# COMARTS 377: Topics in Digital Studies (communication Science & Rhetoric) | UW–Madison

[View on UW Courses](https://uwcourses.com/courses/COMARTS_377)

## Dataset

### revision

e243353dcb7d79b7247ced91d69443ef4c2a6349

### repository

twangodev/uwcourses

### schema version

6

### importer version

7

### projection id

94468b7d4154126ca413937bb4738a6d21e0c2277f6fa397a6078ad80a32384f

### observed at

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

### built at

2026-09-10T23:19:01.870283+00:00

### courses

8951

### current instructors

5754

### limited

false

### terms

* 1272
* 1264
* 1262
* 1254
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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

8be7991cbd3baa0dca15e37735bd01b39388bb41bd5be6b9c093ea8ea521a65c

### course id

COMARTS 377

### course uid

course\_33eb53603468d290cdfb1b7a

### catalog version id

af20fbd510e0296cba4c2f38a2faa94bf0c002d81c67b23092fe3dea41d164cb

### course number

377

### subjects

* COMARTS

### title

TOPICS IN DIGITAL STUDIES (COMMUNICATION SCIENCE & RHETORIC)

### description

Explore topics in communication science and rhetoric, with a digital focus.

### requirements text

Sophomore standing

### credit offering ids

None recorded.

### llm job id

enrich-f516c4d3e82cfe326b4f5f54

### llm output id

c3a3acc98000a7887e6b64ffa6b207b65d088834f5fc210efe494afde0846e24

### llm model

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

### llm model revision

1355db6a052410cfd62085d94b58866fd0f2c3c5

### llm task version

14

### llm search status

valid

### llm summary

COMARTS 377 explores topics in communication science and rhetoric with a digital focus.

### llm topics

* Communication science and rhetoric with a digital focus

### llm skills

None recorded.

### llm assumed background

* Students must have achieved sophomore standing in their program.

### llm search phrases

* digital studies communication
* rhetoric digital focus
* communication science topics

### llm requirements status

valid

### llm student summary status

valid

### llm experience status

insufficient\_evidence

### catalog variants

None recorded.

### student summary

#### context hash

0929a5f898d26eba58e73db8963baedda7de5b0b2a6f73902aff44ceb850f68e

#### course id

COMARTS 377

#### current instructors

None recorded.

#### difficulty workload

Historical reviews of Sebastian Scherr: The final exam is worth 45% of the grade, and the instructor reportedly makes no exceptions for alternate final arrangements.

```json
{
  "citations": [
    {
      "instructor_name": "Sebastian Scherr",
      "review_date": "2019-11-14 06:03:17 +0000 UTC",
      "review_id": "1b5a9145a6a5cce92e332493",
      "run_id": "20260907T155543-ce3781c4",
      "source_instructor_id": "rmp:2527203",
      "source_review_id": "UmF0aW5nLTMyNDEyNDgy",
      "source_url": "https://www.ratemyprofessors.com/professor/2527203",
      "type": "review"
    }
  ]
}
```

#### errors

None recorded.

#### historical context

Historical reviews for Sebastian Scherr describe COMARTS 377 as poorly taught with unclear expectations. The course reportedly devolved into a statistics class, causing widespread confusion among students.

```json
{
  "citations": [
    {
      "instructor_name": "Sebastian Scherr",
      "review_date": "2019-11-14 06:03:17 +0000 UTC",
      "review_id": "1b5a9145a6a5cce92e332493",
      "run_id": "20260907T155543-ce3781c4",
      "source_instructor_id": "rmp:2527203",
      "source_review_id": "UmF0aW5nLTMyNDEyNDgy",
      "source_url": "https://www.ratemyprofessors.com/professor/2527203",
      "type": "review"
    }
  ]
}
```

#### offered

false

#### profile hash

e59ddc7389015d0035b68cd195c939d475bf72b959b29cf12eab59b454ccaef1

#### quick take

A historical review of Sebastian Scherr's COMARTS 377 describes a confusing experience where the course devolved into statistics, leading to widespread student regret.

```json
{
  "citations": [
    {
      "instructor_name": "Sebastian Scherr",
      "review_date": "2019-11-14 06:03:17 +0000 UTC",
      "review_id": "1b5a9145a6a5cce92e332493",
      "run_id": "20260907T155543-ce3781c4",
      "source_instructor_id": "rmp:2527203",
      "source_review_id": "UmF0aW5nLTMyNDEyNDgy",
      "source_url": "https://www.ratemyprofessors.com/professor/2527203",
      "type": "review"
    }
  ]
}
```

Recent recorded grades — Spring 2025: 3.60 GPA, 85.7% A/AB (n=49 letter grades); Fall 2025: 3.53 GPA, 75.0% A/AB (n=16 letter grades); Spring 2026: 3.69 GPA, 85.9% A/AB (n=64 letter grades).

```json
{
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```

#### student experience

Historical reviews of Sebastian Scherr: Initial expectations were unclear, causing confusion, and the unexpected focus on statistics was a significant negative factor for students unfamiliar with the subject.

