# POLISCI 347: Terrorism | UW–Madison

[View on UW Courses](https://uwcourses.com/courses/POLISCI_347)

## 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
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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

347b8be9328e421e921c9b2ffb310cb6d9c1cc06abdbe6ef376450eb39a1bbbb

### course id

POLISCI 347

### course uid

course\_b618f3b6fddfe8f0d46b0296

### catalog version id

dfebfbfd1f21e62db5983ece0ef03cec1dd7d29778b427601ec4390242ce0d51

### course number

347

### subjects

* POLISCI

### title

TERRORISM

### description

Examines the causes of terrorism, goals and strategies pursued by terrorist groups, the consequences of terrorism, and counterterrorism policies adopted by governments. Not open to students with credit for POLI SCI 319 prior to fall 2017

### requirements text

Sophomore standing and (POLI SCI 104,120,140,182, 184,INTL ST 101orLEGAL ST/​POLI SCI  217) or (POLI SCI 103, 106, or 186 taken prior to fall 2017) or graduate standing

### credits min

3

### credits max

3

### credit offering ids

* 1272:778:023594

### llm job id

enrich-ecd149b6a6e0877fce2f3d1c

### llm output id

1f265646a782a5d5f21bb8fbf8d7b619f80251df6ab805950502725101666f3e

### llm model

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

### llm model revision

1355db6a052410cfd62085d94b58866fd0f2c3c5

### llm task version

14

### llm search status

valid

### llm summary

POLISCI 347 examines the causes, strategies, consequences, and counterterrorism policies related to terrorism.

### llm topics

* Causes of terrorism
* Terrorist group goals and strategies
* Consequences of terrorism
* Government counterterrorism policies

### llm skills

* Analysis of terrorism causes, group strategies, consequences, and government counterterrorism policies.

### llm assumed background

* Foundational knowledge in American politics, comparative politics, international relations, and international studies.
* Understanding of core political science sub-fields to avoid redundant credit.

### llm search phrases

* terrorism causes strategies counterterrorism
* POLISCI 347 terrorism course
* political science terrorism graduate

### llm requirements status

valid

### llm student summary status

valid

### llm experience status

insufficient\_evidence

### catalog variants

None recorded.

### student summary

#### context hash

38bb934fa35fc63910a11fa13e4cc7c847245f31d2aa582fe7848db0e05dd95b

#### course id

POLISCI 347

#### current instructors

```json
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    "message": "No course-specific reviews available",
    "name": "Ariel Reichard",
    "review_status": "no_course_reviews",
    "rmp_instructor_id": null,
    "summary": []
  }
]
```

#### difficulty workload

Historical reviews of Andrew Kydd: Students must complete a 4000-word term paper, though they have ample time to work on it and seek help.

```json
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      "type": "review"
    }
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```

#### errors

None recorded.

#### historical context

Historical reviews for Andrew Kydd describe conflicting experiences. One student found the class interesting with crucial readings and a manageable term paper. Others criticized the lectures as boring, the professor as unapproachable, and the grading as harsh and based on minute details. One review also noted inappropriate classroom humor.

```json
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    {
      "instructor_name": "Andrew Kydd",
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    {
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      "type": "review"
    },
    {
      "instructor_name": "Andrew Kydd",
      "review_date": "2025-03-18 22:42:59 +0000 UTC",
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true

#### profile hash

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#### quick take

Historical reviews of Andrew Kydd: The course is interesting with non-mandatory lectures, but readings are crucial for the final exam and a 4000-word term paper is required.

```json
{
  "citations": [
    {
      "instructor_name": "Andrew Kydd",
      "review_date": "2019-04-10 03:17:02 +0000 UTC",
      "review_id": "4ca570117598d916781042e4",
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      "source_url": "https://www.ratemyprofessors.com/professor/1043300",
      "type": "review"
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```

Recent recorded grades — Fall 2020: 3.39 GPA, 69.7% A/AB (n=218 letter grades); Fall 2024: 3.06 GPA, 50.0% A/AB (n=98 letter grades); Fall 2025: 3.32 GPA, 64.0% A/AB (n=136 letter grades).

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#### student experience

Historical reviews of Andrew Kydd: Lectures are not mandatory and many students skip them, making the readings essential for success on the final exam.

