# ANSCI 245: Animal Welfare | UW–Madison

[View on UW Courses](https://uwcourses.com/courses/ANSCI_245)

## Dataset

### revision

e243353dcb7d79b7247ced91d69443ef4c2a6349

### repository

twangodev/uwcourses

### schema version

6

### importer version

7

### projection id

52a78527ff09011d88cb04c7d43867d9fbfec2930bf1dd2ec359ebd2844e0b07

### observed at

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

### built at

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

### courses

8951

### current instructors

5754

### limited

false

### terms

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

### term

1272

### departments

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

## course

### run id

20260907T155543-ce3781c4

### semester

1272

### observed at

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

### record version id

815085cb2c185051dd05bef2f8cdc296cd0730cccb913ef1ebfa6f96c68436c1

### course id

ANSCI 245

### course uid

course\_41558bdbe848834db065bf72

### catalog version id

60fa05103ec52c45b45184720802e0c8f75b415120ceaf1ba9aabeedef67b57c

### course number

245

### subjects

* ANSCI

### title

ANIMAL WELFARE

### description

Explores animal welfare topics from the animal's perspective. Analyzes contemporary welfare issues and policies based on our scientific understanding of the experiences of animals. Emphasizes farmed animals, but also draws on examples from zoo, lab, and companion animals.

### requirements text

None

### credits min

3

### credits max

3

### credit offering ids

* 1272:604:026014

### llm job id

enrich-8b774950c2b6adfdc46d1b82

### llm output id

2cea093320f7d0535357899acb9545521de9cba55747767dcf7f7cb37a512b67

### llm model

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

### llm model revision

1355db6a052410cfd62085d94b58866fd0f2c3c5

### llm task version

14

### llm search status

valid

### llm summary

ANSCI 245 ANIMAL WELFARE explores animal welfare topics from the animal's perspective, analyzing contemporary issues and policies based on scientific understanding of animal experiences.

### llm topics

* Farmed, zoo, lab, and companion animal welfare
* Animal perspective and experience

### llm skills

* Analyze welfare issues and policies using scientific understanding of animal experiences

### llm assumed background

None recorded.

### llm search phrases

* animal welfare science
* animal sentience experience
* farmed animal policies
* animal ethics analysis

### llm requirements status

valid

### llm student summary status

valid

### llm experience status

insufficient\_evidence

### catalog variants

None recorded.

### student summary

#### context hash

e0138a2d84d409429b1a23dce45a9af68acad2d6015118f307d15889521bfe85

#### course id

ANSCI 245

#### current instructors

```json
[
  {
    "instructor_uid": "instructor_18220b685519049c88a30475",
    "message": "No course-specific reviews available",
    "name": "Sarah Adcock",
    "review_status": "no_course_reviews",
    "rmp_instructor_id": null,
    "summary": [
      {
        "citations": [
          {
            "course_id": "ANSCI 245",
            "run_id": "20260907T155543-ce3781c4",
            "section_number": 1,
            "source_course_id": "4eb11bf5-9146-31a5-89f9-178671e95c18",
            "source_record": {
              "entity_id": "4eb11bf5-9146-31a5-89f9-178671e95c18",
              "file": "tables/observations.parquet",
              "kind": "grades",
              "source": "madgrades"
            },
            "table": "section_grades_latest",
            "term_id": "1242",
            "type": "grade"
          },
          {
            "course_id": "ANSCI 245",
            "run_id": "20260907T155543-ce3781c4",
            "section_number": 1,
            "source_course_id": "4eb11bf5-9146-31a5-89f9-178671e95c18",
            "source_record": {
              "entity_id": "4eb11bf5-9146-31a5-89f9-178671e95c18",
              "file": "tables/observations.parquet",
              "kind": "grades",
              "source": "madgrades"
            },
            "table": "section_grades_latest",
            "term_id": "1252",
            "type": "grade"
          },
          {
            "course_id": "ANSCI 245",
            "run_id": "20260907T155543-ce3781c4",
            "section_number": 1,
            "source_course_id": "4eb11bf5-9146-31a5-89f9-178671e95c18",
            "source_record": {
              "entity_id": "4eb11bf5-9146-31a5-89f9-178671e95c18",
              "file": "tables/observations.parquet",
              "kind": "grades",
              "source": "madgrades"
            },
            "table": "section_grades_latest",
            "term_id": "1262",
            "type": "grade"
          }
        ],
        "text": "Recent recorded grades — Fall 2023: 3.52 GPA, 74.5% A/AB (n=51 letter grades); Fall 2024: 3.48 GPA, 73.2% A/AB (n=82 letter grades); Fall 2025: 3.17 GPA, 51.2% A/AB (n=84 letter grades)."
      }
    ]
  }
]
```

#### difficulty workload

None recorded.

