# CNSRSCI 579: Consumer Policy Analysis | UW–Madison

[View on UW Courses](https://uwcourses.com/courses/CNSRSCI_579)

## 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

ccb4489bff62bafe1ed6ada350adea4a0beb153a6167f6fa18da7600ac762323

### course id

CNSRSCI 579

### course uid

course\_20e7716682ffbf9e31ed297b

### catalog version id

5fc5c46253707f9d37cbc959d11e5b6e5be0391096ce98cde8722c6e461fd5fc

### course number

579

### subjects

* CNSRSCI

### title

CONSUMER POLICY ANALYSIS

### description

Analysis of consumer policies enacted and proposed at federal, state, and municipal levels; application of economic analysis to consumer laws, public policies and regulations; study of the process of creating and enforcing legislation and impacts on consumers' well-being.

### requirements text

Junior standing

### credits min

3

### credits max

3

### credit offering ids

* 1272:271:004652

### llm job id

enrich-ecd149b6a6e0877fce2f3d1c

### llm output id

fc729401ec623e2b704e7fbea620631fcc3d816aa8191d31d7877e9528d220eb

### llm model

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

### llm model revision

1355db6a052410cfd62085d94b58866fd0f2c3c5

### llm task version

14

### llm search status

valid

### llm summary

CNSRSCI 579: CONSUMER POLICY ANALYSIS analyzes consumer policies and applies economic analysis to laws and regulations.

### llm topics

* Consumer policies at federal, state, and municipal levels
* Consumer laws, public policies, and regulations
* Impacts on consumers' well-being

### llm skills

* Applying economic analysis to consumer laws and regulations
* Studying the process of creating and enforcing legislation

### llm assumed background

None recorded.

### llm search phrases

* consumer policy analysis
* economic analysis consumer laws
* public policy regulations consumers
* legislation enforcement consumer well-being

### llm requirements status

valid

### llm student summary status

valid

### llm experience status

valid

### catalog variants

None recorded.

### student summary

#### context hash

a64ec4b235fa1a9d14ffad56eaa889f230ab21065a4bf3f9b83cd40b491a3d74

#### course id

CNSRSCI 579

#### current instructors

```json
[
  {
    "instructor_uid": "instructor_7a4f0c0e0d09cc5d051998c2",
    "message": "No course-specific reviews available",
    "name": "Gisella Kagy",
    "review_status": "no_course_reviews",
    "rmp_instructor_id": null,
    "summary": [
      {
        "citations": [
          {
            "course_id": "CNSRSCI 579",
            "run_id": "20260907T155543-ce3781c4",
            "section_number": 2,
            "source_course_id": "01accea9-4ccd-3e13-a7a3-874f52ace4c3",
            "source_record": {
              "entity_id": "01accea9-4ccd-3e13-a7a3-874f52ace4c3",
              "file": "tables/observations.parquet",
              "kind": "grades",
              "source": "madgrades"
            },
            "table": "section_grades_latest",
            "term_id": "1244",
            "type": "grade"
          },
          {
            "course_id": "CNSRSCI 579",
            "run_id": "20260907T155543-ce3781c4",
            "section_number": 2,
            "source_course_id": "01accea9-4ccd-3e13-a7a3-874f52ace4c3",
            "source_record": {
              "entity_id": "01accea9-4ccd-3e13-a7a3-874f52ace4c3",
              "file": "tables/observations.parquet",
              "kind": "grades",
              "source": "madgrades"
            },
            "table": "section_grades_latest",
            "term_id": "1254",
            "type": "grade"
          }
        ],
        "text": "Recent recorded grades — Spring 2024: 3.54 GPA, 76.9% A/AB (n=13 letter grades); Spring 2025: 3.72 GPA, 83.3% A/AB (n=18 letter grades)."
      }
    ]
  }
]
```

#### difficulty workload

Historical reviews of Melody Harvey: Reviewers report harsh grading on small assignments and assignments worth significant portions of the grade that were not adequately taught in class.

```json
{
  "citations": [
    {
      "instructor_name": "Melody Harvey",
      "review_date": "2021-12-06 22:35:05 +0000 UTC",
      "review_id": "a1c5128e0321470272b8563e",
      "run_id": "20260907T155543-ce3781c4",
      "source_instructor_id": "rmp:2679424",
      "source_review_id": "UmF0aW5nLTM1Mzg4NjQz",
      "source_url": "https://www.ratemyprofessors.com/professor/2679424",
      "type": "review"
    },
    {
      "instructor_name": "Melody Harvey",
      "review_date": "2021-12-08 22:34:49 +0000 UTC",
      "review_id": "f1745ba9f605c5e5b1b0c30d",
      "run_id": "20260907T155543-ce3781c4",
      "source_instructor_id": "rmp:2679424",
      "source_review_id": "UmF0aW5nLTM1NDI1Nzk4",
      "source_url": "https://www.ratemyprofessors.com/professor/2679424",
      "type": "review"
    }
  ]
}
```

#### errors

None recorded.

