# BIOCORE 486: Principles of Physiology Laboratory | UW–Madison

[View on UW Courses](https://uwcourses.com/courses/BIOCORE_486)

## 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

5dcb4020d96f9aa99cff6221603d9f2083b90f6a9c9dde67223ad789994fde7a

### course id

BIOCORE 486

### course uid

course\_c56a3b3cd9a1fffb02d62559

### catalog version id

9256c75bb79fa50ce73460e80579f6ffed848e2e06debf383940d93227afcc8d

### course number

486

### subjects

* BIOCORE

### title

PRINCIPLES OF PHYSIOLOGY LABORATORY

### description

Experience the process of science by collaborating on  independent experiments to investigate your questions about animal and plant physiology. Emphasis is on critical thinking required in designing and conducting experiments, analyzing and interpreting data, and communicating findings orally and in writing.

### requirements text

BIOCORE 485or concurrent enrollment

### credits min

2

### credits max

2

### credit offering ids

* 1272:206:001920

### llm job id

enrich-8b774950c2b6adfdc46d1b82

### llm output id

12833b6f370cdd4567a9062252783754c9aed994f7d8072910190f14279b3671

### llm model

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

### llm model revision

1355db6a052410cfd62085d94b58866fd0f2c3c5

### llm task version

14

### llm search status

valid

### llm summary

Principles of Physiology Laboratory focuses on investigating animal and plant physiology through collaborative independent experiments, emphasizing critical thinking, data analysis, and scientific communication.

### llm topics

* Animal and plant physiology
* Independent experimental investigation
* Data analysis and interpretation

### llm skills

* Designing and conducting experiments
* Analyzing and interpreting data
* Oral and written communication of scientific findings

### llm assumed background

* Completion of BIOCORE 383

### llm search phrases

* physiology laboratory
* animal plant physiology experiments
* critical thinking experiment design
* data analysis interpretation
* oral written communication science

### llm requirements status

valid

### llm student summary status

valid

### llm experience status

insufficient\_evidence

### catalog variants

None recorded.

