# POLISCI/PUBAFFR 871: Public Program Evaluation | UW–Madison

[View on UW Courses](https://uwcourses.com/courses/POLISCI_PUBAFFR_871)

## Dataset

### revision

e243353dcb7d79b7247ced91d69443ef4c2a6349

### repository

twangodev/uwcourses

### schema version

6

### importer version

7

### projection id

52a78527ff09011d88cb04c7d43867d9fbfec2930bf1dd2ec359ebd2844e0b07

### observed at

2026-09-07T15:55:43.033547+00:00

### built at

2026-09-10T19:50:42.743001+00:00

### courses

8951

### current instructors

5754

### limited

false

### terms

* 1272
* 1264
* 1262
* 1254
* 1252
* 1244
* 1242
* 1234
* 1232
* 1224
* 1222
* 1212
* 1204
* 1202
* 1194
* 1192
* 1184
* 1182
* 1174
* 1172
* 1164
* 1162
* 1154
* 1152
* 1144
* 1142
* 1134
* 1132
* 1124
* 1122
* 1114
* 1112
* 1104
* 1102
* 1094
* 1092
* 1084
* 1082
* 1074
* 1072

### term

1272

### departments

| subject   | count |
| --------- | ----- |
| AAE       | 90    |
| ABT       | 20    |
| ACCTIS    | 36    |
| ACTSCI    | 14    |
| AFAERO    | 10    |
| AFRICAN   | 87    |
| AFROAMER  | 71    |
| AGROECOL  | 21    |
| AMERIND   | 53    |
| ANAT\&PHY | 7     |
| ANATOMY   | 2     |
| ANESTHES  | 8     |
| ANSCI     | 57    |
| ANTHRO    | 95    |
| ART       | 125   |
| ARTED     | 10    |
| ARTHIST   | 121   |
| ASIALANG  | 129   |
| ASIAN     | 109   |
| ASIANAM   | 28    |
| ASTRON    | 38    |
| ATMOCN    | 69    |
| BIOCHEM   | 51    |
| BIOCORE   | 10    |
| BIOLOGY   | 14    |
| BIOMDSCI  | 18    |
| BME       | 66    |
| BMI       | 41    |
| BMOLCHEM  | 10    |
| BOTANY    | 69    |
| BSE       | 44    |
| C\&ESOC   | 73    |
| CBE       | 48    |
| CHEM      | 101   |
| CHICLA    | 52    |
| CIVENGR   | 133   |
| CLASSICS  | 47    |
| CNP       | 10    |
| CNSRSCI   | 50    |
| COMARTS   | 137   |
| COMPBIO   | 15    |
| COMPLIT   | 11    |
| COMPSCI   | 138   |
| COUNPSY   | 78    |
| CRB       | 19    |
| CS\&D     | 71    |
| CSCS      | 40    |
| CURRIC    | 193   |
| DANCE     | 93    |
| DERM      | 8     |
| DS        | 88    |
| DYSCI     | 35    |
| ECE       | 155   |
| ECON      | 145   |
| EDPOL     | 114   |
| EDPSYCH   | 97    |
| ELPA      | 70    |
| EMA       | 53    |
| EMERMED   | 17    |
| ENGL      | 206   |
| ENTOM     | 40    |
| ENVIRST   | 148   |
| EP        | 15    |
| EPD       | 67    |
| ESL       | 16    |
| F\&WECOL  | 60    |
| FAMMED    | 22    |
| FINANCE   | 50    |
| FOLKLORE  | 40    |
| FOODSCI   | 43    |
| FRENCH    | 63    |
| GEN\&WS   | 145   |
| GENBUS    | 72    |
| GENECSLR  | 17    |
| GENETICS  | 60    |
| GEOG      | 113   |
| GEOSCI    | 83    |
| GERMAN    | 82    |
| GLE       | 48    |
| GNS       | 38    |
| GREEK     | 27    |
| HDFS      | 41    |
| HEBR-BIB  | 13    |
| HEBR-MOD  | 10    |
| HISTORY   | 233   |
| HISTSCI   | 56    |
| HONCOL    | 13    |
| ILS       | 43    |
| INFOSYS   | 9     |
| INTEGART  | 7     |
| INTEGSCI  | 22    |
| INTER-AG  | 18    |
| INTER-HE  | 11    |
| INTER-LS  | 22    |
| INTEREGR  | 16    |
| INTLBUS   | 21    |
| INTLST    | 50    |
| ISYE      | 83    |
| ITALIAN   | 53    |
| JEWISH    | 56    |
| JOURN     | 88    |
| KINES     | 128   |
| LACIS     | 26    |
| LANDARC   | 61    |
| LATIN     | 24    |
| LAW       | 120   |
| LEGALST   | 48    |
| LINGUIS   | 35    |
| LIS       | 89    |
| LITTRANS  | 78    |
| LSC       | 52    |
| M\&ENVTOX | 7     |
| MARKETNG  | 62    |
| MATH      | 153   |
| MDGENET   | 8     |
| ME        | 130   |
| MEDHIST   | 43    |
| MEDICINE  | 60    |
| MEDIEVAL  | 32    |
| MEDPHYS   | 39    |
| MEDSC-M   | 29    |
| MEDSC-V   | 41    |
| MHR       | 68    |
| MICROBIO  | 45    |
| MILSCI    | 16    |
| MM\&I     | 22    |
| MOLBIOL   | 6     |
| MS\&E     | 59    |
| MUSIC     | 165   |
| MUSPERF   | 126   |
| NAVSCI    | 20    |
| NE        | 44    |
| NEURODPT  | 11    |
| NEUROL    | 7     |
| NEURSURG  | 4     |
| NTP       | 11    |
| NURSING   | 111   |
| NUTRSCI   | 65    |
| OBS\&GYN  | 18    |
| OCCTHER   | 39    |
| ONCOLOGY  | 14    |
| OPHTHALM  | 5     |
| OTM       | 43    |
| PATH      | 34    |
| PATH-BIO  | 29    |
| PEDIAT    | 26    |
| PHARMACY  | 31    |
| PHILOS    | 77    |
| PHMCOL-M  | 11    |
| PHMPRAC   | 45    |
| PHMSCI    | 60    |
| PHYASST   | 37    |
| PHYSICS   | 88    |
| PHYSIOL   | 3     |
| PHYTHER   | 37    |
| PLANTSCI  | 52    |
| PLPATH    | 35    |
| POLISCI   | 192   |
| POPHLTH   | 58    |
| PORTUG    | 33    |
| PSYCH     | 101   |
| PSYCHIAT  | 22    |
| PUBAFFR   | 54    |
| PUBLHLTH  | 23    |
| RADIOL    | 11    |
| REALEST   | 41    |
| RELIGST   | 90    |
| RHABMED   | 9     |
| RMI       | 24    |
| RP\&SE    | 102   |
| S\&APHM   | 17    |
| SCANDST   | 73    |
| SLAVIC    | 89    |
| SOC       | 149   |
| SOCWORK   | 87    |
| SOILSCI   | 46    |
| SPANISH   | 83    |
| SRMED     | 21    |
| STAT      | 94    |
| STDYABRD  | 52    |
| STS       | 8     |
| SURGERY   | 25    |
| SURGSCI   | 33    |
| THEATRE   | 91    |
| URBRPL    | 60    |
| UROLOGY   | 5     |
| ZOOLOGY   | 89    |