```json
{
  "citations": [
    {
      "instructor_name": "Andrew Kydd",
      "review_date": "2019-04-10 03:17:02 +0000 UTC",
      "review_id": "4ca570117598d916781042e4",
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      "source_url": "https://www.ratemyprofessors.com/professor/1043300",
      "type": "review"
    }
  ]
}
```

#### task hash

74fb0997943e888960bbc9e47db8c4fd12e4292d55c20509d8d89db6a9910f68

#### teaching history

ANDREW KYDD is recorded teaching in Fall 2017, Fall 2018, Fall 2019, Fall 2020, Fall 2024, Fall 2025. Recorded history may be incomplete and does not establish a future schedule.

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```

#### term id

1272

#### term name

2026 Fall

#### version

2

### requirements

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    "kind": "course"
  },
  {
    "children": [],
    "condition": null,
    "course": {
      "course_number": 217,
      "minimum_grade": null,
      "subjects": [
        "LEGALST",
        "POLISCI"
      ],
      "timing": "prior"
    },
    "evidence": "LEGAL ST/POLI SCI 217",
    "id": "n12",
    "kind": "course"
  }
]
```

#### 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\_5679433525fa3c7342fa5d07 | enrollment | areichard              | netid           | source\_identified | Ariel Reichard | AREICHARD\@WISC.EDU | 2026-09-07 15:55:43.033547+00:00 | 2026-09-07 15:55:43.033547+00:00 | /instructors/ARIEL\_REICHARD |

### offerings

```json
[
  {
    "run_id": "20260907T155543-ce3781c4",
    "semester": "1272",
    "observed_at": "2026-09-07 15:55:43.033547+00:00",
    "offering_id": "1272:778:023594",
    "course_id": "POLISCI 347",
    "course_uid": "course_b618f3b6fddfe8f0d46b0296",
    "term_id": "1272",
    "source_course_id": "023594",
    "source_subject_id": "778",
    "title": "Terrorism",
    "credits_min": 3,
    "credits_max": 3,
    "typically_offered": "Spring"
  }
]
```

### sections

```json
[
  {
    "run_id": "20260907T155543-ce3781c4",
    "observed_at": "2026-09-07 15:55:43.033547+00:00",
    "section_uid": "uw-section:1272:35300",
    "term_id": "1272",
    "source_section_id": "35300",
    "identity_basis": "class_number",
    "section_number": "001",
    "section_type": "LEC",
    "instruction_mode": "Classroom Instruction",
    "capacity": 120,
    "enrolled": 119,
    "waitlisted": 2,
    "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_4763e87370d856ad424f4a1e",
    "source": "madgrades",
    "source_instructor_id": "4308518",
    "identity_basis": "source_id",
    "identity_status": "source_identified",
    "name": "ANDREW KYDD",
    "email": null,
    "first_observed_at": "2026-09-06 23:14:58.172943+00:00",
    "last_observed_at": "2026-09-07 15:55:43.033547+00:00",
    "ratings": {
      "review_count": 43,
      "quality": 3.26,
      "difficulty": 3.47,
      "quality_count": 43,
      "difficulty_count": 43,
      "profile_id": "rmp:1043300",
      "source_url": "https://www.ratemyprofessors.com/professor/1043300",
      "match_basis": "exact_name",
      "observed_at": "2026-09-07 16:55:25.462971+00:00",
      "courses": {
        "course_b618f3b6fddfe8f0d46b0296": {
          "review_count": 4,
          "quality": 2,
          "difficulty": 2.5,
          "quality_count": 4,
          "difficulty_count": 4
        },
        "course_06dafc75d411dce45dc57976": {
          "review_count": 1,
          "quality": 5,
          "difficulty": 2,
          "quality_count": 1,
          "difficulty_count": 1
        },
        "course_d3d71a4ff1544172c0550179": {
          "review_count": 1,
          "quality": 3,
          "difficulty": 5,
          "quality_count": 1,
          "difficulty_count": 1
        }
      },
      "bayesian_quality": 3.3868843757290774,
      "prior_mean": 3.6596857835465957,
      "prior_weight": 20
    },
    "grade_statistics": {
      "gpa": 3.302,
      "graded": 2523,
      "counts": [
        849,
        754,
        458,
        227,
        154,
        46,
        35
      ],
      "sections": 99
    },
    "instructor_url": "/instructors/ANDREW_KYDD--instructor_4763e87370d856ad424f4a1e"
  },
  {
    "instructor_uid": "instructor_5679433525fa3c7342fa5d07",
    "source": "enrollment",
    "source_instructor_id": "areichard",
    "identity_basis": "netid",
    "identity_status": "source_identified",
    "name": "Ariel Reichard",
    "email": "AREICHARD@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/ARIEL_REICHARD"
  }
]
```