#### historical context

Historical reviews for Fenaba Addo and Melody Harvey describe poor engagement and unclear instruction. Addo's lectures were unengaging and failed to clarify key concepts. Harvey was criticized for a monotonous delivery, lack of assignment guidance, and harsh grading on untaught material, leaving students confused and bored.

```json
{
  "citations": [
    {
      "instructor_name": "Fenaba Addo",
      "review_date": "2015-12-15 14:22:33 +0000 UTC",
      "review_id": "6bfd777ac7c12b0bb7babb62",
      "run_id": "20260907T155543-ce3781c4",
      "source_instructor_id": "rmp:2044855",
      "source_review_id": "UmF0aW5nLTI1NzA0OTcx",
      "source_url": "https://www.ratemyprofessors.com/professor/2044855",
      "type": "review"
    },
    {
      "instructor_name": "Melody Harvey",
      "review_date": "2021-12-06 22:35:05 +0000 UTC",
      "review_id": "a1c5128e0321470272b8563e",
      "run_id": "20260907T155543-ce3781c4",
      "source_instructor_id": "rmp:2679424",
      "source_review_id": "UmF0aW5nLTM1Mzg4NjQz",
      "source_url": "https://www.ratemyprofessors.com/professor/2679424",
      "type": "review"
    },
    {
      "instructor_name": "Melody Harvey",
      "review_date": "2021-12-08 22:34:49 +0000 UTC",
      "review_id": "f1745ba9f605c5e5b1b0c30d",
      "run_id": "20260907T155543-ce3781c4",
      "source_instructor_id": "rmp:2679424",
      "source_review_id": "UmF0aW5nLTM1NDI1Nzk4",
      "source_url": "https://www.ratemyprofessors.com/professor/2679424",
      "type": "review"
    }
  ]
}
```

#### offered

true

#### profile hash

e59ddc7389015d0035b68cd195c939d475bf72b959b29cf12eab59b454ccaef1

#### quick take

Historical reviews describe the course as boring and unengaging, with students struggling to grasp key concepts due to unclear instruction and lack of enthusiasm from past instructors.

```json
{
  "citations": [
    {
      "instructor_name": "Fenaba Addo",
      "review_date": "2015-12-15 14:22:33 +0000 UTC",
      "review_id": "6bfd777ac7c12b0bb7babb62",
      "run_id": "20260907T155543-ce3781c4",
      "source_instructor_id": "rmp:2044855",
      "source_review_id": "UmF0aW5nLTI1NzA0OTcx",
      "source_url": "https://www.ratemyprofessors.com/professor/2044855",
      "type": "review"
    },
    {
      "instructor_name": "Melody Harvey",
      "review_date": "2021-12-06 22:35:05 +0000 UTC",
      "review_id": "a1c5128e0321470272b8563e",
      "run_id": "20260907T155543-ce3781c4",
      "source_instructor_id": "rmp:2679424",
      "source_review_id": "UmF0aW5nLTM1Mzg4NjQz",
      "source_url": "https://www.ratemyprofessors.com/professor/2679424",
      "type": "review"
    },
    {
      "instructor_name": "Melody Harvey",
      "review_date": "2021-12-08 22:34:49 +0000 UTC",
      "review_id": "f1745ba9f605c5e5b1b0c30d",
      "run_id": "20260907T155543-ce3781c4",
      "source_instructor_id": "rmp:2679424",
      "source_review_id": "UmF0aW5nLTM1NDI1Nzk4",
      "source_url": "https://www.ratemyprofessors.com/professor/2679424",
      "type": "review"
    }
  ]
}
```

Recent recorded grades — Spring 2024: 3.54 GPA, 76.9% A/AB (n=13 letter grades); Spring 2025: 3.72 GPA, 83.3% A/AB (n=18 letter grades); Spring 2026: 3.06 GPA, 62.5% A/AB (n=8 letter grades).

```json
{
  "citations": [
    {
      "course_id": "CNSRSCI 579",
      "run_id": "20260907T155543-ce3781c4",
      "source_record": {
        "entity_id": "01accea9-4ccd-3e13-a7a3-874f52ace4c3",
        "file": "tables/observations.parquet",
        "kind": "grades",
        "source": "madgrades"
      },
      "table": "grades_latest",
      "term_id": "1244",
      "type": "grade"
    },
    {
      "course_id": "CNSRSCI 579",
      "run_id": "20260907T155543-ce3781c4",
      "source_record": {
        "entity_id": "01accea9-4ccd-3e13-a7a3-874f52ace4c3",
        "file": "tables/observations.parquet",
        "kind": "grades",
        "source": "madgrades"
      },
      "table": "grades_latest",
      "term_id": "1254",
      "type": "grade"
    },
    {
      "course_id": "CNSRSCI 579",
      "run_id": "20260907T155543-ce3781c4",
      "source_record": {
        "entity_id": "01accea9-4ccd-3e13-a7a3-874f52ace4c3",
        "file": "tables/observations.parquet",
        "kind": "grades",
        "source": "madgrades"
      },
      "table": "grades_latest",
      "term_id": "1264",
      "type": "grade"
    }
  ]
}
```