```json
{
  "citations": [
    {
      "instructor_name": "Sebastian Scherr",
      "review_date": "2019-11-14 06:03:17 +0000 UTC",
      "review_id": "1b5a9145a6a5cce92e332493",
      "run_id": "20260907T155543-ce3781c4",
      "source_instructor_id": "rmp:2527203",
      "source_review_id": "UmF0aW5nLTMyNDEyNDgy",
      "source_url": "https://www.ratemyprofessors.com/professor/2527203",
      "type": "review"
    }
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}
```

#### task hash

74fb0997943e888960bbc9e47db8c4fd12e4292d55c20509d8d89db6a9910f68

#### teaching history

SEBASTIAN SCHERR is recorded teaching in Fall 2019, Spring 2020. Recorded history may be incomplete and does not establish a future schedule.

```json
{
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      "course_id": "COMARTS 377",
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      "table": "section_grades_latest",
      "term_id": "1204",
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}
```

#### term id

1272

#### term name

2026 Fall

#### version

2

### requirements

#### nodes

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

#### notes

None recorded.

#### root

n0

#### status

parsed

### instructors

None recorded.

### offerings

None recorded.

### sections

None recorded.

### grade instructors

```json
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  },
  {
    "instructor_uid": "instructor_eca2e067823edd0ec6fef51a",
    "source": "madgrades",
    "source_instructor_id": "5898687",
    "identity_basis": "source_id",
    "identity_status": "source_identified",
    "name": "JUHYUNG SUN",
    "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": 3.497,
      "graded": 457,
      "counts": [
        228,
        128,
        44,
        26,
        18,
        5,
        8
      ],
      "sections": 6
    },
    "instructor_url": "/instructors/JUHYUNG_SUN--instructor_eca2e067823edd0ec6fef51a"
  },
  {
    "instructor_uid": "instructor_90925dd8dcf2136befea012c",
    "source": "madgrades",
    "source_instructor_id": "6802590",
    "identity_basis": "source_id",
    "identity_status": "source_identified",
    "name": "MATTHEW HANNAH",
    "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": 3.688,
      "graded": 64,
      "counts": [
        41,
        14,
        4,
        2,
        3,
        0,
        0
      ],
      "sections": 2
    },
    "instructor_url": "/instructors/MATTHEW_HANNAH--instructor_90925dd8dcf2136befea012c"
  }
]
```

### grades

