# ILS/POLISCI 363: Literature and Politics | UW–Madison

[View on UW Courses](https://uwcourses.com/courses/ILS_POLISCI_363)

## 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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### 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

7f2782d25fb24dc97caa3e4f27d48c3fb3b5f86acffffb20348f2c9428ce8ff5

### course id

ILS/POLISCI 363

### course uid

course\_59020fdafae4af854a2a4b59

### catalog version id

4e9be571c2353d5fbee3e10f4380e67669c437751f42fc2f5daf36bed38b7ca7

### course number

363

### subjects

* ILS
* POLISCI

### title

LITERATURE AND POLITICS

### description

Interactions between literature and politics, and the role of literature more generally in the functioning of the political systems. Not open to students with credit for POLI SCI 570 prior to fall 2017

### requirements text

Sophomore standing

### credits min

3

### credits max

4

### credit offering ids

* 1272:500:015989
* 1272:778:015989

### llm job id

enrich-f516c4d3e82cfe326b4f5f54

### llm output id

70d553c2688fd8f9ec113a972e1ec53217668f9db8ae1f1ddb089ac4c1d1f79b

### llm model

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

### llm model revision

1355db6a052410cfd62085d94b58866fd0f2c3c5

### llm task version

14

### llm search status

valid

### llm summary

ILS/POLISCI 363 explores the interactions between literature and politics and the role of literature in political systems.

### llm topics

* Literature and politics interactions
* Literature in political systems

### llm skills

* Analyze interactions between literature and politics
* Evaluate the role of literature in political systems

### llm assumed background

None recorded.

### llm search phrases

* Literature and Politics ILS 363
* political systems literature role
* literature politics interactions

### llm requirements status

valid

### llm student summary status

valid

### llm experience status

valid

### catalog variants

None recorded.

### student summary

#### context hash

b7423bbbc8d3a28aff1584c99ea2b886e20fe440c3db22778772e8625b61bd58

#### course id

ILS/POLISCI 363

#### current instructors

```json
[
  {
    "instructor_uid": "instructor_97babf9cff8b9972e95ee641",
    "message": "No course-specific reviews available",
    "name": "Jeffrey Church",
    "review_status": "no_course_reviews",
    "rmp_instructor_id": null,
    "summary": []
  }
]
```

#### difficulty workload

Historical reviews of Philip Bunn: One reviewer noted that Philip Bunn assigned a paper over spring break, suggesting potential workload timing issues.

```json
{
  "citations": [
    {
      "instructor_name": "Philip Bunn",
      "review_date": "2022-03-18 19:40:06 +0000 UTC",
      "review_id": "d66d32c01e154b1906a8207c",
      "run_id": "20260907T155543-ce3781c4",
      "source_instructor_id": "rmp:2734896",
      "source_review_id": "UmF0aW5nLTM1OTQ5NzYw",
      "source_url": "https://www.ratemyprofessors.com/professor/2734896",
      "type": "review"
    }
  ]
}
```

#### errors

None recorded.

#### historical context

No reviews exist for current instructor Jeffrey Church. Historical reviews for Philip Bunn describe engaging discussions and openness to ideas, though one reviewer noted a paper assigned over spring break. Michelle Schwarze received a negative review citing a mean demeanor.

```json
{
  "citations": [
    {
      "instructor_name": "Philip Bunn",
      "review_date": "2021-11-09 23:42:10 +0000 UTC",
      "review_id": "ed35ad66a9d7917d1eeff03d",
      "run_id": "20260907T155543-ce3781c4",
      "source_instructor_id": "rmp:2734896",
      "source_review_id": "UmF0aW5nLTM1MjE1MDI3",
      "source_url": "https://www.ratemyprofessors.com/professor/2734896",
      "type": "review"
    },
    {
      "instructor_name": "Michelle Schwarze",
      "review_date": "2022-01-26 01:02:55 +0000 UTC",
      "review_id": "86d38023bf2e7be58170ad61",
      "run_id": "20260907T155543-ce3781c4",
      "source_instructor_id": "rmp:1853160",
      "source_review_id": "UmF0aW5nLTM1Nzk3NTA3",
      "source_url": "https://www.ratemyprofessors.com/professor/1853160",
      "type": "review"
    },
    {
      "instructor_name": "Philip Bunn",
      "review_date": "2022-03-18 19:40:06 +0000 UTC",
      "review_id": "d66d32c01e154b1906a8207c",
      "run_id": "20260907T155543-ce3781c4",
      "source_instructor_id": "rmp:2734896",
      "source_review_id": "UmF0aW5nLTM1OTQ5NzYw",
      "source_url": "https://www.ratemyprofessors.com/professor/2734896",
      "type": "review"
    }
  ]
}
```