#### student experience

Historical reviews of Fenaba Addo, Melody Harvey: Students found lectures disengaging and unclear, with some reporting that the professor did not respond to emails or provide sufficient instructions for assignments.

```json
{
  "citations": [
    {
      "instructor_name": "Fenaba Addo",
      "review_date": "2015-12-15 14:22:33 +0000 UTC",
      "review_id": "6bfd777ac7c12b0bb7babb62",
      "run_id": "20260907T155543-ce3781c4",
      "source_instructor_id": "rmp:2044855",
      "source_review_id": "UmF0aW5nLTI1NzA0OTcx",
      "source_url": "https://www.ratemyprofessors.com/professor/2044855",
      "type": "review"
    },
    {
      "instructor_name": "Melody Harvey",
      "review_date": "2021-12-06 22:35:05 +0000 UTC",
      "review_id": "a1c5128e0321470272b8563e",
      "run_id": "20260907T155543-ce3781c4",
      "source_instructor_id": "rmp:2679424",
      "source_review_id": "UmF0aW5nLTM1Mzg4NjQz",
      "source_url": "https://www.ratemyprofessors.com/professor/2679424",
      "type": "review"
    },
    {
      "instructor_name": "Melody Harvey",
      "review_date": "2021-12-08 22:34:49 +0000 UTC",
      "review_id": "f1745ba9f605c5e5b1b0c30d",
      "run_id": "20260907T155543-ce3781c4",
      "source_instructor_id": "rmp:2679424",
      "source_review_id": "UmF0aW5nLTM1NDI1Nzk4",
      "source_url": "https://www.ratemyprofessors.com/professor/2679424",
      "type": "review"
    }
  ]
}
```

#### task hash

74fb0997943e888960bbc9e47db8c4fd12e4292d55c20509d8d89db6a9910f68

#### teaching history

FENABA ADDO is recorded teaching in Fall 2015. Recorded history may be incomplete and does not establish a future schedule.

```json
{
  "citations": [
    {
      "course_id": "CNSRSCI 579",
      "run_id": "20260907T155543-ce3781c4",
      "section_number": 1,
      "source_course_id": "01accea9-4ccd-3e13-a7a3-874f52ace4c3",
      "source_record": {
        "entity_id": "01accea9-4ccd-3e13-a7a3-874f52ace4c3",
        "file": "tables/observations.parquet",
        "kind": "grades",
        "source": "madgrades"
      },
      "table": "section_grades_latest",
      "term_id": "1162",
      "type": "grade"
    }
  ]
}
```

GISELLA KAGY is recorded teaching in Spring 2024, Spring 2025. Recorded history may be incomplete and does not establish a future schedule.

```json
{
  "citations": [
    {
      "course_id": "CNSRSCI 579",
      "run_id": "20260907T155543-ce3781c4",
      "section_number": 2,
      "source_course_id": "01accea9-4ccd-3e13-a7a3-874f52ace4c3",
      "source_record": {
        "entity_id": "01accea9-4ccd-3e13-a7a3-874f52ace4c3",
        "file": "tables/observations.parquet",
        "kind": "grades",
        "source": "madgrades"
      },
      "table": "section_grades_latest",
      "term_id": "1244",
      "type": "grade"
    },
    {
      "course_id": "CNSRSCI 579",
      "run_id": "20260907T155543-ce3781c4",
      "section_number": 2,
      "source_course_id": "01accea9-4ccd-3e13-a7a3-874f52ace4c3",
      "source_record": {
        "entity_id": "01accea9-4ccd-3e13-a7a3-874f52ace4c3",
        "file": "tables/observations.parquet",
        "kind": "grades",
        "source": "madgrades"
      },
      "table": "section_grades_latest",
      "term_id": "1254",
      "type": "grade"
    }
  ]
}
```

MELODY HARVEY is recorded teaching in Fall 2021, Spring 2022, Spring 2023, Spring 2026. Recorded history may be incomplete and does not establish a future schedule.

```json
{
  "citations": [
    {
      "course_id": "CNSRSCI 579",
      "run_id": "20260907T155543-ce3781c4",
      "section_number": 1,
      "source_course_id": "01accea9-4ccd-3e13-a7a3-874f52ace4c3",
      "source_record": {
        "entity_id": "01accea9-4ccd-3e13-a7a3-874f52ace4c3",
        "file": "tables/observations.parquet",
        "kind": "grades",
        "source": "madgrades"
      },
      "table": "section_grades_latest",
      "term_id": "1222",
      "type": "grade"
    },
    {
      "course_id": "CNSRSCI 579",
      "run_id": "20260907T155543-ce3781c4",
      "section_number": 1,
      "source_course_id": "01accea9-4ccd-3e13-a7a3-874f52ace4c3",
      "source_record": {
        "entity_id": "01accea9-4ccd-3e13-a7a3-874f52ace4c3",
        "file": "tables/observations.parquet",
        "kind": "grades",
        "source": "madgrades"
      },
      "table": "section_grades_latest",
      "term_id": "1224",
      "type": "grade"
    },
    {
      "course_id": "CNSRSCI 579",
      "run_id": "20260907T155543-ce3781c4",
      "section_number": 1,
      "source_course_id": "01accea9-4ccd-3e13-a7a3-874f52ace4c3",
      "source_record": {
        "entity_id": "01accea9-4ccd-3e13-a7a3-874f52ace4c3",
        "file": "tables/observations.parquet",
        "kind": "grades",
        "source": "madgrades"
      },
      "table": "section_grades_latest",
      "term_id": "1234",
      "type": "grade"
    },
    {
      "course_id": "CNSRSCI 579",
      "run_id": "20260907T155543-ce3781c4",
      "section_number": 1,
      "source_course_id": "01accea9-4ccd-3e13-a7a3-874f52ace4c3",
      "source_record": {
        "entity_id": "01accea9-4ccd-3e13-a7a3-874f52ace4c3",
        "file": "tables/observations.parquet",
        "kind": "grades",
        "source": "madgrades"
      },
      "table": "section_grades_latest",
      "term_id": "1264",
      "type": "grade"
    }
  ]
}
```