```json
[
  {
    "run_id": "20260907T155543-ce3781c4",
    "semester": "1272",
    "observed_at": "2026-09-07 15:55:43.033547+00:00",
    "course_id": "COMARTS 377",
    "course_uid": "course_33eb53603468d290cdfb1b7a",
    "term_id": "1202",
    "term_name": "Fall 2019",
    "instructors": [
      "SEBASTIAN SCHERR"
    ],
    "a": 39,
    "ab": 62,
    "b": 57,
    "bc": 21,
    "c": 8,
    "d": 2,
    "f": 3,
    "satisfactory": 0,
    "unsatisfactory": 0,
    "credit": 0,
    "no_credit": 0,
    "passed": 0,
    "incomplete": 2,
    "no_work": 0,
    "not_reported": 0,
    "other": 0,
    "total": 194,
    "source_aliases": [
      "COMARTS 377"
    ]
  },
  {
    "run_id": "20260907T155543-ce3781c4",
    "semester": "1272",
    "observed_at": "2026-09-07 15:55:43.033547+00:00",
    "course_id": "COMARTS 377",
    "course_uid": "course_33eb53603468d290cdfb1b7a",
    "term_id": "1204",
    "term_name": "Spring 2020",
    "instructors": [
      "Michael Xenos",
      "SEBASTIAN SCHERR"
    ],
    "a": 31,
    "ab": 52,
    "b": 21,
    "bc": 8,
    "c": 2,
    "d": 5,
    "f": 0,
    "satisfactory": 30,
    "unsatisfactory": 4,
    "credit": 0,
    "no_credit": 0,
    "passed": 0,
    "incomplete": 0,
    "no_work": 0,
    "not_reported": 0,
    "other": 0,
    "total": 153,
    "source_aliases": [
      "COMARTS 377"
    ]
  },
  {
    "run_id": "20260907T155543-ce3781c4",
    "semester": "1272",
    "observed_at": "2026-09-07 15:55:43.033547+00:00",
    "course_id": "COMARTS 377",
    "course_uid": "course_33eb53603468d290cdfb1b7a",
    "term_id": "1222",
    "term_name": "Fall 2021",
    "instructors": [
      "JULIAN MUELLER-HERBST",
      "Lyn Van Swol"
    ],
    "a": 14,
    "ab": 27,
    "b": 9,
    "bc": 3,
    "c": 3,
    "d": 0,
    "f": 0,
    "satisfactory": 0,
    "unsatisfactory": 1,
    "credit": 0,
    "no_credit": 0,
    "passed": 0,
    "incomplete": 0,
    "no_work": 0,
    "not_reported": 0,
    "other": 0,
    "total": 57,
    "source_aliases": [
      "COMARTS 377"
    ]
  },
  {
    "run_id": "20260907T155543-ce3781c4",
    "semester": "1272",
    "observed_at": "2026-09-07 15:55:43.033547+00:00",
    "course_id": "COMARTS 377",
    "course_uid": "course_33eb53603468d290cdfb1b7a",
    "term_id": "1224",
    "term_name": "Spring 2022",
    "instructors": [
      "Anirban Baishya"
    ],
    "a": 11,
    "ab": 9,
    "b": 3,
    "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": 24,
    "source_aliases": [
      "COMARTS 377"
    ]
  },
  {
    "run_id": "20260907T155543-ce3781c4",
    "semester": "1272",
    "observed_at": "2026-09-07 15:55:43.033547+00:00",
    "course_id": "COMARTS 377",
    "course_uid": "course_33eb53603468d290cdfb1b7a",
    "term_id": "1232",
    "term_name": "Fall 2022",
    "instructors": [
      "Anirban Baishya"
    ],
    "a": 16,
    "ab": 17,
    "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": 38,
    "source_aliases": [
      "COMARTS 377"
    ]
  },
  {
    "run_id": "20260907T155543-ce3781c4",
    "semester": "1272",
    "observed_at": "2026-09-07 15:55:43.033547+00:00",
    "course_id": "COMARTS 377",
    "course_uid": "course_33eb53603468d290cdfb1b7a",
    "term_id": "1234",
    "term_name": "Spring 2023",
    "instructors": [
      "Anirban Baishya"
    ],
    "a": 15,
    "ab": 12,
    "b": 6,
    "bc": 4,
    "c": 0,
    "d": 0,
    "f": 1,
    "satisfactory": 0,
    "unsatisfactory": 0,
    "credit": 0,
    "no_credit": 0,
    "passed": 0,
    "incomplete": 1,
    "no_work": 0,
    "not_reported": 0,
    "other": 0,
    "total": 39,
    "source_aliases": [
      "COMARTS 377"
    ]
  },
  {
    "run_id": "20260907T155543-ce3781c4",
    "semester": "1272",
    "observed_at": "2026-09-07 15:55:43.033547+00:00",
    "course_id": "COMARTS 377",
    "course_uid": "course_33eb53603468d290cdfb1b7a",
    "term_id": "1242",
    "term_name": "Fall 2023",
    "instructors": [
      "Anirban Baishya"
    ],
    "a": 16,
    "ab": 13,
    "b": 7,
    "bc": 0,
    "c": 3,
    "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": 39,
    "source_aliases": [
      "COMARTS 377"
    ]
  },
  {
