# ANSCI/DYSCI/NUTRSCI 311: Comparative Animal Nutrition | UW–Madison

[View on UW Courses](https://uwcourses.com/courses/ANSCI_DYSCI_NUTRSCI_311)

## Dataset

### revision

e243353dcb7d79b7247ced91d69443ef4c2a6349

### repository

twangodev/uwcourses

### schema version

6

### importer version

7

### projection id

52a78527ff09011d88cb04c7d43867d9fbfec2930bf1dd2ec359ebd2844e0b07

### observed at

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

### built at

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

### courses

8951

### current instructors

5754

### limited

false

### terms

* 1272
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### term

1272

### departments

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

## course

### run id

20260907T155543-ce3781c4

### semester

1272

### observed at

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

### record version id

48e1d7f02571b019caa6bf90bfe78d76ec99477303b46fd73ae810ca7faf7648

### course id

ANSCI/DYSCI/NUTRSCI 311

### course uid

course\_2ec34980f5763f12cad48552

### catalog version id

12d4d141fbc497fde141789b51d38dd6beb907cfd99fd66e8b45e9b5f6e30cb8

### course number

311

### subjects

* ANSCI
* DYSCI
* NUTRSCI

### title

COMPARATIVE ANIMAL NUTRITION

### description

Nutrients and their assimilation, function, and interactions that affect metabolism in mammals.  Differences among species will be used to emphasize unique digestive and physiological functions and how these differences affect metabolism of nutrients. Humans will be used in some comparisons. Follows physiological progression of nutrients, starting with an overview of the digestive tract followed by water and builds on specific roles of nutrients and substrates needed to provide basic processes required for maintenance, tissue accretion, and homeostatic regulation of nutrients.

### requirements text

CHEM 341,343, (BIOCHEM 301or concurrent enrollment), or (BIOCHEM 501or concurrent enrollment)

### credit offering ids

None recorded.

### llm job id

enrich-f516c4d3e82cfe326b4f5f54

### llm output id

6d3f0044898e021dcfb9ca19cdef7c4c584d5d96c75b32ea9eedd56e65820051

### llm model

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

### llm model revision

1355db6a052410cfd62085d94b58866fd0f2c3c5

### llm task version

14

### llm search status

valid

### llm summary

ANSCI/DYSCI/NUTRSCI 311 explores nutrient assimilation, function, and metabolic interactions in mammals, emphasizing comparative physiological differences.

### llm topics

* Digestive tract physiology and water metabolism
* Nutrient roles in maintenance, tissue accretion, and homeostasis
* Comparative species differences in digestion and physiology

### llm skills

* Understanding nutrient assimilation and metabolic function
* Analyzing comparative digestive and physiological functions
* Evaluating species-specific nutrient metabolism

### llm assumed background

* Foundational knowledge in biochemistry and organic chemistry, including molecular structure, bonding, and metabolic logic.

### llm search phrases

* comparative animal nutrition metabolism
* mammalian nutrient assimilation
* digestive physiology nutrition
* nutrient interactions metabolism

### llm requirements status

valid

### llm student summary status

valid

### llm experience status

valid

### catalog variants

None recorded.

### student summary

#### context hash

fc08fb76ebb85a551c66ccc72f585ec6060c93aa042e68982d416d583f501360

#### course id

ANSCI/DYSCI/NUTRSCI 311

#### current instructors

None recorded.

#### difficulty workload

Historical reviews of Louis Armentano, Thomas Crenshaw: Students report unfair exams and confusing teaching styles under Louis Armentano, who mixes whiteboard and PowerPoint instruction. Thomas Crenshaw's homework and quiz questions are described as oddly written and difficult to interpret, despite easy-to-understand lecture material.

```json
{
  "citations": [
    {
      "instructor_name": "Louis Armentano",
      "review_date": "2010-08-03 11:52:31 +0000 UTC",
      "review_id": "a1580add4b03f74e1433baae",
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      "source_instructor_id": "rmp:1030873",
      "source_review_id": "UmF0aW5nLTE3NDc1MjQz",
      "source_url": "https://www.ratemyprofessors.com/professor/1030873",
      "type": "review"
    },
    {
      "instructor_name": "Thomas Crenshaw",
      "review_date": "2022-06-28 18:58:11 +0000 UTC",
      "review_id": "cb64353ab43091b0910715dc",
      "run_id": "20260907T155543-ce3781c4",
      "source_instructor_id": "rmp:784253",
      "source_review_id": "UmF0aW5nLTM2NDkyODg4",
      "source_url": "https://www.ratemyprofessors.com/professor/784253",
      "type": "review"
    }
  ]
}
```

#### errors

None recorded.

#### historical context

Historical reviews of Thomas Crenshaw: Thomas Crenshaw is a knowledgeable instructor who offers one-on-one help, though his lectures can be monotone and off-topic. Reviewers note that while lecture material is understandable, homework and quiz questions are often confusingly written, and the course moves fast.

```json
{
  "citations": [
    {
      "instructor_name": "Thomas Crenshaw",
      "review_date": "2006-02-17 14:12:20 +0000 UTC",
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      "source_instructor_id": "rmp:784253",
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      "source_url": "https://www.ratemyprofessors.com/professor/784253",
      "type": "review"
    },
    {
      "instructor_name": "Thomas Crenshaw",
      "review_date": "2007-11-05 18:21:20 +0000 UTC",
      "review_id": "ca01009cdf115bd13da4f49a",
      "run_id": "20260907T155543-ce3781c4",
      "source_instructor_id": "rmp:784253",
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      "source_url": "https://www.ratemyprofessors.com/professor/784253",
      "type": "review"
    },
    {
      "instructor_name": "Thomas Crenshaw",
      "review_date": "2022-06-28 18:58:11 +0000 UTC",
      "review_id": "cb64353ab43091b0910715dc",
      "run_id": "20260907T155543-ce3781c4",
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    }
  ]
}
```

#### offered

false

#### profile hash

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#### quick take

Reviewers describe ANSCI 311 as a tough course with fast-paced information, yet manageable if students study old exams and quizzes. Historical reviews highlight that Louis Armentano's exams often recycle questions, while Thomas Crenshaw's material is dense but supported by one-on-one help.

```json
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  "citations": [
    {
      "instructor_name": "Thomas Crenshaw",
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      "run_id": "20260907T155543-ce3781c4",
      "source_instructor_id": "rmp:784253",
      "source_review_id": "UmF0aW5nLTEzNjAwNzA5",
      "source_url": "https://www.ratemyprofessors.com/professor/784253",
      "type": "review"
    },
    {
      "instructor_name": "Louis Armentano",
      "review_date": "2014-06-10 21:27:13 +0000 UTC",
      "review_id": "e4bc6860dcc20edb4f339f0a",
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      "source_url": "https://www.ratemyprofessors.com/professor/1030873",
      "type": "review"
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}
```

Recent recorded grades — Spring 2024: 2.91 GPA, 42.2% A/AB (n=45 letter grades); Spring 2025: 2.81 GPA, 35.7% A/AB (n=42 letter grades); Spring 2026: 3.09 GPA, 46.9% A/AB (n=64 letter grades).