### grades

```json
[
  {
    "run_id": "20260907T155543-ce3781c4",
    "semester": "1272",
    "observed_at": "2026-09-07 15:55:43.033547+00:00",
    "course_id": "POLISCI 347",
    "course_uid": "course_b618f3b6fddfe8f0d46b0296",
    "term_id": "1182",
    "term_name": "Fall 2017",
    "instructors": [
      "Andrew Kydd"
    ],
    "a": 21,
    "ab": 26,
    "b": 34,
    "bc": 12,
    "c": 6,
    "d": 2,
    "f": 0,
    "satisfactory": 4,
    "unsatisfactory": 0,
    "credit": 0,
    "no_credit": 0,
    "passed": 0,
    "incomplete": 0,
    "no_work": 0,
    "not_reported": 0,
    "other": 0,
    "total": 105,
    "source_aliases": [
      "POLISCI 347"
    ]
  },
  {
    "run_id": "20260907T155543-ce3781c4",
    "semester": "1272",
    "observed_at": "2026-09-07 15:55:43.033547+00:00",
    "course_id": "POLISCI 347",
    "course_uid": "course_b618f3b6fddfe8f0d46b0296",
    "term_id": "1192",
    "term_name": "Fall 2018",
    "instructors": [
      "Andrew Kydd"
    ],
    "a": 62,
    "ab": 38,
    "b": 25,
    "bc": 10,
    "c": 11,
    "d": 4,
    "f": 2,
    "satisfactory": 1,
    "unsatisfactory": 0,
    "credit": 0,
    "no_credit": 0,
    "passed": 0,
    "incomplete": 0,
    "no_work": 0,
    "not_reported": 0,
    "other": 0,
    "total": 153,
    "source_aliases": [
      "POLISCI 347"
    ]
  },
  {
    "run_id": "20260907T155543-ce3781c4",
    "semester": "1272",
    "observed_at": "2026-09-07 15:55:43.033547+00:00",
    "course_id": "POLISCI 347",
    "course_uid": "course_b618f3b6fddfe8f0d46b0296",
    "term_id": "1202",
    "term_name": "Fall 2019",
    "instructors": [
      "Andrew Kydd"
    ],
    "a": 40,
    "ab": 78,
    "b": 46,
    "bc": 15,
    "c": 5,
    "d": 0,
    "f": 2,
    "satisfactory": 5,
    "unsatisfactory": 0,
    "credit": 0,
    "no_credit": 0,
    "passed": 0,
    "incomplete": 3,
    "no_work": 0,
    "not_reported": 0,
    "other": 0,
    "total": 194,
    "source_aliases": [
      "POLISCI 347"
    ]
  },
  {
    "run_id": "20260907T155543-ce3781c4",
    "semester": "1272",
    "observed_at": "2026-09-07 15:55:43.033547+00:00",
    "course_id": "POLISCI 347",
    "course_uid": "course_b618f3b6fddfe8f0d46b0296",
    "term_id": "1212",
    "term_name": "Fall 2020",
    "instructors": [
      "Andrew Kydd"
    ],
    "a": 99,
    "ab": 53,
    "b": 33,
    "bc": 14,
    "c": 11,
    "d": 1,
    "f": 7,
    "satisfactory": 0,
    "unsatisfactory": 0,
    "credit": 0,
    "no_credit": 0,
    "passed": 0,
    "incomplete": 1,
    "no_work": 0,
    "not_reported": 0,
    "other": 0,
    "total": 219,
    "source_aliases": [
      "POLISCI 347"
    ]
  },
  {
    "run_id": "20260907T155543-ce3781c4",
    "semester": "1272",
    "observed_at": "2026-09-07 15:55:43.033547+00:00",
    "course_id": "POLISCI 347",
    "course_uid": "course_b618f3b6fddfe8f0d46b0296",
    "term_id": "1252",
    "term_name": "Fall 2024",
    "instructors": [
      "Andrew Kydd"
    ],
    "a": 17,
    "ab": 32,
    "b": 23,
    "bc": 9,
    "c": 12,
    "d": 4,
    "f": 1,
    "satisfactory": 11,
    "unsatisfactory": 0,
    "credit": 0,
    "no_credit": 0,
    "passed": 0,
    "incomplete": 0,
    "no_work": 0,
    "not_reported": 0,
    "other": 0,
    "total": 109,
    "source_aliases": [
      "POLISCI 347"
    ]
  },
  {
    "run_id": "20260907T155543-ce3781c4",
    "semester": "1272",
    "observed_at": "2026-09-07 15:55:43.033547+00:00",
    "course_id": "POLISCI 347",
    "course_uid": "course_b618f3b6fddfe8f0d46b0296",
    "term_id": "1262",
    "term_name": "Fall 2025",
    "instructors": [
      "Andrew Kydd"
    ],
    "a": 53,
    "ab": 34,
    "b": 25,
    "bc": 7,
    "c": 13,
    "d": 2,
    "f": 2,
    "satisfactory": 5,
    "unsatisfactory": 0,
    "credit": 0,
    "no_credit": 0,
    "passed": 0,
    "incomplete": 0,
    "no_work": 0,
    "not_reported": 0,
    "other": 0,
    "total": 141,
    "source_aliases": [
      "POLISCI 347"
    ]
  }
]
```