    "run_id": "20260907T155543-ce3781c4",
    "semester": "1272",
    "observed_at": "2026-09-07 15:55:43.033547+00:00",
    "course_id": "COMARTS 377",
    "course_uid": "course_33eb53603468d290cdfb1b7a",
    "term_id": "1244",
    "term_name": "Spring 2024",
    "instructors": [
      "Anirban Baishya"
    ],
    "a": 8,
    "ab": 13,
    "b": 9,
    "bc": 3,
    "c": 2,
    "d": 1,
    "f": 1,
    "satisfactory": 0,
    "unsatisfactory": 0,
    "credit": 0,
    "no_credit": 0,
    "passed": 0,
    "incomplete": 0,
    "no_work": 0,
    "not_reported": 0,
    "other": 0,
    "total": 37,
    "source_aliases": [
      "COMARTS 377"
    ]
  },
  {
    "run_id": "20260907T155543-ce3781c4",
    "semester": "1272",
    "observed_at": "2026-09-07 15:55:43.033547+00:00",
    "course_id": "COMARTS 377",
    "course_uid": "course_33eb53603468d290cdfb1b7a",
    "term_id": "1252",
    "term_name": "Fall 2024",
    "instructors": [
      "JUHYUNG SUN"
    ],
    "a": 13,
    "ab": 8,
    "b": 3,
    "bc": 0,
    "c": 0,
    "d": 0,
    "f": 0,
    "satisfactory": 1,
    "unsatisfactory": 0,
    "credit": 0,
    "no_credit": 0,
    "passed": 0,
    "incomplete": 0,
    "no_work": 0,
    "not_reported": 0,
    "other": 0,
    "total": 25,
    "source_aliases": [
      "COMARTS 377"
    ]
  },
  {
    "run_id": "20260907T155543-ce3781c4",
    "semester": "1272",
    "observed_at": "2026-09-07 15:55:43.033547+00:00",
    "course_id": "COMARTS 377",
    "course_uid": "course_33eb53603468d290cdfb1b7a",
    "term_id": "1254",
    "term_name": "Spring 2025",
    "instructors": [
      "JUHYUNG SUN"
    ],
    "a": 27,
    "ab": 15,
    "b": 4,
    "bc": 0,
    "c": 2,
    "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": 49,
    "source_aliases": [
      "COMARTS 377"
    ]
  },
  {
    "run_id": "20260907T155543-ce3781c4",
    "semester": "1272",
    "observed_at": "2026-09-07 15:55:43.033547+00:00",
    "course_id": "COMARTS 377",
    "course_uid": "course_33eb53603468d290cdfb1b7a",
    "term_id": "1262",
    "term_name": "Fall 2025",
    "instructors": [
      "Anirban Baishya"
    ],
    "a": 6,
    "ab": 6,
    "b": 3,
    "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": 16,
    "source_aliases": [
      "COMARTS 377"
    ]
  },
  {
    "run_id": "20260907T155543-ce3781c4",
    "semester": "1272",
    "observed_at": "2026-09-07 15:55:43.033547+00:00",
    "course_id": "COMARTS 377",
    "course_uid": "course_33eb53603468d290cdfb1b7a",
    "term_id": "1264",
    "term_name": "Spring 2026",
    "instructors": [
      "Matthew Hannah"
    ],
    "a": 41,
    "ab": 14,
    "b": 4,
    "bc": 2,
    "c": 3,
    "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": 64,
    "source_aliases": [
      "COMARTS 377"
    ]
  }
]
```

### statistics

#### gpa

3.404

#### graded

696

#### counts

* 237
* 248
* 129
* 44
* 24
* 8
* 6

### grade conflicts

None recorded.

### evidence

#### history

* [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course\_33eb53603468d290cdfb1b7a-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course_33eb53603468d290cdfb1b7a-0.json)

#### traces

* [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course\_33eb53603468d290cdfb1b7a-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course_33eb53603468d290cdfb1b7a-0.json)

#### reviews

* [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/reviews/course\_33eb53603468d290cdfb1b7a-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/reviews/course_33eb53603468d290cdfb1b7a-0.json)

#### results

* [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course\_33eb53603468d290cdfb1b7a-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course_33eb53603468d290cdfb1b7a-0.json)

### revision

e243353dcb7d79b7247ced91d69443ef4c2a6349

## context

### all

#### term



#### gpa

3.403735632183908

#### count

696

#### university

##### size

4686

##### gpa Percentile

14

##### count Percentile

88

##### 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 | 13    | false   |
| 2.8–3.2 | 232   | false   |
| 3.2–3.6 | 1116  | true    |
| 3.6–4.0 | 3325  | false   |

#### departments