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```

#### student experience

Historical reviews of Louis Armentano, Thomas Crenshaw: Thomas Crenshaw's lectures are criticized for being monotone and over-reliant on PowerPoint, making it hard to stay awake. Conversely, Louis Armentano is noted for being funny and drawing things out, though his lectures do not always follow the PowerPoint slides.

```json
{
  "citations": [
    {
      "instructor_name": "Thomas Crenshaw",
      "review_date": "2006-02-17 14:12:20 +0000 UTC",
      "review_id": "1c87b4046d883ff32fb88e36",
      "run_id": "20260907T155543-ce3781c4",
      "source_instructor_id": "rmp:784253",
      "source_review_id": "UmF0aW5nLTExNDkzNzMw",
      "source_url": "https://www.ratemyprofessors.com/professor/784253",
      "type": "review"
    },
    {
      "instructor_name": "Thomas Crenshaw",
      "review_date": "2007-11-05 18:21:20 +0000 UTC",
      "review_id": "ca01009cdf115bd13da4f49a",
      "run_id": "20260907T155543-ce3781c4",
      "source_instructor_id": "rmp:784253",
      "source_review_id": "UmF0aW5nLTEzNjAwNzA5",
      "source_url": "https://www.ratemyprofessors.com/professor/784253",
      "type": "review"
    },
    {
      "instructor_name": "Louis Armentano",
      "review_date": "2014-06-10 21:27:13 +0000 UTC",
      "review_id": "e4bc6860dcc20edb4f339f0a",
      "run_id": "20260907T155543-ce3781c4",
      "source_instructor_id": "rmp:1030873",
      "source_review_id": "UmF0aW5nLTIzMzYxODI0",
      "source_url": "https://www.ratemyprofessors.com/professor/1030873",
      "type": "review"
    }
  ]
}
```

#### task hash

74fb0997943e888960bbc9e47db8c4fd12e4292d55c20509d8d89db6a9910f68

#### teaching history

LOUIS ARMENTANO is recorded teaching in Spring 2007, Spring 2008, Spring 2009, Spring 2010, Spring 2011, Spring 2012, Spring 2013, Spring 2014, Spring 2015. Recorded history may be incomplete and does not establish a future schedule.

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      "source_record": {
        "entity_id": "41af0bd6-6bfc-38e5-898e-e4b5485900d7",
        "file": "tables/observations.parquet",
        "kind": "grades",
        "source": "madgrades"
      },
      "table": "section_grades_latest",
      "term_id": "1154",
      "type": "grade"
    }
  ]
}
```

THOMAS CRENSHAW is recorded teaching in Spring 2007, Spring 2008, Spring 2009, Spring 2010, Spring 2011, Spring 2012, Spring 2013, Spring 2014, Spring 2015, Spring 2016, Spring 2020, Spring 2022, Spring 2023, Spring 2024, Spring 2025. Recorded history may be incomplete and does not establish a future schedule.

```json
{
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      },
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      },
      "table": "section_grades_latest",
      "term_id": "1254",
      "type": "grade"
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}
```

#### term id

1272

#### term name

2026 Fall

#### version

2

### requirements

#### nodes

```json
[
  {
    "children": [
      "n1",
      "n2",
      "n3"
    ],
    "condition": null,
    "course": null,
    "evidence": "CHEM 341,343, (BIOCHEM 301or concurrent enrollment), or (BIOCHEM 501or concurrent enrollment)",
    "id": "n0",
    "kind": "all"
  },
  {
    "children": [],
    "condition": null,
    "course": {
      "course_number": 341,
      "minimum_grade": null,
      "subjects": [
        "CHEM"
      ],
      "timing": "prior"
    },
    "evidence": "CHEM 341",
    "id": "n1",
    "kind": "course"
  },
  {
    "children": [],
    "condition": null,
    "course": {
      "course_number": 343,
      "minimum_grade": null,
      "subjects": [
        "CHEM"
      ],
      "timing": "prior"
    },
    "evidence": "CHEM 341,343",
    "id": "n2",
    "kind": "course"
  },
  {
    "children": [
      "n4",
      "n5"
    ],
    "condition": null,
    "course": null,
    "evidence": "BIOCHEM 301or concurrent enrollment",
    "id": "n3",
    "kind": "any"
  },
  {
    "children": [],
    "condition": null,
    "course": {
      "course_number": 301,
      "minimum_grade": null,
      "subjects": [
        "BIOCHEM"
      ],
      "timing": "prior_or_concurrent"
    },
    "evidence": "BIOCHEM 301",
    "id": "n4",
    "kind": "course"
  },
  {
    "children": [],
    "condition": null,
    "course": {
      "course_number": 501,
      "minimum_grade": null,
      "subjects": [
        "BIOCHEM"
      ],
      "timing": "prior_or_concurrent"
    },
    "evidence": "BIOCHEM 501",
    "id": "n5",
    "kind": "course"
  }
]
```

#### notes

None recorded.

#### root

n0

#### status

parsed

### instructors

None recorded.

### offerings

None recorded.

### sections

None recorded.

### grade instructors

```json
[
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    "source": "madgrades",
    "source_instructor_id": "172036",
    "identity_basis": "source_id",
    "identity_status": "source_identified",
    "name": "LOUIS ARMENTANO",
    "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": 4,
      "quality": 3.75,
      "difficulty": 3.25,
      "quality_count": 4,
      "difficulty_count": 4,
      "profile_id": "rmp:1030873",
      "source_url": "https://www.ratemyprofessors.com/professor/1030873",
      "match_basis": "exact_name",
      "observed_at": "2026-09-07 16:22:44.923977+00:00",
      "courses": {
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      "prior_mean": 3.6596857835465957,
      "prior_weight": 20
    },
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      "counts": [
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        28,
        12
      ],
      "sections": 49
    },
    "instructor_url": "/instructors/LOUIS_ARMENTANO"
  },
  {
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    "source_instructor_id": "2601485",
    "identity_basis": "source_id",
    "identity_status": "source_identified",
    "name": "THOMAS CRENSHAW",
    "email": null,
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    "last_observed_at": "2026-09-07 15:55:43.033547+00:00",
    "ratings": {
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      "profile_id": "rmp:784253",
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      "match_basis": "exact_name",
      "observed_at": "2026-09-07 16:02:11.612969+00:00",
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    "instructor_url": "/instructors/THOMAS_CRENSHAW--instructor_7c1fdbd7ed95b5ab80ee1047"
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    "source": "madgrades",
    "source_instructor_id": "5191075",
    "identity_basis": "source_id",
    "identity_status": "source_identified",
    "name": "HEATHER WHITE",
    "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": 3.288,
      "graded": 368,
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    },
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    "source_instructor_id": "622032",
    "identity_basis": "source_id",
    "identity_status": "source_identified",
    "name": "DANIEL SCHAEFER",
    "email": null,
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      ],
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    },
    "instructor_url": "/instructors/DANIEL_SCHAEFER"
  },
  {
    "instructor_uid": "instructor_10bdf1948283855fa69caa22",
    "source": "madgrades",
    "source_instructor_id": "3023900",
    "identity_basis": "source_id",
    "identity_status": "source_identified",
    "name": "VANESSA LEONE",
    "email": null,
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    "last_observed_at": "2026-09-07 15:55:43.033547+00:00",
    "grade_statistics": {
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      "sections": 42
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  },
  {
    "instructor_uid": "instructor_c3ba16d15938d977878a9834",
    "source": "madgrades",
    "source_instructor_id": "6687841",
    "identity_basis": "source_id",
    "identity_status": "source_identified",
    "name": "YUN JIANG",
    "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": 3.541,
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      "counts": [
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        11,
        9,
        3,
        1
      ],
      "sections": 9
    },
    "instructor_url": "/instructors/YUN_JIANG--instructor_c3ba16d15938d977878a9834"
  }
]
```

### grades