## course

### run id

20260907T155543-ce3781c4

### semester

1272

### observed at

2026-09-07 15:55:43.033547+00:00

### record version id

251b49a77f86249460875982b836a80c18cc6da7cc3a9adf8505acf765c68af2

### course id

POLISCI/PUBAFFR 871

### course uid

course\_76d5da39b1003931f39539a7

### catalog version id

b02746135da1dfca3706d29fdc09b5ed09a0ed8036b15236534581c2277faa60

### course number

871

### subjects

* POLISCI
* PUBAFFR

### title

PUBLIC PROGRAM EVALUATION

### description

Compares the conceptual, statistical, and ethical issues of experimental, quasi-experimental and non-experimental designs for program evaluation. Definitions of outcomes, sample size issues, statistical biases in measuring causal effects of programs, and the reliability of findings will be emphasized using case studies selected from current public programs.

### requirements text

PUB AFFR 818

### credits min

3

### credits max

3

### credit offering ids

* 1272:778:016590
* 1272:826:016590

### llm job id

enrich-8b774950c2b6adfdc46d1b82

### llm output id

eca0ee3ea85bc7996426e6f69795d0eaa96e3b4c8281304234bbfd5b77a1d0ac

### llm model

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

### llm model revision

1355db6a052410cfd62085d94b58866fd0f2c3c5

### llm task version

14

### llm search status

valid

### llm summary

PUBLIC PROGRAM EVALUATION compares conceptual, statistical, and ethical issues across experimental, quasi-experimental, and non-experimental program evaluation designs.

### llm topics

* Program evaluation research designs.
* Statistical biases in causal effect measurement.
* Reliability of program evaluation findings.
* Case studies from current public programs.

### llm skills

* Comparing experimental, quasi-experimental, and non-experimental research designs.
* Defining outcomes, managing sample size, and identifying statistical biases in causal measurement.

### llm assumed background

* Foundational statistical methods and quantitative analysis for public policy.

### llm search phrases

* program evaluation statistical methods
* experimental design public policy
* causal effects measurement
* public affairs research methods

### llm requirements status

valid

### llm student summary status

valid

### llm experience status

insufficient\_evidence

### catalog variants

None recorded.