#### offered

true

#### profile hash

e59ddc7389015d0035b68cd195c939d475bf72b959b29cf12eab59b454ccaef1

#### quick take

Reviews for historical instructors are polarized, ranging from a favorite class with engaging discussions to the meanest professor experienced. No reviews exist for the current instructor, Jeffrey Church.

```json
{
  "citations": [
    {
      "instructor_name": "Philip Bunn",
      "review_date": "2021-11-09 23:42:10 +0000 UTC",
      "review_id": "ed35ad66a9d7917d1eeff03d",
      "run_id": "20260907T155543-ce3781c4",
      "source_instructor_id": "rmp:2734896",
      "source_review_id": "UmF0aW5nLTM1MjE1MDI3",
      "source_url": "https://www.ratemyprofessors.com/professor/2734896",
      "type": "review"
    },
    {
      "instructor_name": "Michelle Schwarze",
      "review_date": "2022-01-26 01:02:55 +0000 UTC",
      "review_id": "86d38023bf2e7be58170ad61",
      "run_id": "20260907T155543-ce3781c4",
      "source_instructor_id": "rmp:1853160",
      "source_review_id": "UmF0aW5nLTM1Nzk3NTA3",
      "source_url": "https://www.ratemyprofessors.com/professor/1853160",
      "type": "review"
    }
  ]
}
```

Recent recorded grades — Spring 2024: 3.67 GPA, 84.8% A/AB (n=33 letter grades); Fall 2024: 3.94 GPA, 100.0% A/AB (n=45 letter grades); Spring 2026: 3.77 GPA, 87.7% A/AB (n=57 letter grades).

```json
{
  "citations": [
    {
      "course_id": "ILS/POLISCI 363",
      "run_id": "20260907T155543-ce3781c4",
      "source_record": {
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        "file": "tables/observations.parquet",
        "kind": "grades",
        "source": "madgrades"
      },
      "table": "grades_latest",
      "term_id": "1264",
      "type": "grade"
    }
  ]
}
```

#### student experience

Historical reviews of Philip Bunn: Philip Bunn was praised for avoiding heavy lectures and fostering open discussion where he spent class time exploring student ideas.

```json
{
  "citations": [
    {
      "instructor_name": "Philip Bunn",
      "review_date": "2021-11-09 23:42:10 +0000 UTC",
      "review_id": "ed35ad66a9d7917d1eeff03d",
      "run_id": "20260907T155543-ce3781c4",
      "source_instructor_id": "rmp:2734896",
      "source_review_id": "UmF0aW5nLTM1MjE1MDI3",
      "source_url": "https://www.ratemyprofessors.com/professor/2734896",
      "type": "review"
    }
  ]
}
```

#### task hash

74fb0997943e888960bbc9e47db8c4fd12e4292d55c20509d8d89db6a9910f68

#### teaching history

PHILIP BUNN is recorded teaching in Fall 2021, Spring 2022. Recorded history may be incomplete and does not establish a future schedule.

```json
{
  "citations": [
    {
      "course_id": "ILS/POLISCI 363",
      "run_id": "20260907T155543-ce3781c4",
      "section_number": 1,
      "source_course_id": "5286689f-c383-3298-9cd2-0f5ce232ae87",
      "source_record": {
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        "file": "tables/observations.parquet",
        "kind": "grades",
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      },
      "table": "section_grades_latest",
      "term_id": "1222",
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      "course_id": "ILS/POLISCI 363",
      "run_id": "20260907T155543-ce3781c4",
      "section_number": 1,
      "source_course_id": "5286689f-c383-3298-9cd2-0f5ce232ae87",
      "source_record": {
        "entity_id": "5286689f-c383-3298-9cd2-0f5ce232ae87",
        "file": "tables/observations.parquet",
        "kind": "grades",
        "source": "madgrades"
      },
      "table": "section_grades_latest",
      "term_id": "1224",
      "type": "grade"
    }
  ]
}
```

#### 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

None recorded.