#### term id

1272

#### term name

2026 Fall

#### version

2

### requirements

#### nodes

```json
[
  {
    "children": [],
    "condition": "Junior standing",
    "course": null,
    "evidence": "Junior 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\_7a4f0c0e0d09cc5d051998c2 | enrollment | gkagy                  | netid           | source\_identified | Gisella Kagy | GKAGY\@WISC.EDU | 2026-09-07 15:55:43.033547+00:00 | 2026-09-07 15:55:43.033547+00:00 | /instructors/GISELLA\_KAGY |

### offerings

```json
[
  {
    "run_id": "20260907T155543-ce3781c4",
    "semester": "1272",
    "observed_at": "2026-09-07 15:55:43.033547+00:00",
    "offering_id": "1272:271:004652",
    "course_id": "CNSRSCI 579",
    "course_uid": "course_20e7716682ffbf9e31ed297b",
    "term_id": "1272",
    "source_course_id": "004652",
    "source_subject_id": "271",
    "title": "Consumer Policy Analysis",
    "credits_min": 3,
    "credits_max": 3,
    "typically_offered": "Fall"
  }
]
```

### sections

```json
[
  {
    "run_id": "20260907T155543-ce3781c4",
    "observed_at": "2026-09-07 15:55:43.033547+00:00",
    "section_uid": "uw-section:1272:36965",
    "term_id": "1272",
    "source_section_id": "36965",
    "identity_basis": "class_number",
    "section_number": "001",
    "section_type": "LEC",
    "instruction_mode": "Classroom Instruction",
    "capacity": 42,
    "enrolled": 39,
    "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_bed86d5c7c5a6e47fc53a578",
    "source": "madgrades",
    "source_instructor_id": "4454307",
    "identity_basis": "source_id",
    "identity_status": "source_identified",
    "name": "J COLLINS",
    "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": 3.573,
      "graded": 603,
      "counts": [
        336,
        149,
        41,
        44,
        26,
        4,
        3
      ],
      "sections": 64
    },
    "instructor_url": "/instructors/J_COLLINS--instructor_bed86d5c7c5a6e47fc53a578"
  },
  {
    "instructor_uid": "instructor_c24ff0124370238c9d8768f0",
    "source": "madgrades",
    "source_instructor_id": "5450745",
    "identity_basis": "source_id",
    "identity_status": "source_identified",
    "name": "FENABA ADDO",
    "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": 5,
      "quality": 1.6,
      "difficulty": 3.4,
      "quality_count": 5,
      "difficulty_count": 5,
      "profile_id": "rmp:2044855",
      "source_url": "https://www.ratemyprofessors.com/professor/2044855",
      "match_basis": "exact_name",
      "observed_at": "2026-09-07 16:39:18.084909+00:00",
      "courses": {
        "course_1385b5e0c98ed8c94e377694": {
          "review_count": 1,
          "quality": 3,
          "difficulty": 3,
          "quality_count": 1,
          "difficulty_count": 1
        },
        "course_20e7716682ffbf9e31ed297b": {
          "review_count": 1,
          "quality": 1,
          "difficulty": 4,
          "quality_count": 1,
          "difficulty_count": 1
        }
      },
      "bayesian_quality": 3.2477486268372764,
      "prior_mean": 3.6596857835465957,
      "prior_weight": 20
    },
    "grade_statistics": {
      "gpa": 3.498,
      "graded": 508,
      "counts": [
        207,
        175,
        69,
        43,
        8,
        6,
        0
      ],
      "sections": 12
    },
    "instructor_url": "/instructors/FENABA_ADDO--instructor_c24ff0124370238c9d8768f0"
  },
  {
    "instructor_uid": "instructor_cc7de6f46e7199d98d3c42fa",
    "source": "madgrades",
    "source_instructor_id": "5348946",
    "identity_basis": "source_id",
    "identity_status": "source_identified",
    "name": "MADELAINE L'ESPERANCE",
    "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": 3.305,
      "graded": 151,
      "counts": [
        41,
        58,
        23,
        20,
        5,
        3,
        1
      ],
      "sections": 3
    },
    "instructor_url": "/instructors/MADELAINE_LESPERANCE--instructor_cc7de6f46e7199d98d3c42fa"
  },
  {
    "instructor_uid": "instructor_5038b575ccbaa81edfb52d3f",
    "source": "madgrades",
    "source_instructor_id": "6313312",
    "identity_basis": "source_id",
    "identity_status": "source_identified",
    "name": "MELODY HARVEY",
    "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": 1.78,
      "difficulty": 2.11,
      "quality_count": 9,
      "difficulty_count": 9,
      "profile_id": "rmp:2679424",
      "source_url": "https://www.ratemyprofessors.com/professor/2679424",
      "match_basis": "exact_name",
      "observed_at": "2026-09-07 16:18:51.260147+00:00",
      "courses": {
        "course_638859174a993830eb375b8f": {
          "review_count": 3,
          "quality": 2,
          "difficulty": 1.33,
          "quality_count": 3,
          "difficulty_count": 3
        },
        "course_bc61e79da96215de764ee362": {
          "review_count": 4,
          "quality": 2,
          "difficulty": 2.25,
          "quality_count": 4,
          "difficulty_count": 4
        },
        "course_20e7716682ffbf9e31ed297b": {
          "review_count": 2,
          "quality": 1,
          "difficulty": 3,
          "quality_count": 2,
          "difficulty_count": 2
        }
      },
      "bayesian_quality": 3.076335023135583,
      "prior_mean": 3.6596857835465957,
      "prior_weight": 20
    },
    "grade_statistics": {
      "gpa": 3.505,
      "graded": 731,
      "counts": [
        319,
        246,
        85,
        53,
        15,
        8,
        5
      ],
      "sections": 16
    },
    "instructor_url": "/instructors/MELODY_HARVEY--instructor_5038b575ccbaa81edfb52d3f"
  },
  {
    "instructor_uid": "instructor_74753df0cf2259639f5c7d6e",
    "source": "madgrades",
    "source_instructor_id": "6010911",
    "identity_basis": "source_id",
    "identity_status": "source_identified",
    "name": "AMIT JADHAV",
    "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": 3.498,
      "graded": 217,
      "counts": [
        95,
        63,
        40,
        11,
        5,
        1,
        2
      ],
      "sections": 5
    },
    "instructor_url": "/instructors/AMIT_JADHAV--instructor_74753df0cf2259639f5c7d6e"
  },
  {
    "instructor_uid": "instructor_1fbaa949ec3e81ea34ca7d8c",
    "source": "madgrades",
    "source_instructor_id": "6465074",
    "identity_basis": "source_id",
    "identity_status": "source_identified",
    "name": "ANDREW VANDERMEER",
    "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": 3.828,
      "graded": 122,
      "counts": [
        100,
        11,
        6,
        3,
        1,
        1,
        0
      ],
      "sections": 5
    },
    "instructor_url": "/instructors/ANDREW_VANDERMEER"
  },
  {
    "instructor_uid": "instructor_03d1968a4896d4eb5cdc7302",
    "source": "madgrades",
    "source_instructor_id": "4576633",
    "identity_basis": "source_id",
    "identity_status": "source_identified",
    "name": "GISELLA KAGY",
    "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": 3.708,
      "graded": 137,
      "counts": [
        89,
        28,
        15,
        2,
        2,
        0,
        1
      ],
      "sections": 6
    },
    "instructor_url": "/instructors/GISELLA_KAGY--instructor_03d1968a4896d4eb5cdc7302"
  },
  {
    "instructor_uid": "instructor_7a4f0c0e0d09cc5d051998c2",
    "source": "enrollment",
    "source_instructor_id": "gkagy",
    "identity_basis": "netid",
    "identity_status": "source_identified",
    "name": "Gisella Kagy",
    "email": "GKAGY@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/GISELLA_KAGY"
  }
]
```

### grades