### student summary

#### context hash

0a8bce7f9251dfcadb0a93c872beae7a3143809489a4d65931e3cd4161e1d06d

#### course id

BIOCORE 486

#### current instructors

```json
[
  {
    "instructor_uid": "instructor_eac63a435461522bcc38062d",
    "message": "No course-specific reviews available",
    "name": "Anna Kowalkowski",
    "review_status": "no_course_reviews",
    "rmp_instructor_id": null,
    "summary": [
      {
        "citations": [
          {
            "course_id": "BIOCORE 486",
            "run_id": "20260907T155543-ce3781c4",
            "section_number": 1,
            "source_course_id": "0f39dfc7-37ed-3df3-be88-318dc19b45e6",
            "source_record": {
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              "file": "tables/observations.parquet",
              "kind": "grades",
              "source": "madgrades"
            },
            "table": "section_grades_latest",
            "term_id": "1242",
            "type": "grade"
          },
          {
            "course_id": "BIOCORE 486",
            "run_id": "20260907T155543-ce3781c4",
            "section_number": 2,
            "source_course_id": "0f39dfc7-37ed-3df3-be88-318dc19b45e6",
            "source_record": {
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              "file": "tables/observations.parquet",
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            },
            "table": "section_grades_latest",
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          },
          {
            "course_id": "BIOCORE 486",
            "run_id": "20260907T155543-ce3781c4",
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          {
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            "source_record": {
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              "file": "tables/observations.parquet",
              "kind": "grades",
              "source": "madgrades"
            },
            "table": "section_grades_latest",
            "term_id": "1252",
            "type": "grade"
          },
          {
            "course_id": "BIOCORE 486",
            "run_id": "20260907T155543-ce3781c4",
            "section_number": 2,
            "source_course_id": "0f39dfc7-37ed-3df3-be88-318dc19b45e6",
            "source_record": {
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            "table": "section_grades_latest",
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          {
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            "run_id": "20260907T155543-ce3781c4",
            "section_number": 3,
            "source_course_id": "0f39dfc7-37ed-3df3-be88-318dc19b45e6",
            "source_record": {
              "entity_id": "0f39dfc7-37ed-3df3-be88-318dc19b45e6",
              "file": "tables/observations.parquet",
              "kind": "grades",
              "source": "madgrades"
            },
            "table": "section_grades_latest",
            "term_id": "1252",
            "type": "grade"
          },
          {
            "course_id": "BIOCORE 486",
            "run_id": "20260907T155543-ce3781c4",
            "section_number": 1,
            "source_course_id": "0f39dfc7-37ed-3df3-be88-318dc19b45e6",
            "source_record": {
              "entity_id": "0f39dfc7-37ed-3df3-be88-318dc19b45e6",
              "file": "tables/observations.parquet",
              "kind": "grades",
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            },
            "table": "section_grades_latest",
            "term_id": "1262",
            "type": "grade"
          },
          {
            "course_id": "BIOCORE 486",
            "run_id": "20260907T155543-ce3781c4",
            "section_number": 2,
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            "source_record": {
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              "file": "tables/observations.parquet",
              "kind": "grades",
              "source": "madgrades"
            },
            "table": "section_grades_latest",
            "term_id": "1262",
            "type": "grade"
          }
        ],
        "text": "Recent recorded grades — Fall 2023: 3.82 GPA, 87.8% A/AB (n=41 letter grades); Fall 2024: 3.77 GPA, 85.7% A/AB (n=35 letter grades); Fall 2025: 3.96 GPA, 97.5% A/AB (n=40 letter grades). Includes jointly taught sections."
      }
    ]
  },
  {
    "instructor_uid": "instructor_fd06c8bb3159af06201e3dc6",
    "message": "No course-specific reviews available",
    "name": "Miguel Garcia",
    "review_status": "no_course_reviews",
    "rmp_instructor_id": null,
    "summary": []
  },
  {
    "instructor_uid": "instructor_511a6fb6745c38c757471cf9",
    "message": "No course-specific reviews available",
    "name": "Seth Mcgee",
    "review_status": "no_course_reviews",
    "rmp_instructor_id": "rmp:935124",
    "summary": []
  },
  {
    "instructor_uid": "instructor_422fe45f6c4c46e63584a30f",
    "message": "No course-specific reviews available",
    "name": "Sumedha Sengupta",
    "review_status": "no_course_reviews",
    "rmp_instructor_id": null,
    "summary": []
  }
]
```

#### 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: 3.82 GPA, 87.8% A/AB (n=41 letter grades); Fall 2024: 3.77 GPA, 85.7% A/AB (n=35 letter grades); Fall 2025: 3.96 GPA, 97.5% A/AB (n=40 letter grades).

```json
{
  "citations": [
    {
      "course_id": "BIOCORE 486",
      "run_id": "20260907T155543-ce3781c4",
      "source_record": {
        "entity_id": "0f39dfc7-37ed-3df3-be88-318dc19b45e6",
        "file": "tables/observations.parquet",
        "kind": "grades",
        "source": "madgrades"
      },
      "table": "grades_latest",
      "term_id": "1242",
      "type": "grade"
    },
    {
      "course_id": "BIOCORE 486",
      "run_id": "20260907T155543-ce3781c4",
      "source_record": {
        "entity_id": "0f39dfc7-37ed-3df3-be88-318dc19b45e6",
        "file": "tables/observations.parquet",
        "kind": "grades",
        "source": "madgrades"
      },
      "table": "grades_latest",
      "term_id": "1252",
      "type": "grade"
    },
    {
      "course_id": "BIOCORE 486",
      "run_id": "20260907T155543-ce3781c4",
      "source_record": {
        "entity_id": "0f39dfc7-37ed-3df3-be88-318dc19b45e6",
        "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

ANNA KOWALKOWSKI is recorded teaching in Fall 2020, Fall 2022, Fall 2023, Fall 2024, Fall 2025. Recorded history may be incomplete and does not establish a future schedule.