#### root

n0

#### status

parsed

### instructors

| instructor\_uid                      | source     | source\_instructor\_id | identity\_basis | identity\_status   | name           | email              | first\_observed\_at              | last\_observed\_at               | instructor\_url              |
| ------------------------------------ | ---------- | ---------------------- | --------------- | ------------------ | -------------- | ------------------ | -------------------------------- | -------------------------------- | ---------------------------- |
| instructor\_97babf9cff8b9972e95ee641 | enrollment | jchurch4               | netid           | source\_identified | Jeffrey Church | JCHURCH4\@WISC.EDU | 2026-09-07 15:55:43.033547+00:00 | 2026-09-07 15:55:43.033547+00:00 | /instructors/JEFFREY\_CHURCH |

### offerings

```json
[
  {
    "run_id": "20260907T155543-ce3781c4",
    "semester": "1272",
    "observed_at": "2026-09-07 15:55:43.033547+00:00",
    "offering_id": "1272:500:015989",
    "course_id": "ILS/POLISCI 363",
    "course_uid": "course_59020fdafae4af854a2a4b59",
    "term_id": "1272",
    "source_course_id": "015989",
    "source_subject_id": "500",
    "title": "Literature and Politics",
    "credits_min": 3,
    "credits_max": 4,
    "typically_offered": "Occasionally"
  },
  {
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    "semester": "1272",
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    "source_subject_id": "778",
    "title": "Literature and Politics",
    "credits_min": 3,
    "credits_max": 4,
    "typically_offered": "Occasionally"
  }
]
```

### sections

```json
[
  {
    "run_id": "20260907T155543-ce3781c4",
    "observed_at": "2026-09-07 15:55:43.033547+00:00",
    "section_uid": "uw-section:1272:36146",
    "term_id": "1272",
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    "identity_basis": "class_number",
    "section_number": "001",
    "section_type": "LEC",
    "instruction_mode": "Classroom Instruction",
    "capacity": 60,
    "enrolled": 3,
    "waitlisted": 0,
    "start_date": "2026-09-02 05:00:00+00:00",
    "end_date": "2026-12-09 06:00:00+00:00"
  },
  {
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    "observed_at": "2026-09-07 15:55:43.033547+00:00",
    "section_uid": "uw-section:1272:35313",
    "term_id": "1272",
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    "identity_basis": "class_number",
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    "section_type": "LEC",
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    "capacity": 60,
    "enrolled": 53,
    "waitlisted": 0,
    "start_date": "2026-09-02 05:00:00+00:00",
    "end_date": "2026-12-09 06:00:00+00:00"
  }
]
```

