# NUTRSCI 379: Introduction to Epidemiology | UW–Madison

[View on UW Courses](https://uwcourses.com/courses/NUTRSCI_379)

## 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

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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

2a17671174dc99077a57cd2bba93a379f15e30bcf506e42c094066376eb390b2

### course id

NUTRSCI 379

### course uid

course\_eec04fd90af6ed324aa0366d

### catalog version id

4b7c3ead412f32ae43a63947a00d029bb323b1f4a754802a05c15825446b2a9b

### course number

379

### subjects

* NUTRSCI

### title

INTRODUCTION TO EPIDEMIOLOGY

### description

Provides an interdisciplinary introduction to the field of epidemiology. As the "detectives of public health," epidemiologists investigate the causes of disease, track outbreaks, screen and monitor the health of populations, and design studies to track health over time. Epidemiological research is used to identify groups at-risk for disease, guide public health programs and policies and generate hypotheses about the causes of diseases which can inform further research. Also examines association and causality, study design, and limitations to epidemiological evidence, drawing from real examples, both current and historical.

### requirements text

PSYCH 210,STAT 240,301,324or371

### credits min

3

### credits max

3

### credit offering ids

* 1272:694:025688

### llm job id

enrich-f516c4d3e82cfe326b4f5f54

### llm output id

976dc14fcb2dee0fa703e002ee5a6454850cd66b6e90c6dce1252da930d8f902

### llm model

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

### llm model revision

1355db6a052410cfd62085d94b58866fd0f2c3c5

### llm task version

14

### llm search status

valid

### llm summary

Introduction to epidemiology as the detectives of public health, covering study design, causality, and population health monitoring.

### llm topics

* Disease causation and outbreak tracking.
* Longitudinal study design.
* Risk identification and public health policy.
* Association, causality, and evidence limitations.

### llm skills

* Investigating disease causes and tracking outbreaks.
* Designing longitudinal health studies.
* Identifying at-risk groups and generating disease hypotheses.
* Examining association, causality, and evidence limitations.

### llm assumed background

* Foundational statistics including hypothesis testing, regression, and ANOVA.
* Data management, R programming, and statistical inference.
* Statistical distributions, regression, correlation, and experimental design.
* Probability, hypothesis testing, linear regression, ANOVA, and R.
* Statistical practice in life sciences, R, EDA, and inference.

### llm search phrases

* epidemiology introduction
* public health detectives
* disease causation study design
* population health monitoring
* association causality epidemiology

### llm requirements status

valid

### llm student summary status

valid

### llm experience status

valid

### catalog variants

None recorded.

### student summary

#### context hash

9261cbcfc8960a447748cee63ecae032980b6a0752eee211ee4ad99e6689ab5e

#### course id

NUTRSCI 379

#### current instructors

```json
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    "instructor_uid": "instructor_22584b1b3514c23fa81a69dd",
    "message": null,
    "name": "Kara Bresnahan",
    "review_status": "supported",
    "rmp_instructor_id": "rmp:3076228",
    "summary": [
      {
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            "instructor_name": "Kara Bresnahan",
            "review_date": "2026-02-19 15:55:32 +0000 UTC",
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            "instructor_name": "Kara Bresnahan",
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            "instructor_name": "Kara Bresnahan",
            "review_date": "2026-08-07 10:01:06 +0000 UTC",
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            "source_url": "https://www.ratemyprofessors.com/professor/3076228",
            "type": "review"
          }
        ],
        "text": "Kara Bresnahan receives uniformly low praise for poor communication, including ignoring questions and posting materials late. Reviewers criticize her for unclear exams, fast-paced uncaptioned videos, and a lack of student support during Excel-heavy problem sets."
      },
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        "text": "Recent recorded grades — Spring 2024: 3.80 GPA, 89.4% A/AB (n=199 letter grades); Spring 2025: 3.59 GPA, 76.2% A/AB (n=210 letter grades); Spring 2026: 3.53 GPA, 76.4% A/AB (n=216 letter grades). Includes jointly taught sections."
      }
    ]
  }
]
```