```json
{
  "citations": [
    {
      "course_id": "BIOCORE 486",
      "run_id": "20260907T155543-ce3781c4",
      "section_number": 2,
      "source_course_id": "0f39dfc7-37ed-3df3-be88-318dc19b45e6",
      "source_record": {
        "entity_id": "0f39dfc7-37ed-3df3-be88-318dc19b45e6",
        "file": "tables/observations.parquet",
        "kind": "grades",
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      },
      "table": "section_grades_latest",
      "term_id": "1212",
      "type": "grade"
    },
    {
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      "section_number": 3,
      "source_course_id": "0f39dfc7-37ed-3df3-be88-318dc19b45e6",
      "source_record": {
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        "file": "tables/observations.parquet",
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      },
      "table": "section_grades_latest",
      "term_id": "1212",
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    },
    {
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      "section_number": 3,
      "source_course_id": "0f39dfc7-37ed-3df3-be88-318dc19b45e6",
      "source_record": {
        "entity_id": "0f39dfc7-37ed-3df3-be88-318dc19b45e6",
        "file": "tables/observations.parquet",
        "kind": "grades",
        "source": "madgrades"
      },
      "table": "section_grades_latest",
      "term_id": "1252",
      "type": "grade"
    },
    {
      "course_id": "BIOCORE 486",
      "run_id": "20260907T155543-ce3781c4",
      "section_number": 1,
      "source_course_id": "0f39dfc7-37ed-3df3-be88-318dc19b45e6",
      "source_record": {
        "entity_id": "0f39dfc7-37ed-3df3-be88-318dc19b45e6",
        "file": "tables/observations.parquet",
        "kind": "grades",
        "source": "madgrades"
      },
      "table": "section_grades_latest",
      "term_id": "1262",
      "type": "grade"
    },
    {
      "course_id": "BIOCORE 486",
      "run_id": "20260907T155543-ce3781c4",
      "section_number": 2,
      "source_course_id": "0f39dfc7-37ed-3df3-be88-318dc19b45e6",
      "source_record": {
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        "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": [
      "n1",
      "n2"
    ],
    "condition": null,
    "course": null,
    "evidence": "BIOCORE 485or concurrent enrollment",
    "id": "n0",
    "kind": "any"
  },
  {
    "children": [],
    "condition": null,
    "course": {
      "course_number": 485,
      "minimum_grade": null,
      "subjects": [
        "BIOCORE"
      ],
      "timing": "prior_or_concurrent"
    },
    "evidence": "BIOCORE 485",
    "id": "n1",
    "kind": "course"
  },
  {
    "children": [],
    "condition": "concurrent enrollment",
    "course": null,
    "evidence": "concurrent enrollment",
    "id": "n2",
    "kind": "condition"
  }
]
```

#### notes

None recorded.

#### root

n0

#### status

parsed

### instructors

```json
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    "source": "enrollment",
    "source_instructor_id": "akowalkowski",
    "identity_basis": "netid",
    "identity_status": "source_identified",
    "name": "Anna Kowalkowski",
    "email": "AKOWALKOWSKI@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/ANNA_KOWALKOWSKI"
  },
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    "source": "enrollment",
    "source_instructor_id": "mgarcia42",
    "identity_basis": "netid",
    "identity_status": "source_identified",
    "name": "Miguel Garcia",
    "email": "MGARCIA42@WISC.EDU",
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    "last_observed_at": "2026-09-07 15:55:43.033547+00:00",
    "instructor_url": "/instructors/MIGUEL_GARCIA"
  },
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    "source": "enrollment",
    "source_instructor_id": "samcgee",
    "identity_basis": "netid",
    "identity_status": "source_identified",
    "name": "Seth Mcgee",
    "email": "SETH.MCGEE@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",
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    "source_instructor_id": "sengupta26",
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    "name": "Sumedha Sengupta",
    "email": "SENGUPTA26@WISC.EDU",
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    "last_observed_at": "2026-09-07 15:55:43.033547+00:00",
    "instructor_url": "/instructors/SUMEDHA_SENGUPTA"
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]
```

### offerings

```json
[
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    "course_uid": "course_c56a3b3cd9a1fffb02d62559",
    "term_id": "1272",
    "source_course_id": "001920",
    "source_subject_id": "206",
    "title": "Principles of Physiology Laboratory",
    "credits_min": 2,
    "credits_max": 2,
    "typically_offered": "Fall"
  }
]
```

### sections