### grade instructors

```json
[
  {
    "instructor_uid": "instructor_619db0a5b475763c84d32156",
    "source": "madgrades",
    "source_instructor_id": "5013541",
    "identity_basis": "source_id",
    "identity_status": "source_identified",
    "name": "KATHERINE ROBIADEK",
    "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": 3.735,
      "graded": 49,
      "counts": [
        32,
        12,
        4,
        0,
        0,
        1,
        0
      ],
      "sections": 1
    },
    "instructor_url": "/instructors/KATHERINE_ROBIADEK"
  },
  {
    "instructor_uid": "instructor_49d5d405b8893d7388bcef42",
    "source": "madgrades",
    "source_instructor_id": "5340642",
    "identity_basis": "source_id",
    "identity_status": "source_identified",
    "name": "MARI LEWIS",
    "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": 9,
      "quality": 4.33,
      "difficulty": 1.78,
      "quality_count": 9,
      "difficulty_count": 9,
      "profile_id": "rmp:2199504",
      "source_url": "https://www.ratemyprofessors.com/professor/2199504",
      "match_basis": "exact_name",
      "observed_at": "2026-09-07 16:21:06.591540+00:00",
      "courses": {
        "course_d80dccb1baca4b05890eda4d": {
          "review_count": 1,
          "quality": 5,
          "difficulty": 2,
          "quality_count": 1,
          "difficulty_count": 1
        },
        "course_0e5433050865b365bbe420ee": {
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      "bayesian_quality": 3.8677143334804107,
      "prior_mean": 3.6596857835465957,
      "prior_weight": 20
    },
    "grade_statistics": {
      "gpa": 3.891,
      "graded": 436,
      "counts": [
        379,
        34,
        13,
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        2,
        1,
        0
      ],
      "sections": 22
    },
    "instructor_url": "/instructors/MARI_LEWIS"
  },
  {
    "instructor_uid": "instructor_8e43d8c5841e98b639e6df08",
    "source": "madgrades",
    "source_instructor_id": "5887513",
    "identity_basis": "source_id",
    "identity_status": "source_identified",
    "name": "PHILIP BUNN",
    "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": 2,
      "quality": 3.5,
      "difficulty": 1,
      "quality_count": 2,
      "difficulty_count": 2,
      "profile_id": "rmp:2734896",
      "source_url": "https://www.ratemyprofessors.com/professor/2734896",
      "match_basis": "exact_name",
      "observed_at": "2026-09-07 16:11:54.696464+00:00",
      "courses": {
        "course_59020fdafae4af854a2a4b59": {
          "review_count": 2,
          "quality": 3.5,
          "difficulty": 1,
          "quality_count": 2,
          "difficulty_count": 2
        }
      },
      "bayesian_quality": 3.6451688941332687,
      "prior_mean": 3.6596857835465957,
      "prior_weight": 20
    },
    "grade_statistics": {
      "gpa": 3.475,
      "graded": 259,
      "counts": [
        102,
        83,
        51,
        15,
        5,
        1,
        2
      ],
      "sections": 4
    },
    "instructor_url": "/instructors/PHILIP_BUNN"
  },
  {
    "instructor_uid": "instructor_f5a45faa9aa0e71278768163",
    "source": "madgrades",
    "source_instructor_id": "4004545",
    "identity_basis": "source_id",
    "identity_status": "source_identified",
    "name": "RICHARD AVRAMENKO",
    "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": 81,
      "quality": 4.2,
      "difficulty": 2.91,
      "quality_count": 81,
      "difficulty_count": 81,
      "profile_id": "rmp:715075",
      "source_url": "https://www.ratemyprofessors.com/professor/715075",
      "match_basis": "exact_name",
