# COMPSCI 200: Programming I | UW–Madison

[View on UW Courses](https://uwcourses.com/courses/COMPSCI_200)

## Dataset

### revision

e243353dcb7d79b7247ced91d69443ef4c2a6349

### repository

twangodev/uwcourses

### schema version

6

### importer version

7

### projection id

52a78527ff09011d88cb04c7d43867d9fbfec2930bf1dd2ec359ebd2844e0b07

### observed at

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### built at

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

### courses

8951

### current instructors

5754

### limited

false

### terms

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### term

1272

### departments

| subject   | count |
| --------- | ----- |
| AAE       | 90    |
| ABT       | 20    |
| ACCTIS    | 36    |
| ACTSCI    | 14    |
| AFAERO    | 10    |
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| ANAT\&PHY | 7     |
| ANATOMY   | 2     |
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| ART       | 125   |
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| ASIALANG  | 129   |
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| ASIANAM   | 28    |
| ASTRON    | 38    |
| ATMOCN    | 69    |
| BIOCHEM   | 51    |
| BIOCORE   | 10    |
| BIOLOGY   | 14    |
| BIOMDSCI  | 18    |
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| BMOLCHEM  | 10    |
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| 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     |
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| DYSCI     | 35    |
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| ECON      | 145   |
| EDPOL     | 114   |
| EDPSYCH   | 97    |
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| EMA       | 53    |
| EMERMED   | 17    |
| ENGL      | 206   |
| ENTOM     | 40    |
| ENVIRST   | 148   |
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| EPD       | 67    |
| ESL       | 16    |
| F\&WECOL  | 60    |
| FAMMED    | 22    |
| FINANCE   | 50    |
| FOLKLORE  | 40    |
| FOODSCI   | 43    |
| FRENCH    | 63    |
| GEN\&WS   | 145   |
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| GENECSLR  | 17    |
| GENETICS  | 60    |
| GEOG      | 113   |
| GEOSCI    | 83    |
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| 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    |
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| LINGUIS   | 35    |
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| 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

57aa94f56968ae1ff2831676b3c812b6cbf0024519bad0dc4a3f2e9b479e8b10

### course id

COMPSCI 200

### course uid

course\_9b1d5f832c492d1c4a3ce19c

### catalog version id

65f6a58b7641a15df922c459c06a319ef2a314c6addaa0c7d1ad195bfb5f0b1b

### course number

200

### subjects

* COMPSCI

### title

PROGRAMMING I

### description

Learn the process of incrementally developing small (200-500 lines) programs along with the fundamental Computer Science topics. These topics include: problem abstraction and decomposition, the edit-compile-run cycle, using variables of primitive and more complex data types, conditional and loop-based flow control, basic testing and debugging techniques, how to define and call functions (methods), and IO processing techniques. Also teaches and reinforces good programming practices including the use of a consistent style, and meaningful documentation. Intended for students who have no prior programming experience.

### requirements text

Satisfied Quantitative Reasoning (QR) A or declared in the Capstone Certificate in Computer Sciences for Professionals

### credits min

3

### credits max

3

### credit offering ids

* 1272:266:024794

### llm job id

enrich-f516c4d3e82cfe326b4f5f54

### llm output id

162195f7771103551aa210284e6e036c31056833d2c27ab2bbc88ac4ac74cd20

### llm model

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

### llm model revision

1355db6a052410cfd62085d94b58866fd0f2c3c5

### llm task version

14

### llm search status

valid

### llm summary

COMPSCI 200 teaches incremental development of small programs and fundamental CS topics like flow control, functions, and debugging for beginners.

### llm topics

* Problem abstraction and decomposition.
* Primitive and complex data types.
* Conditional and loop-based flow control.
* Defining and calling functions.
* IO processing techniques.
* Good programming practices and documentation.

### llm skills

* Incremental program development.
* Problem abstraction and decomposition.
* Edit-compile-run cycle.
* Using primitive and complex data types.
* Conditional and loop-based flow control.
* Basic testing and debugging.
* Defining and calling functions.
* IO processing techniques.

### llm assumed background

* No prior programming experience required.

### llm search phrases

* introductory programming
* computer science fundamentals
* programming for beginners
* small program development

### llm requirements status

needs\_review

### llm student summary status

valid

### llm experience status

valid

### catalog variants

None recorded.