```json
[
  {
    "run_id": "20260907T155543-ce3781c4",
    "semester": "1272",
    "observed_at": "2026-09-07 15:55:43.033547+00:00",
    "course_id": "CNSRSCI 579",
    "course_uid": "course_20e7716682ffbf9e31ed297b",
    "term_id": "1152",
    "term_name": "Fall 2014",
    "instructors": [
      "J. Michael Collins"
    ],
    "a": 3,
    "ab": 20,
    "b": 14,
    "bc": 21,
    "c": 17,
    "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": 76,
    "source_aliases": [
      "CNSRSCI 579"
    ]
  },
  {
    "run_id": "20260907T155543-ce3781c4",
    "semester": "1272",
    "observed_at": "2026-09-07 15:55:43.033547+00:00",
    "course_id": "CNSRSCI 579",
    "course_uid": "course_20e7716682ffbf9e31ed297b",
    "term_id": "1162",
    "term_name": "Fall 2015",
    "instructors": [
      "FENABA ADDO"
    ],
    "a": 7,
    "ab": 22,
    "b": 25,
    "bc": 16,
    "c": 2,
    "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": 73,
    "source_aliases": [
      "CNSRSCI 579"
    ]
  },
  {
    "run_id": "20260907T155543-ce3781c4",
    "semester": "1272",
    "observed_at": "2026-09-07 15:55:43.033547+00:00",
    "course_id": "CNSRSCI 579",
    "course_uid": "course_20e7716682ffbf9e31ed297b",
    "term_id": "1172",
    "term_name": "Fall 2016",
    "instructors": [
      "J. Michael Collins",
      "MADELAINE L'ESPERANCE"
    ],
    "a": 19,
    "ab": 26,
    "b": 9,
    "bc": 8,
    "c": 3,
    "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": 67,
    "source_aliases": [
      "CNSRSCI 579"
    ]
  },
  {
    "run_id": "20260907T155543-ce3781c4",
    "semester": "1272",
    "observed_at": "2026-09-07 15:55:43.033547+00:00",
    "course_id": "CNSRSCI 579",
    "course_uid": "course_20e7716682ffbf9e31ed297b",
    "term_id": "1182",
    "term_name": "Fall 2017",
    "instructors": [
      "MADELAINE L'ESPERANCE"
    ],
    "a": 4,
    "ab": 13,
    "b": 11,
    "bc": 9,
    "c": 1,
    "d": 2,
    "f": 0,
    "satisfactory": 0,
    "unsatisfactory": 0,
    "credit": 0,
    "no_credit": 0,
    "passed": 0,
    "incomplete": 1,
    "no_work": 0,
    "not_reported": 0,
    "other": 0,
    "total": 41,
    "source_aliases": [
      "CNSRSCI 579"
    ]
  },
  {
    "run_id": "20260907T155543-ce3781c4",
    "semester": "1272",
    "observed_at": "2026-09-07 15:55:43.033547+00:00",
    "course_id": "CNSRSCI 579",
    "course_uid": "course_20e7716682ffbf9e31ed297b",
    "term_id": "1222",
    "term_name": "Fall 2021",
    "instructors": [
      "Melody Harvey"
    ],
    "a": 12,
    "ab": 13,
    "b": 6,
    "bc": 4,
    "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": 36,
    "source_aliases": [
      "CNSRSCI 579"
    ]
  },
  {
    "run_id": "20260907T155543-ce3781c4",
    "semester": "1272",
    "observed_at": "2026-09-07 15:55:43.033547+00:00",
    "course_id": "CNSRSCI 579",
    "course_uid": "course_20e7716682ffbf9e31ed297b",
    "term_id": "1224",
    "term_name": "Spring 2022",
    "instructors": [
      "Amit Jadhav",
      "Melody Harvey"
    ],
    "a": 1,
    "ab": 5,
    "b": 7,
    "bc": 3,
    "c": 0,
    "d": 0,
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    "credit": 0,
    "no_credit": 0,
    "passed": 0,
    "incomplete": 0,
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    "not_reported": 0,
    "other": 0,
    "total": 16,
    "source_aliases": [
      "CNSRSCI 579"
    ]
  },
  {
    "run_id": "20260907T155543-ce3781c4",
    "semester": "1272",
    "observed_at": "2026-09-07 15:55:43.033547+00:00",
    "course_id": "CNSRSCI 579",
    "course_uid": "course_20e7716682ffbf9e31ed297b",
    "term_id": "1234",
    "term_name": "Spring 2023",
    "instructors": [
      "ANDREW VANDERMEER",
      "Melody Harvey"
    ],
    "a": 10,
    "ab": 8,
    "b": 5,
    "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": 26,
    "source_aliases": [
      "CNSRSCI 579"
    ]
  },
  {
    "run_id": "20260907T155543-ce3781c4",
    "semester": "1272",
    "observed_at": "2026-09-07 15:55:43.033547+00:00",
    "course_id": "CNSRSCI 579",
    "course_uid": "course_20e7716682ffbf9e31ed297b",
    "term_id": "1244",
    "term_name": "Spring 2024",
    "instructors": [
      "Gisella Kagy"
    ],
    "a": 6,
    "ab": 4,
    "b": 2,
    "bc": 0,
    "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": 13,
    "source_aliases": [
      "CNSRSCI 579"
    ]
  },
  {
    "run_id": "20260907T155543-ce3781c4",
    "semester": "1272",
    "observed_at": "2026-09-07 15:55:43.033547+00:00",
    "course_id": "CNSRSCI 579",
    "course_uid": "course_20e7716682ffbf9e31ed297b",
    "term_id": "1254",
    "term_name": "Spring 2025",
    "instructors": [
      "Gisella Kagy"
    ],
    "a": 11,
    "ab": 4,
    "b": 3,
    "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": [
      "CNSRSCI 579"
    ]
  },
  {
    "run_id": "20260907T155543-ce3781c4",
    "semester": "1272",
    "observed_at": "2026-09-07 15:55:43.033547+00:00",
    "course_id": "CNSRSCI 579",
    "course_uid": "course_20e7716682ffbf9e31ed297b",
    "term_id": "1264",
    "term_name": "Spring 2026",
    "instructors": [
      "Melody Harvey"
    ],
    "a": 2,
    "ab": 3,
    "b": 1,
    "bc": 0,
    "c": 1,
    "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": 8,
    "source_aliases": [
      "CNSRSCI 579"
    ]
  }
]
```

### statistics

#### gpa

3.16

#### graded

373

#### counts

* 75
* 118
* 83
* 63
* 26
* 7
* 1

### grade conflicts

None recorded.

### evidence

#### history

* [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course\_20e7716682ffbf9e31ed297b-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course_20e7716682ffbf9e31ed297b-0.json)

#### traces

* [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course\_20e7716682ffbf9e31ed297b-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course_20e7716682ffbf9e31ed297b-0.json)

#### reviews

* [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/reviews/course\_20e7716682ffbf9e31ed297b-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/reviews/course_20e7716682ffbf9e31ed297b-0.json)

#### meetings

* [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/meetings/course\_20e7716682ffbf9e31ed297b-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/meetings/course_20e7716682ffbf9e31ed297b-0.json)

#### results

* [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course\_20e7716682ffbf9e31ed297b-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course_20e7716682ffbf9e31ed297b-0.json)

### revision

e243353dcb7d79b7247ced91d69443ef4c2a6349

## context

### all

#### term



#### gpa

3.159517426273458

#### count

373

#### university

##### size

4229

##### gpa Percentile

6

##### count Percentile

80

##### median Count

124

##### histogram

| range   | count | current |
| ------- | ----- | ------- |
| 0.0–0.4 | 0     | false   |
| 0.4–0.8 | 0     | false   |
| 0.8–1.2 | 0     | false   |
| 1.2–1.6 | 0     | false   |
| 1.6–2.0 | 0     | false   |
| 2.0–2.4 | 0     | false   |
| 2.4–2.8 | 15    | false   |
| 2.8–3.2 | 305   | true    |
| 3.2–3.6 | 1168  | false   |
| 3.6–4.0 | 2741  | false   |

#### departments