### student summary

#### context hash

6eeca09cfb1f7e66e4078525d2bad070c174d6ad80aadaa61234068ddba6147b

#### course id

POLISCI/PUBAFFR 871

#### current instructors

```json
[
  {
    "instructor_uid": "instructor_6e06ae39fae8244d56297868",
    "message": "No course-specific reviews available",
    "name": "Yang Wang",
    "review_status": "no_course_reviews",
    "rmp_instructor_id": "rmp:2772141",
    "summary": [
      {
        "citations": [
          {
            "course_id": "POLISCI/PUBAFFR 871",
            "run_id": "20260907T155543-ce3781c4",
            "section_number": 1,
            "source_course_id": "66f9e4fc-e0db-3908-8844-837c21634909",
            "source_record": {
              "entity_id": "66f9e4fc-e0db-3908-8844-837c21634909",
              "file": "tables/observations.parquet",
              "kind": "grades",
              "source": "madgrades"
            },
            "table": "section_grades_latest",
            "term_id": "1202",
            "type": "grade"
          },
          {
            "course_id": "POLISCI/PUBAFFR 871",
            "run_id": "20260907T155543-ce3781c4",
            "section_number": 1,
            "source_course_id": "66f9e4fc-e0db-3908-8844-837c21634909",
            "source_record": {
              "entity_id": "66f9e4fc-e0db-3908-8844-837c21634909",
              "file": "tables/observations.parquet",
              "kind": "grades",
              "source": "madgrades"
            },
            "table": "section_grades_latest",
            "term_id": "1212",
            "type": "grade"
          },
          {
            "course_id": "POLISCI/PUBAFFR 871",
            "run_id": "20260907T155543-ce3781c4",
            "section_number": 1,
            "source_course_id": "66f9e4fc-e0db-3908-8844-837c21634909",
            "source_record": {
              "entity_id": "66f9e4fc-e0db-3908-8844-837c21634909",
              "file": "tables/observations.parquet",
              "kind": "grades",
              "source": "madgrades"
            },
            "table": "section_grades_latest",
            "term_id": "1222",
            "type": "grade"
          }
        ],
        "text": "Recent recorded grades — Fall 2019: 3.96 GPA, 100.0% A/AB (n=23 letter grades); Fall 2020: 4.00 GPA, 100.0% A/AB (n=18 letter grades); Fall 2021: 3.89 GPA, 100.0% A/AB (n=19 letter grades)."
      }
    ]
  }
]
```

#### difficulty workload

None recorded.

#### errors

None recorded.

#### historical context

None recorded.

#### message

No course-specific reviews available

#### offered

true

#### profile hash

5cb4dabf887cdbcd8c00d5a1312e10828b95c63f30bc3ea76aea199565390d02

#### quick take

Recent recorded grades — Fall 2023: 3.56 GPA, 77.8% A/AB (n=9 letter grades); Fall 2024: 3.97 GPA, 100.0% A/AB (n=18 letter grades); Fall 2025: 3.65 GPA, 100.0% A/AB (n=13 letter grades).

```json
{
  "citations": [
    {
      "course_id": "POLISCI/PUBAFFR 871",
      "run_id": "20260907T155543-ce3781c4",
      "source_record": {
        "entity_id": "66f9e4fc-e0db-3908-8844-837c21634909",
        "file": "tables/observations.parquet",
        "kind": "grades",
        "source": "madgrades"
      },
      "table": "grades_latest",
      "term_id": "1242",
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    {
      "course_id": "POLISCI/PUBAFFR 871",
      "run_id": "20260907T155543-ce3781c4",
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        "entity_id": "66f9e4fc-e0db-3908-8844-837c21634909",
        "file": "tables/observations.parquet",
        "kind": "grades",
        "source": "madgrades"
      },
      "table": "grades_latest",
      "term_id": "1252",
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    },
    {
      "course_id": "POLISCI/PUBAFFR 871",
      "run_id": "20260907T155543-ce3781c4",
      "source_record": {
        "entity_id": "66f9e4fc-e0db-3908-8844-837c21634909",
        "file": "tables/observations.parquet",
        "kind": "grades",
        "source": "madgrades"
      },
      "table": "grades_latest",
      "term_id": "1262",
      "type": "grade"
    }
  ]
}
```

#### student experience

None recorded.