```json
[
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]
```

### grade instructors

```json
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]
```

### grades

```json
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      "Anna Kowalkowski",
      "JACK PHILLIPS",
      "MATTHEW PEREYRA"
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    "term_name": "Fall 2023",
    "instructors": [
      "Anna Kowalkowski",
      "CHRISTINE GREBE",
      "ELISE BARTELD",
      "Zheng Zhang"
    ],
    "a": 31,
    "ab": 5,
    "b": 5,
    "bc": 0,
    "c": 0,
    "d": 0,
    "f": 0,
    "satisfactory": 0,
    "unsatisfactory": 0,
    "credit": 0,
    "no_credit": 0,
    "passed": 0,
    "incomplete": 0,
    "no_work": 0,
    "not_reported": 0,
    "other": 0,
    "total": 41,
    "source_aliases": [
      "BIOCORE 486"
    ]
  },
  {
    "run_id": "20260907T155543-ce3781c4",
    "semester": "1272",
    "observed_at": "2026-09-07 15:55:43.033547+00:00",
    "course_id": "BIOCORE 486",
    "course_uid": "course_c56a3b3cd9a1fffb02d62559",
    "term_id": "1252",
    "term_name": "Fall 2024",
    "instructors": [
      "ALLISON SPILLANE",
      "Anna Kowalkowski",
      "LILA HOACHLANDER-HOBBY",
      "SHABDA GAJBHIYE"
    ],
    "a": 27,
    "ab": 3,
    "b": 3,
    "bc": 1,
    "c": 1,
    "d": 0,
    "f": 0,
    "satisfactory": 0,
    "unsatisfactory": 0,
    "credit": 0,
    "no_credit": 0,
    "passed": 0,
    "incomplete": 0,
    "no_work": 0,
    "not_reported": 0,
    "other": 0,
    "total": 35,
    "source_aliases": [
      "BIOCORE 486"
    ]
  },
  {
    "run_id": "20260907T155543-ce3781c4",
    "semester": "1272",
    "observed_at": "2026-09-07 15:55:43.033547+00:00",
    "course_id": "BIOCORE 486",
    "course_uid": "course_c56a3b3cd9a1fffb02d62559",
    "term_id": "1262",
    "term_name": "Fall 2025",
    "instructors": [
      "Anna Kowalkowski",
      "MCKENNA CROSSEN",
      "YING CAO"
    ],
    "a": 38,
    "ab": 1,
    "b": 1,
    "bc": 0,
    "c": 0,
    "d": 0,
    "f": 0,
    "satisfactory": 0,
    "unsatisfactory": 0,
    "credit": 0,
    "no_credit": 0,
    "passed": 0,
    "incomplete": 0,
    "no_work": 0,
    "not_reported": 0,
    "other": 0,
    "total": 40,
    "source_aliases": [
      "BIOCORE 486"
    ]
  }
]
```

### statistics

#### gpa

3.823

#### graded

458

#### counts

* 343
* 72
* 40
* 2
* 1
* 0
* 0

### grade conflicts

None recorded.

### evidence

#### history

* [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course\_c56a3b3cd9a1fffb02d62559-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course_c56a3b3cd9a1fffb02d62559-0.json)

#### traces

* [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course\_c56a3b3cd9a1fffb02d62559-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course_c56a3b3cd9a1fffb02d62559-0.json)

#### meetings

* [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/meetings/course\_c56a3b3cd9a1fffb02d62559-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/meetings/course_c56a3b3cd9a1fffb02d62559-0.json)

#### results

* [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course\_c56a3b3cd9a1fffb02d62559-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course_c56a3b3cd9a1fffb02d62559-0.json)

### revision

e243353dcb7d79b7247ced91d69443ef4c2a6349

## context

### all

#### term



#### gpa

3.8231441048034935

#### count

458

#### university

##### size

3700

##### gpa Percentile

63

##### count Percentile

76

##### median Count

164

##### 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 | 5     | false   |
| 2.8–3.2 | 267   | false   |
| 3.2–3.6 | 993   | false   |
| 3.6–4.0 | 2434  | true    |

#### departments

| subject | comparison |
| ------- | ---------- |
| BIOCORE |            |

### terms

#### 1152

##### term

1152

##### gpa

3.576923076923077

##### count

39

##### university

###### size

918

###### gpa Percentile

67

###### count Percentile

18

###### median Count

65

###### histogram

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

##### departments

| subject | comparison |
| ------- | ---------- |
| BIOCORE |            |

#### 1162

##### term

1162

##### gpa

3.861111111111111

##### count

36

##### university

###### size

954

###### gpa Percentile

87

###### count Percentile

12

###### median Count

64.5

###### histogram

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

##### departments

| subject | comparison |
| ------- | ---------- |
| BIOCORE |            |

#### 1172

##### term

1172

##### gpa

3.7818181818181817

##### count

55

##### university

###### size

991

###### gpa Percentile

76

###### count Percentile

39

###### median Count

67

###### histogram

| range   | count | current |
| ------- | ----- | ------- |
| 0.0–0.4 | 0     | false   |
| 0.4–0.8 | 0     | false   |
| 0.8–1.2 | 0     | false   |
| 1.2–1.6 | 0     | false   |
| 1.6–2.0 | 0     | false   |
| 2.0–2.4 | 0     | false   |
| 2.4–2.8 | 22    | false   |
