##### gpa

3.6595744680851063

##### count

47

##### university

###### size

954

###### gpa Percentile

69

###### count Percentile

32

###### median Count

64.5

###### 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 | 2     | false   |
| 2.4–2.8 | 23    | false   |
| 2.8–3.2 | 234   | false   |
| 3.2–3.6 | 350   | false   |
| 3.6–4.0 | 345   | true    |

##### departments

```json
[
  {
    "subject": "INTLST",
    "comparison": null
  },
  {
    "subject": "POLISCI",
    "comparison": {
      "size": 13,
      "gpaPercentile": 83,
      "countPercentile": 25,
      "medianCount": 48,
      "histogram": [
        {
          "range": "0.0–0.4",
          "count": 0,
          "current": false
        },
        {
          "range": "0.4–0.8",
          "count": 0,
          "current": false
        },
        {
          "range": "0.8–1.2",
          "count": 0,
          "current": false
        },
        {
          "range": "1.2–1.6",
          "count": 0,
          "current": false
        },
        {
          "range": "1.6–2.0",
          "count": 0,
          "current": false
        },
        {
          "range": "2.0–2.4",
          "count": 0,
          "current": false
        },
        {
          "range": "2.4–2.8",
          "count": 0,
          "current": false
        },
        {
          "range": "2.8–3.2",
          "count": 5,
          "current": false
        },
        {
          "range": "3.2–3.6",
          "count": 5,
          "current": false
        },
        {
          "range": "3.6–4.0",
          "count": 3,
          "current": true
        }
      ]
    }
  }
]
```

#### 1174

##### term

1174

##### gpa

3.67

##### count

50

##### university

###### size

955

###### gpa Percentile

67

###### count Percentile

33

###### median Count

69

###### histogram

| range   | count | current |
| ------- | ----- | ------- |
| 0.0–0.4 | 0     | false   |
| 0.4–0.8 | 0     | false   |
| 0.8–1.2 | 0     | false   |
| 1.2–1.6 | 0     | false   |
| 1.6–2.0 | 0     | false   |
| 2.0–2.4 | 1     | false   |
| 2.4–2.8 | 29    | false   |
| 2.8–3.2 | 224   | false   |
| 3.2–3.6 | 332   | false   |
| 3.6–4.0 | 369   | true    |

##### departments

```json
[
  {
    "subject": "INTLST",
    "comparison": null
  },
  {
    "subject": "POLISCI",
    "comparison": {
      "size": 18,
      "gpaPercentile": 76,
      "countPercentile": 29,
      "medianCount": 60,
      "histogram": [
        {
          "range": "0.0–0.4",
          "count": 0,
          "current": false
        },
        {
          "range": "0.4–0.8",
          "count": 0,
          "current": false
        },
        {
          "range": "0.8–1.2",
          "count": 0,
          "current": false
        },
        {
          "range": "1.2–1.6",
          "count": 0,
          "current": false
        },
        {
          "range": "1.6–2.0",
          "count": 0,
          "current": false
        },
        {
          "range": "2.0–2.4",
          "count": 0,
          "current": false
        },
        {
          "range": "2.4–2.8",
          "count": 0,
          "current": false
        },
        {
          "range": "2.8–3.2",
          "count": 2,
          "current": false
        },
        {
          "range": "3.2–3.6",
          "count": 8,
          "current": false
        },
        {
          "range": "3.6–4.0",
          "count": 8,
          "current": true
        }
      ]
    }
  }
]
```

#### 1222

##### term

1222

##### gpa

3.7666666666666666

##### count

45

##### university

###### size

1157

###### gpa Percentile

66

###### count Percentile

30

###### median Count

64

###### histogram

| range   | count | current |
| ------- | ----- | ------- |
| 0.0–0.4 | 0     | false   |
| 0.4–0.8 | 0     | false   |
| 0.8–1.2 | 0     | false   |
| 1.2–1.6 | 0     | false   |
| 1.6–2.0 | 0     | false   |
| 2.0–2.4 | 1     | false   |
| 2.4–2.8 | 17    | false   |
| 2.8–3.2 | 174   | false   |
| 3.2–3.6 | 351   | false   |
| 3.6–4.0 | 614   | true    |