#### task hash

74fb0997943e888960bbc9e47db8c4fd12e4292d55c20509d8d89db6a9910f68

#### teaching history

YANG WANG is recorded teaching in Fall 2016, Fall 2017, Fall 2018, Fall 2019, Fall 2020, Fall 2021. Recorded history may be incomplete and does not establish a future schedule.

```json
{
  "citations": [
    {
      "course_id": "POLISCI/PUBAFFR 871",
      "run_id": "20260907T155543-ce3781c4",
      "section_number": 1,
      "source_course_id": "66f9e4fc-e0db-3908-8844-837c21634909",
      "source_record": {
        "entity_id": "66f9e4fc-e0db-3908-8844-837c21634909",
        "file": "tables/observations.parquet",
        "kind": "grades",
        "source": "madgrades"
      },
      "table": "section_grades_latest",
      "term_id": "1172",
      "type": "grade"
    },
    {
      "course_id": "POLISCI/PUBAFFR 871",
      "run_id": "20260907T155543-ce3781c4",
      "section_number": 1,
      "source_course_id": "66f9e4fc-e0db-3908-8844-837c21634909",
      "source_record": {
        "entity_id": "66f9e4fc-e0db-3908-8844-837c21634909",
        "file": "tables/observations.parquet",
        "kind": "grades",
        "source": "madgrades"
      },
      "table": "section_grades_latest",
      "term_id": "1182",
      "type": "grade"
    },
    {
      "course_id": "POLISCI/PUBAFFR 871",
      "run_id": "20260907T155543-ce3781c4",
      "section_number": 1,
      "source_course_id": "66f9e4fc-e0db-3908-8844-837c21634909",
      "source_record": {
        "entity_id": "66f9e4fc-e0db-3908-8844-837c21634909",
        "file": "tables/observations.parquet",
        "kind": "grades",
        "source": "madgrades"
      },
      "table": "section_grades_latest",
      "term_id": "1192",
      "type": "grade"
    },
    {
      "course_id": "POLISCI/PUBAFFR 871",
      "run_id": "20260907T155543-ce3781c4",
      "section_number": 1,
      "source_course_id": "66f9e4fc-e0db-3908-8844-837c21634909",
      "source_record": {
        "entity_id": "66f9e4fc-e0db-3908-8844-837c21634909",
        "file": "tables/observations.parquet",
        "kind": "grades",
        "source": "madgrades"
      },
      "table": "section_grades_latest",
      "term_id": "1202",
      "type": "grade"
    },
    {
      "course_id": "POLISCI/PUBAFFR 871",
      "run_id": "20260907T155543-ce3781c4",
      "section_number": 1,
      "source_course_id": "66f9e4fc-e0db-3908-8844-837c21634909",
      "source_record": {
        "entity_id": "66f9e4fc-e0db-3908-8844-837c21634909",
        "file": "tables/observations.parquet",
        "kind": "grades",
        "source": "madgrades"
      },
      "table": "section_grades_latest",
      "term_id": "1212",
      "type": "grade"
    },
    {
      "course_id": "POLISCI/PUBAFFR 871",
      "run_id": "20260907T155543-ce3781c4",
      "section_number": 1,
      "source_course_id": "66f9e4fc-e0db-3908-8844-837c21634909",
      "source_record": {
        "entity_id": "66f9e4fc-e0db-3908-8844-837c21634909",
        "file": "tables/observations.parquet",
        "kind": "grades",
        "source": "madgrades"
      },
      "table": "section_grades_latest",
      "term_id": "1222",
      "type": "grade"
    }
  ]
}
```

#### term id

1272

#### term name

2026 Fall

#### version

2

### requirements

#### nodes

```json
[
  {
    "children": [],
    "condition": null,
    "course": {
      "course_number": 818,
      "minimum_grade": null,
      "subjects": [
        "PUBAFFR"
      ],
      "timing": "prior"
    },
    "evidence": "PUB AFFR 818",
    "id": "n0",
    "kind": "course"
  }
]
```

#### notes

None recorded.

#### root

n0

#### status

parsed

### instructors

```json
[
  {
    "instructor_uid": "instructor_6e06ae39fae8244d56297868",
    "source": "enrollment",
    "source_instructor_id": "ywang26",
    "identity_basis": "netid",
    "identity_status": "source_identified",
    "name": "Yang Wang",
    "email": "YANG.WANG@LAFOLLETTE.WISC.EDU",
    "first_observed_at": "2026-09-07 15:55:43.033547+00:00",
    "last_observed_at": "2026-09-07 15:55:43.033547+00:00",
    "ratings": {
      "review_count": 2,
      "quality": 2.5,
      "difficulty": 1.5,
      "quality_count": 2,
      "difficulty_count": 2,
      "profile_id": "rmp:2772141",
      "source_url": "https://www.ratemyprofessors.com/professor/2772141",
      "match_basis": "exact_name",
      "observed_at": "2026-09-07 15:58:08.628898+00:00",
      "courses": {},
      "bayesian_quality": 3.5542598032241774,
      "prior_mean": 3.6596857835465957,
      "prior_weight": 20
    },
    "instructor_url": "/instructors/YANG_WANG"
  }
]
```