```json
[
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    "observed_at": "2026-09-07 15:55:43.033547+00:00",
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    "course_uid": "course_2ec34980f5763f12cad48552",
    "term_id": "1074",
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    "instructors": [
      "LOUIS ARMENTANO",
      "THOMAS CRENSHAW"
    ],
    "a": 16,
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    "b": 16,
    "bc": 13,
    "c": 8,
    "d": 6,
    "f": 1,
    "satisfactory": 0,
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    "course_uid": "course_2ec34980f5763f12cad48552",
    "term_id": "1084",
    "term_name": "Spring 2008",
    "instructors": [
      "LOUIS ARMENTANO",
      "THOMAS CRENSHAW"
    ],
    "a": 25,
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    "c": 6,
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    "term_id": "1094",
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  },
  {
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    "term_id": "1104",
    "term_name": "Spring 2010",
    "instructors": [
      "LOUIS ARMENTANO",
      "THOMAS CRENSHAW"
    ],
    "a": 20,
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    "total": 83,
    "source_aliases": [
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  },
  {
    "run_id": "20260907T155543-ce3781c4",
    "semester": "1272",
    "observed_at": "2026-09-07 15:55:43.033547+00:00",
    "course_id": "ANSCI/DYSCI/NUTRSCI 311",
    "course_uid": "course_2ec34980f5763f12cad48552",
    "term_id": "1114",
    "term_name": "Spring 2011",
    "instructors": [
      "LOUIS ARMENTANO",
      "THOMAS CRENSHAW"
    ],
    "a": 21,
    "ab": 30,
    "b": 10,
    "bc": 13,
    "c": 7,
    "d": 4,
    "f": 0,
    "satisfactory": 0,
    "unsatisfactory": 0,
    "credit": 0,
    "no_credit": 0,
    "passed": 0,
    "incomplete": 0,
    "no_work": 0,
    "not_reported": 0,
    "other": 0,
    "total": 85,
    "source_aliases": [
      "ANSCI/DYSCI/NUTRSCI 311"
    ]
  },
  {
    "run_id": "20260907T155543-ce3781c4",
    "semester": "1272",
    "observed_at": "2026-09-07 15:55:43.033547+00:00",
    "course_id": "ANSCI/DYSCI/NUTRSCI 311",
    "course_uid": "course_2ec34980f5763f12cad48552",
    "term_id": "1124",
    "term_name": "Spring 2012",
    "instructors": [
      "LOUIS ARMENTANO",
      "THOMAS CRENSHAW"
    ],
    "a": 11,
    "ab": 17,
    "b": 14,
    "bc": 10,
    "c": 7,
    "d": 1,
    "f": 3,
    "satisfactory": 0,
    "unsatisfactory": 0,
    "credit": 0,
    "no_credit": 0,
    "passed": 0,
    "incomplete": 0,
    "no_work": 0,
    "not_reported": 0,
    "other": 0,
    "total": 63,
    "source_aliases": [
      "ANSCI/DYSCI/NUTRSCI 311"
    ]
  },
  {
    "run_id": "20260907T155543-ce3781c4",
    "semester": "1272",
    "observed_at": "2026-09-07 15:55:43.033547+00:00",
    "course_id": "ANSCI/DYSCI/NUTRSCI 311",
    "course_uid": "course_2ec34980f5763f12cad48552",
    "term_id": "1134",
    "term_name": "Spring 2013",
    "instructors": [
      "LOUIS ARMENTANO",
      "THOMAS CRENSHAW"
    ],
    "a": 17,
    "ab": 25,
    "b": 14,
    "bc": 10,
    "c": 5,
    "d": 3,
    "f": 2,
    "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": [
      "ANSCI/DYSCI/NUTRSCI 311"
    ]
  },
  {
    "run_id": "20260907T155543-ce3781c4",
    "semester": "1272",
    "observed_at": "2026-09-07 15:55:43.033547+00:00",
    "course_id": "ANSCI/DYSCI/NUTRSCI 311",
    "course_uid": "course_2ec34980f5763f12cad48552",
    "term_id": "1144",
    "term_name": "Spring 2014",
    "instructors": [
      "LOUIS ARMENTANO",
      "THOMAS CRENSHAW"
    ],
    "a": 11,
    "ab": 13,
    "b": 22,
    "bc": 10,
    "c": 19,
    "d": 8,
    "f": 1,
    "satisfactory": 0,
    "unsatisfactory": 0,
    "credit": 0,
    "no_credit": 0,
    "passed": 0,
    "incomplete": 0,
    "no_work": 0,
    "not_reported": 0,
    "other": 0,
    "total": 84,
    "source_aliases": [
      "ANSCI/DYSCI/NUTRSCI 311"
    ]
  },
  {
    "run_id": "20260907T155543-ce3781c4",
    "semester": "1272",
    "observed_at": "2026-09-07 15:55:43.033547+00:00",
    "course_id": "ANSCI/DYSCI/NUTRSCI 311",
    "course_uid": "course_2ec34980f5763f12cad48552",
    "term_id": "1154",
    "term_name": "Spring 2015",
    "instructors": [
      "LOUIS ARMENTANO",
      "THOMAS CRENSHAW"
    ],
    "a": 32,
    "ab": 15,
    "b": 25,
    "bc": 7,
    "c": 8,
    "d": 1,
    "f": 1,
    "satisfactory": 0,
    "unsatisfactory": 0,
    "credit": 0,
    "no_credit": 0,
    "passed": 0,
    "incomplete": 0,
    "no_work": 1,
    "not_reported": 0,
    "other": 0,
    "total": 90,
    "source_aliases": [
      "ANSCI/DYSCI/NUTRSCI 311"
    ]
  },
  {
    "run_id": "20260907T155543-ce3781c4",
    "semester": "1272",
    "observed_at": "2026-09-07 15:55:43.033547+00:00",
    "course_id": "ANSCI/DYSCI/NUTRSCI 311",
    "course_uid": "course_2ec34980f5763f12cad48552",
    "term_id": "1164",
    "term_name": "Spring 2016",
    "instructors": [
      "Heather White",
      "THOMAS CRENSHAW"
    ],
    "a": 18,
    "ab": 6,
    "b": 9,
    "bc": 14,
    "c": 5,
    "d": 0,
    "f": 2,
    "satisfactory": 0,
    "unsatisfactory": 0,
    "credit": 0,
    "no_credit": 0,
    "passed": 0,
    "incomplete": 0,
    "no_work": 0,
    "not_reported": 0,
    "other": 0,
    "total": 54,
    "source_aliases": [
      "ANSCI/DYSCI/NUTRSCI 311"
    ]
  },
  {
    "run_id": "20260907T155543-ce3781c4",
    "semester": "1272",
    "observed_at": "2026-09-07 15:55:43.033547+00:00",
    "course_id": "ANSCI/DYSCI/NUTRSCI 311",
    "course_uid": "course_2ec34980f5763f12cad48552",
    "term_id": "1174",
    "term_name": "Spring 2017",
    "instructors": [
      "DANIEL SCHAEFER",
      "Heather White"
    ],
    "a": 11,
    "ab": 16,
    "b": 15,
    "bc": 14,
    "c": 7,
    "d": 5,
    "f": 0,
    "satisfactory": 0,
    "unsatisfactory": 0,
    "credit": 0,
    "no_credit": 0,
    "passed": 0,
    "incomplete": 0,
    "no_work": 0,
    "not_reported": 0,
    "other": 0,
    "total": 68,
    "source_aliases": [
      "ANSCI/DYSCI/NUTRSCI 311"
    ]
  },
  {
    "run_id": "20260907T155543-ce3781c4",
    "semester": "1272",
    "observed_at": "2026-09-07 15:55:43.033547+00:00",
    "course_id": "ANSCI/DYSCI/NUTRSCI 311",
    "course_uid": "course_2ec34980f5763f12cad48552",
    "term_id": "1184",
    "term_name": "Spring 2018",
    "instructors": [
      "Heather White"
    ],
    "a": 15,