#### errors

None recorded.

#### historical context

None recorded.

#### message

No course-specific reviews available

#### offered

true

#### profile hash

672f506f2fc2f46a071b9777f4a92cc197b2ccdeef25590e9285146d8c7e7f90

#### quick take

Recent recorded grades — Fall 2023: 3.52 GPA, 74.5% A/AB (n=51 letter grades); Fall 2024: 3.48 GPA, 73.2% A/AB (n=82 letter grades); Fall 2025: 3.17 GPA, 51.2% A/AB (n=84 letter grades).

```json
{
  "citations": [
    {
      "course_id": "ANSCI 245",
      "run_id": "20260907T155543-ce3781c4",
      "source_record": {
        "entity_id": "4eb11bf5-9146-31a5-89f9-178671e95c18",
        "file": "tables/observations.parquet",
        "kind": "grades",
        "source": "madgrades"
      },
      "table": "grades_latest",
      "term_id": "1242",
      "type": "grade"
    },
    {
      "course_id": "ANSCI 245",
      "run_id": "20260907T155543-ce3781c4",
      "source_record": {
        "entity_id": "4eb11bf5-9146-31a5-89f9-178671e95c18",
        "file": "tables/observations.parquet",
        "kind": "grades",
        "source": "madgrades"
      },
      "table": "grades_latest",
      "term_id": "1252",
      "type": "grade"
    },
    {
      "course_id": "ANSCI 245",
      "run_id": "20260907T155543-ce3781c4",
      "source_record": {
        "entity_id": "4eb11bf5-9146-31a5-89f9-178671e95c18",
        "file": "tables/observations.parquet",
        "kind": "grades",
        "source": "madgrades"
      },
      "table": "grades_latest",
      "term_id": "1262",
      "type": "grade"
    }
  ]
}
```

#### student experience

None recorded.

#### task hash

74fb0997943e888960bbc9e47db8c4fd12e4292d55c20509d8d89db6a9910f68

#### teaching history

SARAH ADCOCK is recorded teaching in Fall 2021, Fall 2022, Fall 2023, Fall 2024, Fall 2025. Recorded history may be incomplete and does not establish a future schedule.

```json
{
  "citations": [
    {
      "course_id": "ANSCI 245",
      "run_id": "20260907T155543-ce3781c4",
      "section_number": 1,
      "source_course_id": "4eb11bf5-9146-31a5-89f9-178671e95c18",
      "source_record": {
        "entity_id": "4eb11bf5-9146-31a5-89f9-178671e95c18",
        "file": "tables/observations.parquet",
        "kind": "grades",
        "source": "madgrades"
      },
      "table": "section_grades_latest",
      "term_id": "1222",
      "type": "grade"
    },
    {
      "course_id": "ANSCI 245",
      "run_id": "20260907T155543-ce3781c4",
      "section_number": 1,
      "source_course_id": "4eb11bf5-9146-31a5-89f9-178671e95c18",
      "source_record": {
        "entity_id": "4eb11bf5-9146-31a5-89f9-178671e95c18",
        "file": "tables/observations.parquet",
        "kind": "grades",
        "source": "madgrades"
      },
      "table": "section_grades_latest",
      "term_id": "1232",
      "type": "grade"
    },
    {
      "course_id": "ANSCI 245",
      "run_id": "20260907T155543-ce3781c4",
      "section_number": 1,
      "source_course_id": "4eb11bf5-9146-31a5-89f9-178671e95c18",
      "source_record": {
        "entity_id": "4eb11bf5-9146-31a5-89f9-178671e95c18",
        "file": "tables/observations.parquet",
        "kind": "grades",
        "source": "madgrades"
      },
      "table": "section_grades_latest",
      "term_id": "1242",
      "type": "grade"
    },
    {
      "course_id": "ANSCI 245",
      "run_id": "20260907T155543-ce3781c4",
      "section_number": 1,
      "source_course_id": "4eb11bf5-9146-31a5-89f9-178671e95c18",
      "source_record": {
        "entity_id": "4eb11bf5-9146-31a5-89f9-178671e95c18",
        "file": "tables/observations.parquet",
        "kind": "grades",
        "source": "madgrades"
      },
      "table": "section_grades_latest",
      "term_id": "1252",
      "type": "grade"
    },
    {
      "course_id": "ANSCI 245",
      "run_id": "20260907T155543-ce3781c4",
      "section_number": 1,
      "source_course_id": "4eb11bf5-9146-31a5-89f9-178671e95c18",
      "source_record": {
        "entity_id": "4eb11bf5-9146-31a5-89f9-178671e95c18",
        "file": "tables/observations.parquet",
        "kind": "grades",
        "source": "madgrades"
      },
      "table": "section_grades_latest",
      "term_id": "1262",
      "type": "grade"
    }
  ]
}
```