```json
[
  {
    "subject": "COMARTS",
    "comparison": {
      "size": 85,
      "gpaPercentile": 33,
      "countPercentile": 83,
      "medianCount": 138,
      "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": 8,
          "current": false
        },
        {
          "range": "3.2–3.6",
          "count": 35,
          "current": true
        },
        {
          "range": "3.6–4.0",
          "count": 42,
          "current": false
        }
      ]
    }
  }
]
```

### terms

#### 1202

##### term

1202

##### gpa

3.2005208333333335

##### count

192

##### university

###### size

1102

###### gpa Percentile

21

###### count Percentile

87

###### median Count

68

###### histogram

| range   | count | current |
| ------- | ----- | ------- |
| 0.0–0.4 | 0     | false   |
| 0.4–0.8 | 0     | false   |
| 0.8–1.2 | 0     | false   |
| 1.2–1.6 | 0     | false   |
| 1.6–2.0 | 0     | false   |
| 2.0–2.4 | 1     | false   |
| 2.4–2.8 | 14    | false   |
| 2.8–3.2 | 218   | false   |
| 3.2–3.6 | 371   | true    |
| 3.6–4.0 | 498   | false   |

##### departments

```json
[
  {
    "subject": "COMARTS",
    "comparison": {
      "size": 27,
      "gpaPercentile": 31,
      "countPercentile": 88,
      "medianCount": 95,
      "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": 7,
          "current": false
        },
        {
          "range": "3.2–3.6",
          "count": 11,
          "current": true
        },
        {
          "range": "3.6–4.0",
          "count": 8,
          "current": false
        }
      ]
    }
  }
]
```

#### 1204

##### term

1204

##### gpa

3.3445378151260505

##### count

119

##### university

###### size

1012

###### gpa Percentile

8

###### count Percentile

76

###### median Count

65.5

###### histogram

| range   | count | current |
| ------- | ----- | ------- |
| 0.0–0.4 | 0     | false   |
| 0.4–0.8 | 0     | false   |
| 0.8–1.2 | 0     | false   |
| 1.2–1.6 | 0     | false   |
| 1.6–2.0 | 0     | false   |
| 2.0–2.4 | 0     | false   |
| 2.4–2.8 | 1     | false   |
| 2.8–3.2 | 25    | false   |
| 3.2–3.6 | 301   | true    |
| 3.6–4.0 | 685   | false   |

##### departments

```json
[
  {
    "subject": "COMARTS",
    "comparison": {
      "size": 26,
      "gpaPercentile": 24,
      "countPercentile": 80,
      "medianCount": 81,
      "histogram": [
        {
          "range": "0.0–0.4",
          "count": 0,
          "current": false
        },
        {
          "range": "0.4–0.8",
          "count": 0,
          "current": false
        },
        {
          "range": "0.8–1.2",
          "count": 0,
          "current": false
        },
        {
          "range": "1.2–1.6",
          "count": 0,
          "current": false
        },
        {
          "range": "1.6–2.0",
          "count": 0,
          "current": false
        },
        {
          "range": "2.0–2.4",
          "count": 0,
          "current": false
        },
        {
          "range": "2.4–2.8",
          "count": 0,
          "current": false
        },
        {
          "range": "2.8–3.2",
          "count": 3,
          "current": false
        },
        {
          "range": "3.2–3.6",
          "count": 10,
          "current": true
        },
        {
          "range": "3.6–4.0",
          "count": 13,
          "current": false
        }
      ]
    }
  }
]
```

#### 1222

##### term

1222

##### gpa

3.4107142857142856

##### count

56

##### university

###### size

1157

###### gpa Percentile

31

###### count Percentile

43

###### 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

```json
[
  {
    "subject": "COMARTS",
    "comparison": {
      "size": 26,
      "gpaPercentile": 48,
      "countPercentile": 24,
      "medianCount": 96.5,
      "histogram": [
        {
          "range": "0.0–0.4",
          "count": 0,
          "current": false
        },
        {
          "range": "0.4–0.8",
          "count": 0,
          "current": false
        },
        {
          "range": "0.8–1.2",
          "count": 0,
          "current": false
        },
        {
          "range": "1.2–1.6",
          "count": 0,
          "current": false
        },
        {
          "range": "1.6–2.0",
          "count": 0,
          "current": false
        },
        {
          "range": "2.0–2.4",
          "count": 0,
          "current": false
        },
        {
          "range": "2.4–2.8",
          "count": 0,
          "current": false
        },
        {
          "range": "2.8–3.2",
          "count": 8,
          "current": false
        },
        {
          "range": "3.2–3.6",
          "count": 8,
          "current": true
        },
        {
          "range": "3.6–4.0",
          "count": 10,
          "current": false
        }
      ]
    }
  }
]
```

#### 1224

##### term

1224

##### gpa

3.625

##### count

24

##### departments

| subject | comparison |
| ------- | ---------- |
| COMARTS |            |

#### 1232

##### term

1232

##### gpa

3.6052631578947367

##### count

38

##### university

###### size

1216

###### gpa Percentile

46

###### count Percentile

17

###### 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