    "ab": 5,
    "b": 9,
    "bc": 10,
    "c": 10,
    "d": 8,
    "f": 1,
    "satisfactory": 1,
    "unsatisfactory": 0,
    "credit": 0,
    "no_credit": 0,
    "passed": 0,
    "incomplete": 0,
    "no_work": 0,
    "not_reported": 0,
    "other": 0,
    "total": 59,
    "source_aliases": [
      "ANSCI/DYSCI/NUTRSCI 311"
    ]
  },
  {
    "run_id": "20260907T155543-ce3781c4",
    "semester": "1272",
    "observed_at": "2026-09-07 15:55:43.033547+00:00",
    "course_id": "ANSCI/DYSCI/NUTRSCI 311",
    "course_uid": "course_2ec34980f5763f12cad48552",
    "term_id": "1194",
    "term_name": "Spring 2019",
    "instructors": [
      "Heather White"
    ],
    "a": 14,
    "ab": 14,
    "b": 16,
    "bc": 7,
    "c": 9,
    "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": 61,
    "source_aliases": [
      "ANSCI/DYSCI/NUTRSCI 311"
    ]
  },
  {
    "run_id": "20260907T155543-ce3781c4",
    "semester": "1272",
    "observed_at": "2026-09-07 15:55:43.033547+00:00",
    "course_id": "ANSCI/DYSCI/NUTRSCI 311",
    "course_uid": "course_2ec34980f5763f12cad48552",
    "term_id": "1204",
    "term_name": "Spring 2020",
    "instructors": [
      "THOMAS CRENSHAW"
    ],
    "a": 9,
    "ab": 10,
    "b": 13,
    "bc": 10,
    "c": 2,
    "d": 3,
    "f": 0,
    "satisfactory": 7,
    "unsatisfactory": 1,
    "credit": 0,
    "no_credit": 0,
    "passed": 0,
    "incomplete": 0,
    "no_work": 0,
    "not_reported": 0,
    "other": 0,
    "total": 55,
    "source_aliases": [
      "ANSCI/DYSCI/NUTRSCI 311"
    ]
  },
  {
    "run_id": "20260907T155543-ce3781c4",
    "semester": "1272",
    "observed_at": "2026-09-07 15:55:43.033547+00:00",
    "course_id": "ANSCI/DYSCI/NUTRSCI 311",
    "course_uid": "course_2ec34980f5763f12cad48552",
    "term_id": "1224",
    "term_name": "Spring 2022",
    "instructors": [
      "THOMAS CRENSHAW",
      "Vanessa Leone"
    ],
    "a": 8,
    "ab": 6,
    "b": 8,
    "bc": 11,
    "c": 8,
    "d": 5,
    "f": 0,
    "satisfactory": 0,
    "unsatisfactory": 0,
    "credit": 0,
    "no_credit": 0,
    "passed": 0,
    "incomplete": 1,
    "no_work": 0,
    "not_reported": 0,
    "other": 0,
    "total": 47,
    "source_aliases": [
      "ANSCI/DYSCI/NUTRSCI 311"
    ]
  },
  {
    "run_id": "20260907T155543-ce3781c4",
    "semester": "1272",
    "observed_at": "2026-09-07 15:55:43.033547+00:00",
    "course_id": "ANSCI/DYSCI/NUTRSCI 311",
    "course_uid": "course_2ec34980f5763f12cad48552",
    "term_id": "1234",
    "term_name": "Spring 2023",
    "instructors": [
      "THOMAS CRENSHAW",
      "Vanessa Leone"
    ],
    "a": 6,
    "ab": 3,
    "b": 9,
    "bc": 8,
    "c": 10,
    "d": 6,
    "f": 3,
    "satisfactory": 0,
    "unsatisfactory": 0,
    "credit": 0,
    "no_credit": 0,
    "passed": 0,
    "incomplete": 0,
    "no_work": 0,
    "not_reported": 0,
    "other": 0,
    "total": 45,
    "source_aliases": [
      "ANSCI/DYSCI/NUTRSCI 311"
    ]
  },
  {
    "run_id": "20260907T155543-ce3781c4",
    "semester": "1272",
    "observed_at": "2026-09-07 15:55:43.033547+00:00",
    "course_id": "ANSCI/DYSCI/NUTRSCI 311",
    "course_uid": "course_2ec34980f5763f12cad48552",
    "term_id": "1244",
    "term_name": "Spring 2024",
    "instructors": [
      "THOMAS CRENSHAW",
      "Vanessa Leone"
    ],
    "a": 9,
    "ab": 10,
    "b": 7,
    "bc": 10,
    "c": 5,
    "d": 4,
    "f": 0,
    "satisfactory": 1,
    "unsatisfactory": 0,
    "credit": 0,
    "no_credit": 0,
    "passed": 0,
    "incomplete": 0,
    "no_work": 0,
    "not_reported": 0,
    "other": 0,
    "total": 46,
    "source_aliases": [
      "ANSCI/DYSCI/NUTRSCI 311"
    ]
  },
  {
    "run_id": "20260907T155543-ce3781c4",
    "semester": "1272",
    "observed_at": "2026-09-07 15:55:43.033547+00:00",
    "course_id": "ANSCI/DYSCI/NUTRSCI 311",
    "course_uid": "course_2ec34980f5763f12cad48552",
    "term_id": "1254",
    "term_name": "Spring 2025",
    "instructors": [
      "THOMAS CRENSHAW",
      "Vanessa Leone"
    ],
    "a": 9,
    "ab": 6,
    "b": 10,
    "bc": 6,
    "c": 6,
    "d": 4,
    "f": 1,
    "satisfactory": 0,
    "unsatisfactory": 0,
    "credit": 0,
    "no_credit": 0,
    "passed": 0,
    "incomplete": 0,
    "no_work": 0,
    "not_reported": 0,
    "other": 0,
    "total": 42,
    "source_aliases": [
      "ANSCI/DYSCI/NUTRSCI 311"
    ]
  },
  {
    "run_id": "20260907T155543-ce3781c4",
    "semester": "1272",
    "observed_at": "2026-09-07 15:55:43.033547+00:00",
    "course_id": "ANSCI/DYSCI/NUTRSCI 311",
    "course_uid": "course_2ec34980f5763f12cad48552",
    "term_id": "1264",
    "term_name": "Spring 2026",
    "instructors": [
      "Vanessa Leone",
      "Yun Jiang"
    ],
    "a": 19,
    "ab": 11,
    "b": 13,
    "bc": 11,
    "c": 7,
    "d": 3,
    "f": 0,
    "satisfactory": 0,
    "unsatisfactory": 0,
    "credit": 0,
    "no_credit": 0,
    "passed": 0,
    "incomplete": 0,
    "no_work": 0,
    "not_reported": 0,
    "other": 0,
    "total": 64,
    "source_aliases": [
      "ANSCI/DYSCI/NUTRSCI 311"
    ]
  }
]
```

### statistics

#### gpa

2.974

#### graded

1234

#### counts

* 290
* 250
* 252
* 201
* 155
* 67
* 19

### grade conflicts

None recorded.

### evidence

#### history

* [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course\_2ec34980f5763f12cad48552-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course_2ec34980f5763f12cad48552-0.json)

#### traces

* [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course\_2ec34980f5763f12cad48552-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course_2ec34980f5763f12cad48552-0.json)

#### reviews

* [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/reviews/course\_2ec34980f5763f12cad48552-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/reviews/course_2ec34980f5763f12cad48552-0.json)

#### results

* [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course\_2ec34980f5763f12cad48552-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course_2ec34980f5763f12cad48552-0.json)

### revision

e243353dcb7d79b7247ced91d69443ef4c2a6349

## context

### all

#### term



#### gpa

2.9744732576985413

#### count

1234

#### university

##### size

4298

##### gpa Percentile

2

##### count Percentile

90

##### median Count

170

##### 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 | 12    | false   |
| 2.8–3.2 | 316   | true    |
| 3.2–3.6 | 1235  | false   |
| 3.6–4.0 | 2735  | false   |

#### departments