```json
[
  {
    "subject": "CNSRSCI",
    "comparison": {
      "size": 31,
      "gpaPercentile": 3,
      "countPercentile": 40,
      "medianCount": 441,
      "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": 9,
          "current": false
        },
        {
          "range": "3.6–4.0",
          "count": 20,
          "current": false
        }
      ]
    }
  }
]
```

### terms

#### 1152

##### term

1152

##### gpa

2.7828947368421053

##### count

76

##### university

###### size

918

###### gpa Percentile

3

###### count Percentile

56

###### median Count

65

###### histogram

| range   | count | current |
| ------- | ----- | ------- |
| 0.0–0.4 | 0     | false   |
| 0.4–0.8 | 0     | false   |
| 0.8–1.2 | 0     | false   |
| 1.2–1.6 | 0     | false   |
| 1.6–2.0 | 0     | false   |
| 2.0–2.4 | 1     | false   |
| 2.4–2.8 | 33    | true    |
| 2.8–3.2 | 227   | false   |
| 3.2–3.6 | 371   | false   |
| 3.6–4.0 | 286   | false   |

##### departments

| subject | comparison |
| ------- | ---------- |
| CNSRSCI |            |

#### 1162

##### term

1162

##### gpa

3.0821917808219177

##### count

73

##### university

###### size

954

###### gpa Percentile

18

###### count Percentile

56

###### median Count

64.5

###### histogram

| range   | count | current |
| ------- | ----- | ------- |
| 0.0–0.4 | 0     | false   |
| 0.4–0.8 | 0     | false   |
| 0.8–1.2 | 0     | false   |
| 1.2–1.6 | 0     | false   |
| 1.6–2.0 | 0     | false   |
| 2.0–2.4 | 2     | false   |
| 2.4–2.8 | 23    | false   |
| 2.8–3.2 | 234   | true    |
| 3.2–3.6 | 350   | false   |
| 3.6–4.0 | 345   | false   |

##### departments

| subject | comparison |
| ------- | ---------- |
| CNSRSCI |            |

#### 1172

##### term

1172

##### gpa

3.298507462686567

##### count

67

##### university

###### size

991

###### gpa Percentile

33

###### count Percentile

49

###### 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 | 0     | false   |
| 2.4–2.8 | 22    | false   |
| 2.8–3.2 | 226   | false   |
| 3.2–3.6 | 353   | true    |
| 3.6–4.0 | 390   | false   |

##### departments