### offerings

```json
[
  {
    "run_id": "20260907T155543-ce3781c4",
    "semester": "1272",
    "observed_at": "2026-09-07 15:55:43.033547+00:00",
    "offering_id": "1272:778:016590",
    "course_id": "POLISCI/PUBAFFR 871",
    "course_uid": "course_76d5da39b1003931f39539a7",
    "term_id": "1272",
    "source_course_id": "016590",
    "source_subject_id": "778",
    "title": "Public Program Evaluation",
    "credits_min": 3,
    "credits_max": 3,
    "typically_offered": "Occasionally"
  },
  {
    "run_id": "20260907T155543-ce3781c4",
    "semester": "1272",
    "observed_at": "2026-09-07 15:55:43.033547+00:00",
    "offering_id": "1272:826:016590",
    "course_id": "POLISCI/PUBAFFR 871",
    "course_uid": "course_76d5da39b1003931f39539a7",
    "term_id": "1272",
    "source_course_id": "016590",
    "source_subject_id": "826",
    "title": "Public Program Evaluation",
    "credits_min": 3,
    "credits_max": 3,
    "typically_offered": "Occasionally"
  }
]
```

### sections

```json
[
  {
    "run_id": "20260907T155543-ce3781c4",
    "observed_at": "2026-09-07 15:55:43.033547+00:00",
    "section_uid": "uw-section:1272:16470",
    "term_id": "1272",
    "source_section_id": "16470",
    "identity_basis": "class_number",
    "section_number": "001",
    "section_type": "SEM",
    "instruction_mode": "Classroom Instruction",
    "capacity": 0,
    "enrolled": 0,
    "waitlisted": 0,
    "start_date": "2026-09-02 05:00:00+00:00",
    "end_date": "2026-12-09 06:00:00+00:00"
  },
  {
    "run_id": "20260907T155543-ce3781c4",
    "observed_at": "2026-09-07 15:55:43.033547+00:00",
    "section_uid": "uw-section:1272:16469",
    "term_id": "1272",
    "source_section_id": "16469",
    "identity_basis": "class_number",
    "section_number": "001",
    "section_type": "SEM",
    "instruction_mode": "Classroom Instruction",
    "capacity": 27,
    "enrolled": 16,
    "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_2ca73acaf4da4b8998706583",
    "source": "madgrades",
    "source_instructor_id": "3467123",
    "identity_basis": "source_id",
    "identity_status": "source_identified",
    "name": "MICHAEL ANDREW MALCOLM",
    "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": 3.348,
      "graded": 56,
      "counts": [
        15,
        15,
        21,
        4,
        1,
        0,
        0
      ],
      "sections": 2
    },
    "instructor_url": "/instructors/MICHAEL_ANDREW_MALCOLM"
  },
  {
    "instructor_uid": "instructor_5f54e2797fb69a59b9bd4a47",
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```

### grades

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    "instructors": [
      "Mariel Barnes"
    ],
    "a": 3,
    "ab": 4,
    "b": 2,
    "bc": 0,
    "c": 0,
    "d": 0,
    "f": 0,
    "satisfactory": 1,
    "unsatisfactory": 0,
    "credit": 0,
    "no_credit": 0,
    "passed": 0,
    "incomplete": 0,
    "no_work": 0,
    "not_reported": 0,
    "other": 0,
    "total": 10,
    "source_aliases": [
      "POLISCI/PUBAFFR 871"
    ]
  },
  {
    "run_id": "20260907T155543-ce3781c4",
    "semester": "1272",
    "observed_at": "2026-09-07 15:55:43.033547+00:00",
    "course_id": "POLISCI/PUBAFFR 871",
    "course_uid": "course_76d5da39b1003931f39539a7",
    "term_id": "1252",
    "term_name": "Fall 2024",
    "instructors": [
      "Lauren Schmitz"
    ],
    "a": 17,
    "ab": 1,
    "b": 0,
    "bc": 0,
    "c": 0,
    "d": 0,
    "f": 0,
    "satisfactory": 0,
    "unsatisfactory": 0,
    "credit": 0,
    "no_credit": 0,
    "passed": 0,
    "incomplete": 0,
    "no_work": 0,
    "not_reported": 0,
    "other": 0,
    "total": 18,
    "source_aliases": [
      "POLISCI/PUBAFFR 871"
    ]
  },
  {
    "run_id": "20260907T155543-ce3781c4",
    "semester": "1272",
    "observed_at": "2026-09-07 15:55:43.033547+00:00",
    "course_id": "POLISCI/PUBAFFR 871",
    "course_uid": "course_76d5da39b1003931f39539a7",
    "term_id": "1262",
    "term_name": "Fall 2025",
    "instructors": [
      "Mariel Barnes"
    ],
    "a": 4,
    "ab": 9,
    "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": 13,
    "source_aliases": [
      "POLISCI/PUBAFFR 871"
    ]
  }
]
```

### statistics

#### gpa

3.812

#### graded

382

#### counts

* 253
* 116
* 12
* 0
* 1
* 0
* 0

### grade conflicts

None recorded.