```json
[
  {
    "subject": "ANSCI",
    "comparison": {
      "size": 22,
      "gpaPercentile": 5,
      "countPercentile": 95,
      "medianCount": 283.5,
      "histogram": [
        {
          "range": "0.0–0.4",
          "count": 0,
          "current": false
        },
        {
          "range": "0.4–0.8",
          "count": 0,
          "current": false
        },
        {
          "range": "0.8–1.2",
          "count": 0,
          "current": false
        },
        {
          "range": "1.2–1.6",
          "count": 0,
          "current": false
        },
        {
          "range": "1.6–2.0",
          "count": 0,
          "current": false
        },
        {
          "range": "2.0–2.4",
          "count": 0,
          "current": false
        },
        {
          "range": "2.4–2.8",
          "count": 0,
          "current": false
        },
        {
          "range": "2.8–3.2",
          "count": 7,
          "current": true
        },
        {
          "range": "3.2–3.6",
          "count": 5,
          "current": false
        },
        {
          "range": "3.6–4.0",
          "count": 10,
          "current": false
        }
      ]
    }
  },
  {
    "subject": "DYSCI",
    "comparison": {
      "size": 14,
      "gpaPercentile": 0,
      "countPercentile": 100,
      "medianCount": 290.5,
      "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": 3,
          "current": true
        },
        {
          "range": "3.2–3.6",
          "count": 2,
          "current": false
        },
        {
          "range": "3.6–4.0",
          "count": 9,
          "current": false
        }
      ]
    }
  },
  {
    "subject": "NUTRSCI",
    "comparison": {
      "size": 32,
      "gpaPercentile": 0,
      "countPercentile": 87,
      "medianCount": 170,
      "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": true
        },
        {
          "range": "3.2–3.6",
          "count": 7,
          "current": false
        },
        {
          "range": "3.6–4.0",
          "count": 21,
          "current": false
        }
      ]
    }
  }
]
```

### terms

#### 1074

##### term

1074

##### gpa

2.904109589041096

##### count

73

##### university

###### size

695

###### gpa Percentile

13

###### count Percentile

52

###### 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 | 3     | false   |
| 2.4–2.8 | 53    | false   |
| 2.8–3.2 | 184   | true    |
| 3.2–3.6 | 256   | false   |
| 3.6–4.0 | 199   | false   |

##### departments

| subject | comparison |
| ------- | ---------- |
| ANSCI   |            |
| DYSCI   |            |
| NUTRSCI |            |

#### 1084

##### term

1084

##### gpa

3.1769230769230767

##### count

65

##### university

###### size

720

###### gpa Percentile

34

###### count Percentile

45

###### 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 | 45    | false   |
| 2.8–3.2 | 207   | true    |
| 3.2–3.6 | 248   | false   |
| 3.6–4.0 | 217   | false   |

##### departments

| subject | comparison |
| ------- | ---------- |
| ANSCI   |            |
| DYSCI   |            |
| NUTRSCI |            |

#### 1094

##### term

1094

##### gpa

3

##### count

86

##### university

###### size

758

###### gpa Percentile

16

###### count Percentile

62

###### median Count

71

###### 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 | 35    | false   |
| 2.8–3.2 | 226   | true    |
| 3.2–3.6 | 259   | false   |
| 3.6–4.0 | 236   | false   |

##### departments

| subject | comparison |
| ------- | ---------- |
| ANSCI   |            |
| DYSCI   |            |
| NUTRSCI |            |

#### 1104

##### term

1104

##### gpa

3.0602409638554215

##### count

83

##### university

###### size

793

###### gpa Percentile

21

###### count Percentile

61

###### 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 | 4     | false   |
| 2.4–2.8 | 49    | false   |
| 2.8–3.2 | 205   | true    |
| 3.2–3.6 | 294   | false   |
| 3.6–4.0 | 241   | false   |

##### departments

| subject | comparison |
| ------- | ---------- |
| ANSCI   |            |
| DYSCI   |            |
| NUTRSCI |            |

#### 1114

##### term

1114

##### gpa

3.1705882352941175

##### count

85

##### university

###### size

804

###### gpa Percentile

32

###### count Percentile

62

###### median Count

68

###### histogram

| range   | count | current |
| ------- | ----- | ------- |
| 0.0–0.4 | 0     | false   |
| 0.4–0.8 | 0     | false   |
| 0.8–1.2 | 0     | false   |
| 1.2–1.6 | 0     | false   |
| 1.6–2.0 | 0     | false   |
| 2.0–2.4 | 1     | false   |
| 2.4–2.8 | 53    | false   |
| 2.8–3.2 | 231   | true    |
| 3.2–3.6 | 292   | false   |
| 3.6–4.0 | 227   | false   |

##### departments

| subject | comparison |
| ------- | ---------- |
| ANSCI   |            |
| DYSCI   |            |
| NUTRSCI |            |

#### 1124

##### term

1124

##### gpa

2.9444444444444446

##### count

63

##### university

###### size

821

###### gpa Percentile

14

###### count Percentile

47

###### median Count

67

###### histogram

| range   | count | current |
| ------- | ----- | ------- |
| 0.0–0.4 | 0     | false   |
| 0.4–0.8 | 0     | false   |
| 0.8–1.2 | 0     | false   |
| 1.2–1.6 | 0     | false   |
| 1.6–2.0 | 0     | false   |
| 2.0–2.4 | 1     | false   |
| 2.4–2.8 | 39    | false   |
| 2.8–3.2 | 223   | true    |
| 3.2–3.6 | 278   | false   |
| 3.6–4.0 | 280   | false   |

##### departments

| subject | comparison |
| ------- | ---------- |
| ANSCI   |            |
| DYSCI   |            |
| NUTRSCI |            |

#### 1134

##### term

1134

##### gpa

3.098684210526316

##### count

76

##### university

###### size

852

###### gpa Percentile

22

###### count Percentile

57

###### 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 | 2     | false   |
| 2.4–2.8 | 30    | false   |
| 2.8–3.2 | 229   | true    |
| 3.2–3.6 | 304   | false   |
| 3.6–4.0 | 287   | false   |

##### departments

| subject | comparison |
| ------- | ---------- |
| ANSCI   |            |
| DYSCI   |            |
| NUTRSCI |            |

#### 1144

##### term

1144

##### gpa

2.6964285714285716

##### count

84

##### university

###### size

878

###### gpa Percentile

2

###### count Percentile

62

###### 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 | 4     | false   |
| 2.4–2.8 | 30    | true    |
| 2.8–3.2 | 243   | false   |
| 3.2–3.6 | 302   | false   |
| 3.6–4.0 | 299   | false   |

##### departments

| subject | comparison |
| ------- | ---------- |
| ANSCI   |            |
| DYSCI   |            |
| NUTRSCI |            |

#### 1154

##### term

1154

##### gpa

3.258426966292135

##### count

89

##### university

###### size

935

###### gpa Percentile

34

###### count Percentile

65

###### median Count

63

###### 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 | 38    | false   |
| 2.8–3.2 | 237   | false   |
| 3.2–3.6 | 326   | true    |
| 3.6–4.0 | 334   | false   |

##### departments