#### term id

1272

#### term name

2026 Fall

#### version

2

### requirements

#### nodes

```json
[
  {
    "children": [],
    "condition": "None",
    "course": null,
    "evidence": "None",
    "id": "source_requirements",
    "kind": "condition"
  }
]
```

#### notes

* Display fallback using original requirements text; not an LLM-parsed rule.

#### root

source\_requirements

#### status

needs\_review

### instructors

| instructor\_uid                      | source     | source\_instructor\_id | identity\_basis | identity\_status   | name         | email                  | first\_observed\_at              | last\_observed\_at               | instructor\_url            |
| ------------------------------------ | ---------- | ---------------------- | --------------- | ------------------ | ------------ | ---------------------- | -------------------------------- | -------------------------------- | -------------------------- |
| instructor\_18220b685519049c88a30475 | enrollment | sadcock2               | netid           | source\_identified | Sarah Adcock | SARAH.ADCOCK\@WISC.EDU | 2026-09-07 15:55:43.033547+00:00 | 2026-09-07 15:55:43.033547+00:00 | /instructors/SARAH\_ADCOCK |

### offerings

```json
[
  {
    "run_id": "20260907T155543-ce3781c4",
    "semester": "1272",
    "observed_at": "2026-09-07 15:55:43.033547+00:00",
    "offering_id": "1272:604:026014",
    "course_id": "ANSCI 245",
    "course_uid": "course_41558bdbe848834db065bf72",
    "term_id": "1272",
    "source_course_id": "026014",
    "source_subject_id": "604",
    "title": "Animal Welfare",
    "credits_min": 3,
    "credits_max": 3,
    "typically_offered": "Not Applicable"
  }
]
```

### sections

```json
[
  {
    "run_id": "20260907T155543-ce3781c4",
    "observed_at": "2026-09-07 15:55:43.033547+00:00",
    "section_uid": "uw-section:1272:22403",
    "term_id": "1272",
    "source_section_id": "22403",
    "identity_basis": "class_number",
    "section_number": "301",
    "section_type": "DIS",
    "instruction_mode": "Classroom Instruction",
    "capacity": 42,
    "enrolled": 41,
    "waitlisted": 1,
    "start_date": "2026-09-02 05:00:00+00:00",
    "end_date": "2026-12-09 06:00:00+00:00"
  },
  {
    "run_id": "20260907T155543-ce3781c4",
    "observed_at": "2026-09-07 15:55:43.033547+00:00",
    "section_uid": "uw-section:1272:22404",
    "term_id": "1272",
    "source_section_id": "22404",
    "identity_basis": "class_number",
    "section_number": "302",
    "section_type": "DIS",
    "instruction_mode": "Classroom Instruction",
    "capacity": 42,
    "enrolled": 42,
    "waitlisted": 0,
    "start_date": "2026-09-02 05:00:00+00:00",
    "end_date": "2026-12-09 06:00:00+00:00"
  },
  {
    "run_id": "20260907T155543-ce3781c4",
    "observed_at": "2026-09-07 15:55:43.033547+00:00",
    "section_uid": "uw-section:1272:22405",
    "term_id": "1272",
    "source_section_id": "22405",
    "identity_basis": "class_number",
    "section_number": "001",
    "section_type": "LEC",
    "instruction_mode": "Classroom Instruction",
    "capacity": 84,
    "enrolled": 83,
    "waitlisted": 1,
    "start_date": "2026-09-02 05:00:00+00:00",
    "end_date": "2026-12-09 06:00:00+00:00"
  }
]
```