### student summary

#### context hash

a35b3262d46e9f6ce277458f7cf6749f1df90a986359356236d5bb57a820823c

#### course id

COMPSCI 200

#### current instructors

```json
[
  {
    "instructor_uid": "instructor_84e32ce6cb2c21e7efa7f91d",
    "message": null,
    "name": "Andrew Kuemmel",
    "review_status": "supported",
    "rmp_instructor_id": "rmp:1780137",
    "summary": [
      {
        "citations": [
          {
            "instructor_name": "Andrew Kuemmel",
            "review_date": "2024-12-21 23:03:04 +0000 UTC",
            "review_id": "83063c5db921e36dd185c4dc",
            "run_id": "20260907T155543-ce3781c4",
            "source_instructor_id": "rmp:1780137",
            "source_review_id": "UmF0aW5nLTQwNDExMDg5",
            "source_url": "https://www.ratemyprofessors.com/professor/1780137",
            "type": "review"
          },
          {
            "instructor_name": "Andrew Kuemmel",
            "review_date": "2024-12-27 00:43:41 +0000 UTC",
            "review_id": "86d4d4934a212aab17e81c71",
            "run_id": "20260907T155543-ce3781c4",
            "source_instructor_id": "rmp:1780137",
            "source_review_id": "UmF0aW5nLTQwNDQyNTAy",
            "source_url": "https://www.ratemyprofessors.com/professor/1780137",
            "type": "review"
          },
          {
            "instructor_name": "Andrew Kuemmel",
            "review_date": "2025-12-19 02:22:57 +0000 UTC",
            "review_id": "20ac771a4f5df311939fb2aa",
            "run_id": "20260907T155543-ce3781c4",
            "source_instructor_id": "rmp:1780137",
            "source_review_id": "UmF0aW5nLTQyMzQwMTgz",
            "source_url": "https://www.ratemyprofessors.com/professor/1780137",
            "type": "review"
          },
          {
            "instructor_name": "Andrew Kuemmel",
            "review_date": "2025-12-21 03:38:21 +0000 UTC",
            "review_id": "181414c2180265ccd7d3e5e1",
            "run_id": "20260907T155543-ce3781c4",
            "source_instructor_id": "rmp:1780137",
            "source_review_id": "UmF0aW5nLTQyMzY0OTEz",
            "source_url": "https://www.ratemyprofessors.com/professor/1780137",
            "type": "review"
          },
          {
            "instructor_name": "Andrew Kuemmel",
            "review_date": "2026-01-19 23:01:53 +0000 UTC",
            "review_id": "0e29d852450556b034a71c26",
            "run_id": "20260907T155543-ce3781c4",
            "source_instructor_id": "rmp:1780137",
            "source_review_id": "UmF0aW5nLTQyNTIwNjM0",
            "source_url": "https://www.ratemyprofessors.com/professor/1780137",
            "type": "review"
          },
          {
            "instructor_name": "Andrew Kuemmel",
            "review_date": "2026-09-03 19:38:33 +0000 UTC",
            "review_id": "c39f35a142e4c2031951b46a",
            "run_id": "20260907T155543-ce3781c4",
            "source_instructor_id": "rmp:1780137",
            "source_review_id": "UmF0aW5nLTQzNDA2ODA3",
            "source_url": "https://www.ratemyprofessors.com/professor/1780137",
            "type": "review"
          }
        ],
        "text": "Andrew Kuemmel is described as caring, accessible, and accommodating, with lectures that simplify concepts for beginners. Reviewers appreciate his helpfulness and clear labs, though some find his participation requirements and occasional irritability in lecture annoying."
      },
      {
        "citations": [
          {
            "instructor_name": "Andrew Kuemmel",
            "review_date": "2025-12-09 05:30:40 +0000 UTC",
            "review_id": "c3d51f92088afc9af4946d0e",
            "run_id": "20260907T155543-ce3781c4",
            "source_instructor_id": "rmp:1780137",
            "source_review_id": "UmF0aW5nLTQyMTE0NjY4",
            "source_url": "https://www.ratemyprofessors.com/professor/1780137",
            "type": "review"
          },
          {
            "instructor_name": "Andrew Kuemmel",
            "review_date": "2025-12-09 21:21:35 +0000 UTC",
            "review_id": "c47a953dd74838ab86dbb42c",
            "run_id": "20260907T155543-ce3781c4",
            "source_instructor_id": "rmp:1780137",
            "source_review_id": "UmF0aW5nLTQyMTI4MzA3",
            "source_url": "https://www.ratemyprofessors.com/professor/1780137",
            "type": "review"
          },
          {
            "instructor_name": "Andrew Kuemmel",
            "review_date": "2025-12-15 22:32:26 +0000 UTC",
            "review_id": "bf1efe3266b5204fd5b06ee1",
            "run_id": "20260907T155543-ce3781c4",
            "source_instructor_id": "rmp:1780137",
            "source_review_id": "UmF0aW5nLTQyMjY4NDgw",
            "source_url": "https://www.ratemyprofessors.com/professor/1780137",
            "type": "review"
          }
        ],
        "text": "Some reviewers strongly dislike the course structure, citing reliance on an online textbook and useless lectures. They criticize weekly quizzes, lab partnerships, and Honorlock exams, with one reviewer explicitly advising against taking the class."
      },
      {
        "citations": [
          {
            "course_id": "COMPSCI 200",
            "run_id": "20260907T155543-ce3781c4",
            "section_number": 4,
            "source_course_id": "3795cfcc-807e-3ca7-8348-d4a909a42f06",
            "source_record": {
              "entity_id": "3795cfcc-807e-3ca7-8348-d4a909a42f06",
              "file": "tables/observations.parquet",
              "kind": "grades",
              "source": "madgrades"
            },
            "table": "section_grades_latest",
            "term_id": "1252",
            "type": "grade"
          },
          {
            "course_id": "COMPSCI 200",
            "run_id": "20260907T155543-ce3781c4",
            "section_number": 1,
            "source_course_id": "3795cfcc-807e-3ca7-8348-d4a909a42f06",
            "source_record": {
              "entity_id": "3795cfcc-807e-3ca7-8348-d4a909a42f06",
              "file": "tables/observations.parquet",
              "kind": "grades",
              "source": "madgrades"
            },
            "table": "section_grades_latest",
            "term_id": "1262",
            "type": "grade"
          },
          {
            "course_id": "COMPSCI 200",
            "run_id": "20260907T155543-ce3781c4",
            "section_number": 2,
            "source_course_id": "3795cfcc-807e-3ca7-8348-d4a909a42f06",
            "source_record": {
              "entity_id": "3795cfcc-807e-3ca7-8348-d4a909a42f06",
              "file": "tables/observations.parquet",
              "kind": "grades",
              "source": "madgrades"
            },
            "table": "section_grades_latest",
            "term_id": "1262",
            "type": "grade"
          },
          {
            "course_id": "COMPSCI 200",
            "run_id": "20260907T155543-ce3781c4",
            "section_number": 1,
            "source_course_id": "3795cfcc-807e-3ca7-8348-d4a909a42f06",
            "source_record": {
              "entity_id": "3795cfcc-807e-3ca7-8348-d4a909a42f06",
              "file": "tables/observations.parquet",
              "kind": "grades",
              "source": "madgrades"
            },
            "table": "section_grades_latest",
            "term_id": "1264",
            "type": "grade"
          }
        ],
        "text": "Recent recorded grades — Fall 2024: 3.54 GPA, 71.4% A/AB (n=175 letter grades); Fall 2025: 3.52 GPA, 75.0% A/AB (n=492 letter grades); Spring 2026: 3.47 GPA, 64.0% A/AB (n=136 letter grades). Includes jointly taught sections."
      }
    ]
  },
  {
    "instructor_uid": "instructor_0aafaed70d9789f2203d5ed8",
    "message": "No course-specific reviews available",
    "name": "Kathryn Jensen",
    "review_status": "no_course_reviews",
    "rmp_instructor_id": "rmp:2526278",
    "summary": []
  }
]
```

#### difficulty workload

The course relies on an online textbook, with some reviewers finding lectures and labs unhelpful. Workload includes homework due Monday through Thursday and weekly Friday quizzes, which some find annoying but manageable due to open-book formats.

```json
{
  "citations": [
    {
      "instructor_name": "Andrew Kuemmel",
      "review_date": "2024-12-21 23:03:04 +0000 UTC",
      "review_id": "83063c5db921e36dd185c4dc",
      "run_id": "20260907T155543-ce3781c4",
      "source_instructor_id": "rmp:1780137",
      "source_review_id": "UmF0aW5nLTQwNDExMDg5",
      "source_url": "https://www.ratemyprofessors.com/professor/1780137",
      "type": "review"
    },
    {
      "instructor_name": "Andrew Kuemmel",
      "review_date": "2025-12-09 21:21:35 +0000 UTC",
      "review_id": "c47a953dd74838ab86dbb42c",
      "run_id": "20260907T155543-ce3781c4",
      "source_instructor_id": "rmp:1780137",
      "source_review_id": "UmF0aW5nLTQyMTI4MzA3",
      "source_url": "https://www.ratemyprofessors.com/professor/1780137",
      "type": "review"
    },
    {
      "instructor_name": "Andrew Kuemmel",
      "review_date": "2025-12-15 22:32:26 +0000 UTC",
      "review_id": "bf1efe3266b5204fd5b06ee1",
      "run_id": "20260907T155543-ce3781c4",
      "source_instructor_id": "rmp:1780137",
      "source_review_id": "UmF0aW5nLTQyMjY4NDgw",
      "source_url": "https://www.ratemyprofessors.com/professor/1780137",
      "type": "review"
    },
    {
      "instructor_name": "Andrew Kuemmel",
      "review_date": "2025-12-19 02:22:57 +0000 UTC",
      "review_id": "20ac771a4f5df311939fb2aa",
      "run_id": "20260907T155543-ce3781c4",
      "source_instructor_id": "rmp:1780137",
      "source_review_id": "UmF0aW5nLTQyMzQwMTgz",
      "source_url": "https://www.ratemyprofessors.com/professor/1780137",
      "type": "review"
    }
  ]
}
```

#### errors

None recorded.

