# BME 780: Methods in Quantitative Biology | UW–Madison

[View on UW Courses](https://uwcourses.com/courses/BME_780)

## 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

b9692358c74315b93bb2a2390f9e2fb66d7ca6bef3e3358f009d1bb4809104e9

### course id

BME 780

### course uid

course\_392a8f2463da49408d248cbf

### catalog version id

72095f14be40a88b981c68972c978fd91e401f6d55ae6a7338c3fc021ab2ac9e

### course number

780

### subjects

* BME

### title

METHODS IN QUANTITATIVE BIOLOGY

### description

Focuses on understanding the key methods and principles of quantitative biology through a close reading of the primary literature. Topics covered will include deterministic and stochastic methods for modeling cellular systems, techniques in systems and synthetic biology, image processing tools and image analysis for biology, data-driven network models, genomic approaches, single-molecule approaches, and key computational biology tools. This course is intended for graduate students from a variety of backgrounds who are interested in pursuing quantitative biology during their graduate studies.

### requirements text

Graduate/professional standing

### credits min

1

### credits max

1

### credit offering ids

* 1272:207:024873

### llm job id

enrich-8b774950c2b6adfdc46d1b82

### llm output id

d139e15493dcde0af5d1d09205b8f57e273f8c3dd2899e967e1f22ee3292781e

### llm model

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

### llm model revision

1355db6a052410cfd62085d94b58866fd0f2c3c5

### llm task version

14

### llm search status

valid

### llm summary

BME 780 teaches quantitative biology methods and principles through primary literature, covering modeling, systems biology, and computational tools.

### llm topics

* Cellular system modeling
* Systems and synthetic biology
* Biological image analysis
* Data-driven network models
* Genomic and single-molecule approaches

### llm skills

* Quantitative biology methods and principles
* Cellular system modeling
* Systems and synthetic biology techniques
* Biological image processing and analysis
* Data-driven network modeling
* Genomic and single-molecule computational approaches

### llm assumed background

* Graduate standing

### llm search phrases

* quantitative biology methods
* systems biology modeling
* computational biology tools
* image analysis biology
* genomic approaches

### llm requirements status

valid

### llm student summary status

valid

### llm experience status

insufficient\_evidence

### catalog variants

None recorded.

### student summary

#### context hash

c56ae8e9103ea1dcf8cd92193c8defa3ef3f753575aa1bd5c85bb31ef47e8db2

#### course id

BME 780

#### current instructors

```json
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    "message": "No course-specific reviews available",
    "name": "Megan Mcclean",
    "review_status": "no_course_reviews",
    "rmp_instructor_id": null,
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        "text": "Recent recorded grades — Fall 2023: 3.92 GPA, 100.0% A/AB (n=12 letter grades); Fall 2024: 3.85 GPA, 100.0% A/AB (n=20 letter grades); Fall 2025: 4.00 GPA, 100.0% A/AB (n=14 letter grades)."
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```

#### difficulty workload

None recorded.

#### errors

None recorded.

#### historical context

None recorded.

#### message

No course-specific reviews available

#### offered

true

#### profile hash

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#### quick take

Recent recorded grades — Fall 2023: 3.92 GPA, 100.0% A/AB (n=12 letter grades); Fall 2024: 3.85 GPA, 100.0% A/AB (n=20 letter grades); Fall 2025: 4.00 GPA, 100.0% A/AB (n=14 letter grades).

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```

#### student experience

None recorded.

#### task hash

74fb0997943e888960bbc9e47db8c4fd12e4292d55c20509d8d89db6a9910f68

#### teaching history

MEGAN MCCLEAN is recorded teaching in Fall 2018, Fall 2019, Fall 2020, Fall 2021, Fall 2023, Fall 2024, Fall 2025. Recorded history may be incomplete and does not establish a future schedule.

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```

#### term id

1272

#### term name

2026 Fall

#### version

2

### requirements

#### nodes