##### departments

```json
[
  {
    "subject": "INTLST",
    "comparison": null
  },
  {
    "subject": "POLISCI",
    "comparison": {
      "size": 32,
      "gpaPercentile": 87,
      "countPercentile": 35,
      "medianCount": 50.5,
      "histogram": [
        {
          "range": "0.0–0.4",
          "count": 0,
          "current": false
        },
        {
          "range": "0.4–0.8",
          "count": 0,
          "current": false
        },
        {
          "range": "0.8–1.2",
          "count": 0,
          "current": false
        },
        {
          "range": "1.2–1.6",
          "count": 0,
          "current": false
        },
        {
          "range": "1.6–2.0",
          "count": 0,
          "current": false
        },
        {
          "range": "2.0–2.4",
          "count": 0,
          "current": false
        },
        {
          "range": "2.4–2.8",
          "count": 1,
          "current": false
        },
        {
          "range": "2.8–3.2",
          "count": 5,
          "current": false
        },
        {
          "range": "3.2–3.6",
          "count": 11,
          "current": false
        },
        {
          "range": "3.6–4.0",
          "count": 15,
          "current": true
        }
      ]
    }
  }
]
```

#### 1242

##### term

1242

##### gpa

3.9318181818181817

##### count

44

##### university

###### size

1295

###### gpa Percentile

85

###### 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 | 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": "INTLST",
    "comparison": null
  },
  {
    "subject": "POLISCI",
    "comparison": {
      "size": 31,
      "gpaPercentile": 97,
      "countPercentile": 20,
      "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
        }
      ]
    }
  }
]
```

#### 1262

##### term

1262

##### gpa

3.6458333333333335

##### count

48

##### university

###### size

1320

###### gpa Percentile

44

###### count Percentile

30

###### 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   | false   |
| 3.6–4.0 | 797   | true    |

##### departments

```json
[
  {
    "subject": "INTLST",
    "comparison": null
  },
  {
    "subject": "POLISCI",
    "comparison": {
      "size": 33,
      "gpaPercentile": 38,
      "countPercentile": 22,
      "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": false
        },
        {
          "range": "3.6–4.0",
          "count": 23,
          "current": true
        }
      ]
    }
  }
]
```

### benchmarks

#### all

##### school

###### size

3115

###### gpa

3.6412563678269554

###### top Share

80.77220183841847

###### count

92

##### INTLST

###### size

17

###### gpa

3.617650243284483

###### top Share

81.31906328868871

###### count

71

##### POLISCI

###### size

71

###### gpa

3.559989290714537

###### top Share

79.13141765092209

###### count

92

#### terms

##### 1162

###### school

###### size

954

###### gpa

3.43726781345039

###### top Share

68.05645304987395

###### count

64.5

###### POLISCI

###### size

13

###### gpa

3.372426234221877

###### top Share

66.25706452537325

###### count

48

##### 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

##### 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

##### 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

##### 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_857d939278eec6a894391e4f",
    "name": "ERICA SIMMONS",
    "count": 234,
    "terms": [
      {
        "term": "1162",
        "count": 47,
        "sections": 1,
        "gpa": 3.6595744680851063
      },
      {
        "term": "1174",
        "count": 50,
        "sections": 1,
        "gpa": 3.67
      },
      {
        "term": "1222",
        "count": 45,
        "sections": 1,
        "gpa": 3.7666666666666666
      },
      {
        "term": "1242",
        "count": 44,
        "sections": 1,
        "gpa": 3.9318181818181817
      },
      {
        "term": "1262",
        "count": 48,
        "sections": 1,
        "gpa": 3.6458333333333335
      }
    ]
  }
]
```

## following

None recorded.