#### historical context

Historical reviews of Jim Williams: Jim Williams teaches students to think logically and solve problems by dividing large programs into parts, with fast Piazza responses and flexible grading. However, some students find his lectures useless and the workload excessive, requiring over 12 hours of homework weekly.

```json
{
  "citations": [
    {
      "instructor_name": "Jim Williams",
      "review_date": "2017-10-29 12:07:24 +0000 UTC",
      "review_id": "fced23c0e3f008d69bce6060",
      "run_id": "20260907T155543-ce3781c4",
      "source_instructor_id": "rmp:2195385",
      "source_review_id": "UmF0aW5nLTI4Nzk4MTMw",
      "source_url": "https://www.ratemyprofessors.com/professor/2195385",
      "type": "review"
    },
    {
      "instructor_name": "Jim Williams",
      "review_date": "2018-05-09 11:50:11 +0000 UTC",
      "review_id": "b724afdf0bd19b37b5c33448",
      "run_id": "20260907T155543-ce3781c4",
      "source_instructor_id": "rmp:2195385",
      "source_review_id": "UmF0aW5nLTMwMDM3NDM2",
      "source_url": "https://www.ratemyprofessors.com/professor/2195385",
      "type": "review"
    },
    {
      "instructor_name": "Jim Williams",
      "review_date": "2021-05-07 01:08:47 +0000 UTC",
      "review_id": "f7858abda6111858a799abb6",
      "run_id": "20260907T155543-ce3781c4",
      "source_instructor_id": "rmp:2195385",
      "source_review_id": "UmF0aW5nLTM0NzI4NjY5",
      "source_url": "https://www.ratemyprofessors.com/professor/2195385",
      "type": "review"
    },
    {
      "instructor_name": "Jim Williams",
      "review_date": "2022-05-02 19:00:11 +0000 UTC",
      "review_id": "7b063776eb2b61e9859704d3",
      "run_id": "20260907T155543-ce3781c4",
      "source_instructor_id": "rmp:2195385",
      "source_review_id": "UmF0aW5nLTM2MjE2MjI3",
      "source_url": "https://www.ratemyprofessors.com/professor/2195385",
      "type": "review"
    },
    {
      "instructor_name": "Jim Williams",
      "review_date": "2023-04-25 22:04:41 +0000 UTC",
      "review_id": "491ed0e2f6f632ba8e593eed",
      "run_id": "20260907T155543-ce3781c4",
      "source_instructor_id": "rmp:2195385",
      "source_review_id": "UmF0aW5nLTM3NzE3ODk1",
      "source_url": "https://www.ratemyprofessors.com/professor/2195385",
      "type": "review"
    },
    {
      "instructor_name": "Jim Williams",
      "review_date": "2025-05-21 15:43:22 +0000 UTC",
      "review_id": "804df9235a7707918e2d025b",
      "run_id": "20260907T155543-ce3781c4",
      "source_instructor_id": "rmp:2195385",
      "source_review_id": "UmF0aW5nLTQxMzM4Mzc3",
      "source_url": "https://www.ratemyprofessors.com/professor/2195385",
      "type": "review"
    }
  ]
}
```

#### offered

true

#### profile hash

e59ddc7389015d0035b68cd195c939d475bf72b959b29cf12eab59b454ccaef1

#### quick take

Andrew Kuemmel is described as caring, accessible, and effective at explaining concepts to beginners. Reviewers highlight his helpfulness and clear labs, though one notes he can be irritable and forces participation.

```json
{
  "citations": [
    {
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      "source_instructor_id": "rmp:1780137",
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    {
      "instructor_name": "Andrew Kuemmel",
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    {
      "instructor_name": "Andrew Kuemmel",
      "review_date": "2025-12-21 03:38:21 +0000 UTC",
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      "source_url": "https://www.ratemyprofessors.com/professor/1780137",
      "type": "review"
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    {
      "instructor_name": "Andrew Kuemmel",
      "review_date": "2026-01-19 23:01:53 +0000 UTC",
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      "run_id": "20260907T155543-ce3781c4",
      "source_instructor_id": "rmp:1780137",
      "source_review_id": "UmF0aW5nLTQyNTIwNjM0",
      "source_url": "https://www.ratemyprofessors.com/professor/1780137",
      "type": "review"
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    {
      "instructor_name": "Andrew Kuemmel",
      "review_date": "2026-09-03 19:38:33 +0000 UTC",
      "review_id": "c39f35a142e4c2031951b46a",
      "run_id": "20260907T155543-ce3781c4",
      "source_instructor_id": "rmp:1780137",
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      "source_url": "https://www.ratemyprofessors.com/professor/1780137",
      "type": "review"
    }
  ]
}
```

Recent recorded grades — Spring 2025: 3.54 GPA, 73.7% A/AB (n=255 letter grades); Fall 2025: 3.52 GPA, 75.0% A/AB (n=492 letter grades); Spring 2026: 3.47 GPA, 64.0% A/AB (n=136 letter grades).

```json
{
  "citations": [
    {
      "course_id": "COMPSCI 200",
      "run_id": "20260907T155543-ce3781c4",
      "source_record": {
        "entity_id": "3795cfcc-807e-3ca7-8348-d4a909a42f06",
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      },
      "table": "grades_latest",
      "term_id": "1254",
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        "file": "tables/observations.parquet",
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        "source": "madgrades"
      },
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      "term_id": "1262",
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        "file": "tables/observations.parquet",
        "kind": "grades",
        "source": "madgrades"
      },
      "table": "grades_latest",
      "term_id": "1264",
      "type": "grade"
    }
  ]
}
```

#### student experience

Students value Kuemmel's availability for feedback and clear materials. However, the hybrid structure, mandatory TopHat attendance, and weekly Honorlock quizzes are cited as frustrating aspects of the course experience.

```json
{
  "citations": [
    {
      "instructor_name": "Andrew Kuemmel",
      "review_date": "2024-12-21 23:03:04 +0000 UTC",
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    {
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      "review_date": "2025-12-09 21:21:35 +0000 UTC",
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      "source_instructor_id": "rmp:1780137",
      "source_review_id": "UmF0aW5nLTQyMTI4MzA3",
      "source_url": "https://www.ratemyprofessors.com/professor/1780137",
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      "instructor_name": "Andrew Kuemmel",
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      "source_url": "https://www.ratemyprofessors.com/professor/1780137",
      "type": "review"
    }
  ]
}
```

#### task hash

74fb0997943e888960bbc9e47db8c4fd12e4292d55c20509d8d89db6a9910f68

#### teaching history

ANDREW KUEMMEL is recorded teaching in Fall 2024, Fall 2025, Spring 2026. Recorded history may be incomplete and does not establish a future schedule.

```json
{
  "citations": [
    {
      "course_id": "COMPSCI 200",
      "run_id": "20260907T155543-ce3781c4",
      "section_number": 4,
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      "source_record": {
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      },
      "table": "section_grades_latest",
      "term_id": "1252",
      "type": "grade"
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      "section_number": 1,
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        "file": "tables/observations.parquet",
        "kind": "grades",
        "source": "madgrades"
      },
      "table": "section_grades_latest",
      "term_id": "1262",
      "type": "grade"
    },
    {
      "course_id": "COMPSCI 200",
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      },
      "table": "section_grades_latest",
      "term_id": "1262",
      "type": "grade"
    },
    {
      "course_id": "COMPSCI 200",
      "run_id": "20260907T155543-ce3781c4",
      "section_number": 1,
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        "file": "tables/observations.parquet",
        "kind": "grades",
        "source": "madgrades"
      },
      "table": "section_grades_latest",
      "term_id": "1264",
      "type": "grade"
    }
  ]
}
```