```json
[
  {
    "subject": "CNSRSCI",
    "comparison": {
      "size": 14,
      "gpaPercentile": 31,
      "countPercentile": 54,
      "medianCount": 65.5,
      "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": 4,
          "current": false
        },
        {
          "range": "3.2–3.6",
          "count": 5,
          "current": true
        },
        {
          "range": "3.6–4.0",
          "count": 5,
          "current": false
        }
      ]
    }
  }
]
```

#### 1182

##### term

1182

##### gpa

3.025

##### count

40

##### university

###### size

1025

###### gpa Percentile

13

###### count Percentile

17

###### 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": "CNSRSCI",
    "comparison": {
      "size": 17,
      "gpaPercentile": 0,
      "countPercentile": 13,
      "medianCount": 75,
      "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": 7,
          "current": false
        },
        {
          "range": "3.6–4.0",
          "count": 8,
          "current": false
        }
      ]
    }
  }
]
```

#### 1222

##### term

1222

##### gpa

3.4027777777777777

##### count

36

##### university

###### size

1157

###### gpa Percentile

30

###### count Percentile

14

###### 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   | true    |
| 3.6–4.0 | 614   | false   |

##### departments

```json
[
  {
    "subject": "CNSRSCI",
    "comparison": {
      "size": 21,
      "gpaPercentile": 25,
      "countPercentile": 5,
      "medianCount": 58,
      "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": 7,
          "current": true
        },
        {
          "range": "3.6–4.0",
          "count": 14,
          "current": false
        }
      ]
    }
  }
]
```