| 2.8–3.2 | 226   | false   |
| 3.2–3.6 | 353   | false   |
| 3.6–4.0 | 390   | true    |

##### departments

| subject | comparison |
| ------- | ---------- |
| BIOCORE |            |

#### 1182

##### term

1182

##### gpa

3.7972972972972974

##### count

37

##### university

###### size

1025

###### gpa Percentile

79

###### count Percentile

12

###### median Count

69

###### histogram

| range   | count | current |
| ------- | ----- | ------- |
| 0.0–0.4 | 0     | false   |
| 0.4–0.8 | 0     | false   |
| 0.8–1.2 | 0     | false   |
| 1.2–1.6 | 0     | false   |
| 1.6–2.0 | 0     | false   |
| 2.0–2.4 | 1     | false   |
| 2.4–2.8 | 21    | false   |
| 2.8–3.2 | 216   | false   |
| 3.2–3.6 | 369   | false   |
| 3.6–4.0 | 418   | true    |

##### departments

| subject | comparison |
| ------- | ---------- |
| BIOCORE |            |

#### 1192

##### term

1192

##### gpa

3.803030303030303

##### count

33

##### university

###### size

1077

###### gpa Percentile

76

###### count Percentile

6

###### 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 | 22    | false   |
| 2.8–3.2 | 203   | false   |
| 3.2–3.6 | 370   | false   |
| 3.6–4.0 | 481   | true    |

##### departments

| subject | comparison |
| ------- | ---------- |
| BIOCORE |            |

#### 1202

##### term

1202

##### gpa

3.925925925925926

##### count

27

##### departments

| subject | comparison |
| ------- | ---------- |
| BIOCORE |            |

#### 1212

##### term

1212

##### gpa

3.7666666666666666

##### count

45

##### university

###### size

1111

###### gpa Percentile

65

###### count Percentile

28

###### 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 | 0     | false   |
| 2.4–2.8 | 4     | false   |
| 2.8–3.2 | 159   | false   |
| 3.2–3.6 | 337   | false   |
| 3.6–4.0 | 611   | true    |

##### departments

| subject | comparison |
| ------- | ---------- |
| BIOCORE |            |

#### 1222

##### term

1222

##### gpa

3.9125

##### count

40

##### university

###### size

1157

###### gpa Percentile

86

###### count Percentile

22

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

##### departments

| subject | comparison |
| ------- | ---------- |
| BIOCORE |            |

#### 1232

##### term

1232

##### gpa

3.9833333333333334

##### count

30

##### university

###### size

1216

###### gpa Percentile

93

###### count Percentile

0

###### 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   | false   |
| 3.2–3.6 | 356   | false   |
| 3.6–4.0 | 670   | true    |

##### departments

| subject | comparison |
| ------- | ---------- |
| BIOCORE |            |

#### 1242

##### term

1242

##### gpa

3.817073170731707

##### count

41

##### university

###### size

1295

###### gpa Percentile

70

###### count Percentile

25

###### 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   | false   |
| 3.6–4.0 | 726   | true    |

##### departments

| subject | comparison |
| ------- | ---------- |
| BIOCORE |            |

#### 1252

##### term

1252

##### gpa

3.7714285714285714

##### count

35

##### university

###### size

1333

###### gpa Percentile

62

###### count Percentile

11

###### 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   | false   |
| 3.6–4.0 | 773   | true    |

##### departments

| subject | comparison |
| ------- | ---------- |
| BIOCORE |            |

#### 1262

##### term

1262

##### gpa

3.9625

##### count

40

##### university

###### size

1320

###### gpa Percentile

89

###### count Percentile

21

###### 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   | false   |
| 3.2–3.6 | 381   | false   |
| 3.6–4.0 | 797   | true    |

##### departments

| subject | comparison |
| ------- | ---------- |
| BIOCORE |            |

### benchmarks

#### all

##### school

###### size

3700

###### gpa

3.6715120488653152

###### top Share

82.65789620787378

###### count

164

#### terms

##### 1152

###### school

###### size

918

###### gpa

3.408733538594633

###### top Share

66.06693005846735

###### count

65

##### 1162

###### school

###### size

954

###### gpa

3.43726781345039

###### top Share

68.05645304987395

###### count

64.5

##### 1172

###### school

###### size

991

###### gpa

3.465129042641772

###### top Share

69.42600667567366

###### count

67

##### 1182

###### school

###### size

1025

###### gpa

3.474159360325319

###### top Share

70.34861441764347

###### count

69

##### 1192

###### school

###### size

1077

###### gpa

3.50327634323125

###### top Share

72.44641925727845

###### count

67

##### 1202

###### school

###### size

1102

###### gpa

3.5102605987403313

###### top Share

72.78244569053733

###### count

68

##### 1212

###### school

###### size

1111

###### gpa

3.5856416028074487

###### top Share

77.58926748660845

###### count

68

##### 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

##### 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

## instructor Trends