MARC RENAULT is recorded teaching in Fall 2017, Spring 2018, Fall 2018, Spring 2019, Fall 2019, Fall 2020. Recorded history may be incomplete and does not establish a future schedule.

```json
{
  "citations": [
    {
      "course_id": "COMPSCI 200",
      "run_id": "20260907T155543-ce3781c4",
      "section_number": 3,
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      "source_record": {
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        "file": "tables/observations.parquet",
        "kind": "grades",
        "source": "madgrades"
      },
      "table": "section_grades_latest",
      "term_id": "1182",
      "type": "grade"
    },
    {
      "course_id": "COMPSCI 200",
      "run_id": "20260907T155543-ce3781c4",
      "section_number": 4,
      "source_course_id": "3795cfcc-807e-3ca7-8348-d4a909a42f06",
      "source_record": {
        "entity_id": "3795cfcc-807e-3ca7-8348-d4a909a42f06",
        "file": "tables/observations.parquet",
        "kind": "grades",
        "source": "madgrades"
      },
      "table": "section_grades_latest",
      "term_id": "1182",
      "type": "grade"
    },
    {
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      "run_id": "20260907T155543-ce3781c4",
      "section_number": 3,
      "source_course_id": "3795cfcc-807e-3ca7-8348-d4a909a42f06",
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        "file": "tables/observations.parquet",
        "kind": "grades",
        "source": "madgrades"
      },
      "table": "section_grades_latest",
      "term_id": "1184",
      "type": "grade"
    },
    {
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      "run_id": "20260907T155543-ce3781c4",
      "section_number": 4,
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      "source_record": {
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      },
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    },
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      "section_number": 3,
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        "file": "tables/observations.parquet",
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        "source": "madgrades"
      },
      "table": "section_grades_latest",
      "term_id": "1192",
      "type": "grade"
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        "file": "tables/observations.parquet",
        "kind": "grades",
        "source": "madgrades"
      },
      "table": "section_grades_latest",
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        "file": "tables/observations.parquet",
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        "source": "madgrades"
      },
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        "file": "tables/observations.parquet",
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      },
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      "term_id": "1202",
      "type": "grade"
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        "file": "tables/observations.parquet",
        "kind": "grades",
        "source": "madgrades"
      },
      "table": "section_grades_latest",
      "term_id": "1212",
      "type": "grade"
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        "source": "madgrades"
      },
      "table": "section_grades_latest",
      "term_id": "1212",
      "type": "grade"
    }
  ]
}
```

#### term id

1272

#### term name

2026 Fall

#### version

2

### requirements

#### nodes

```json
[
  {
    "children": [
      "n1",
      "n2"
    ],
    "condition": null,
    "course": null,
    "evidence": "Satisfied Quantitative Reasoning (QR) A or declared in the Capstone Certificate in Computer Sciences for Professionals",
    "id": "n0",
    "kind": "any"
  },
  {
    "children": [],
    "condition": "Satisfied Quantitative Reasoning (QR) A",
    "course": null,
    "evidence": "Satisfied Quantitative Reasoning (QR) A",
    "id": "n1",
    "kind": "condition"
  },
  {
    "children": [],
    "condition": "declared in the Capstone Certificate in Computer Sciences for Professionals",
    "course": null,
    "evidence": "declared in the Capstone Certificate in Computer Sciences for Professionals",
    "id": "n2",
    "kind": "condition"
  }
]
```

#### notes

* Quantitative Reasoning (QR) A is an unlinked course/requirement mention; identity unclear.

#### root

n0

#### status

needs\_review

### instructors

```json
[
  {
    "instructor_uid": "instructor_84e32ce6cb2c21e7efa7f91d",
    "source": "enrollment",
    "source_instructor_id": "kuemmel",
    "identity_basis": "netid",
    "identity_status": "source_identified",
    "name": "Andrew Kuemmel",
    "email": "KUEMMEL@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",
    "ratings": {
      "review_count": 53,
      "quality": 3.83,
      "difficulty": 2.57,
      "quality_count": 53,
      "difficulty_count": 53,
      "profile_id": "rmp:1780137",
      "source_url": "https://www.ratemyprofessors.com/professor/1780137",
      "match_basis": "exact_name",
      "observed_at": "2026-09-07 16:55:25.683249+00:00",
      "courses": {
        "course_9b1d5f832c492d1c4a3ce19c": {
          "review_count": 16,
          "quality": 3.06,
          "difficulty": 2.75,
          "quality_count": 16,
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        },
        "course_834bc468ca49d8090d0f211f": {
          "review_count": 11,
          "quality": 4.18,
          "difficulty": 2.91,
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          "difficulty_count": 11
        },
        "course_225541a560a0e4df0ee57e76": {
          "review_count": 2,
          "quality": 5,
          "difficulty": 1,
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          "difficulty_count": 2
        },
        "course_583cd0f265d9f29704ca13ea": {
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        "course_37a551eb9007bebe6a41c6b3": {
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          "difficulty_count": 4
        }
      },
      "bayesian_quality": 3.7833385708346836,
      "prior_mean": 3.6596857835465957,
      "prior_weight": 20
    },
    "instructor_url": "/instructors/ANDREW_KUEMMEL"
  },
  {
    "instructor_uid": "instructor_0aafaed70d9789f2203d5ed8",
    "source": "enrollment",
    "source_instructor_id": "kjensen29",
    "identity_basis": "netid",
    "identity_status": "source_identified",
    "name": "Kathryn Jensen",
    "email": "KJENSEN29@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/KATHRYN_JENSEN"
  }
]
```

### offerings

```json
[
  {
    "run_id": "20260907T155543-ce3781c4",
    "semester": "1272",
    "observed_at": "2026-09-07 15:55:43.033547+00:00",
    "offering_id": "1272:266:024794",
    "course_id": "COMPSCI 200",
    "course_uid": "course_9b1d5f832c492d1c4a3ce19c",
    "term_id": "1272",
    "source_course_id": "024794",
    "source_subject_id": "266",
    "title": "Programming I",
    "credits_min": 3,
    "credits_max": 3,
    "typically_offered": "Fall, Spring, Summer"
  }
]
```