### grade instructors

```json
[
  {
    "instructor_uid": "instructor_6c4f921fc5ddfc071ebccec6",
    "source": "madgrades",
    "source_instructor_id": "6317420",
    "identity_basis": "source_id",
    "identity_status": "source_identified",
    "name": "SARAH ADCOCK",
    "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": 3.417,
      "graded": 324,
      "counts": [
        126,
        94,
        53,
        34,
        15,
        0,
        2
      ],
      "sections": 39
    },
    "instructor_url": "/instructors/SARAH_ADCOCK--instructor_6c4f921fc5ddfc071ebccec6"
  },
  {
    "instructor_uid": "instructor_18220b685519049c88a30475",
    "source": "enrollment",
    "source_instructor_id": "sadcock2",
    "identity_basis": "netid",
    "identity_status": "source_identified",
    "name": "Sarah Adcock",
    "email": "SARAH.ADCOCK@WISC.EDU",
    "first_observed_at": "2026-09-07 15:55:43.033547+00:00",
    "last_observed_at": "2026-09-07 15:55:43.033547+00:00",
    "instructor_url": "/instructors/SARAH_ADCOCK"
  }
]
```

### grades

```json
[
  {
    "run_id": "20260907T155543-ce3781c4",
    "semester": "1272",
    "observed_at": "2026-09-07 15:55:43.033547+00:00",
    "course_id": "ANSCI 245",
    "course_uid": "course_41558bdbe848834db065bf72",
    "term_id": "1222",
    "term_name": "Fall 2021",
    "instructors": [
      "Sarah Adcock"
    ],
    "a": 9,
    "ab": 11,
    "b": 5,
    "bc": 3,
    "c": 1,
    "d": 0,
    "f": 1,
    "satisfactory": 0,
    "unsatisfactory": 0,
    "credit": 0,
    "no_credit": 0,
    "passed": 0,
    "incomplete": 0,
    "no_work": 0,
    "not_reported": 0,
    "other": 0,
    "total": 30,
    "source_aliases": [
      "ANSCI 245"
    ]
  },
  {
    "run_id": "20260907T155543-ce3781c4",
    "semester": "1272",
    "observed_at": "2026-09-07 15:55:43.033547+00:00",
    "course_id": "ANSCI 245",
    "course_uid": "course_41558bdbe848834db065bf72",
    "term_id": "1232",
    "term_name": "Fall 2022",
    "instructors": [
      "Sarah Adcock"
    ],
    "a": 10,
    "ab": 8,
    "b": 11,
    "bc": 1,
    "c": 4,
    "d": 0,
    "f": 1,
    "satisfactory": 1,
    "unsatisfactory": 0,
    "credit": 0,
    "no_credit": 0,
    "passed": 0,
    "incomplete": 0,
    "no_work": 0,
    "not_reported": 0,
    "other": 0,
    "total": 36,
    "source_aliases": [
      "ANSCI 245"
    ]
  },
  {
    "run_id": "20260907T155543-ce3781c4",
    "semester": "1272",
    "observed_at": "2026-09-07 15:55:43.033547+00:00",
    "course_id": "ANSCI 245",
    "course_uid": "course_41558bdbe848834db065bf72",
    "term_id": "1242",
    "term_name": "Fall 2023",
    "instructors": [
      "Sarah Adcock"
    ],
    "a": 24,
    "ab": 14,
    "b": 5,
    "bc": 7,
    "c": 1,
    "d": 0,
    "f": 0,
    "satisfactory": 2,
    "unsatisfactory": 0,
    "credit": 0,
    "no_credit": 0,
    "passed": 0,
    "incomplete": 0,
    "no_work": 0,
    "not_reported": 0,
    "other": 0,
    "total": 53,
    "source_aliases": [
      "ANSCI 245"
    ]
  },
  {
    "run_id": "20260907T155543-ce3781c4",
    "semester": "1272",
    "observed_at": "2026-09-07 15:55:43.033547+00:00",
    "course_id": "ANSCI 245",
    "course_uid": "course_41558bdbe848834db065bf72",
    "term_id": "1252",
    "term_name": "Fall 2024",
    "instructors": [
      "Sarah Adcock"
    ],
    "a": 29,
    "ab": 31,
    "b": 13,
    "bc": 7,
    "c": 2,
    "d": 0,
    "f": 0,
    "satisfactory": 0,
    "unsatisfactory": 0,
    "credit": 0,
    "no_credit": 0,
    "passed": 0,
    "incomplete": 0,
    "no_work": 0,
    "not_reported": 0,
    "other": 0,
    "total": 82,
    "source_aliases": [
      "ANSCI 245"
    ]
  },
  {
    "run_id": "20260907T155543-ce3781c4",
    "semester": "1272",
    "observed_at": "2026-09-07 15:55:43.033547+00:00",
    "course_id": "ANSCI 245",
    "course_uid": "course_41558bdbe848834db065bf72",
    "term_id": "1262",
    "term_name": "Fall 2025",
    "instructors": [
      "Sarah Adcock"
    ],
    "a": 13,
    "ab": 30,
    "b": 19,
    "bc": 16,
    "c": 6,
    "d": 0,
    "f": 0,
    "satisfactory": 0,
    "unsatisfactory": 0,
    "credit": 0,
    "no_credit": 0,
    "passed": 0,
    "incomplete": 0,
    "no_work": 0,
    "not_reported": 0,
    "other": 0,
    "total": 84,
    "source_aliases": [
      "ANSCI 245"
    ]
  }
]
```