#### difficulty workload

The workload involves heavy Excel problem sets with minimal guidance and pre-recorded lectures that are difficult to follow due to speed and lack of captions. Exams are reported as harder than necessary, often containing unclear questions or errors, and require significant independent preparation.

```json
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      "instructor_name": "Kara Bresnahan",
      "review_date": "2026-03-19 01:59:23 +0000 UTC",
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      "type": "review"
    },
    {
      "instructor_name": "Kara Bresnahan",
      "review_date": "2026-03-23 20:16:27 +0000 UTC",
      "review_id": "85ae000ce07c0563c9601233",
      "run_id": "20260907T155543-ce3781c4",
      "source_instructor_id": "rmp:3076228",
      "source_review_id": "UmF0aW5nLTQyNzI3NTU5",
      "source_url": "https://www.ratemyprofessors.com/professor/3076228",
      "type": "review"
    },
    {
      "instructor_name": "Kara Bresnahan",
      "review_date": "2026-03-24 15:15:39 +0000 UTC",
      "review_id": "5eb83d0ed5e4fd101116cf1f",
      "run_id": "20260907T155543-ce3781c4",
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      "source_url": "https://www.ratemyprofessors.com/professor/3076228",
      "type": "review"
    },
    {
      "instructor_name": "Kara Bresnahan",
      "review_date": "2026-05-04 16:06:48 +0000 UTC",
      "review_id": "4d25f5950c113909d9ab05b2",
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      "review_date": "2026-08-07 10:01:06 +0000 UTC",
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      "source_url": "https://www.ratemyprofessors.com/professor/3076228",
      "type": "review"
    }
  ]
}
```

#### errors

None recorded.

#### historical context

None recorded.

#### offered

true

#### profile hash

e59ddc7389015d0035b68cd195c939d475bf72b959b29cf12eab59b454ccaef1

#### quick take

Kara Bresnahan’s NUTRSCI 379 course is described as a self-directed hybrid experience where students must rely heavily on the textbook. Reviewers report that the instructor is unaccommodating and that the course structure makes the material unnecessarily difficult to access.

```json
{
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      "instructor_name": "Kara Bresnahan",
      "review_date": "2026-02-19 15:55:32 +0000 UTC",
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      "run_id": "20260907T155543-ce3781c4",
      "source_instructor_id": "rmp:3076228",
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    {
      "instructor_name": "Kara Bresnahan",
      "review_date": "2026-03-19 01:59:23 +0000 UTC",
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      "review_date": "2026-03-23 20:16:27 +0000 UTC",
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      "source_url": "https://www.ratemyprofessors.com/professor/3076228",
      "type": "review"
    }
  ]
}
```

Recent recorded grades — Spring 2024: 3.80 GPA, 89.4% A/AB (n=199 letter grades); Spring 2025: 3.59 GPA, 76.2% A/AB (n=210 letter grades); Spring 2026: 3.53 GPA, 76.4% A/AB (n=216 letter grades).

```json
{
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        "source": "madgrades"
      },
      "table": "grades_latest",
      "term_id": "1264",
      "type": "grade"
    }
  ]
}
```

#### student experience

Students report frustration with Bresnahan’s dismissive attitude toward questions, late posting of materials, and lack of accommodations. The textbook is often cited as more helpful than the provided slides or lectures, which are described as poorly explained or inaccessible.

```json
{
  "citations": [
    {
      "instructor_name": "Kara Bresnahan",
      "review_date": "2026-02-19 15:55:32 +0000 UTC",
      "review_id": "04322439b3a8639126e429bb",
      "run_id": "20260907T155543-ce3781c4",
      "source_instructor_id": "rmp:3076228",
      "source_review_id": "UmF0aW5nLTQyNjI1OTc3",
      "source_url": "https://www.ratemyprofessors.com/professor/3076228",
      "type": "review"
    },
    {
      "instructor_name": "Kara Bresnahan",
      "review_date": "2026-02-21 03:55:45 +0000 UTC",
      "review_id": "9d45ee369c2faa0f8dbc724d",
      "run_id": "20260907T155543-ce3781c4",
      "source_instructor_id": "rmp:3076228",
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      "type": "review"
    },
    {
      "instructor_name": "Kara Bresnahan",
      "review_date": "2026-03-19 01:59:23 +0000 UTC",
      "review_id": "0f6574d0ff3e0f5d0aa4b7fe",
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      "source_url": "https://www.ratemyprofessors.com/professor/3076228",
      "type": "review"
    },
    {
      "instructor_name": "Kara Bresnahan",
      "review_date": "2026-03-23 20:16:27 +0000 UTC",
      "review_id": "85ae000ce07c0563c9601233",
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    {
      "instructor_name": "Kara Bresnahan",
      "review_date": "2026-03-24 15:15:39 +0000 UTC",
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      "type": "review"
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    {
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      "review_date": "2026-05-04 16:06:48 +0000 UTC",
      "review_id": "4d25f5950c113909d9ab05b2",
      "run_id": "20260907T155543-ce3781c4",
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      "source_url": "https://www.ratemyprofessors.com/professor/3076228",
      "type": "review"
    },
    {
      "instructor_name": "Kara Bresnahan",
      "review_date": "2026-08-07 10:01:06 +0000 UTC",
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      "source_url": "https://www.ratemyprofessors.com/professor/3076228",
      "type": "review"
    }
  ]
}
```