### sections

```json
[
  {
    "run_id": "20260907T155543-ce3781c4",
    "observed_at": "2026-09-07 15:55:43.033547+00:00",
    "section_uid": "uw-section:1272:31630",
    "term_id": "1272",
    "source_section_id": "31630",
    "identity_basis": "class_number",
    "section_number": "001",
    "section_type": "LEC",
    "instruction_mode": "Classroom Instruction",
    "capacity": 200,
    "enrolled": 200,
    "waitlisted": 0,
    "start_date": "2026-09-02 05:00:00+00:00",
    "end_date": "2026-12-09 06:00:00+00:00"
  },
  {
    "run_id": "20260907T155543-ce3781c4",
    "observed_at": "2026-09-07 15:55:43.033547+00:00",
    "section_uid": "uw-section:1272:31632",
    "term_id": "1272",
    "source_section_id": "31632",
    "identity_basis": "class_number",
    "section_number": "002",
    "section_type": "LEC",
    "instruction_mode": "Classroom Instruction",
    "capacity": 203,
    "enrolled": 189,
    "waitlisted": 0,
    "start_date": "2026-09-02 05:00:00+00:00",
    "end_date": "2026-12-09 06:00:00+00:00"
  },
  {
    "run_id": "20260907T155543-ce3781c4",
    "observed_at": "2026-09-07 15:55:43.033547+00:00",
    "section_uid": "uw-section:1272:31633",
    "term_id": "1272",
    "source_section_id": "31633",
    "identity_basis": "class_number",
    "section_number": "321",
    "section_type": "LAB",
    "instruction_mode": "Classroom Instruction",
    "capacity": 75,
    "enrolled": 65,
    "waitlisted": 0,
    "start_date": "2026-09-02 05:00:00+00:00",
    "end_date": "2026-12-09 06:00:00+00:00"
  },
  {
    "run_id": "20260907T155543-ce3781c4",
    "observed_at": "2026-09-07 15:55:43.033547+00:00",
    "section_uid": "uw-section:1272:31766",
    "term_id": "1272",
    "source_section_id": "31766",
    "identity_basis": "class_number",
    "section_number": "311",
    "section_type": "LAB",
    "instruction_mode": "Classroom Instruction",
    "capacity": 40,
    "enrolled": 40,
    "waitlisted": 0,
    "start_date": "2026-09-02 05:00:00+00:00",
    "end_date": "2026-12-09 06:00:00+00:00"
  },
  {
    "run_id": "20260907T155543-ce3781c4",
    "observed_at": "2026-09-07 15:55:43.033547+00:00",
    "section_uid": "uw-section:1272:31767",
    "term_id": "1272",
    "source_section_id": "31767",
    "identity_basis": "class_number",
    "section_number": "312",
    "section_type": "LAB",
    "instruction_mode": "Classroom Instruction",
    "capacity": 40,
    "enrolled": 40,
    "waitlisted": 0,
    "start_date": "2026-09-02 05:00:00+00:00",
    "end_date": "2026-12-09 06:00:00+00:00"
  },
  {
    "run_id": "20260907T155543-ce3781c4",
    "observed_at": "2026-09-07 15:55:43.033547+00:00",
    "section_uid": "uw-section:1272:31768",
    "term_id": "1272",
    "source_section_id": "31768",
    "identity_basis": "class_number",
    "section_number": "313",
    "section_type": "LAB",
    "instruction_mode": "Classroom Instruction",
    "capacity": 40,
    "enrolled": 40,
    "waitlisted": 0,
    "start_date": "2026-09-02 05:00:00+00:00",
    "end_date": "2026-12-09 06:00:00+00:00"
  },
  {
    "run_id": "20260907T155543-ce3781c4",
    "observed_at": "2026-09-07 15:55:43.033547+00:00",
    "section_uid": "uw-section:1272:31770",
    "term_id": "1272",
    "source_section_id": "31770",
    "identity_basis": "class_number",
    "section_number": "314",
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    "instruction_mode": "Classroom Instruction",
    "capacity": 40,
    "enrolled": 40,
    "waitlisted": 0,
    "start_date": "2026-09-02 05:00:00+00:00",
    "end_date": "2026-12-09 06:00:00+00:00"
  },
  {
    "run_id": "20260907T155543-ce3781c4",
    "observed_at": "2026-09-07 15:55:43.033547+00:00",
    "section_uid": "uw-section:1272:31771",
    "term_id": "1272",
    "source_section_id": "31771",
    "identity_basis": "class_number",
    "section_number": "315",
    "section_type": "LAB",
    "instruction_mode": "Classroom Instruction",
    "capacity": 40,
    "enrolled": 40,
    "waitlisted": 0,
    "start_date": "2026-09-02 05:00:00+00:00",
    "end_date": "2026-12-09 06:00:00+00:00"
  },
  {
    "run_id": "20260907T155543-ce3781c4",
    "observed_at": "2026-09-07 15:55:43.033547+00:00",
    "section_uid": "uw-section:1272:31772",
    "term_id": "1272",
    "source_section_id": "31772",
    "identity_basis": "class_number",
    "section_number": "322",
    "section_type": "LAB",
    "instruction_mode": "Classroom Instruction",
    "capacity": 57,
    "enrolled": 56,
    "waitlisted": 0,
    "start_date": "2026-09-02 05:00:00+00:00",
    "end_date": "2026-12-09 06:00:00+00:00"
  },
  {
    "run_id": "20260907T155543-ce3781c4",
    "observed_at": "2026-09-07 15:55:43.033547+00:00",
    "section_uid": "uw-section:1272:31775",
    "term_id": "1272",
    "source_section_id": "31775",
    "identity_basis": "class_number",
    "section_number": "323",
    "section_type": "LAB",
    "instruction_mode": "Classroom Instruction",
    "capacity": 42,
    "enrolled": 41,
    "waitlisted": 0,
    "start_date": "2026-09-02 05:00:00+00:00",
    "end_date": "2026-12-09 06:00:00+00:00"
  },
  {
    "run_id": "20260907T155543-ce3781c4",
    "observed_at": "2026-09-07 15:55:43.033547+00:00",
    "section_uid": "uw-section:1272:31776",
    "term_id": "1272",
    "source_section_id": "31776",
    "identity_basis": "class_number",
    "section_number": "324",
    "section_type": "LAB",
    "instruction_mode": "Classroom Instruction",
    "capacity": 29,
    "enrolled": 27,
    "waitlisted": 0,
    "start_date": "2026-09-02 05:00:00+00:00",
    "end_date": "2026-12-09 06:00:00+00:00"
  }
]
```