### statistics

#### gpa

3.295

#### graded

891

#### counts

* 292
* 261
* 186
* 67
* 58
* 13
* 14

### grade conflicts

None recorded.

### evidence

#### history

* [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course\_b618f3b6fddfe8f0d46b0296-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course_b618f3b6fddfe8f0d46b0296-0.json)

#### traces

* [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course\_b618f3b6fddfe8f0d46b0296-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course_b618f3b6fddfe8f0d46b0296-0.json)

#### reviews

* [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/reviews/course\_b618f3b6fddfe8f0d46b0296-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/reviews/course_b618f3b6fddfe8f0d46b0296-0.json)

#### meetings

* [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/meetings/course\_b618f3b6fddfe8f0d46b0296-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/meetings/course_b618f3b6fddfe8f0d46b0296-0.json)

#### results

* [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course\_b618f3b6fddfe8f0d46b0296-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course_b618f3b6fddfe8f0d46b0296-0.json)

### revision

e243353dcb7d79b7247ced91d69443ef4c2a6349

## context

### all

#### term



#### gpa

3.2951739618406286

#### count

891

#### university

##### size

3059

##### gpa Percentile

12

##### count Percentile

93

##### median Count

116

##### 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 | 4     | false   |
| 2.8–3.2 | 235   | false   |
| 3.2–3.6 | 826   | true    |
| 3.6–4.0 | 1993  | false   |

#### departments

```json
[
  {
    "subject": "POLISCI",
    "comparison": {
      "size": 71,
      "gpaPercentile": 11,
      "countPercentile": 96,
      "medianCount": 119,
      "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": 34,
          "current": true
        },
        {
          "range": "3.6–4.0",
          "count": 33,
          "current": false
        }
      ]
    }
  }
]
```