### statistics

#### gpa

3.337

#### graded

282

#### counts

* 85
* 94
* 53
* 34
* 14
* 0
* 2

### grade conflicts

None recorded.

### evidence

#### history

* [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course\_41558bdbe848834db065bf72-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course_41558bdbe848834db065bf72-0.json)

#### traces

* [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course\_41558bdbe848834db065bf72-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course_41558bdbe848834db065bf72-0.json)

#### meetings

* [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/meetings/course\_41558bdbe848834db065bf72-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/meetings/course_41558bdbe848834db065bf72-0.json)

#### results

* [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course\_41558bdbe848834db065bf72-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course_41558bdbe848834db065bf72-0.json)

### revision

e243353dcb7d79b7247ced91d69443ef4c2a6349

## context

### all

#### term



#### gpa

3.3368794326241136

#### count

282

#### university

##### size

2928

##### gpa Percentile

12

##### count Percentile

76

##### median Count

115

##### 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 | 10    | false   |
| 2.8–3.2 | 180   | false   |
| 3.2–3.6 | 745   | true    |
| 3.6–4.0 | 1992  | false   |

#### departments

```json
[
  {
    "subject": "ANSCI",
    "comparison": {
      "size": 17,
      "gpaPercentile": 31,
      "countPercentile": 81,
      "medianCount": 140,
      "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": 4,
          "current": true
        },
        {
          "range": "3.6–4.0",
          "count": 9,
          "current": false
        }
      ]
    }
  }
]
```

### terms

#### 1222

##### term

1222

##### gpa

3.3

##### count

30

##### university

###### size

1157

###### gpa Percentile

22

###### count Percentile

0

###### median Count

64

###### histogram

| range   | count | current |
| ------- | ----- | ------- |
| 0.0–0.4 | 0     | false   |
| 0.4–0.8 | 0     | false   |
| 0.8–1.2 | 0     | false   |
| 1.2–1.6 | 0     | false   |
| 1.6–2.0 | 0     | false   |
| 2.0–2.4 | 1     | false   |
| 2.4–2.8 | 17    | false   |
| 2.8–3.2 | 174   | false   |
| 3.2–3.6 | 351   | true    |
| 3.6–4.0 | 614   | false   |

##### departments

| subject | comparison |
| ------- | ---------- |
| ANSCI   |            |

#### 1232

##### term

1232

##### gpa

3.1857142857142855

##### count

35

##### university

###### size

1216

###### gpa Percentile

15

###### count Percentile

12

###### 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 | 14    | false   |
| 2.8–3.2 | 174   | true    |
| 3.2–3.6 | 356   | false   |
| 3.6–4.0 | 670   | false   |

##### departments

| subject | comparison |
| ------- | ---------- |
| ANSCI   |            |

#### 1242

##### term

1242

##### gpa

3.519607843137255

##### count

51

##### university

###### size

1295

###### gpa Percentile

36

###### count Percentile

38

###### 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 | 2     | false   |
| 2.4–2.8 | 11    | false   |
| 2.8–3.2 | 162   | false   |
| 3.2–3.6 | 394   | true    |
| 3.6–4.0 | 726   | false   |

##### departments

```json
[
  {
    "subject": "ANSCI",
    "comparison": {
      "size": 10,
      "gpaPercentile": 56,
      "countPercentile": 56,
      "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": 1,
          "current": false
        },
        {
          "range": "2.8–3.2",
          "count": 3,
          "current": false
        },
        {
          "range": "3.2–3.6",
          "count": 2,
          "current": true
        },
        {
          "range": "3.6–4.0",
          "count": 4,
          "current": false
        }
      ]
    }
  }
]
```