### grade instructors

```json
[
  {
    "instructor_uid": "instructor_1f5d168396278931b444b48c",
    "source": "madgrades",
    "source_instructor_id": "6043085",
    "identity_basis": "source_id",
    "identity_status": "source_identified",
    "name": "MARC RENAULT",
    "email": null,
    "first_observed_at": "2026-09-06 23:14:58.172943+00:00",
    "last_observed_at": "2026-09-07 15:55:43.033547+00:00",
    "ratings": {
      "review_count": 168,
      "quality": 2.33,
      "difficulty": 4.2,
      "quality_count": 168,
      "difficulty_count": 168,
      "profile_id": "rmp:2316450",
      "source_url": "https://www.ratemyprofessors.com/professor/2316450",
      "match_basis": "exact_name",
      "observed_at": "2026-09-07 16:21:19.997838+00:00",
      "courses": {
        "course_de12e29109d0c90ee086fcec": {
          "review_count": 124,
          "quality": 1.77,
          "difficulty": 4.5,
          "quality_count": 124,
          "difficulty_count": 124
        },
        "course_9a1a7bf1933981bcbaca47ac": {
          "review_count": 6,
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          "difficulty": 3.67,
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          "difficulty_count": 6
        },
        "course_9b1d5f832c492d1c4a3ce19c": {
          "review_count": 35,
          "quality": 4.09,
          "difficulty": 3.23,
          "quality_count": 35,
          "difficulty_count": 35
        },
        "course_37a551eb9007bebe6a41c6b3": {
          "review_count": 2,
          "quality": 5,
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          "quality_count": 2,
          "difficulty_count": 2
        }
      },
      "bayesian_quality": 2.4714559344198506,
      "prior_mean": 3.6596857835465957,
      "prior_weight": 20
    },
    "grade_statistics": {
      "gpa": 2.991,
      "graded": 6001,
      "counts": [
        1629,
        991,
        1438,
        788,
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        383,
        123
      ],
      "sections": 49
    },
    "instructor_url": "/instructors/MARC_RENAULT--instructor_1f5d168396278931b444b48c"
  },
  {
    "instructor_uid": "instructor_936cdb26a5aba1265cc76fd5",
    "source": "madgrades",
    "source_instructor_id": "3466264",
    "identity_basis": "source_id",
    "identity_status": "source_identified",
    "name": "JAMES WILLIAMS",
    "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": 3.262,
      "graded": 7022,
      "counts": [
        2878,
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        1380,
        563,
        468,
        225,
        170
      ],
      "sections": 48
    },
    "instructor_url": "/instructors/JAMES_WILLIAMS"
  },
  {
    "instructor_uid": "instructor_6e3cc29096acb24400d61c08",
    "source": "madgrades",
    "source_instructor_id": "4912452",
    "identity_basis": "source_id",
    "identity_status": "source_identified",
    "name": "ELLIOTT JANSSEN SALDIVAR",
    "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": 3.63,
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      "counts": [
        102,
        48,
        26,
        4,
        1,
        2,
        1
      ],
      "sections": 1
    },
    "instructor_url": "/instructors/ELLIOTT_JANSSEN_SALDIVAR"
  },
  {
    "instructor_uid": "instructor_7c4b145b21d0db101e4c827b",
    "source": "madgrades",
    "source_instructor_id": "5191414",
    "identity_basis": "source_id",
    "identity_status": "source_identified",
    "name": "TIMOTHY WILDER",
    "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": 3.63,
      "graded": 184,
      "counts": [
        102,
        48,
        26,
        4,
        1,
        2,
        1
      ],
      "sections": 1
    },
    "instructor_url": "/instructors/TIMOTHY_WILDER"
  },
  {
    "instructor_uid": "instructor_7ec3981075fcf6c84d7aa9a6",
    "source": "madgrades",
    "source_instructor_id": "5547163",
    "identity_basis": "source_id",
    "identity_status": "source_identified",
    "name": "RUIHAN TONG",
    "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": 3.459,
      "graded": 146,
      "counts": [
        70,
        30,
        29,
        8,
        5,
        3,
        1
      ],
      "sections": 1
    },
    "instructor_url": "/instructors/RUIHAN_TONG--instructor_7ec3981075fcf6c84d7aa9a6"
  },
  {
    "instructor_uid": "instructor_96b325e7127b8b7fbf4d4712",
    "source": "madgrades",
    "source_instructor_id": "6215586",
    "identity_basis": "source_id",
    "identity_status": "source_identified",
    "name": "MARK POWERS",
    "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": 3.459,
      "graded": 146,
      "counts": [
        70,
        30,
        29,
        8,
        5,
        3,
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      ],
      "sections": 1
    },
    "instructor_url": "/instructors/MARK_POWERS--instructor_96b325e7127b8b7fbf4d4712"
  },
  {
    "instructor_uid": "instructor_a5858520a3da7f3606cf6833",
    "source": "madgrades",
    "source_instructor_id": "6208042",
    "identity_basis": "source_id",
    "identity_status": "source_identified",
    "name": "RUI HUANG",
    "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": {
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      ],
      "sections": 1
    },
    "instructor_url": "/instructors/RUI_HUANG--instructor_a5858520a3da7f3606cf6833"
  },
  {
    "instructor_uid": "instructor_b138dae11336151eda765c39",
    "source": "madgrades",
    "source_instructor_id": "6217974",
    "identity_basis": "source_id",
    "identity_status": "source_identified",
    "name": "AMOS KENDALL",
    "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": 3.63,
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      "counts": [
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      ],
      "sections": 1
    },
    "instructor_url": "/instructors/AMOS_KENDALL--instructor_b138dae11336151eda765c39"
  },
  {
    "instructor_uid": "instructor_c80b18ee2348a13ad8f3147f",
    "source": "madgrades",
    "source_instructor_id": "6220892",
    "identity_basis": "source_id",
    "identity_status": "source_identified",
    "name": "YANAN WANG",
    "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": 3.588,
      "graded": 222,
      "counts": [
        133,
        37,
        32,
        10,
        5,
        4,
        1
      ],
      "sections": 2
    },
    "instructor_url": "/instructors/YANAN_WANG--instructor_c80b18ee2348a13ad8f3147f"
  },
  {
    "instructor_uid": "instructor_6d94e970032c92a41ffed8e9",
    "source": "madgrades",
    "source_instructor_id": "506546",
    "identity_basis": "source_id",
    "identity_status": "source_identified",
    "name": "ANDREW KUEMMEL",
    "email": null,
    "first_observed_at": "2026-09-06 23:14:58.172943+00:00",
    "last_observed_at": "2026-09-07 15:55:43.033547+00:00",
    "ratings": {
      "review_count": 53,
      "quality": 3.83,
      "difficulty": 2.57,
      "quality_count": 53,
      "difficulty_count": 53,
      "profile_id": "rmp:1780137",
      "source_url": "https://www.ratemyprofessors.com/professor/1780137",
      "match_basis": "exact_name",
      "observed_at": "2026-09-07 16:55:25.683249+00:00",
      "courses": {
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        },
        "course_834bc468ca49d8090d0f211f": {
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          "difficulty": 2.91,
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          "difficulty_count": 11
        },
        "course_225541a560a0e4df0ee57e76": {
          "review_count": 2,
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          "difficulty_count": 2
        },
        "course_583cd0f265d9f29704ca13ea": {
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          "difficulty": 1.67,
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          "difficulty_count": 3
        },
        "course_37a551eb9007bebe6a41c6b3": {
          "review_count": 2,
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          "difficulty": 1.5,
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        },
        "course_15b3f0bfce126907b8d418aa": {
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          "difficulty": 2.75,
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          "difficulty_count": 4
        }
      },
      "bayesian_quality": 3.7833385708346836,
      "prior_mean": 3.6596857835465957,
      "prior_weight": 20
    },
    "grade_statistics": {
      "gpa": 3.596,
      "graded": 3157,
      "counts": [
        1849,
        619,
        445,
        116,
        68,
        30,
        30
      ],
      "sections": 107
    },
    "instructor_url": "/instructors/ANDREW_KUEMMEL--instructor_6d94e970032c92a41ffed8e9"
  },
  {
    "instructor_uid": "instructor_05f60c29753c2e72a3dd9aa4",
    "source": "madgrades",
    "source_instructor_id": "6769153",
    "identity_basis": "source_id",
    "identity_status": "source_identified",
    "name": "MINGUK CHOI",
    "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": 3.53,
      "graded": 300,
      "counts": [
        159,
        68,
        43,
        12,
        11,
        4,
        3
      ],
      "sections": 2
    },
    "instructor_url": "/instructors/MINGUK_CHOI"
  },
  {
    "instructor_uid": "instructor_0894962b16bbfccf1aa82ab6",
    "source": "madgrades",
    "source_instructor_id": "6762302",
    "identity_basis": "source_id",
    "identity_status": "source_identified",
    "name": "YICHEN WANG",
    "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": 3.656,
      "graded": 435,
      "counts": [
        287,
        68,
        49,
        13,
        10,
        5,
        3
      ],
      "sections": 2
    },
    "instructor_url": "/instructors/YICHEN_WANG"
  },
  {
    "instructor_uid": "instructor_158fc6ec42954520c2c24c0f",
    "source": "madgrades",
    "source_instructor_id": "6769927",
    "identity_basis": "source_id",
    "identity_status": "source_identified",
    "name": "PEICHEN GUO",
    "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": 3.57,
      "graded": 336,
      "counts": [
        174,
        81,
        55,
        16,
        6,
        3,
        1
      ],
      "sections": 2
    },
    "instructor_url": "/instructors/PEICHEN_GUO"
  },
  {
    "instructor_uid": "instructor_4c0eee064a8673f45bf151b4",
    "source": "madgrades",
    "source_instructor_id": "6553938",
    "identity_basis": "source_id",
    "identity_status": "source_identified",
    "name": "SRISHTI LODHA",
    "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": 3.479,
      "graded": 242,
      "counts": [
        126,
        51,
        34,
        13,
        10,
        5,
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      ],
      "sections": 1
    },
    "instructor_url": "/instructors/SRISHTI_LODHA--instructor_4c0eee064a8673f45bf151b4"
  },
  {
    "instructor_uid": "instructor_8957dc162525f5a14ca7f1e9",
    "source": "madgrades",
    "source_instructor_id": "6118605",
    "identity_basis": "source_id",
    "identity_status": "source_identified",
    "name": "CHRISTIAN CLASSEN",
    "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": 3.531,
      "graded": 386,
      "counts": [
        191,
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      ],
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    },
    "instructor_url": "/instructors/CHRISTIAN_CLASSEN--instructor_8957dc162525f5a14ca7f1e9"
  },
  {
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]
```