### terms

#### 1182

##### term

1182

##### gpa

3.1782178217821784

##### count

101

##### university

###### size

1025

###### gpa Percentile

22

###### count Percentile

69

###### 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 | 21    | false   |
| 2.8–3.2 | 216   | true    |
| 3.2–3.6 | 369   | false   |
| 3.6–4.0 | 418   | false   |

##### departments

```json
[
  {
    "subject": "POLISCI",
    "comparison": {
      "size": 27,
      "gpaPercentile": 19,
      "countPercentile": 81,
      "medianCount": 57,
      "histogram": [
        {
          "range": "0.0–0.4",
          "count": 0,
          "current": false
        },
        {
          "range": "0.4–0.8",
          "count": 0,
          "current": false
        },
        {
          "range": "0.8–1.2",
          "count": 0,
          "current": false
        },
        {
          "range": "1.2–1.6",
          "count": 0,
          "current": false
        },
        {
          "range": "1.6–2.0",
          "count": 0,
          "current": false
        },
        {
          "range": "2.0–2.4",
          "count": 0,
          "current": false
        },
        {
          "range": "2.4–2.8",
          "count": 0,
          "current": false
        },
        {
          "range": "2.8–3.2",
          "count": 6,
          "current": true
        },
        {
          "range": "3.2–3.6",
          "count": 18,
          "current": false
        },
        {
          "range": "3.6–4.0",
          "count": 3,
          "current": false
        }
      ]
    }
  }
]
```

#### 1192

##### term

1192

##### gpa

3.335526315789474

##### count

152

##### university

###### size

1077

###### gpa Percentile

33

###### count Percentile

82

###### 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 | 22    | false   |
| 2.8–3.2 | 203   | false   |
| 3.2–3.6 | 370   | true    |
| 3.6–4.0 | 481   | false   |

##### departments

```json
[
  {
    "subject": "POLISCI",
    "comparison": {
      "size": 24,
      "gpaPercentile": 57,
      "countPercentile": 87,
      "medianCount": 71.5,
      "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": 7,
          "current": false
        },
        {
          "range": "3.2–3.6",
          "count": 12,
          "current": true
        },
        {
          "range": "3.6–4.0",
          "count": 5,
          "current": false
        }
      ]
    }
  }
]
```

#### 1202

##### term

1202

##### gpa

3.325268817204301

##### count

186

##### university

###### size

1102

###### gpa Percentile

31

###### count Percentile

87

###### 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 | 14    | false   |
| 2.8–3.2 | 218   | false   |
| 3.2–3.6 | 371   | true    |
| 3.6–4.0 | 498   | false   |

##### departments

```json
[
  {
    "subject": "POLISCI",
    "comparison": {
      "size": 26,
      "gpaPercentile": 32,
      "countPercentile": 88,
      "medianCount": 62,
      "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": 12,
          "current": true
        },
        {
          "range": "3.6–4.0",
          "count": 9,
          "current": false
        }
      ]
    }
  }
]
```

#### 1212

##### term

1212

##### gpa

3.3876146788990824

##### count

218

##### university

###### size

1111

###### gpa Percentile

26

###### count Percentile

89

###### median Count

68

###### histogram

| range   | count | current |
| ------- | ----- | ------- |
| 0.0–0.4 | 0     | false   |
| 0.4–0.8 | 0     | false   |
| 0.8–1.2 | 0     | false   |
| 1.2–1.6 | 0     | false   |
| 1.6–2.0 | 0     | false   |
| 2.0–2.4 | 0     | false   |
| 2.4–2.8 | 4     | false   |
| 2.8–3.2 | 159   | false   |
| 3.2–3.6 | 337   | true    |
| 3.6–4.0 | 611   | false   |