```json
[
  {
    "uid": "instructor_b22d30cf866f67385606f31e",
    "name": "MICHELLE HARRIS",
    "count": 312,
    "terms": [
      {
        "term": "1152",
        "count": 39,
        "sections": 3,
        "gpa": 3.576923076923077
      },
      {
        "term": "1162",
        "count": 36,
        "sections": 3,
        "gpa": 3.861111111111111
      },
      {
        "term": "1172",
        "count": 55,
        "sections": 3,
        "gpa": 3.7818181818181817
      },
      {
        "term": "1182",
        "count": 37,
        "sections": 3,
        "gpa": 3.7972972972972974
      },
      {
        "term": "1192",
        "count": 33,
        "sections": 2,
        "gpa": 3.803030303030303
      },
      {
        "term": "1202",
        "count": 27,
        "sections": 2,
        "gpa": 3.925925925925926
      },
      {
        "term": "1212",
        "count": 45,
        "sections": 3,
        "gpa": 3.7666666666666666
      },
      {
        "term": "1222",
        "count": 40,
        "sections": 3,
        "gpa": 3.9125
      }
    ]
  },
  {
    "uid": "instructor_db9447c277a39172ced46fa5",
    "name": "ANNA KOWALKOWSKI",
    "count": 176,
    "terms": [
      {
        "term": "1212",
        "count": 30,
        "sections": 2,
        "gpa": 3.783333333333333
      },
      {
        "term": "1232",
        "count": 30,
        "sections": 2,
        "gpa": 3.9833333333333334
      },
      {
        "term": "1242",
        "count": 41,
        "sections": 3,
        "gpa": 3.817073170731707
      },
      {
        "term": "1252",
        "count": 35,
        "sections": 3,
        "gpa": 3.7714285714285714
      },
      {
        "term": "1262",
        "count": 40,
        "sections": 2,
        "gpa": 3.9625
      }
    ]
  },
  {
    "uid": "instructor_c23380caa61e4c8ce70079ff",
    "name": "TAYLOR WAHLIG",
    "count": 42,
    "terms": [
      {
        "term": "1172",
        "count": 18,
        "sections": 1,
        "gpa": 3.8333333333333335
      },
      {
        "term": "1182",
        "count": 24,
        "sections": 2,
        "gpa": 3.8125
      }
    ]
  },
  {
    "uid": "instructor_9ee63d377520029394ad7fe1",
    "name": "JOSHUA PULTORAK",
    "count": 31,
    "terms": [
      {
        "term": "1162",
        "count": 12,
        "sections": 1,
        "gpa": 3.8333333333333335
      },
      {
        "term": "1172",
        "count": 19,
        "sections": 1,
        "gpa": 3.789473684210526
      }
    ]
  },
  {
    "uid": "instructor_822c609b706519fe5146c720",
    "name": "CHRISTINA NEWMAN",
    "count": 29,
    "terms": [
      {
        "term": "1152",
        "count": 29,
        "sections": 2,
        "gpa": 3.5172413793103448
      }
    ]
  },
  {
    "uid": "instructor_1b1262d148e57680a4864e51",