### grades

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    "term_name": "Spring 2026",
    "instructors": [
      "Andrew Kuemmel",
      "CHRISTIAN CLASSEN",
      "JONATHAN GREGORY",
      "JOSHUA GRISMER"
    ],
    "a": 59,
    "ab": 28,
    "b": 38,
    "bc": 7,
    "c": 3,
    "d": 0,
    "f": 1,
    "satisfactory": 0,
    "unsatisfactory": 0,
    "credit": 0,
    "no_credit": 0,
    "passed": 0,
    "incomplete": 6,
    "no_work": 0,
    "not_reported": 0,
    "other": 0,
    "total": 142,
    "source_aliases": [
      "COMPSCI 200"
    ]
  }
]
```

### statistics

#### gpa

3.252

#### graded

9287

#### counts

* 3777
* 1730
* 1811
* 789
* 667
* 295
* 218

### grade conflicts

None recorded.

### evidence

#### history

* [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course\_9b1d5f832c492d1c4a3ce19c-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course_9b1d5f832c492d1c4a3ce19c-0.json)

#### traces

* [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course\_9b1d5f832c492d1c4a3ce19c-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course_9b1d5f832c492d1c4a3ce19c-0.json)

#### reviews

* [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/reviews/course\_9b1d5f832c492d1c4a3ce19c-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/reviews/course_9b1d5f832c492d1c4a3ce19c-0.json)

#### meetings

* [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/meetings/course\_9b1d5f832c492d1c4a3ce19c-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/meetings/course_9b1d5f832c492d1c4a3ce19c-0.json)

#### results

* [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course\_9b1d5f832c492d1c4a3ce19c-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course_9b1d5f832c492d1c4a3ce19c-0.json)

### revision

e243353dcb7d79b7247ced91d69443ef4c2a6349

## context

### all

#### term



#### gpa

3.2515882416280824

#### count

9287

#### university

##### size

5099

##### gpa Percentile

7

##### count Percentile

99

##### median Count

159

##### 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 | 7     | false   |
| 2.8–3.2 | 264   | false   |
| 3.2–3.6 | 1268  | true    |
| 3.6–4.0 | 3559  | false   |

#### departments

```json
[
  {
    "subject": "COMPSCI",
    "comparison": {
      "size": 107,
      "gpaPercentile": 13,
      "countPercentile": 96,
      "medianCount": 409,
      "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": 14,
          "current": false
        },
        {
          "range": "3.2–3.6",
          "count": 33,
          "current": true
        },
        {
          "range": "3.6–4.0",
          "count": 60,
          "current": false
        }
      ]
    }
  }
]
```

### terms

#### 1182

##### term

1182

##### gpa

2.8442280945758

##### count

719

##### university

###### size

1025

###### gpa Percentile

3

###### count Percentile

99

###### 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   | true    |
| 3.2–3.6 | 369   | false   |
| 3.6–4.0 | 418   | false   |

##### departments

```json
[
  {
    "subject": "COMPSCI",
    "comparison": {
      "size": 36,
      "gpaPercentile": 3,
      "countPercentile": 100,
      "medianCount": 90.5,
      "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": 1,
          "current": false
        },
        {
          "range": "2.8–3.2",
          "count": 13,
          "current": true
        },
        {
          "range": "3.2–3.6",
          "count": 11,
          "current": false
        },
        {
          "range": "3.6–4.0",
          "count": 11,
          "current": false
        }
      ]
    }
  }
]
```

#### 1184

##### term

1184

##### gpa

2.837325349301397

##### count

501

##### university

###### size

1010

###### gpa Percentile

4

###### count Percentile

98

###### median Count

68

###### histogram

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

##### departments

```json
[
  {
    "subject": "COMPSCI",
    "comparison": {
      "size": 31,
      "gpaPercentile": 0,
      "countPercentile": 93,
      "medianCount": 126,
      "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": 15,
          "current": true
        },
        {
          "range": "3.2–3.6",
          "count": 8,
          "current": false
        },
        {
          "range": "3.6–4.0",
          "count": 8,
          "current": false
        }
      ]
    }
  }
]
```

#### 1192

##### term

1192

##### gpa

2.9624113475177305

##### count

705

##### university

###### size

1077

###### gpa Percentile

7

###### count Percentile

99

###### 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   | true    |
| 3.2–3.6 | 370   | false   |
| 3.6–4.0 | 481   | false   |

##### departments

```json
[
  {
    "subject": "COMPSCI",
    "comparison": {
      "size": 38,
      "gpaPercentile": 11,
      "countPercentile": 100,
      "medianCount": 95.5,
      "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": 1,
          "current": false
        },
        {
          "range": "2.8–3.2",
          "count": 15,
          "current": true
        },
        {
          "range": "3.2–3.6",
          "count": 10,
          "current": false
        },
        {
          "range": "3.6–4.0",
          "count": 12,
          "current": false
        }
      ]
    }
  }
]
```

#### 1194

##### term

1194

##### gpa

2.891358024691358

##### count

405

##### university

###### size

1040

###### gpa Percentile

5

###### count Percentile

96

###### median Count

67

###### histogram

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

##### departments

```json
[
  {
    "subject": "COMPSCI",
    "comparison": {
      "size": 38,
      "gpaPercentile": 5,
      "countPercentile": 89,
      "medianCount": 92,
      "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": 15,
          "current": true
        },
        {
          "range": "3.2–3.6",
          "count": 11,
          "current": false
        },
        {
          "range": "3.6–4.0",
          "count": 11,
          "current": false
        }
      ]
    }
  }
]
```

#### 1202

##### term

1202

##### gpa

3.051452784503632

##### count

826

##### university

###### size

1102

###### gpa Percentile

11

###### count Percentile

99

###### 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   | true    |
| 3.2–3.6 | 371   | false   |
| 3.6–4.0 | 498   | false   |

##### departments

```json
[
  {
    "subject": "COMPSCI",
    "comparison": {
      "size": 41,
      "gpaPercentile": 18,
      "countPercentile": 100,
      "medianCount": 91,
      "histogram": [
        {
          "range": "0.0–0.4",
          "count": 0,
          "current": false
        },
        {
          "range": "0.4–0.8",
          "count": 0,
          "current": false
        },
        {
          "range": "0.8–1.2",
          "count": 0,
          "current": false
        },
        {
          "range": "1.2–1.6",
          "count": 0,
          "current": false
        },
        {
          "range": "1.6–2.0",
          "count": 0,
          "current": false
        },
        {
          "range": "2.0–2.4",
          "count": 1,
          "current": false
        },
        {
          "range": "2.4–2.8",
          "count": 1,
          "current": false
        },
        {
          "range": "2.8–3.2",
          "count": 13,
          "current": true
        },
        {
          "range": "3.2–3.6",
          "count": 15,
          "current": false
        },
        {
          "range": "3.6–4.0",
          "count": 11,
          "current": false
        }
      ]
    }
  }
]
```

#### 1204

##### term

1204

##### gpa

3.5545454545454547

##### count

330

##### university

###### size

1012

###### gpa Percentile

26

###### count Percentile

95

###### 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": "COMPSCI",
    "comparison": {
      "size": 42,
      "gpaPercentile": 34,
      "countPercentile": 83,
      "medianCount": 90.5,
      "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": 1,
          "current": false
        },
        {
          "range": "3.2–3.6",
          "count": 19,
          "current": true
        },
        {
          "range": "3.6–4.0",
          "count": 22,
          "current": false
        }
      ]
    }
  }
]
```