##### departments

```json
[
  {
    "subject": "POLISCI",
    "comparison": {
      "size": 29,
      "gpaPercentile": 29,
      "countPercentile": 93,
      "medianCount": 73,
      "histogram": [
        {
          "range": "0.0–0.4",
          "count": 0,
          "current": false
        },
        {
          "range": "0.4–0.8",
          "count": 0,
          "current": false
        },
        {
          "range": "0.8–1.2",
          "count": 0,
          "current": false
        },
        {
          "range": "1.2–1.6",
          "count": 0,
          "current": false
        },
        {
          "range": "1.6–2.0",
          "count": 0,
          "current": false
        },
        {
          "range": "2.0–2.4",
          "count": 0,
          "current": false
        },
        {
          "range": "2.4–2.8",
          "count": 0,
          "current": false
        },
        {
          "range": "2.8–3.2",
          "count": 1,
          "current": false
        },
        {
          "range": "3.2–3.6",
          "count": 14,
          "current": true
        },
        {
          "range": "3.6–4.0",
          "count": 14,
          "current": false
        }
      ]
    }
  }
]
```

#### 1252

##### term

1252

##### gpa

3.056122448979592

##### count

98

##### university

###### size

1333

###### gpa Percentile

5

###### count Percentile

66

###### 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   | true    |
| 3.2–3.6 | 431   | false   |
| 3.6–4.0 | 773   | false   |

##### departments

```json
[
  {
    "subject": "POLISCI",
    "comparison": {
      "size": 32,
      "gpaPercentile": 0,
      "countPercentile": 71,
      "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": true
        },
        {
          "range": "3.2–3.6",
          "count": 13,
          "current": false
        },
        {
          "range": "3.6–4.0",
          "count": 17,
          "current": false
        }
      ]
    }
  }
]
```

#### 1262

##### term

1262

##### gpa

3.3198529411764706

##### count

136

##### university

###### size

1320

###### gpa Percentile

17

###### count Percentile

77

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

##### departments

```json
[
  {
    "subject": "POLISCI",
    "comparison": {
      "size": 33,
      "gpaPercentile": 9,
      "countPercentile": 81,
      "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": true
        },
        {
          "range": "3.6–4.0",
          "count": 23,
          "current": false
        }
      ]
    }
  }
]
```

### benchmarks

#### all

##### school

###### size

3059

###### gpa

3.6673434987432305

###### top Share

82.35029387834575

###### count

116

##### POLISCI

###### size

71

###### gpa

3.5653085268568017

###### top Share

78.72664726004143

###### count

119

#### terms

##### 1182

###### school

###### size

1025

###### gpa

3.474159360325319

###### top Share

70.34861441764347

###### count

69

###### POLISCI

###### size

27

###### gpa

3.3945516326036986

###### top Share

67.29292509440347

###### count

57

##### 1192

###### school

###### size

1077

###### gpa

3.50327634323125

###### top Share

72.44641925727845

###### count

67

###### POLISCI

###### size

24

###### gpa

3.3877472679471077

###### top Share

66.73340391838997

###### count

71.5

##### 1202

###### school

###### size

1102

###### gpa

3.5102605987403313

###### top Share

72.78244569053733

###### count

68

###### POLISCI

###### size

26

###### gpa

3.4780734884386755

###### top Share

73.10491162594762

###### count

62

##### 1212

###### school

###### size

1111

###### gpa

3.5856416028074487

###### top Share

77.58926748660845

###### count

68

###### POLISCI

###### size

29

###### gpa

3.536672518177847

###### top Share

76.4438470307079

###### count

73

##### 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

##### 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_4763e87370d856ad424f4a1e",
    "name": "ANDREW KYDD",
    "count": 891,
    "terms": [
      {
        "term": "1182",
        "count": 101,
        "sections": 1,
        "gpa": 3.1782178217821784
      },
      {
        "term": "1192",
        "count": 152,
        "sections": 1,
        "gpa": 3.335526315789474
      },
      {
        "term": "1202",
        "count": 186,
        "sections": 1,
        "gpa": 3.325268817204301
      },
      {
        "term": "1212",
        "count": 218,
        "sections": 1,
        "gpa": 3.3876146788990824
      },
      {
        "term": "1252",
        "count": 98,
        "sections": 1,
        "gpa": 3.056122448979592
      },
      {
        "term": "1262",
        "count": 136,
        "sections": 1,
        "gpa": 3.3198529411764706
      }
    ]
  }
]
```

## following

None recorded.