### evidence

#### history

* [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course\_76d5da39b1003931f39539a7-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course_76d5da39b1003931f39539a7-0.json)

#### traces

* [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course\_76d5da39b1003931f39539a7-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course_76d5da39b1003931f39539a7-0.json)

#### meetings

* [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/meetings/course\_76d5da39b1003931f39539a7-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/meetings/course_76d5da39b1003931f39539a7-0.json)

#### results

* [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course\_76d5da39b1003931f39539a7-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course_76d5da39b1003931f39539a7-0.json)

### revision

e243353dcb7d79b7247ced91d69443ef4c2a6349

## context

### all

#### term



#### gpa

3.81151832460733

#### count

382

#### university

##### size

4267

##### gpa Percentile

64

##### count Percentile

70

##### median Count

176

##### 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 | 17    | false   |
| 2.8–3.2 | 354   | false   |
| 3.2–3.6 | 1247  | false   |
| 3.6–4.0 | 2649  | true    |

#### departments

```json
[
  {
    "subject": "POLISCI",
    "comparison": {
      "size": 110,
      "gpaPercentile": 85,
      "countPercentile": 75,
      "medianCount": 150.5,
      "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": 9,
          "current": false
        },
        {
          "range": "3.2–3.6",
          "count": 50,
          "current": false
        },
        {
          "range": "3.6–4.0",
          "count": 50,
          "current": true
        }
      ]
    }
  },
  {
    "subject": "PUBAFFR",
    "comparison": {
      "size": 31,
      "gpaPercentile": 80,
      "countPercentile": 77,
      "medianCount": 118,
      "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": 13,
          "current": false
        },
        {
          "range": "3.6–4.0",
          "count": 18,
          "current": true
        }
      ]
    }
  }
]
```

### terms

#### 1074

##### term

1074

##### gpa

3.625

##### count

20

##### departments

| subject | comparison |
| ------- | ---------- |
| POLISCI |            |
| PUBAFFR |            |

#### 1082

##### term

1082

##### gpa

3.730769230769231

##### count

13

##### departments

| subject | comparison |
| ------- | ---------- |
| POLISCI |            |
| PUBAFFR |            |

#### 1092

##### term

1092

##### gpa

3.642857142857143

##### count

14

##### departments

| subject | comparison |
| ------- | ---------- |
| POLISCI |            |
| PUBAFFR |            |

#### 1112

##### term

1112

##### gpa

3.8448275862068964

##### count

29

##### departments

| subject | comparison |
| ------- | ---------- |
| POLISCI |            |
| PUBAFFR |            |

#### 1122

##### term

1122

##### gpa

3.640625

##### count

32

##### university

###### size

804

###### gpa Percentile

73

###### count Percentile

4

###### median Count

70

###### histogram

| range   | count | current |
| ------- | ----- | ------- |
| 0.0–0.4 | 0     | false   |
| 0.4–0.8 | 0     | false   |
| 0.8–1.2 | 0     | false   |
| 1.2–1.6 | 0     | false   |
| 1.6–2.0 | 0     | false   |
| 2.0–2.4 | 3     | false   |
| 2.4–2.8 | 47    | false   |
| 2.8–3.2 | 224   | false   |
| 3.2–3.6 | 282   | false   |
| 3.6–4.0 | 248   | true    |

##### departments

```json
[
  {
    "subject": "POLISCI",
    "comparison": {
      "size": 14,
      "gpaPercentile": 100,
      "countPercentile": 0,
      "medianCount": 94.5,
      "histogram": [
        {
          "range": "0.0–0.4",
          "count": 0,
          "current": false
        },
        {
          "range": "0.4–0.8",
          "count": 0,
          "current": false
        },
        {
          "range": "0.8–1.2",
          "count": 0,
          "current": false
        },
        {
          "range": "1.2–1.6",
          "count": 0,
          "current": false
        },
        {
          "range": "1.6–2.0",
          "count": 0,
          "current": false
        },
        {
          "range": "2.0–2.4",
          "count": 0,
          "current": false
        },
        {
          "range": "2.4–2.8",
          "count": 0,
          "current": false
        },
        {
          "range": "2.8–3.2",
          "count": 8,
          "current": false
        },
        {
          "range": "3.2–3.6",
          "count": 5,
          "current": false
        },
        {
          "range": "3.6–4.0",
          "count": 1,
          "current": true
        }
      ]
    }
  },
  {
    "subject": "PUBAFFR",
    "comparison": null
  }
]
```