      "observed_at": "2026-09-07 16:10:05.583287+00:00",
      "courses": {
        "course_dac3c0e554bb8fd4c39452f9": {
          "review_count": 53,
          "quality": 4.21,
          "difficulty": 2.87,
          "quality_count": 53,
          "difficulty_count": 53
        },
        "course_017a664e53519bdfefed2e63": {
          "review_count": 13,
          "quality": 4.38,
          "difficulty": 2.92,
          "quality_count": 13,
          "difficulty_count": 13
        },
        "course_a97e454f723243758e7a66ab": {
          "review_count": 1,
          "quality": 5,
          "difficulty": 3,
          "quality_count": 1,
          "difficulty_count": 1
        }
      },
      "bayesian_quality": 4.093007085850811,
      "prior_mean": 3.6596857835465957,
      "prior_weight": 20
    },
    "grade_statistics": {
      "gpa": 3.246,
      "graded": 2887,
      "counts": [
        675,
        948,
        790,
        302,
        94,
        40,
        38
      ],
      "sections": 109
    },
    "instructor_url": "/instructors/RICHARD_AVRAMENKO--instructor_f5a45faa9aa0e71278768163"
  },
  {
    "instructor_uid": "instructor_46f37a7c14ad168a8447cf38",
    "source": "madgrades",
    "source_instructor_id": "4956243",
    "identity_basis": "source_id",
    "identity_status": "source_identified",
    "name": "NOAH STENGL",
    "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": 6,
      "quality": 5,
      "difficulty": 2.83,
      "quality_count": 6,
      "difficulty_count": 6,
      "profile_id": "rmp:3059104",
      "source_url": "https://www.ratemyprofessors.com/professor/3059104",
      "match_basis": "exact_name",
      "observed_at": "2026-09-07 16:13:44.582762+00:00",
      "courses": {},
      "bayesian_quality": 3.9689890642666117,
      "prior_mean": 3.6596857835465957,
      "prior_weight": 20
    },
    "grade_statistics": {
      "gpa": 3.786,
      "graded": 288,
      "counts": [
        223,
        39,
        16,
        4,
        2,
        0,
        4
      ],
      "sections": 9
    },
    "instructor_url": "/instructors/NOAH_STENGL"
  },
  {
    "instructor_uid": "instructor_5435abfd3700a606dcd61e8d",
    "source": "madgrades",
    "source_instructor_id": "6296372",
    "identity_basis": "source_id",
    "identity_status": "source_identified",
    "name": "ALEISHA LACHETTE",
    "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": 3.667,
      "graded": 48,
      "counts": [
        35,
        5,
        5,
        1,
        0,
        1,
        1
      ],
      "sections": 2
    },
    "instructor_url": "/instructors/ALEISHA_LACHETTE--instructor_5435abfd3700a606dcd61e8d"
  },
  {
    "instructor_uid": "instructor_7525c1e21df7f0f10e537e0b",
    "source": "madgrades",
    "source_instructor_id": "6461893",
    "identity_basis": "source_id",
    "identity_status": "source_identified",
    "name": "RACHEL WEI FEN TAN",
    "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": 3.803,
      "graded": 76,
      "counts": [
        58,
        10,
        5,
        2,
        1,
        0,
        0
      ],
      "sections": 2
    },
    "instructor_url": "/instructors/RACHEL_WEI_FEN_TAN--instructor_7525c1e21df7f0f10e537e0b"
  },
  {
    "instructor_uid": "instructor_97babf9cff8b9972e95ee641",
    "source": "enrollment",
    "source_instructor_id": "jchurch4",
    "identity_basis": "netid",
    "identity_status": "source_identified",
    "name": "Jeffrey Church",
    "email": "JCHURCH4@WISC.EDU",
    "first_observed_at": "2026-09-07 15:55:43.033547+00:00",
    "last_observed_at": "2026-09-07 15:55:43.033547+00:00",
    "instructor_url": "/instructors/JEFFREY_CHURCH"
  }
]
```