    "name": "MCKENNA CROSSEN",
    "count": 22,
    "terms": [
      {
        "term": "1262",
        "count": 22,
        "sections": 1,
        "gpa": 3.977272727272727
      }
    ]
  },
  {
    "uid": "instructor_6dc20cb30fad8dbca9ae9461",
    "name": "EVELYN HAMMOND",
    "count": 18,
    "terms": [
      {
        "term": "1172",
        "count": 18,
        "sections": 1,
        "gpa": 3.7222222222222223
      }
    ]
  },
  {
    "uid": "instructor_ce9c25a8c41cb74f5f9d7a72",
    "name": "YING CAO",
    "count": 18,
    "terms": [
      {
        "term": "1262",
        "count": 18,
        "sections": 1,
        "gpa": 3.9444444444444446
      }
    ]
  },
  {
    "uid": "instructor_0895dc0e1dc72082136419d5",
    "name": "LEAH OWENS",
    "count": 17,
    "terms": [
      {
        "term": "1212",
        "count": 17,
        "sections": 1,
        "gpa": 3.764705882352941
      }
    ]
  },
  {
    "uid": "instructor_0ba79c116fe2235349b6b056",
    "name": "DIANA GUZMAN COLON",
    "count": 17,
    "terms": [
      {
        "term": "1192",
        "count": 17,
        "sections": 1,
        "gpa": 3.8529411764705883
      }
    ]
  },
  {
    "uid": "instructor_14b22c66c8a7513241a400ff",
    "name": "EMILY FORAN",
    "count": 16,
    "terms": [
      {
        "term": "1202",
        "count": 16,
        "sections": 1,
        "gpa": 3.875
      }
    ]
  },
  {
    "uid": "instructor_2554a5a62c586e90deda65fb",
    "name": "AUSTIN FEENEY",
    "count": 16,
    "terms": [
      {
        "term": "1192",
        "count": 16,
        "sections": 1,
        "gpa": 3.75
      }
    ]
  },
  {
    "uid": "instructor_31d569e72a1766c3822eaeea",
    "name": "ELLIOTT MAGNUSON",
    "count": 16,
    "terms": [
      {
        "term": "1222",
        "count": 16,
        "sections": 1,
        "gpa": 3.96875
      }
    ]
  },
  {
    "uid": "instructor_9d103f211fad44394e30be4a",
    "name": "ZIHENG ZHANG",
    "count": 16,
    "terms": [
      {
        "term": "1242",
        "count": 16,
        "sections": 1,
        "gpa": 3.84375
      }
    ]
  },
  {
    "uid": "instructor_03b69e33c0a5d77632c2a5a8",
    "name": "JACK PHILLIPS",
    "count": 15,
    "terms": [
      {
        "term": "1232",
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]
```

## following

| code                                           | title                                             |
| ---------------------------------------------- | ------------------------------------------------- |
| M\&ENVTOX/ONCOLOGY/PHMCOL-M/PHMSCI/POPHLTH 625 | TOXICOLOGY I                                      |
| PHMSCI 521                                     | PHARMACOLOGY I                                    |
| PHMSCI 581                                     | MOLECULAR AND CELLULAR PRINCIPLES IN PHARMACOLOGY |