```json
[
  {
    "children": [],
    "condition": "Graduate/professional standing",
    "course": null,
    "evidence": "Graduate/professional standing",
    "id": "n0",
    "kind": "condition"
  }
]
```

#### notes

None recorded.

#### root

n0

#### status

parsed

### instructors

| instructor\_uid                      | source     | source\_instructor\_id | identity\_basis | identity\_status   | name          | email              | first\_observed\_at              | last\_observed\_at               | instructor\_url             |
| ------------------------------------ | ---------- | ---------------------- | --------------- | ------------------ | ------------- | ------------------ | -------------------------------- | -------------------------------- | --------------------------- |
| instructor\_25237be9210ac38f1a26e3de | enrollment | mmcclean               | netid           | source\_identified | Megan Mcclean | MMCCLEAN\@WISC.EDU | 2026-09-07 15:55:43.033547+00:00 | 2026-09-07 15:55:43.033547+00:00 | /instructors/MEGAN\_MCCLEAN |

### offerings

```json
[
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    "source_course_id": "024873",
    "source_subject_id": "207",
    "title": "Methods in Quantitative Biology",
    "credits_min": 1,
    "credits_max": 1,
    "typically_offered": "Fall"
  }
]
```

### sections

```json
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    "identity_basis": "class_number",
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    "section_type": "SEM",
    "instruction_mode": "Classroom Instruction",
    "capacity": 20,
    "enrolled": 19,
    "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
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      ],
      "sections": 133
    },
    "instructor_url": "/instructors/PAMELA_KREEGER"
  },
  {
    "instructor_uid": "instructor_25237be9210ac38f1a26e3de",
    "source": "enrollment",
    "source_instructor_id": "mmcclean",
    "identity_basis": "netid",
    "identity_status": "source_identified",
    "name": "Megan Mcclean",
    "email": "MMCCLEAN@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/MEGAN_MCCLEAN"
  }
]
```

### grades