#### task hash

74fb0997943e888960bbc9e47db8c4fd12e4292d55c20509d8d89db6a9910f68

#### teaching history

KARA BRESNAHAN is recorded teaching in Spring 2024, Spring 2025, Spring 2026. Recorded history may be incomplete and does not establish a future schedule.

```json
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}
```

#### term id

1272

#### term name

2026 Fall

#### version

2

### requirements

#### nodes

```json
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    "evidence": "PSYCH 210,STAT 240,301,324or371",
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      "timing": "prior"
    },
    "evidence": "371",
    "id": "n6",
    "kind": "course"
  }
]
```

#### notes

None recorded.

#### root

n0

#### status

parsed

### instructors

```json
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]
```

### offerings

```json
[
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    "source_course_id": "025688",
    "source_subject_id": "694",
    "title": "Introduction to Epidemiology",
    "credits_min": 3,
    "credits_max": 3,
    "typically_offered": "Not Applicable"
  }
]
```

### sections

```json
[
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    "observed_at": "2026-09-07 15:55:43.033547+00:00",
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    "identity_basis": "class_number",
    "section_number": "002",
    "section_type": "LEC",
    "instruction_mode": "Classroom Instruction",
    "capacity": 200,
    "enrolled": 175,
    "waitlisted": 0,
    "start_date": "2026-09-02 05:00:00+00:00",
    "end_date": "2026-12-09 06:00:00+00:00"
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]
```

### grade instructors

```json
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```

### grades

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    "term_id": "1254",
    "term_name": "Spring 2025",
    "instructors": [
      "Corinne Engelman",
      "Kara Bresnahan"
    ],
    "a": 126,
    "ab": 34,
    "b": 28,
    "bc": 13,
    "c": 6,
    "d": 2,
    "f": 1,
    "satisfactory": 0,
    "unsatisfactory": 0,
    "credit": 0,
    "no_credit": 0,
    "passed": 0,
    "incomplete": 0,
    "no_work": 0,
    "not_reported": 0,
    "other": 0,
    "total": 210,
    "source_aliases": [
      "NUTRSCI 379"
    ]
  },
  {
    "run_id": "20260907T155543-ce3781c4",
    "semester": "1272",
    "observed_at": "2026-09-07 15:55:43.033547+00:00",
    "course_id": "NUTRSCI 379",
    "course_uid": "course_eec04fd90af6ed324aa0366d",
    "term_id": "1264",
    "term_name": "Spring 2026",
    "instructors": [
      "Kara Bresnahan"
    ],
    "a": 107,
    "ab": 58,
    "b": 27,
    "bc": 13,
    "c": 9,
    "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": 216,
    "source_aliases": [
      "NUTRSCI 379"
    ]
  }
]
```

### statistics

#### gpa

3.697

#### graded

944

#### counts

* 626
* 165
* 92
* 34
* 22
* 3
* 2

### grade conflicts

None recorded.

### evidence

#### history

* [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course\_eec04fd90af6ed324aa0366d-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course_eec04fd90af6ed324aa0366d-0.json)

#### traces

* [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course\_eec04fd90af6ed324aa0366d-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course_eec04fd90af6ed324aa0366d-0.json)

#### reviews

* [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/reviews/course\_eec04fd90af6ed324aa0366d-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/reviews/course_eec04fd90af6ed324aa0366d-0.json)

#### meetings

* [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/meetings/course\_eec04fd90af6ed324aa0366d-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/meetings/course_eec04fd90af6ed324aa0366d-0.json)

#### results

* [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course\_eec04fd90af6ed324aa0366d-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course_eec04fd90af6ed324aa0366d-0.json)

### revision

e243353dcb7d79b7247ced91d69443ef4c2a6349

## context

### all

#### term



#### gpa

3.6965042372881354

#### count

944

#### university

##### size

2947

##### gpa Percentile

43

##### count Percentile

95

##### median Count

113

##### 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 | 11    | false   |
| 2.8–3.2 | 200   | false   |
| 3.2–3.6 | 728   | false   |
| 3.6–4.0 | 2007  | true    |