### grades

```json
[
  {
    "run_id": "20260907T155543-ce3781c4",
    "semester": "1272",
    "observed_at": "2026-09-07 15:55:43.033547+00:00",
    "course_id": "ILS/POLISCI 363",
    "course_uid": "course_59020fdafae4af854a2a4b59",
    "term_id": "1184",
    "term_name": "Spring 2018",
    "instructors": [
      "KATHERINE ROBIADEK"
    ],
    "a": 32,
    "ab": 12,
    "b": 4,
    "bc": 0,
    "c": 0,
    "d": 1,
    "f": 0,
    "satisfactory": 0,
    "unsatisfactory": 0,
    "credit": 0,
    "no_credit": 0,
    "passed": 0,
    "incomplete": 0,
    "no_work": 0,
    "not_reported": 0,
    "other": 0,
    "total": 49,
    "source_aliases": [
      "ILS/POLISCI 363",
      "POLISCI 363"
    ]
  },
  {
    "run_id": "20260907T155543-ce3781c4",
    "semester": "1272",
    "observed_at": "2026-09-07 15:55:43.033547+00:00",
    "course_id": "ILS/POLISCI 363",
    "course_uid": "course_59020fdafae4af854a2a4b59",
    "term_id": "1194",
    "term_name": "Spring 2019",
    "instructors": [
      "MARI LEWIS"
    ],
    "a": 18,
    "ab": 22,
    "b": 5,
    "bc": 4,
    "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": 49,
    "source_aliases": [
      "ILS/POLISCI 363",
      "POLISCI 363"
    ]
  },
  {
    "run_id": "20260907T155543-ce3781c4",
    "semester": "1272",
    "observed_at": "2026-09-07 15:55:43.033547+00:00",
    "course_id": "ILS/POLISCI 363",
    "course_uid": "course_59020fdafae4af854a2a4b59",
    "term_id": "1222",
    "term_name": "Fall 2021",
    "instructors": [
      "PHILIP BUNN",
      "RICHARD AVRAMENKO"
    ],
    "a": 37,
    "ab": 5,
    "b": 0,
    "bc": 1,
    "c": 0,
    "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": 44,
    "source_aliases": [
      "ILS/POLISCI 363",
      "POLISCI 363"
    ]
  },
  {
    "run_id": "20260907T155543-ce3781c4",
    "semester": "1272",
    "observed_at": "2026-09-07 15:55:43.033547+00:00",
    "course_id": "ILS/POLISCI 363",
    "course_uid": "course_59020fdafae4af854a2a4b59",
    "term_id": "1224",
    "term_name": "Spring 2022",
    "instructors": [
      "PHILIP BUNN"
    ],
    "a": 20,
    "ab": 17,
    "b": 1,
    "bc": 2,
    "c": 1,
    "d": 1,
    "f": 0,
    "satisfactory": 0,
    "unsatisfactory": 0,
    "credit": 0,
    "no_credit": 0,
    "passed": 0,
    "incomplete": 2,
    "no_work": 2,
    "not_reported": 0,
    "other": 0,
    "total": 46,
    "source_aliases": [
      "ILS/POLISCI 363",
      "POLISCI 363"
    ]
  },
  {
    "run_id": "20260907T155543-ce3781c4",
    "semester": "1272",
    "observed_at": "2026-09-07 15:55:43.033547+00:00",
    "course_id": "ILS/POLISCI 363",
    "course_uid": "course_59020fdafae4af854a2a4b59",
    "term_id": "1234",
    "term_name": "Spring 2023",
    "instructors": [
      "NOAH STENGL"
    ],
    "a": 37,
    "ab": 7,
    "b": 2,
    "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": 2,
    "other": 0,
    "total": 48,
    "source_aliases": [
      "ILS/POLISCI 363",
      "POLISCI 363"
    ]
  },
  {
    "run_id": "20260907T155543-ce3781c4",
    "semester": "1272",
    "observed_at": "2026-09-07 15:55:43.033547+00:00",
    "course_id": "ILS/POLISCI 363",
    "course_uid": "course_59020fdafae4af854a2a4b59",
    "term_id": "1244",
    "term_name": "Spring 2024",
    "instructors": [
      "ALEISHA LACHETTE",
      "Aleisha Lachette"
    ],
    "a": 26,
    "ab": 2,
    "b": 3,
    "bc": 0,
    "c": 0,
    "d": 1,
    "f": 1,
    "satisfactory": 0,
    "unsatisfactory": 0,
    "credit": 0,
    "no_credit": 0,
    "passed": 0,
    "incomplete": 0,
    "no_work": 0,
    "not_reported": 0,
    "other": 0,
    "total": 33,
    "source_aliases": [
      "ILS/POLISCI 363",
      "POLISCI 363"
    ]
  },
  {
    "run_id": "20260907T155543-ce3781c4",
    "semester": "1272",
    "observed_at": "2026-09-07 15:55:43.033547+00:00",
    "course_id": "ILS/POLISCI 363",
    "course_uid": "course_59020fdafae4af854a2a4b59",
    "term_id": "1252",
    "term_name": "Fall 2024",
    "instructors": [
      "NOAH STENGL"
    ],
    "a": 40,
    "ab": 5,
    "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": 45,
    "source_aliases": [
      "ILS/POLISCI 363",
      "POLISCI 363"
    ]
  },
  {
    "run_id": "20260907T155543-ce3781c4",
    "semester": "1272",
    "observed_at": "2026-09-07 15:55:43.033547+00:00",
    "course_id": "ILS/POLISCI 363",
    "course_uid": "course_59020fdafae4af854a2a4b59",
    "term_id": "1264",
    "term_name": "Spring 2026",
    "instructors": [
      "Rachel Wei Fen Tan"
    ],
    "a": 42,
    "ab": 8,
    "b": 4,
    "bc": 2,
    "c": 1,
    "d": 0,
    "f": 0,
    "satisfactory": 0,
    "unsatisfactory": 0,
    "credit": 0,
    "no_credit": 0,
    "passed": 0,
    "incomplete": 0,
    "no_work": 0,
    "not_reported": 0,
    "other": 0,
    "total": 57,
    "source_aliases": [
      "ILS/POLISCI 363"
    ]
  }
]
```