```json
[
  {
    "run_id": "20260907T155543-ce3781c4",
    "semester": "1272",
    "observed_at": "2026-09-07 15:55:43.033547+00:00",
    "course_id": "BME 780",
    "course_uid": "course_392a8f2463da49408d248cbf",
    "term_id": "1192",
    "term_name": "Fall 2018",
    "instructors": [
      "Megan Mcclean"
    ],
    "a": 11,
    "ab": 1,
    "b": 0,
    "bc": 1,
    "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": 13,
    "source_aliases": [
      "BME 780"
    ]
  },
  {
    "run_id": "20260907T155543-ce3781c4",
    "semester": "1272",
    "observed_at": "2026-09-07 15:55:43.033547+00:00",
    "course_id": "BME 780",
    "course_uid": "course_392a8f2463da49408d248cbf",
    "term_id": "1202",
    "term_name": "Fall 2019",
    "instructors": [
      "Megan Mcclean"
    ],
    "a": 13,
    "ab": 3,
    "b": 0,
    "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": 16,
    "source_aliases": [
      "BME 780"
    ]
  },
  {
    "run_id": "20260907T155543-ce3781c4",
    "semester": "1272",
    "observed_at": "2026-09-07 15:55:43.033547+00:00",
    "course_id": "BME 780",
    "course_uid": "course_392a8f2463da49408d248cbf",
    "term_id": "1212",
    "term_name": "Fall 2020",
    "instructors": [
      "Megan Mcclean"
    ],
    "a": 0,
    "ab": 0,
    "b": 0,
    "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": 0,
    "source_aliases": [
      "BME 780"
    ]
  },
  {
    "run_id": "20260907T155543-ce3781c4",
    "semester": "1272",
    "observed_at": "2026-09-07 15:55:43.033547+00:00",
    "course_id": "BME 780",
    "course_uid": "course_392a8f2463da49408d248cbf",
    "term_id": "1222",
    "term_name": "Fall 2021",
    "instructors": [
      "Megan Mcclean"
    ],
    "a": 14,
    "ab": 0,
    "b": 0,
    "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": 14,
    "source_aliases": [
      "BME 780"
    ]
  },
  {
    "run_id": "20260907T155543-ce3781c4",
    "semester": "1272",
    "observed_at": "2026-09-07 15:55:43.033547+00:00",
    "course_id": "BME 780",
    "course_uid": "course_392a8f2463da49408d248cbf",
    "term_id": "1232",
    "term_name": "Fall 2022",
    "instructors": [
      "PAMELA KREEGER"
    ],
    "a": 10,
    "ab": 5,
    "b": 3,
    "bc": 0,
    "c": 0,
    "d": 0,
    "f": 0,
    "satisfactory": 0,
    "unsatisfactory": 0,
    "credit": 0,
    "no_credit": 0,
    "passed": 0,
    "incomplete": 0,
    "no_work": 0,
    "not_reported": 0,
    "other": 0,
    "total": 18,
    "source_aliases": [
      "BME 780"
    ]
  },
  {
    "run_id": "20260907T155543-ce3781c4",
    "semester": "1272",
    "observed_at": "2026-09-07 15:55:43.033547+00:00",
    "course_id": "BME 780",
    "course_uid": "course_392a8f2463da49408d248cbf",
    "term_id": "1242",
    "term_name": "Fall 2023",
    "instructors": [
      "Megan Mcclean"
    ],
    "a": 10,
    "ab": 2,
    "b": 0,
    "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": 12,
    "source_aliases": [
      "BME 780"
    ]
  },
  {
    "run_id": "20260907T155543-ce3781c4",
    "semester": "1272",
    "observed_at": "2026-09-07 15:55:43.033547+00:00",
    "course_id": "BME 780",
    "course_uid": "course_392a8f2463da49408d248cbf",
    "term_id": "1252",
    "term_name": "Fall 2024",
    "instructors": [
      "Megan Mcclean"
    ],
    "a": 14,
    "ab": 6,
    "b": 0,
    "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": 20,
    "source_aliases": [
      "BME 780"
    ]
  },
  {
    "run_id": "20260907T155543-ce3781c4",
    "semester": "1272",
    "observed_at": "2026-09-07 15:55:43.033547+00:00",
    "course_id": "BME 780",
    "course_uid": "course_392a8f2463da49408d248cbf",
    "term_id": "1262",
    "term_name": "Fall 2025",
    "instructors": [
      "Megan Mcclean"
    ],
    "a": 14,
    "ab": 0,
    "b": 0,
    "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": 14,
    "source_aliases": [
      "BME 780"
    ]
  }
]
```

### statistics

#### gpa

3.879

#### graded

107

#### counts

* 86
* 17
* 3
* 1
* 0
* 0
* 0

### grade conflicts

None recorded.

### evidence

#### history

* [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course\_392a8f2463da49408d248cbf-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course_392a8f2463da49408d248cbf-0.json)

#### traces

* [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course\_392a8f2463da49408d248cbf-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course_392a8f2463da49408d248cbf-0.json)

#### meetings

* [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/meetings/course\_392a8f2463da49408d248cbf-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/meetings/course_392a8f2463da49408d248cbf-0.json)

#### results

* [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course\_392a8f2463da49408d248cbf-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course_392a8f2463da49408d248cbf-0.json)

### revision

e243353dcb7d79b7247ced91d69443ef4c2a6349

## context

### all

#### term



#### gpa

3.878504672897196

#### count

107

#### university

##### size

3353

##### gpa Percentile

70

##### count Percentile

41

##### median Count

136

##### 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 | 6     | false   |
| 2.8–3.2 | 213   | false   |
| 3.2–3.6 | 845   | false   |
| 3.6–4.0 | 2289  | true    |

#### departments