```json
[
  {
    "subject": "COMARTS",
    "comparison": {
      "size": 30,
      "gpaPercentile": 66,
      "countPercentile": 14,
      "medianCount": 75.5,
      "histogram": [
        {
          "range": "0.0–0.4",
          "count": 0,
          "current": false
        },
        {
          "range": "0.4–0.8",
          "count": 0,
          "current": false
        },
        {
          "range": "0.8–1.2",
          "count": 0,
          "current": false
        },
        {
          "range": "1.2–1.6",
          "count": 0,
          "current": false
        },
        {
          "range": "1.6–2.0",
          "count": 0,
          "current": false
        },
        {
          "range": "2.0–2.4",
          "count": 0,
          "current": false
        },
        {
          "range": "2.4–2.8",
          "count": 0,
          "current": false
        },
        {
          "range": "2.8–3.2",
          "count": 5,
          "current": false
        },
        {
          "range": "3.2–3.6",
          "count": 14,
          "current": false
        },
        {
          "range": "3.6–4.0",
          "count": 11,
          "current": true
        }
      ]
    }
  }
]
```

#### 1234

##### term

1234

##### gpa

3.4210526315789473

##### count

38

##### university

###### size

1188

###### gpa Percentile

30

###### count Percentile

17

###### median Count

65

###### histogram

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

##### departments

```json
[
  {
    "subject": "COMARTS",
    "comparison": {
      "size": 32,
      "gpaPercentile": 45,
      "countPercentile": 32,
      "medianCount": 71,
      "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": 6,
          "current": false
        },
        {
          "range": "3.2–3.6",
          "count": 19,
          "current": true
        },
        {
          "range": "3.6–4.0",
          "count": 7,
          "current": false
        }
      ]
    }
  }
]
```

#### 1242

##### term

1242

##### gpa

3.5

##### count

39

##### university

###### size

1295

###### gpa Percentile

33

###### count Percentile

22

###### 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": "COMARTS",
    "comparison": {
      "size": 30,
      "gpaPercentile": 59,
      "countPercentile": 17,
      "medianCount": 80,
      "histogram": [
        {
          "range": "0.0–0.4",
          "count": 0,
          "current": false
        },
        {
          "range": "0.4–0.8",
          "count": 0,
          "current": false
        },
        {
          "range": "0.8–1.2",
          "count": 0,
          "current": false
        },
        {
          "range": "1.2–1.6",
          "count": 0,
          "current": false
        },
        {
          "range": "1.6–2.0",
          "count": 0,
          "current": false
        },
        {
          "range": "2.0–2.4",
          "count": 0,
          "current": false
        },
        {
          "range": "2.4–2.8",
          "count": 0,
          "current": false
        },
        {
          "range": "2.8–3.2",
          "count": 7,
          "current": false
        },
        {
          "range": "3.2–3.6",
          "count": 16,
          "current": true
        },
        {
          "range": "3.6–4.0",
          "count": 7,
          "current": false
        }
      ]
    }
  }
]
```

#### 1244

##### term

1244

##### gpa

3.1621621621621623

##### count

37

##### university

###### size

1241

###### gpa Percentile

11

###### count Percentile

15

###### median Count

65

###### histogram

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

##### departments

```json
[
  {
    "subject": "COMARTS",
    "comparison": {
      "size": 28,
      "gpaPercentile": 15,
      "countPercentile": 4,
      "medianCount": 86.5,
      "histogram": [
        {
          "range": "0.0–0.4",
          "count": 0,
          "current": false
        },
        {
          "range": "0.4–0.8",
          "count": 0,
          "current": false
        },
        {
          "range": "0.8–1.2",
          "count": 0,
          "current": false
        },
        {
          "range": "1.2–1.6",
          "count": 0,
          "current": false
        },
        {
          "range": "1.6–2.0",
          "count": 0,
          "current": false
        },
        {
          "range": "2.0–2.4",
          "count": 0,
          "current": false
        },
        {
          "range": "2.4–2.8",
          "count": 0,
          "current": false
        },
        {
          "range": "2.8–3.2",
          "count": 7,
          "current": true
        },
        {
          "range": "3.2–3.6",
          "count": 8,
          "current": false
        },
        {
          "range": "3.6–4.0",
          "count": 13,
          "current": false
        }
      ]
    }
  }
]
```