```json
[
  {
    "subject": "ANSCI",
    "comparison": {
      "size": 10,
      "gpaPercentile": 67,
      "countPercentile": 89,
      "medianCount": 45,
      "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": 1,
          "current": false
        }
      ]
    }
  },
  {
    "subject": "DYSCI",
    "comparison": null
  },
  {
    "subject": "NUTRSCI",
    "comparison": null
  }
]
```

#### 1164

##### term

1164

##### gpa

3.0555555555555554

##### count

54

##### university

###### size

965

###### gpa Percentile

14

###### count Percentile

39

###### median Count

68

###### histogram

| range   | count | current |
| ------- | ----- | ------- |
| 0.0–0.4 | 0     | false   |
| 0.4–0.8 | 0     | false   |
| 0.8–1.2 | 0     | false   |
| 1.2–1.6 | 0     | false   |
| 1.6–2.0 | 0     | false   |
| 2.0–2.4 | 3     | false   |
| 2.4–2.8 | 37    | false   |
| 2.8–3.2 | 216   | true    |
| 3.2–3.6 | 319   | false   |
| 3.6–4.0 | 390   | false   |

##### departments

| subject | comparison |
| ------- | ---------- |
| ANSCI   |            |
| DYSCI   |            |
| NUTRSCI |            |

#### 1174

##### term

1174

##### gpa

2.926470588235294

##### count

68

##### university

###### size

955

###### gpa Percentile

7

###### count Percentile

49

###### 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 | 29    | false   |
| 2.8–3.2 | 224   | true    |
| 3.2–3.6 | 332   | false   |
| 3.6–4.0 | 369   | false   |

##### departments

| subject | comparison |
| ------- | ---------- |
| ANSCI   |            |
| DYSCI   |            |
| NUTRSCI |            |

#### 1184

##### term

1184

##### gpa

2.7155172413793105

##### count

58

##### university

###### size

1010

###### gpa Percentile

1

###### count Percentile

43

###### median Count

68

###### histogram

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

##### departments

| subject | comparison |
| ------- | ---------- |
| ANSCI   |            |
| DYSCI   |            |
| NUTRSCI |            |

#### 1194

##### term

1194

##### gpa

3.1065573770491803

##### count

61

##### university

###### size

1040

###### gpa Percentile

18

###### count Percentile

44

###### median Count

67

###### histogram

| range   | count | current |
| ------- | ----- | ------- |
| 0.0–0.4 | 0     | false   |
| 0.4–0.8 | 0     | false   |
| 0.8–1.2 | 0     | false   |
| 1.2–1.6 | 0     | false   |
| 1.6–2.0 | 0     | false   |
| 2.0–2.4 | 1     | false   |
| 2.4–2.8 | 23    | false   |
| 2.8–3.2 | 220   | true    |
| 3.2–3.6 | 342   | false   |
| 3.6–4.0 | 454   | false   |

##### departments

| subject | comparison |
| ------- | ---------- |
| ANSCI   |            |
| DYSCI   |            |
| NUTRSCI |            |

#### 1204

##### term

1204

##### gpa

3.021276595744681

##### count

47

##### university

###### size

1012

###### gpa Percentile

0

###### count Percentile

33

###### median Count

65.5

###### 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 | 0     | false   |
| 2.4–2.8 | 1     | false   |
| 2.8–3.2 | 25    | true    |
| 3.2–3.6 | 301   | false   |
| 3.6–4.0 | 685   | false   |

##### departments

| subject | comparison |
| ------- | ---------- |
| ANSCI   |            |
| DYSCI   |            |
| NUTRSCI |            |

#### 1224

##### term

1224

##### gpa

2.7282608695652173

##### count

46

##### university

###### size

1171

###### gpa Percentile

1

###### count Percentile

31

###### 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    | true    |
| 2.8–3.2 | 173   | false   |
| 3.2–3.6 | 358   | false   |
| 3.6–4.0 | 616   | false   |

##### departments