### statistics

#### gpa

3.757

#### graded

364

#### counts

* 252
* 78
* 19
* 9
* 2
* 3
* 1

### grade conflicts

None recorded.

### evidence

#### history

* [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course\_59020fdafae4af854a2a4b59-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course_59020fdafae4af854a2a4b59-0.json)

#### traces

* [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course\_59020fdafae4af854a2a4b59-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course_59020fdafae4af854a2a4b59-0.json)

#### reviews

* [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/reviews/course\_59020fdafae4af854a2a4b59-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/reviews/course_59020fdafae4af854a2a4b59-0.json)

#### meetings

* [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/meetings/course\_59020fdafae4af854a2a4b59-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/meetings/course_59020fdafae4af854a2a4b59-0.json)

#### results

* [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course\_59020fdafae4af854a2a4b59-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course_59020fdafae4af854a2a4b59-0.json)

### revision

e243353dcb7d79b7247ced91d69443ef4c2a6349

## context

### all

#### term



#### gpa

3.756868131868132

#### count

364

#### university

##### size

3986

##### gpa Percentile

52

##### count Percentile

82

##### median Count

108

##### 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 | 260   | false   |
| 3.2–3.6 | 1047  | false   |
| 3.6–4.0 | 2665  | true    |

#### departments

```json
[
  {
    "subject": "ILS",
    "comparison": {
      "size": 22,
      "gpaPercentile": 71,
      "countPercentile": 81,
      "medianCount": 111,
      "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": 6,
          "current": false
        },
        {
          "range": "3.6–4.0",
          "count": 14,
          "current": true
        }
      ]
    }
  },
  {
    "subject": "POLISCI",
    "comparison": {
      "size": 92,
      "gpaPercentile": 76,
      "countPercentile": 84,
      "medianCount": 101,
      "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": 36,
          "current": false
        },
        {
          "range": "3.6–4.0",
          "count": 47,
          "current": true
        }
      ]
    }
  }
]
```

### terms

#### 1184

##### term

1184

##### gpa

3.7346938775510203

##### count

49

##### university

###### size

1010

###### gpa Percentile

72

###### count Percentile

33

###### median Count

68

###### histogram

| range   | count | current |
| ------- | ----- | ------- |
| 0.0–0.4 | 0     | false   |
| 0.4–0.8 | 0     | false   |
| 0.8–1.2 | 0     | false   |
| 1.2–1.6 | 0     | false   |
| 1.6–2.0 | 0     | false   |
| 2.0–2.4 | 1     | false   |
| 2.4–2.8 | 26    | false   |
| 2.8–3.2 | 210   | false   |
| 3.2–3.6 | 355   | false   |
| 3.6–4.0 | 418   | true    |

##### departments

```json
[
  {
    "subject": "ILS",
    "comparison": null
  },
  {
    "subject": "POLISCI",
    "comparison": {
      "size": 28,
      "gpaPercentile": 89,
      "countPercentile": 33,
      "medianCount": 51,
      "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": 14,
          "current": false
        },
        {
          "range": "3.6–4.0",
          "count": 9,
          "current": true
        }
      ]
    }
  }
]
```

#### 1194

##### term

1194

##### gpa

3.5510204081632653

##### count

49

##### university

###### size

1040

###### gpa Percentile

52

###### count Percentile

32

###### 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": "ILS",
    "comparison": null
  },
  {
    "subject": "POLISCI",
    "comparison": {
      "size": 28,
      "gpaPercentile": 78,
      "countPercentile": 26,
      "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
        }
      ]
    }
  }
]
```

#### 1222

##### term

1222

##### gpa

3.9069767441860463

##### count

43

##### university

###### size

1157

###### gpa Percentile

86

###### count Percentile

27

###### 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": "ILS",
    "comparison": null
  },
  {
    "subject": "POLISCI",
    "comparison": {
      "size": 32,
      "gpaPercentile": 97,
      "countPercentile": 26,
      "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
        }
      ]
    }
  }
]
```

#### 1224

##### term

1224

##### gpa

3.5833333333333335

##### count

42

##### university

###### size

1171

###### gpa Percentile

46

###### count Percentile

26

###### 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   | false   |
| 3.2–3.6 | 358   | true    |
| 3.6–4.0 | 616   | false   |

##### departments

```json
[
  {
    "subject": "ILS",
    "comparison": null
  },
  {
    "subject": "POLISCI",
    "comparison": {
      "size": 28,
      "gpaPercentile": 56,
      "countPercentile": 15,
      "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": false
        },
        {
          "range": "3.2–3.6",
          "count": 15,
          "current": true
        },
        {
          "range": "3.6–4.0",
          "count": 11,
          "current": false
        }
      ]
    }
  }
]
```

#### 1234

##### term

1234

##### gpa

3.880434782608696

##### count

46

##### university

###### size

1188

###### gpa Percentile

78

###### count Percentile

31

###### 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 | 3     | false   |
| 2.4–2.8 | 17    | false   |
| 2.8–3.2 | 144   | false   |
| 3.2–3.6 | 374   | false   |
| 3.6–4.0 | 650   | true    |

##### departments

```json
[
  {
    "subject": "ILS",
    "comparison": null
  },
  {
    "subject": "POLISCI",
    "comparison": {
      "size": 28,
      "gpaPercentile": 89,
      "countPercentile": 30,
      "medianCount": 60.5,
      "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": 13,
          "current": false
        },
        {
          "range": "3.6–4.0",
          "count": 14,
          "current": true
        }
      ]
    }
  }
]
```

#### 1244

##### term

1244

##### gpa

3.6666666666666665

##### count

33

##### university

###### size

1241

###### gpa Percentile

52

###### count Percentile

7

###### 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": "ILS",
    "comparison": null
  },
  {
    "subject": "POLISCI",
    "comparison": {
      "size": 31,
      "gpaPercentile": 67,
      "countPercentile": 7,
      "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