#### 1252

##### term

1252

##### gpa

3.7083333333333335

##### count

24

##### departments

| subject | comparison |
| ------- | ---------- |
| COMARTS |            |

#### 1254

##### term

1254

##### gpa

3.6020408163265305

##### count

49

##### university

###### size

1289

###### gpa Percentile

41

###### count Percentile

34

###### median Count

66

###### histogram

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

##### departments

```json
[
  {
    "subject": "COMARTS",
    "comparison": {
      "size": 30,
      "gpaPercentile": 62,
      "countPercentile": 31,
      "medianCount": 78,
      "histogram": [
        {
          "range": "0.0–0.4",
          "count": 0,
          "current": false
        },
        {
          "range": "0.4–0.8",
          "count": 0,
          "current": false
        },
        {
          "range": "0.8–1.2",
          "count": 0,
          "current": false
        },
        {
          "range": "1.2–1.6",
          "count": 0,
          "current": false
        },
        {
          "range": "1.6–2.0",
          "count": 0,
          "current": false
        },
        {
          "range": "2.0–2.4",
          "count": 0,
          "current": false
        },
        {
          "range": "2.4–2.8",
          "count": 0,
          "current": false
        },
        {
          "range": "2.8–3.2",
          "count": 3,
          "current": false
        },
        {
          "range": "3.2–3.6",
          "count": 15,
          "current": false
        },
        {
          "range": "3.6–4.0",
          "count": 12,
          "current": true
        }
      ]
    }
  }
]
```

#### 1262

##### term

1262

##### gpa

3.53125

##### count

16

##### departments

| subject | comparison |
| ------- | ---------- |
| COMARTS |            |

#### 1264

##### term

1264

##### gpa

3.6875

##### count

64

##### university

###### size

1283

###### gpa Percentile

49

###### count Percentile

47

###### median Count

66

###### histogram

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

##### departments

```json
[
  {
    "subject": "COMARTS",
    "comparison": {
      "size": 27,
      "gpaPercentile": 58,
      "countPercentile": 35,
      "medianCount": 74,
      "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": 1,
          "current": false
        },
        {
          "range": "3.2–3.6",
          "count": 12,
          "current": false
        },
        {
          "range": "3.6–4.0",
          "count": 14,
          "current": true
        }
      ]
    }
  }
]
```