#### 1224

##### term

1224

##### gpa

3.125

##### count

16

##### departments

| subject | comparison |
| ------- | ---------- |
| CNSRSCI |            |

#### 1234

##### term

1234

##### gpa

3.4615384615384617

##### count

26

##### departments

| subject | comparison |
| ------- | ---------- |
| CNSRSCI |            |

#### 1244

##### term

1244

##### gpa

3.5384615384615383

##### count

13

##### departments

| subject | comparison |
| ------- | ---------- |
| CNSRSCI |            |

#### 1254

##### term

1254

##### gpa

3.7222222222222223

##### count

18

##### departments

| subject | comparison |
| ------- | ---------- |
| CNSRSCI |            |

#### 1264

##### term

1264

##### gpa

3.0625

##### count

8

##### departments

| subject | comparison |
| ------- | ---------- |
| CNSRSCI |            |

### benchmarks

#### all

##### school

###### size

4229

###### gpa

3.6650276065786875

###### top Share

82.21196804263346

###### count

124

##### CNSRSCI

###### size

31

###### gpa

3.5976219665364173

###### top Share

80.16274759292203

###### count

441

#### terms

##### 1152

###### school

###### size

918

###### gpa

3.408733538594633

###### top Share

66.06693005846735

###### count

65

##### 1162

###### school

###### size

954

###### gpa

3.43726781345039

###### top Share

68.05645304987395

###### count

64.5

##### 1172

###### school

###### size

991

###### gpa

3.465129042641772

###### top Share

69.42600667567366

###### count

67

###### CNSRSCI

###### size

14

###### gpa

3.4758058955291706

###### top Share

72.40039806741547

###### count

65.5

##### 1182

###### school

###### size

1025

###### gpa

3.474159360325319

###### top Share

70.34861441764347

###### count

69

###### CNSRSCI

###### size

17

###### gpa

3.5145694086277337

###### top Share

74.60378274938202

###### count

75

##### 1222

###### school

###### size

1157

###### gpa

3.563052311875811

###### top Share

76.64869058732418

###### count

64

###### CNSRSCI

###### size

21

###### gpa

3.6219066273341127

###### top Share

81.61770534110484

###### count

58

##### 1224

###### school

###### size

1171

###### gpa

3.5627882428500937

###### top Share

76.37271640560496

###### count

64

###### CNSRSCI

###### size

20

###### gpa

3.5454759115101373

###### top Share

79.46534212003172

###### count

70.5

##### 1234

###### school

###### size

1188

###### gpa

3.5799441677552393

###### top Share

77.18256448537606

###### count

65

###### CNSRSCI

###### size

19

###### gpa

3.6048767735668403

###### top Share

80.03346364170125

###### count

117

##### 1244

###### school

###### size

1241

###### gpa

3.5975573126929192

###### top Share

78.29036874847135

###### count

65

###### CNSRSCI

###### size

23

###### gpa

3.5862228593095566

###### top Share

79.17919283986976

###### count

104

##### 1254

###### school

###### size

1289

###### gpa

3.6126423469389106

###### top Share

79.48050408754871

###### count

66

###### CNSRSCI

###### size

23

###### gpa

3.564727474066601

###### top Share

79.63337143038319

###### count

90

##### 1264

###### school

###### size

1283

###### gpa

3.6229729166451925

###### top Share

80.13669149396227

###### count

66

###### CNSRSCI

###### size

22

###### gpa

3.51605863991461

###### top Share

75.92309209656172

###### count

105

## instructor Trends

```json
[
  {
    "uid": "instructor_bed86d5c7c5a6e47fc53a578",
    "name": "J COLLINS",
    "count": 143,
    "terms": [
      {
        "term": "1152",
        "count": 76,
        "sections": 1,
        "gpa": 2.7828947368421053
      },
      {
        "term": "1172",
        "count": 67,
        "sections": 1,
        "gpa": 3.298507462686567
      }
    ]
  },
  {
    "uid": "instructor_cc7de6f46e7199d98d3c42fa",
    "name": "MADELAINE L'ESPERANCE",
    "count": 107,
    "terms": [
      {
        "term": "1172",
        "count": 67,
        "sections": 1,
        "gpa": 3.298507462686567
      },
      {
        "term": "1182",
        "count": 40,
        "sections": 1,
        "gpa": 3.025
      }
    ]
  },
  {
    "uid": "instructor_5038b575ccbaa81edfb52d3f",
    "name": "MELODY HARVEY",
    "count": 86,
    "terms": [
      {
        "term": "1222",
        "count": 36,
        "sections": 1,
        "gpa": 3.4027777777777777
      },
      {
        "term": "1224",
        "count": 16,
        "sections": 1,
        "gpa": 3.125
      },
      {
        "term": "1234",
        "count": 26,
        "sections": 1,
        "gpa": 3.4615384615384617
      },
      {
        "term": "1264",
        "count": 8,
        "sections": 1,
        "gpa": 3.0625
      }
    ]
  },
  {
    "uid": "instructor_c24ff0124370238c9d8768f0",
    "name": "FENABA ADDO",
    "count": 73,
    "terms": [
      {
        "term": "1162",
        "count": 73,
        "sections": 1,
        "gpa": 3.0821917808219177
      }
    ]
  },
  {
    "uid": "instructor_03d1968a4896d4eb5cdc7302",
    "name": "GISELLA KAGY",
    "count": 31,
    "terms": [
      {
        "term": "1244",
        "count": 13,
        "sections": 1,
        "gpa": 3.5384615384615383
      },
      {
        "term": "1254",
        "count": 18,
        "sections": 1,
        "gpa": 3.7222222222222223
      }
    ]
  },
  {
    "uid": "instructor_1fbaa949ec3e81ea34ca7d8c",
    "name": "ANDREW VANDERMEER",
    "count": 26,
    "terms": [
      {
        "term": "1234",
        "count": 26,
        "sections": 1,
        "gpa": 3.4615384615384617
      }
    ]
  },
  {
    "uid": "instructor_74753df0cf2259639f5c7d6e",
    "name": "AMIT JADHAV",
    "count": 16,
    "terms": [
      {
        "term": "1224",
        "count": 16,
        "sections": 1,
        "gpa": 3.125
      }
    ]
  }
]
```

## following

None recorded.