#### departments

```json
[
  {
    "subject": "NUTRSCI",
    "comparison": {
      "size": 24,
      "gpaPercentile": 52,
      "countPercentile": 91,
      "medianCount": 164,
      "histogram": [
        {
          "range": "0.0–0.4",
          "count": 0,
          "current": false
        },
        {
          "range": "0.4–0.8",
          "count": 0,
          "current": false
        },
        {
          "range": "0.8–1.2",
          "count": 0,
          "current": false
        },
        {
          "range": "1.2–1.6",
          "count": 0,
          "current": false
        },
        {
          "range": "1.6–2.0",
          "count": 0,
          "current": false
        },
        {
          "range": "2.0–2.4",
          "count": 0,
          "current": false
        },
        {
          "range": "2.4–2.8",
          "count": 0,
          "current": false
        },
        {
          "range": "2.8–3.2",
          "count": 3,
          "current": false
        },
        {
          "range": "3.2–3.6",
          "count": 6,
          "current": false
        },
        {
          "range": "3.6–4.0",
          "count": 15,
          "current": true
        }
      ]
    }
  }
]
```

### terms

#### 1224

##### term

1224

##### gpa

3.8506493506493507

##### count

154

##### university

###### size

1171

###### gpa Percentile

76

###### count Percentile

84

###### median Count

64

###### histogram

| range   | count | current |
| ------- | ----- | ------- |
| 0.0–0.4 | 0     | false   |
| 0.4–0.8 | 0     | false   |
| 0.8–1.2 | 0     | false   |
| 1.2–1.6 | 0     | false   |
| 1.6–2.0 | 0     | false   |
| 2.0–2.4 | 3     | false   |
| 2.4–2.8 | 21    | false   |
| 2.8–3.2 | 173   | false   |
| 3.2–3.6 | 358   | false   |
| 3.6–4.0 | 616   | true    |

##### departments

```json
[
  {
    "subject": "NUTRSCI",
    "comparison": {
      "size": 11,
      "gpaPercentile": 80,
      "countPercentile": 80,
      "medianCount": 69,
      "histogram": [
        {
          "range": "0.0–0.4",
          "count": 0,
          "current": false
        },
        {
          "range": "0.4–0.8",
          "count": 0,
          "current": false
        },
        {
          "range": "0.8–1.2",
          "count": 0,
          "current": false
        },
        {
          "range": "1.2–1.6",
          "count": 0,
          "current": false
        },
        {
          "range": "1.6–2.0",
          "count": 0,
          "current": false
        },
        {
          "range": "2.0–2.4",
          "count": 0,
          "current": false
        },
        {
          "range": "2.4–2.8",
          "count": 1,
          "current": false
        },
        {
          "range": "2.8–3.2",
          "count": 0,
          "current": false
        },
        {
          "range": "3.2–3.6",
          "count": 4,
          "current": false
        },
        {
          "range": "3.6–4.0",
          "count": 6,
          "current": true
        }
      ]
    }
  }
]
```

#### 1234

##### term

1234

##### gpa

3.778787878787879

##### count

165

##### university

###### size

1188

###### gpa Percentile

67

###### count Percentile

84

###### median Count

65

###### histogram

| range   | count | current |
| ------- | ----- | ------- |
| 0.0–0.4 | 0     | false   |
| 0.4–0.8 | 0     | false   |
| 0.8–1.2 | 0     | false   |
| 1.2–1.6 | 0     | false   |
| 1.6–2.0 | 0     | false   |
| 2.0–2.4 | 3     | false   |
| 2.4–2.8 | 17    | false   |
| 2.8–3.2 | 144   | false   |
| 3.2–3.6 | 374   | false   |
| 3.6–4.0 | 650   | true    |

##### departments

```json
[
  {
    "subject": "NUTRSCI",
    "comparison": {
      "size": 11,
      "gpaPercentile": 80,
      "countPercentile": 80,
      "medianCount": 66,
      "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": 1,
          "current": false
        },
        {
          "range": "2.4–2.8",
          "count": 0,
          "current": false
        },
        {
          "range": "2.8–3.2",
          "count": 2,
          "current": false
        },
        {
          "range": "3.2–3.6",
          "count": 2,
          "current": false
        },
        {
          "range": "3.6–4.0",
          "count": 6,
          "current": true
        }
      ]
    }
  }
]
```