#### 1132

##### term

1132

##### gpa

3.7333333333333334

##### count

15

##### departments

| subject | comparison |
| ------- | ---------- |
| POLISCI |            |
| PUBAFFR |            |

#### 1142

##### term

1142

##### gpa

3.8

##### count

25

##### departments

| subject | comparison |
| ------- | ---------- |
| POLISCI |            |
| PUBAFFR |            |

#### 1152

##### term

1152

##### gpa

3.7037037037037037

##### count

27

##### departments

| subject | comparison |
| ------- | ---------- |
| POLISCI |            |
| PUBAFFR |            |

#### 1162

##### term

1162

##### gpa

3.847826086956522

##### count

23

##### departments

| subject | comparison |
| ------- | ---------- |
| POLISCI |            |
| PUBAFFR |            |

#### 1172

##### term

1172

##### gpa

3.8947368421052633

##### count

19

##### departments

| subject | comparison |
| ------- | ---------- |
| POLISCI |            |
| PUBAFFR |            |

#### 1182

##### term

1182

##### gpa

3.8260869565217392

##### count

23

##### departments

| subject | comparison |
| ------- | ---------- |
| POLISCI |            |
| PUBAFFR |            |

#### 1192

##### term

1192

##### gpa

3.9583333333333335

##### count

24

##### departments

| subject | comparison |
| ------- | ---------- |
| POLISCI |            |
| PUBAFFR |            |

#### 1202

##### term

1202

##### gpa

3.9565217391304346

##### count

23

##### departments

| subject | comparison |
| ------- | ---------- |
| POLISCI |            |
| PUBAFFR |            |

#### 1212

##### term

1212

##### gpa

4

##### count

18

##### departments

| subject | comparison |
| ------- | ---------- |
| POLISCI |            |
| PUBAFFR |            |

#### 1222

##### term

1222

##### gpa

3.8947368421052633

##### count

19

##### departments

| subject | comparison |
| ------- | ---------- |
| POLISCI |            |
| PUBAFFR |            |

#### 1232

##### term

1232

##### gpa

3.9722222222222223

##### count

18

##### departments

| subject | comparison |
| ------- | ---------- |
| POLISCI |            |
| PUBAFFR |            |

#### 1242

##### term

1242

##### gpa

3.5555555555555554

##### count

9

##### departments

| subject | comparison |
| ------- | ---------- |
| POLISCI |            |
| PUBAFFR |            |

#### 1252

##### term

1252

##### gpa

3.9722222222222223

##### count

18

##### departments

| subject | comparison |
| ------- | ---------- |
| POLISCI |            |
| PUBAFFR |            |

#### 1262

##### term

1262

##### gpa

3.6538461538461537

##### count

13

##### departments

| subject | comparison |
| ------- | ---------- |
| POLISCI |            |
| PUBAFFR |            |