```json
[
  {
    "subject": "ANSCI",
    "comparison": null
  },
  {
    "subject": "DYSCI",
    "comparison": null
  },
  {
    "subject": "NUTRSCI",
    "comparison": {
      "size": 11,
      "gpaPercentile": 0,
      "countPercentile": 30,
      "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": true
        },
        {
          "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": false
        }
      ]
    }
  }
]
```

#### 1234

##### term

1234

##### gpa

2.388888888888889

##### count

45

##### university

###### size

1188

###### gpa Percentile

0

###### count Percentile

30

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

##### departments

```json
[
  {
    "subject": "ANSCI",
    "comparison": null
  },
  {
    "subject": "DYSCI",
    "comparison": null
  },
  {
    "subject": "NUTRSCI",
    "comparison": {
      "size": 11,
      "gpaPercentile": 0,
      "countPercentile": 20,
      "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": true
        },
        {
          "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": false
        }
      ]
    }
  }
]
```

#### 1244

##### term

1244

##### gpa

2.911111111111111

##### count

45

##### university

###### size

1241

###### gpa Percentile

2

###### count Percentile

29

###### 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   | true    |
| 3.2–3.6 | 373   | false   |
| 3.6–4.0 | 706   | false   |

##### departments

```json
[
  {
    "subject": "ANSCI",
    "comparison": null
  },
  {
    "subject": "DYSCI",
    "comparison": null
  },
  {
    "subject": "NUTRSCI",
    "comparison": {
      "size": 14,
      "gpaPercentile": 0,
      "countPercentile": 38,
      "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": true
        },
        {
          "range": "3.2–3.6",
          "count": 4,
          "current": false
        },
        {
          "range": "3.6–4.0",
          "count": 8,
          "current": false
        }
      ]
    }
  }
]
```

#### 1254

##### term

1254

##### gpa

2.8095238095238093

##### count

42

##### university

###### size

1289

###### gpa Percentile

1

###### count Percentile

24

###### 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   | true    |
| 3.2–3.6 | 379   | false   |
| 3.6–4.0 | 765   | false   |

##### departments

```json
[
  {
    "subject": "ANSCI",
    "comparison": null
  },
  {
    "subject": "DYSCI",
    "comparison": null
  },
  {
    "subject": "NUTRSCI",
    "comparison": {
      "size": 16,
      "gpaPercentile": 0,
      "countPercentile": 20,
      "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": true
        },
        {
          "range": "3.2–3.6",
          "count": 5,
          "current": false
        },
        {
          "range": "3.6–4.0",
          "count": 7,
          "current": false
        }
      ]
    }
  }
]
```

#### 1264

##### term

1264

##### gpa

3.09375

##### count

64

##### university

###### size

1283

###### gpa Percentile

8

###### count Percentile

47

###### 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   | true    |
| 3.2–3.6 | 343   | false   |
| 3.6–4.0 | 789   | false   |

##### departments

```json
[
  {
    "subject": "ANSCI",
    "comparison": {
      "size": 11,
      "gpaPercentile": 20,
      "countPercentile": 40,
      "medianCount": 68,
      "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": true
        },
        {
          "range": "3.2–3.6",
          "count": 4,
          "current": false
        },
        {
          "range": "3.6–4.0",
          "count": 4,
          "current": false
        }
      ]
    }
  },
  {
    "subject": "DYSCI",
    "comparison": null
  },
  {
    "subject": "NUTRSCI",
    "comparison": {
      "size": 15,
      "gpaPercentile": 0,
      "countPercentile": 57,
      "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": true
        },
        {
          "range": "3.2–3.6",
          "count": 5,
          "current": false
        },
        {
          "range": "3.6–4.0",
          "count": 8,
          "current": false
        }
      ]
    }
  }
]
```

### benchmarks

#### all

##### school

###### size

4298

###### gpa

3.6599169512129595

###### top Share

81.92066096643725

###### count

170

##### ANSCI

###### size

22

###### gpa

3.5001377797077833

###### top Share

71.01003984860633

###### count

283.5

##### DYSCI

###### size

14

###### gpa

3.6367351353760853

###### top Share

79.0375155520235

###### count

290.5

##### NUTRSCI

###### size

32

###### gpa

3.6422665607855937

###### top Share

79.4737250465603

###### count

170

#### terms

##### 1074

###### school

###### size

695

###### gpa

3.3616924722887376

###### top Share

63.22509110105764

###### count

69

##### 1084

###### school

###### size

720

###### gpa

3.3670742938849725

###### top Share

63.42064564712246

###### count

70

##### 1094

###### school

###### size

758

###### gpa

3.3891454428111527

###### top Share

64.36369814389255

###### count

71

##### 1104

###### school

###### size

793

###### gpa

3.384661458923085

###### top Share

64.6614752434143

###### count

66

##### 1114

###### school

###### size

804

###### gpa

3.3696004653806844

###### top Share

64.0389334741844

###### count

68

##### 1124

###### school

###### size

821

###### gpa

3.406589342026613

###### top Share

66.35774230127205

###### count

67

##### 1134

###### school

###### size

852

###### gpa

3.4138934207568203

###### top Share

66.35946578182744

###### count

66

##### 1144

###### school

###### size

878

###### gpa

3.4092443327803017

###### top Share

65.95978235963416

###### count

64

##### 1154

###### school

###### size

935

###### gpa

3.4282378385810093

###### top Share

67.66674668721691

###### count

63

###### ANSCI

###### size

10

###### gpa

3.2565775374299597

###### top Share

53.35870850061716

###### count

45

##### 1164

###### school

###### size

965

###### gpa

3.46491230798535

###### top Share

69.92376287143657

###### count

68

##### 1174

###### school

###### size

955

###### gpa

3.4597947384071412

###### top Share

69.5290038366363

###### count

69

##### 1184

###### school

###### size

1010

###### gpa

3.47925290354517

###### top Share

70.86270937115944

###### count

68

##### 1194

###### school

###### size

1040

###### gpa

3.4906527436719808

###### top Share

71.74728845515045

###### count

67

##### 1204

###### school

###### size

1012

###### gpa

3.703747431523761

###### top Share

84.59811226304916

###### count

65.5

##### 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

###### ANSCI

###### size

11

###### gpa

3.4872599039104415

###### top Share

69.71753566211373

###### count

68

###### NUTRSCI

###### size

15

###### gpa

3.622323122323602

###### top Share

77.97150522138509

###### count

44

## instructor Trends