### benchmarks

#### all

##### school

###### size

4686

###### gpa

3.705148463362153

###### top Share

84.67893333484272

###### count

136

##### COMARTS

###### size

85

###### gpa

3.5432012021217347

###### top Share

76.68435910258985

###### count

138

#### terms

##### 1202

###### school

###### size

1102

###### gpa

3.5102605987403313

###### top Share

72.78244569053733

###### count

68

###### COMARTS

###### size

27

###### gpa

3.364335749309078

###### top Share

66.41219258001094

###### count

95

##### 1204

###### school

###### size

1012

###### gpa

3.703747431523761

###### top Share

84.59811226304916

###### count

65.5

###### COMARTS

###### size

26

###### gpa

3.533538301025854

###### top Share

76.8112410096067

###### count

81

##### 1222

###### school

###### size

1157

###### gpa

3.563052311875811

###### top Share

76.64869058732418

###### count

64

###### COMARTS

###### size

26

###### gpa

3.425339595355296

###### top Share

71.33094737261375

###### count

96.5

##### 1224

###### school

###### size

1171

###### gpa

3.5627882428500937

###### top Share

76.37271640560496

###### count

64

###### COMARTS

###### size

27

###### gpa

3.423141423969633

###### top Share

71.24547597826961

###### count

92

##### 1232

###### school

###### size

1216

###### gpa

3.575457431972425

###### top Share

77.33712216234007

###### count

66

###### COMARTS

###### size

30

###### gpa

3.4557102825662627

###### top Share

72.49448908272576

###### count

75.5

##### 1234

###### school

###### size

1188

###### gpa

3.5799441677552393

###### top Share

77.18256448537606

###### count

65

###### COMARTS

###### size

32

###### gpa

3.4278290803151

###### top Share

72.11190673727351

###### count

71

##### 1242

###### school

###### size

1295

###### gpa

3.595302892737449

###### top Share

78.36291889885307

###### count

67

###### COMARTS

###### size

30

###### gpa

3.428940912570549

###### top Share

71.038166155987

###### count

80

##### 1244

###### school

###### size

1241

###### gpa

3.5975573126929192

###### top Share

78.29036874847135

###### count

65

###### COMARTS

###### size

28

###### gpa

3.516648803444057

###### top Share

76.06487802673743

###### count

86.5

##### 1252

###### school

###### size

1333

###### gpa

3.619494049739118

###### top Share

79.71442190500672

###### count

69

###### COMARTS

###### size

31

###### gpa

3.5801244079825385

###### top Share

79.42677023071607

###### count

73

##### 1254

###### school

###### size

1289

###### gpa

3.6126423469389106

###### top Share

79.48050408754871

###### count

66

###### COMARTS

###### size

30

###### gpa

3.531707043734977

###### top Share

76.72967502634263

###### count

78

##### 1262

###### school

###### size

1320

###### gpa

3.628825763035853

###### top Share

80.21118846327654

###### count

70

###### COMARTS

###### size

27

###### gpa

3.5562425332907366

###### top Share

77.94168111582196

###### count

85

##### 1264

###### school

###### size

1283

###### gpa

3.6229729166451925

###### top Share

80.13669149396227

###### count

66

###### COMARTS

###### size

27

###### gpa

3.5996238457958714

###### top Share

81.73403727867165

###### count

74

## instructor Trends

```json
[
  {
    "uid": "instructor_cab76bb8e40af3bbacf6a443",
    "name": "SEBASTIAN SCHERR",
    "count": 293,
    "terms": [
      {
        "term": "1202",
        "count": 192,
        "sections": 1,
        "gpa": 3.2005208333333335
      },
      {
        "term": "1204",
        "count": 101,
        "sections": 1,
        "gpa": 3.301980198019802
      }
    ]
  },
  {
    "uid": "instructor_f440632626ca8a0af4290576",
    "name": "ANIRBAN BAISHYA",
    "count": 192,
    "terms": [
      {
        "term": "1224",
        "count": 24,
        "sections": 1,
        "gpa": 3.625
      },
      {
        "term": "1232",
        "count": 38,
        "sections": 1,
        "gpa": 3.6052631578947367
      },
      {
        "term": "1234",
        "count": 38,
        "sections": 1,
        "gpa": 3.4210526315789473
      },
      {
        "term": "1242",
        "count": 39,
        "sections": 1,
        "gpa": 3.5
      },
      {
        "term": "1244",
        "count": 37,
        "sections": 1,
        "gpa": 3.1621621621621623
      },
      {
        "term": "1262",
        "count": 16,
        "sections": 1,
        "gpa": 3.53125
      }
    ]
  },
  {
    "uid": "instructor_eca2e067823edd0ec6fef51a",
    "name": "JUHYUNG SUN",
    "count": 73,
    "terms": [
      {
        "term": "1252",
        "count": 24,
        "sections": 1,
        "gpa": 3.7083333333333335
      },
      {
        "term": "1254",
        "count": 49,
        "sections": 1,
        "gpa": 3.6020408163265305
      }
    ]
  },
  {
    "uid": "instructor_90925dd8dcf2136befea012c",
    "name": "MATTHEW HANNAH",
    "count": 64,
    "terms": [
      {
        "term": "1264",
        "count": 64,
        "sections": 2,
        "gpa": 3.6875
      }
    ]
  },
  {
    "uid": "instructor_616f728b25aa788dae3255f1",
    "name": "JULIAN MUELLER-HERBST",
    "count": 56,
    "terms": [
      {
        "term": "1222",
        "count": 56,
        "sections": 1,
        "gpa": 3.4107142857142856
      }
    ]
  },
  {
    "uid": "instructor_ea61cacdeac3811790f54b87",
    "name": "LYN VAN SWOL",
    "count": 56,
    "terms": [
      {
        "term": "1222",
        "count": 56,
        "sections": 1,
        "gpa": 3.4107142857142856
      }
    ]
  },
  {
    "uid": "instructor_1ed286ab4368a34b00a0fc9d",
    "name": "MICHAEL XENOS",
    "count": 18,
    "terms": [
      {
        "term": "1204",
        "count": 18,
        "sections": 1,
        "gpa": 3.5833333333333335
      }
    ]
  }
]
```

## following

None recorded.