#### 1244

##### term

1244

##### gpa

3.798994974874372

##### count

199

##### university

###### size

1241

###### gpa Percentile

68

###### count Percentile

88

###### median Count

65

###### histogram

| range   | count | current |
| ------- | ----- | ------- |
| 0.0–0.4 | 0     | false   |
| 0.4–0.8 | 0     | false   |
| 0.8–1.2 | 0     | false   |
| 1.2–1.6 | 0     | false   |
| 1.6–2.0 | 0     | false   |
| 2.0–2.4 | 2     | false   |
| 2.4–2.8 | 9     | false   |
| 2.8–3.2 | 151   | false   |
| 3.2–3.6 | 373   | false   |
| 3.6–4.0 | 706   | true    |

##### departments

```json
[
  {
    "subject": "NUTRSCI",
    "comparison": {
      "size": 14,
      "gpaPercentile": 69,
      "countPercentile": 85,
      "medianCount": 46.5,
      "histogram": [
        {
          "range": "0.0–0.4",
          "count": 0,
          "current": false
        },
        {
          "range": "0.4–0.8",
          "count": 0,
          "current": false
        },
        {
          "range": "0.8–1.2",
          "count": 0,
          "current": false
        },
        {
          "range": "1.2–1.6",
          "count": 0,
          "current": false
        },
        {
          "range": "1.6–2.0",
          "count": 0,
          "current": false
        },
        {
          "range": "2.0–2.4",
          "count": 0,
          "current": false
        },
        {
          "range": "2.4–2.8",
          "count": 0,
          "current": false
        },
        {
          "range": "2.8–3.2",
          "count": 2,
          "current": false
        },
        {
          "range": "3.2–3.6",
          "count": 4,
          "current": false
        },
        {
          "range": "3.6–4.0",
          "count": 8,
          "current": true
        }
      ]
    }
  }
]
```

#### 1254

##### term

1254

##### gpa

3.5880952380952382

##### count

210

##### university

###### size

1289

###### gpa Percentile

40

###### count Percentile

89

###### median Count

66

###### histogram

| range   | count | current |
| ------- | ----- | ------- |
| 0.0–0.4 | 0     | false   |
| 0.4–0.8 | 0     | false   |
| 0.8–1.2 | 0     | false   |
| 1.2–1.6 | 0     | false   |
| 1.6–2.0 | 0     | false   |
| 2.0–2.4 | 0     | false   |
| 2.4–2.8 | 17    | false   |
| 2.8–3.2 | 128   | false   |
| 3.2–3.6 | 379   | true    |
| 3.6–4.0 | 765   | false   |

##### departments

```json
[
  {
    "subject": "NUTRSCI",
    "comparison": {
      "size": 16,
      "gpaPercentile": 53,
      "countPercentile": 87,
      "medianCount": 47.5,
      "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": 7,
          "current": false
        }
      ]
    }
  }
]
```

#### 1264

##### term

1264

##### gpa

3.5347222222222223

##### count

216

##### university

###### size

1283

###### gpa Percentile

33

###### count Percentile

89

###### median Count

66

###### histogram

| range   | count | current |
| ------- | ----- | ------- |
| 0.0–0.4 | 0     | false   |
| 0.4–0.8 | 0     | false   |
| 0.8–1.2 | 0     | false   |
| 1.2–1.6 | 0     | false   |
| 1.6–2.0 | 0     | false   |
| 2.0–2.4 | 1     | false   |
| 2.4–2.8 | 20    | false   |
| 2.8–3.2 | 130   | false   |
| 3.2–3.6 | 343   | true    |
| 3.6–4.0 | 789   | false   |

##### departments

```json
[
  {
    "subject": "NUTRSCI",
    "comparison": {
      "size": 15,
      "gpaPercentile": 43,
      "countPercentile": 86,
      "medianCount": 44,
      "histogram": [
        {
          "range": "0.0–0.4",
          "count": 0,
          "current": false
        },
        {
          "range": "0.4–0.8",
          "count": 0,
          "current": false
        },
        {
          "range": "0.8–1.2",
          "count": 0,
          "current": false
        },
        {
          "range": "1.2–1.6",
          "count": 0,
          "current": false
        },
        {
          "range": "1.6–2.0",
          "count": 0,
          "current": false
        },
        {
          "range": "2.0–2.4",
          "count": 0,
          "current": false
        },
        {
          "range": "2.4–2.8",
          "count": 0,
          "current": false
        },
        {
          "range": "2.8–3.2",
          "count": 2,
          "current": false
        },
        {
          "range": "3.2–3.6",
          "count": 5,
          "current": true
        },
        {
          "range": "3.6–4.0",
          "count": 8,
          "current": false
        }
      ]
    }
  }
]
```