```json
[
  {
    "subject": "BME",
    "comparison": {
      "size": 25,
      "gpaPercentile": 46,
      "countPercentile": 29,
      "medianCount": 183,
      "histogram": [
        {
          "range": "0.0–0.4",
          "count": 0,
          "current": false
        },
        {
          "range": "0.4–0.8",
          "count": 0,
          "current": false
        },
        {
          "range": "0.8–1.2",
          "count": 0,
          "current": false
        },
        {
          "range": "1.2–1.6",
          "count": 0,
          "current": false
        },
        {
          "range": "1.6–2.0",
          "count": 0,
          "current": false
        },
        {
          "range": "2.0–2.4",
          "count": 0,
          "current": false
        },
        {
          "range": "2.4–2.8",
          "count": 0,
          "current": false
        },
        {
          "range": "2.8–3.2",
          "count": 0,
          "current": false
        },
        {
          "range": "3.2–3.6",
          "count": 6,
          "current": false
        },
        {
          "range": "3.6–4.0",
          "count": 19,
          "current": true
        }
      ]
    }
  }
]
```

### terms

#### 1192

##### term

1192

##### gpa

3.8461538461538463

##### count

13

##### departments

| subject | comparison |
| ------- | ---------- |
| BME     |            |

#### 1202

##### term

1202

##### gpa

3.90625

##### count

16

##### departments

| subject | comparison |
| ------- | ---------- |
| BME     |            |

#### 1222

##### term

1222

##### gpa

4

##### count

14

##### departments

| subject | comparison |
| ------- | ---------- |
| BME     |            |

#### 1232

##### term

1232

##### gpa

3.6944444444444446

##### count

18

##### departments

| subject | comparison |
| ------- | ---------- |
| BME     |            |

#### 1242

##### term

1242

##### gpa

3.9166666666666665

##### count

12

##### departments

| subject | comparison |
| ------- | ---------- |
| BME     |            |

#### 1252

##### term

1252

##### gpa

3.85

##### count

20

##### departments

| subject | comparison |
| ------- | ---------- |
| BME     |            |

#### 1262

##### term

1262

##### gpa

4

##### count

14

##### departments

| subject | comparison |
| ------- | ---------- |
| BME     |            |

### benchmarks

#### all

##### school

###### size

3353

###### gpa

3.686577768646526

###### top Share

83.59522411144835

###### count

136

##### BME

###### size

25

###### gpa

3.7800556816454334

###### top Share

89.10862878831354

###### count

183

#### terms

##### 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

###### BME

###### size

13

###### gpa

3.7880559546250554

###### top Share

90.30252314010508

###### count

48

##### 1242

###### school

###### size

1295

###### gpa

3.595302892737449

###### top Share

78.36291889885307

###### count

67

###### BME

###### size

12

###### gpa

3.8258396427554033

###### top Share

93.50263006513006

###### count

46.5

##### 1252

###### school

###### size

1333

###### gpa

3.619494049739118

###### top Share

79.71442190500672

###### count

69

###### BME

###### size

13

###### gpa

3.769515870367008

###### top Share

89.30586938082577

###### count

41

##### 1262

###### school

###### size

1320

###### gpa

3.628825763035853

###### top Share

80.21118846327654

###### count

70

###### BME

###### size

14

###### gpa

3.793307456202412

###### top Share

89.53484160389156

###### count

49

## instructor Trends

```json
[
  {
    "uid": "instructor_5d535679c3712935b7a0f321",
    "name": "MEGAN MCCLEAN",
    "count": 89,
    "terms": [
      {
        "term": "1192",
        "count": 13,
        "sections": 1,
        "gpa": 3.8461538461538463
      },
      {
        "term": "1202",
        "count": 16,
        "sections": 1,
        "gpa": 3.90625
      },
      {
        "term": "1222",
        "count": 14,
        "sections": 1,
        "gpa": 4
      },
      {
        "term": "1242",
        "count": 12,
        "sections": 1,
        "gpa": 3.9166666666666665
      },
      {
        "term": "1252",
        "count": 20,
        "sections": 1,
        "gpa": 3.85
      },
      {
        "term": "1262",
        "count": 14,
        "sections": 1,
        "gpa": 4
      }
    ]
  },
  {
    "uid": "instructor_214c790dfa8faa66a26142c7",
    "name": "PAMELA KREEGER",
    "count": 18,
    "terms": [
      {
        "term": "1232",
        "count": 18,
        "sections": 1,
        "gpa": 3.6944444444444446
      }
    ]
  }
]
```

## following

None recorded.