#### 1252

##### term

1252

##### gpa

3.475609756097561

##### count

82

##### university

###### size

1333

###### gpa Percentile

30

###### count Percentile

57

###### median Count

69

###### histogram

| range   | count | current |
| ------- | ----- | ------- |
| 0.0–0.4 | 0     | false   |
| 0.4–0.8 | 0     | false   |
| 0.8–1.2 | 0     | false   |
| 1.2–1.6 | 0     | false   |
| 1.6–2.0 | 0     | false   |
| 2.0–2.4 | 0     | false   |
| 2.4–2.8 | 14    | false   |
| 2.8–3.2 | 115   | false   |
| 3.2–3.6 | 431   | true    |
| 3.6–4.0 | 773   | false   |

##### departments

| subject | comparison |
| ------- | ---------- |
| ANSCI   |            |

#### 1262

##### term

1262

##### gpa

3.1666666666666665

##### count

84

##### university

###### size

1320

###### gpa Percentile

8

###### count Percentile

57

###### median Count

70

###### histogram

| range   | count | current |
| ------- | ----- | ------- |
| 0.0–0.4 | 0     | false   |
| 0.4–0.8 | 0     | false   |
| 0.8–1.2 | 0     | false   |
| 1.2–1.6 | 0     | false   |
| 1.6–2.0 | 0     | false   |
| 2.0–2.4 | 1     | false   |
| 2.4–2.8 | 8     | false   |
| 2.8–3.2 | 133   | true    |
| 3.2–3.6 | 381   | false   |
| 3.6–4.0 | 797   | false   |

##### departments

```json
[
  {
    "subject": "ANSCI",
    "comparison": {
      "size": 11,
      "gpaPercentile": 20,
      "countPercentile": 60,
      "medianCount": 70,
      "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": 6,
          "current": false
        }
      ]
    }
  }
]
```

### benchmarks

#### all

##### school

###### size

2928

###### gpa

3.6868346571627475

###### top Share

83.66514315684641

###### count

115

##### ANSCI

###### size

17

###### gpa

3.5577716525203384

###### top Share

75.52204578463959

###### count

140

#### terms

##### 1222

###### school

###### size

1157

###### gpa

3.563052311875811

###### top Share

76.64869058732418

###### count

64

##### 1232

###### school

###### size

1216

###### gpa

3.575457431972425

###### top Share

77.33712216234007

###### count

66

##### 1242

###### school

###### size

1295

###### gpa

3.595302892737449

###### top Share

78.36291889885307

###### count

67

###### ANSCI

###### size

10

###### gpa

3.4990696003570223

###### top Share

71.28431255095414

###### count

45

##### 1252

###### school

###### size

1333

###### gpa

3.619494049739118

###### top Share

79.71442190500672

###### count

69

##### 1262

###### school

###### size

1320

###### gpa

3.628825763035853

###### top Share

80.21118846327654

###### count

70

###### ANSCI

###### size

11

###### gpa

3.569136261738081

###### top Share

76.22979796022352

###### count

70

## instructor Trends

```json
[
  {
    "uid": "instructor_6c4f921fc5ddfc071ebccec6",
    "name": "SARAH ADCOCK",
    "count": 282,
    "terms": [
      {
        "term": "1222",
        "count": 30,
        "sections": 1,
        "gpa": 3.3
      },
      {
        "term": "1232",
        "count": 35,
        "sections": 1,
        "gpa": 3.1857142857142855
      },
      {
        "term": "1242",
        "count": 51,
        "sections": 1,
        "gpa": 3.519607843137255
      },
      {
        "term": "1252",
        "count": 82,
        "sections": 1,
        "gpa": 3.475609756097561
      },
      {
        "term": "1262",
        "count": 84,
        "sections": 1,
        "gpa": 3.1666666666666665
      }
    ]
  }
]
```

## following

None recorded.

## projection

### target

1272

### gpa

3.3265317722031984

### grades

| grade | percentage         |
| ----- | ------------------ |
| A     | 29.98664085269357  |
| AB    | 32.79638845008755  |
| B     | 19.18567928674819  |
| BC    | 11.96455801066436  |
| C     | 5.2254106736668495 |
| D     | 0                  |
| F     | 0.84132272613948   |

### source Terms

* 1262
* 1252
* 1242
* 1232
* 1222

### source Count

282

### same Season

true

### historical Range

* 3.1666666666666665
* 3.519607843137255