3.9444444444444446

##### count

45

##### university

###### size

1333

###### gpa Percentile

88

###### 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   | false   |
| 3.6–4.0 | 773   | true    |

##### departments

```json
[
  {
    "subject": "ILS",
    "comparison": null
  },
  {
    "subject": "POLISCI",
    "comparison": {
      "size": 32,
      "gpaPercentile": 94,
      "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": false
        },
        {
          "range": "3.6–4.0",
          "count": 17,
          "current": true
        }
      ]
    }
  }
]
```

#### 1264

##### term

1264

##### gpa

3.7719298245614037

##### count

57

##### university

###### size

1283

###### gpa Percentile

59

###### count Percentile

42

###### 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": "ILS",
    "comparison": null
  },
  {
    "subject": "POLISCI",
    "comparison": {
      "size": 30,
      "gpaPercentile": 72,
      "countPercentile": 38,
      "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

3986

###### gpa

3.6782346035069087

###### top Share

83.10782593545083

###### count

108

##### ILS

###### size

22

###### gpa

3.6078693602056005

###### top Share

81.18243886303325

###### count

111

##### POLISCI

###### size

92

###### gpa

3.5649328843285137

###### top Share

79.11650205939803

###### count

101

#### terms

##### 1184

###### school

###### size

1010

###### gpa

3.47925290354517

###### top Share

70.86270937115944

###### count

68

###### POLISCI

###### size

28

###### gpa

3.419036487558007

###### top Share

69.50826051414016

###### count

51

##### 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

##### 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

##### 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

##### 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

##### 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_46f37a7c14ad168a8447cf38",
    "name": "NOAH STENGL",
    "count": 91,
    "terms": [
      {
        "term": "1234",
        "count": 46,
        "sections": 1,
        "gpa": 3.880434782608696
      },
      {
        "term": "1252",
        "count": 45,
        "sections": 1,
        "gpa": 3.9444444444444446
      }
    ]
  },
  {
    "uid": "instructor_8e43d8c5841e98b639e6df08",
    "name": "PHILIP BUNN",
    "count": 85,
    "terms": [
      {
        "term": "1222",
        "count": 43,
        "sections": 1,
        "gpa": 3.9069767441860463
      },
      {
        "term": "1224",
        "count": 42,
        "sections": 1,
        "gpa": 3.5833333333333335
      }
    ]
  },
  {
    "uid": "instructor_7525c1e21df7f0f10e537e0b",
    "name": "RACHEL WEI FEN TAN",
    "count": 57,
    "terms": [
      {
        "term": "1264",
        "count": 57,
        "sections": 1,
        "gpa": 3.7719298245614037
      }
    ]
  },
  {
    "uid": "instructor_49d5d405b8893d7388bcef42",
    "name": "MARI LEWIS",
    "count": 49,
    "terms": [
      {
        "term": "1194",
        "count": 49,
        "sections": 1,
        "gpa": 3.5510204081632653
      }
    ]
  },
  {
    "uid": "instructor_619db0a5b475763c84d32156",
    "name": "KATHERINE ROBIADEK",
    "count": 49,
    "terms": [
      {
        "term": "1184",
        "count": 49,
        "sections": 1,
        "gpa": 3.7346938775510203
      }
    ]
  },
  {
    "uid": "instructor_f5a45faa9aa0e71278768163",
    "name": "RICHARD AVRAMENKO",
    "count": 43,
    "terms": [
      {
        "term": "1222",
        "count": 43,
        "sections": 1,
        "gpa": 3.9069767441860463
      }
    ]
  },
  {
    "uid": "instructor_5435abfd3700a606dcd61e8d",
    "name": "ALEISHA LACHETTE",
    "count": 33,
    "terms": [
      {
        "term": "1244",
        "count": 33,
        "sections": 1,
        "gpa": 3.6666666666666665
      }
    ]
  }
]
```

## following

None recorded.

## projection

### target

1272

### gpa

3.8291162524575544

### grades

| grade | percentage          |
| ----- | ------------------- |
| A     | 79.59573831496623   |
| AB    | 14.05086827771389   |
| B     | 3.3292887484203266  |
| BC    | 1.4497403224350143  |
| C     | 0.5666694471513933  |
| D     | 0.6050770682405573  |
| F     | 0.40261782107261423 |

### source Terms

* 1264
* 1252
* 1244
* 1234
* 1224
* 1222

### source Count

266

### same Season

false

### historical Range

* 3.583333333333333
* 3.944444444444444