### benchmarks

#### all

##### school

###### size

4267

###### gpa

3.6471432635527155

###### top Share

81.04160876247914

###### count

176

##### POLISCI

###### size

110

###### gpa

3.542292897876182

###### top Share

77.39326390784458

###### count

150.5

##### PUBAFFR

###### size

31

###### gpa

3.6557822788038146

###### top Share

83.28095828649137

###### count

118

#### terms

##### 1074

###### school

###### size

695

###### gpa

3.3616924722887376

###### top Share

63.22509110105764

###### count

69

###### POLISCI

###### size

14

###### gpa

3.268596258997659

###### top Share

60.70808904525222

###### count

98

##### 1082

###### school

###### size

723

###### gpa

3.3583896732335172

###### top Share

62.932746798940194

###### count

68

###### POLISCI

###### size

11

###### gpa

3.146214959311787

###### top Share

50.7809183516562

###### count

102

##### 1092

###### school

###### size

732

###### gpa

3.374660709520374

###### top Share

63.690339324346596

###### count

70

###### POLISCI

###### size

11

###### gpa

3.1594093862343957

###### top Share

49.96467915938485

###### count

95

##### 1112

###### school

###### size

805

###### gpa

3.3737773184830386

###### top Share

63.91039244872789

###### count

66

###### POLISCI

###### size

13

###### gpa

3.1364699536892355

###### top Share

50.62364583449737

###### count

80

##### 1122

###### school

###### size

804

###### gpa

3.3737149752667013

###### top Share

63.65118790117902

###### count

70

###### POLISCI

###### size

14

###### gpa

3.2185323922052858

###### top Share

55.38573023617504

###### count

94.5

##### 1132

###### school

###### size

851

###### gpa

3.391128778809763

###### top Share

64.69509437122704

###### count

66

###### POLISCI

###### size

15

###### gpa

3.182300079741595

###### top Share

52.46119703858788

###### count

70

##### 1142

###### school

###### size

853

###### gpa

3.3941849959684913

###### top Share

65.28450334228523

###### count

67

###### POLISCI

###### size

14

###### gpa

3.2576110896081407

###### top Share

56.95368098781108

###### count

59.5

##### 1152

###### school

###### size

918

###### gpa

3.408733538594633

###### top Share

66.06693005846735

###### count

65

###### POLISCI

###### size

14

###### gpa

3.301197196812184

###### top Share

61.93891738722217

###### count

72.5

##### 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

##### 1172

###### school

###### size

991

###### gpa

3.465129042641772

###### top Share

69.42600667567366

###### count

67

###### POLISCI

###### size

14

###### gpa

3.3267512689228935

###### top Share

63.863048828219576

###### count

57.5

##### 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

##### 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

##### 1232

###### school

###### size

1216

###### gpa

3.575457431972425

###### top Share

77.33712216234007

###### count

66

###### POLISCI

###### size

33

###### gpa

3.5166781206385624

###### top Share

75.8351096221922

###### count

55

###### PUBAFFR

###### size

10

###### gpa

3.6559302930529958

###### top Share

84.00572242546237

###### count

43

##### 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

##### 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_933496e75ff063cef51932cb",
    "name": "YANG WANG",
    "count": 126,
    "terms": [
      {
        "term": "1172",
        "count": 19,
        "sections": 1,
        "gpa": 3.8947368421052633
      },
      {
        "term": "1182",
        "count": 23,
        "sections": 1,
        "gpa": 3.8260869565217392
      },
      {
        "term": "1192",
        "count": 24,
        "sections": 1,
        "gpa": 3.9583333333333335
      },
      {
        "term": "1202",
        "count": 23,
        "sections": 1,
        "gpa": 3.9565217391304346
      },
      {
        "term": "1212",
        "count": 18,
        "sections": 1,
        "gpa": 4
      },
      {
        "term": "1222",
        "count": 19,
        "sections": 1,
        "gpa": 3.8947368421052633
      }
    ]
  },
  {
    "uid": "instructor_8af63f5023013d9bd4cec4a0",
    "name": "HILARY SHAGER",
    "count": 90,
    "terms": [
      {
        "term": "1132",
        "count": 15,
        "sections": 1,
        "gpa": 3.7333333333333334
      },
      {
        "term": "1142",
        "count": 25,
        "sections": 1,
        "gpa": 3.8
      },
      {
        "term": "1152",
        "count": 27,
        "sections": 1,
        "gpa": 3.7037037037037037
      },
      {
        "term": "1162",
        "count": 23,
        "sections": 1,
        "gpa": 3.847826086956522
      }
    ]
  },
  {
    "uid": "instructor_5f54e2797fb69a59b9bd4a47",
    "name": "KAREN CLEO ANDERSON HOLDEN",
    "count": 59,
    "terms": [
      {
        "term": "1082",
        "count": 13,
        "sections": 1,
        "gpa": 3.730769230769231
      },
      {
        "term": "1092",
        "count": 14,
        "sections": 1,
        "gpa": 3.642857142857143
      },
      {
        "term": "1122",
        "count": 32,
        "sections": 1,
        "gpa": 3.640625
      }
    ]
  },
  {
    "uid": "instructor_24df997110ff2cbdeaba34b6",
    "name": "LAUREN SCHMITZ",
    "count": 36,
    "terms": [
      {
        "term": "1232",
        "count": 18,
        "sections": 1,
        "gpa": 3.9722222222222223
      },
      {
        "term": "1252",
        "count": 18,
        "sections": 1,
        "gpa": 3.9722222222222223
      }
    ]
  },
  {
    "uid": "instructor_071e3880401b22c60b3370ff",
    "name": "CAROLYN HEINRICH",
    "count": 29,
    "terms": [
      {
        "term": "1112",
        "count": 29,
        "sections": 1,
        "gpa": 3.8448275862068964
      }
    ]
  },
  {
    "uid": "instructor_a9ed9ab4c97245e616dfd668",
    "name": "MARIEL BARNES",
    "count": 22,
    "terms": [
      {
        "term": "1242",
        "count": 9,
        "sections": 1,
        "gpa": 3.5555555555555554
      },
      {
        "term": "1262",
        "count": 13,
        "sections": 1,
        "gpa": 3.6538461538461537
      }
    ]
  },
  {
    "uid": "instructor_2ca73acaf4da4b8998706583",
    "name": "MICHAEL ANDREW MALCOLM",
    "count": 20,
    "terms": [
      {
        "term": "1074",
        "count": 20,
        "sections": 1,
        "gpa": 3.625
      }
    ]
  }
]
```

## following

None recorded.