### benchmarks

#### all

##### school

###### size

2947

###### gpa

3.684503227431485

###### top Share

83.48969667841149

###### count

113

##### NUTRSCI

###### size

24

###### gpa

3.6126128219468785

###### top Share

77.71424222160164

###### count

164

#### terms

##### 1224

###### school

###### size

1171

###### gpa

3.5627882428500937

###### top Share

76.37271640560496

###### count

64

###### NUTRSCI

###### size

11

###### gpa

3.536653752183017

###### top Share

75.617738261236

###### count

69

##### 1234

###### school

###### size

1188

###### gpa

3.5799441677552393

###### top Share

77.18256448537606

###### count

65

###### NUTRSCI

###### size

11

###### gpa

3.445608341608225

###### top Share

70.51260427563781

###### count

66

##### 1244

###### school

###### size

1241

###### gpa

3.5975573126929192

###### top Share

78.29036874847135

###### count

65

###### NUTRSCI

###### size

14

###### gpa

3.5895016462484786

###### top Share

77.26895401868205

###### count

46.5

##### 1254

###### school

###### size

1289

###### gpa

3.6126423469389106

###### top Share

79.48050408754871

###### count

66

###### NUTRSCI

###### size

16

###### gpa

3.557900249081337

###### top Share

74.35826945459326

###### count

47.5

##### 1264

###### school

###### size

1283

###### gpa

3.6229729166451925

###### top Share

80.13669149396227

###### count

66

###### NUTRSCI

###### size

15

###### gpa

3.622323122323602

###### top Share

77.97150522138509

###### count

44

## instructor Trends

```json
[
  {
    "uid": "instructor_a4650c42f0ed42e41abe6e7b",
    "name": "KARA BRESNAHAN",
    "count": 625,
    "terms": [
      {
        "term": "1244",
        "count": 199,
        "sections": 1,
        "gpa": 3.798994974874372
      },
      {
        "term": "1254",
        "count": 210,
        "sections": 1,
        "gpa": 3.5880952380952382
      },
      {
        "term": "1264",
        "count": 216,
        "sections": 1,
        "gpa": 3.5347222222222223
      }
    ]
  },
  {
    "uid": "instructor_68045b3e68890ee68492af3b",
    "name": "CORINNE ENGELMAN",
    "count": 409,
    "terms": [
      {
        "term": "1244",
        "count": 199,
        "sections": 1,
        "gpa": 3.798994974874372
      },
      {
        "term": "1254",
        "count": 210,
        "sections": 1,
        "gpa": 3.5880952380952382
      }
    ]
  },
  {
    "uid": "instructor_8db8f4ab21c940451a8beb6d",
    "name": "DEVIKA SURI",
    "count": 319,
    "terms": [
      {
        "term": "1224",
        "count": 154,
        "sections": 1,
        "gpa": 3.8506493506493507
      },
      {
        "term": "1234",
        "count": 165,
        "sections": 1,
        "gpa": 3.778787878787879
      }
    ]
  },
  {
    "uid": "instructor_a89d0dfbcf7661bb50a4a028",
    "name": "PAUL PEPPARD",
    "count": 319,
    "terms": [
      {
        "term": "1224",
        "count": 154,
        "sections": 1,
        "gpa": 3.8506493506493507
      },
      {
        "term": "1234",
        "count": 165,
        "sections": 1,
        "gpa": 3.778787878787879
      }
    ]
  },
  {
    "uid": "instructor_fe38a7cd44fc22836b53fdb4",
    "name": "MORGAN RACE",
    "count": 199,
    "terms": [
      {
        "term": "1244",
        "count": 199,
        "sections": 1,
        "gpa": 3.798994974874372
      }
    ]
  }
]
```

## following

None recorded.

## projection

### target

1272

### gpa

3.673405689131181

### grades

| grade | percentage         |
| ----- | ------------------ |
| A     | 64.10169735294286  |
| AB    | 18.48270474881636  |
| B     | 10.285010093458569 |
| BC    | 3.989137834441219  |
| C     | 2.5260337790085527 |
| D     | 0.3643704559934926 |
| F     | 0.251045735338929  |

### source Terms

* 1264
* 1254
* 1244
* 1234
* 1224

### source Count

944

### same Season

false

### historical Range

* 3.5347222222222223
* 3.8506493506493507