```json
[
  {
    "uid": "instructor_7c1fdbd7ed95b5ab80ee1047",
    "name": "THOMAS CRENSHAW",
    "count": 983,
    "terms": [
      {
        "term": "1074",
        "count": 73,
        "sections": 1,
        "gpa": 2.904109589041096
      },
      {
        "term": "1084",
        "count": 65,
        "sections": 1,
        "gpa": 3.1769230769230767
      },
      {
        "term": "1094",
        "count": 86,
        "sections": 1,
        "gpa": 3
      },
      {
        "term": "1104",
        "count": 83,
        "sections": 1,
        "gpa": 3.0602409638554215
      },
      {
        "term": "1114",
        "count": 85,
        "sections": 1,
        "gpa": 3.1705882352941175
      },
      {
        "term": "1124",
        "count": 63,
        "sections": 1,
        "gpa": 2.9444444444444446
      },
      {
        "term": "1134",
        "count": 76,
        "sections": 1,
        "gpa": 3.098684210526316
      },
      {
        "term": "1144",
        "count": 84,
        "sections": 1,
        "gpa": 2.6964285714285716
      },
      {
        "term": "1154",
        "count": 89,
        "sections": 1,
        "gpa": 3.258426966292135
      },
      {
        "term": "1164",
        "count": 54,
        "sections": 1,
        "gpa": 3.0555555555555554
      },
      {
        "term": "1204",
        "count": 47,
        "sections": 1,
        "gpa": 3.021276595744681
      },
      {
        "term": "1224",
        "count": 46,
        "sections": 1,
        "gpa": 2.7282608695652173
      },
      {
        "term": "1234",
        "count": 45,
        "sections": 1,
        "gpa": 2.388888888888889
      },
      {
        "term": "1244",
        "count": 45,
        "sections": 1,
        "gpa": 2.911111111111111
      },
      {
        "term": "1254",
        "count": 42,
        "sections": 1,
        "gpa": 2.8095238095238093
      }
    ]
  },
  {
    "uid": "instructor_5ce7f657a6bff8f85b9d1f88",
    "name": "LOUIS ARMENTANO",
    "count": 704,
    "terms": [
      {
        "term": "1074",
        "count": 73,
        "sections": 1,
        "gpa": 2.904109589041096
      },
      {
        "term": "1084",
        "count": 65,
        "sections": 1,
        "gpa": 3.1769230769230767
      },
      {
        "term": "1094",
        "count": 86,
        "sections": 1,
        "gpa": 3
      },
      {
        "term": "1104",
        "count": 83,
        "sections": 1,
        "gpa": 3.0602409638554215
      },
      {
        "term": "1114",
        "count": 85,
        "sections": 1,
        "gpa": 3.1705882352941175
      },
      {
        "term": "1124",
        "count": 63,
        "sections": 1,
        "gpa": 2.9444444444444446
      },
      {
        "term": "1134",
        "count": 76,
        "sections": 1,
        "gpa": 3.098684210526316
      },
      {
        "term": "1144",
        "count": 84,
        "sections": 1,
        "gpa": 2.6964285714285716
      },
      {
        "term": "1154",
        "count": 89,
        "sections": 1,
        "gpa": 3.258426966292135
      }
    ]
  },
  {
    "uid": "instructor_10bdf1948283855fa69caa22",
    "name": "VANESSA LEONE",
    "count": 242,
    "terms": [
      {
        "term": "1224",
        "count": 46,
        "sections": 1,
        "gpa": 2.7282608695652173
      },
      {
        "term": "1234",
        "count": 45,
        "sections": 1,
        "gpa": 2.388888888888889
      },
      {
        "term": "1244",
        "count": 45,
        "sections": 1,
        "gpa": 2.911111111111111
      },
      {
        "term": "1254",
        "count": 42,
        "sections": 1,
        "gpa": 2.8095238095238093
      },
      {
        "term": "1264",
        "count": 64,
        "sections": 1,
        "gpa": 3.09375
      }
    ]
  },
  {
    "uid": "instructor_e2ebcf320377279020709a7a",
    "name": "HEATHER WHITE",
    "count": 241,
    "terms": [
      {
        "term": "1164",
        "count": 54,
        "sections": 1,
        "gpa": 3.0555555555555554
      },
      {
        "term": "1174",
        "count": 68,
        "sections": 1,
        "gpa": 2.926470588235294
      },
      {
        "term": "1184",
        "count": 58,
        "sections": 1,
        "gpa": 2.7155172413793105
      },
      {
        "term": "1194",
        "count": 61,
        "sections": 1,
        "gpa": 3.1065573770491803
      }
    ]
  },
  {
    "uid": "instructor_9cced034798f0e68b6532cc4",
    "name": "DANIEL SCHAEFER",
    "count": 68,
    "terms": [
      {
        "term": "1174",
        "count": 68,
        "sections": 1,
        "gpa": 2.926470588235294
      }
    ]
  },
  {
    "uid": "instructor_c3ba16d15938d977878a9834",
    "name": "YUN JIANG",
    "count": 64,
    "terms": [
      {
        "term": "1264",
        "count": 64,
        "sections": 1,
        "gpa": 3.09375
      }
    ]
  }
]
```

## following

| code            | title                           |
| --------------- | ------------------------------- |
| ANSCI 431       | BEEF CATTLE PRODUCTION          |
| ANSCI 432       | SWINE PRODUCTION                |
| ANSCI/DYSCI 414 | RUMINANT NUTRITION & METABOLISM |

## projection

### target

1272

### gpa

2.8394475612848593

### grades

| grade | percentage         |
| ----- | ------------------ |
| A     | 21.8885358372184   |
| AB    | 15.348118657716311 |
| B     | 19.835540475976963 |
| BC    | 18.36485556928591  |
| C     | 14.272500766994847 |
| D     | 8.70843559246985   |
| F     | 1.5820131003377078 |

### source Terms

* 1264
* 1254
* 1244
* 1234
* 1224

### source Count

242

### same Season

false

### historical Range

* 2.388888888888889
* 3.09375