#### 1212

##### term

1212

##### gpa

3.4955919395465993

##### count

794

##### university

###### size

1111

###### gpa Percentile

36

###### count Percentile

99

###### 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   | true    |
| 3.6–4.0 | 611   | false   |

##### departments

```json
[
  {
    "subject": "COMPSCI",
    "comparison": {
      "size": 42,
      "gpaPercentile": 56,
      "countPercentile": 100,
      "medianCount": 96,
      "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": 12,
          "current": false
        },
        {
          "range": "3.2–3.6",
          "count": 16,
          "current": true
        },
        {
          "range": "3.6–4.0",
          "count": 14,
          "current": false
        }
      ]
    }
  }
]
```

#### 1222

##### term

1222

##### gpa

3.222292191435768

##### count

794

##### university

###### size

1157

###### gpa Percentile

18

###### count Percentile

99

###### 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": "COMPSCI",
    "comparison": {
      "size": 46,
      "gpaPercentile": 27,
      "countPercentile": 100,
      "medianCount": 94.5,
      "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": 1,
          "current": false
        },
        {
          "range": "2.8–3.2",
          "count": 8,
          "current": false
        },
        {
          "range": "3.2–3.6",
          "count": 23,
          "current": true
        },
        {
          "range": "3.6–4.0",
          "count": 14,
          "current": false
        }
      ]
    }
  }
]
```

#### 1224

##### term

1224

##### gpa

3.0900243309002433

##### count

411

##### university

###### size

1171

###### gpa Percentile

11

###### count Percentile

96

###### median Count

64

###### histogram

| range   | count | current |
| ------- | ----- | ------- |
| 0.0–0.4 | 0     | false   |
| 0.4–0.8 | 0     | false   |
| 0.8–1.2 | 0     | false   |
| 1.2–1.6 | 0     | false   |
| 1.6–2.0 | 0     | false   |
| 2.0–2.4 | 3     | false   |
| 2.4–2.8 | 21    | false   |
| 2.8–3.2 | 173   | true    |
| 3.2–3.6 | 358   | false   |
| 3.6–4.0 | 616   | false   |

##### departments

```json
[
  {
    "subject": "COMPSCI",
    "comparison": {
      "size": 45,
      "gpaPercentile": 14,
      "countPercentile": 86,
      "medianCount": 96,
      "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": 11,
          "current": true
        },
        {
          "range": "3.2–3.6",
          "count": 17,
          "current": false
        },
        {
          "range": "3.6–4.0",
          "count": 17,
          "current": false
        }
      ]
    }
  }
]
```

#### 1232

##### term

1232

##### gpa

3.4312573443008225

##### count

851

##### university

###### size

1216

###### gpa Percentile

31

###### count Percentile

99

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

##### departments

```json
[
  {
    "subject": "COMPSCI",
    "comparison": {
      "size": 50,
      "gpaPercentile": 37,
      "countPercentile": 96,
      "medianCount": 82.5,
      "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": 9,
          "current": false
        },
        {
          "range": "3.2–3.6",
          "count": 19,
          "current": true
        },
        {
          "range": "3.6–4.0",
          "count": 22,
          "current": false
        }
      ]
    }
  }
]
```

#### 1234

##### term

1234

##### gpa

3.2493827160493827

##### count

405

##### university

###### size

1188

###### gpa Percentile

18

###### count Percentile

96

###### 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": "COMPSCI",
    "comparison": {
      "size": 46,
      "gpaPercentile": 29,
      "countPercentile": 84,
      "medianCount": 111,
      "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": 26,
          "current": true
        },
        {
          "range": "3.6–4.0",
          "count": 12,
          "current": false
        }
      ]
    }
  }
]
```

#### 1242

##### term

1242

##### gpa

3.5180555555555557

##### count

720

##### university

###### size

1295

###### gpa Percentile

36

###### count Percentile

98

###### 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": "COMPSCI",
    "comparison": {
      "size": 52,
      "gpaPercentile": 49,
      "countPercentile": 92,
      "medianCount": 99,
      "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": 9,
          "current": false
        },
        {
          "range": "3.2–3.6",
          "count": 20,
          "current": true
        },
        {
          "range": "3.6–4.0",
          "count": 22,
          "current": false
        }
      ]
    }
  }
]
```

#### 1244

##### term

1244

##### gpa

3.3876582278481013

##### count

316

##### university

###### size

1241

###### gpa Percentile

24

###### count Percentile

94

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

##### departments

```json
[
  {
    "subject": "COMPSCI",
    "comparison": {
      "size": 46,
      "gpaPercentile": 44,
      "countPercentile": 80,
      "medianCount": 116,
      "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": 11,
          "current": false
        },
        {
          "range": "3.2–3.6",
          "count": 17,
          "current": true
        },
        {
          "range": "3.6–4.0",
          "count": 18,
          "current": false
        }
      ]
    }
  }
]
```

#### 1252

##### term

1252

##### gpa

3.5526315789473686

##### count

627

##### university

###### size

1333

###### gpa Percentile

37

###### count Percentile

98

###### median Count

69

###### histogram

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

##### departments

```json
[
  {
    "subject": "COMPSCI",
    "comparison": {
      "size": 54,
      "gpaPercentile": 57,
      "countPercentile": 94,
      "medianCount": 101,
      "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": 8,
          "current": false
        },
        {
          "range": "3.2–3.6",
          "count": 23,
          "current": true
        },
        {
          "range": "3.6–4.0",
          "count": 22,
          "current": false
        }
      ]
    }
  }
]
```

#### 1254

##### term

1254

##### gpa

3.537254901960784

##### count

255

##### university

###### size

1289

###### gpa Percentile

35

###### count Percentile

91

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

##### departments

```json
[
  {
    "subject": "COMPSCI",
    "comparison": {
      "size": 52,
      "gpaPercentile": 51,
      "countPercentile": 73,
      "medianCount": 105,
      "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": 10,
          "current": false
        },
        {
          "range": "3.2–3.6",
          "count": 24,
          "current": true
        },
        {
          "range": "3.6–4.0",
          "count": 17,
          "current": false
        }
      ]
    }
  }
]
```

#### 1262

##### term

1262

##### gpa

3.5233739837398375

##### count

492

##### university

###### size

1320

###### gpa Percentile

32

###### count Percentile

96

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

##### departments

```json
[
  {
    "subject": "COMPSCI",
    "comparison": {
      "size": 53,
      "gpaPercentile": 44,
      "countPercentile": 85,
      "medianCount": 82,
      "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": 10,
          "current": false
        },
        {
          "range": "3.2–3.6",
          "count": 22,
          "current": true
        },
        {
          "range": "3.6–4.0",
          "count": 21,
          "current": false
        }
      ]
    }
  }
]
```

#### 1264

##### term

1264

##### gpa

3.4669117647058822

##### count

136

##### university

###### size

1283

###### gpa Percentile

28

###### count Percentile

79

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

##### departments

```json
[
  {
    "subject": "COMPSCI",
    "comparison": {
      "size": 48,
      "gpaPercentile": 51,
      "countPercentile": 60,
      "medianCount": 105.5,
      "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": 1,
          "current": false
        },
        {
          "range": "2.8–3.2",
          "count": 7,
          "current": false
        },
        {
          "range": "3.2–3.6",
          "count": 21,
          "current": true
        },
        {
          "range": "3.6–4.0",
          "count": 19,
          "current": false
        }
      ]
    }
  }
]
```

### benchmarks

#### all

##### school

###### size

5099

###### gpa

3.6995792410818003

###### top Share

84.30705259287105

###### count

159

##### COMPSCI

###### size

107

###### gpa

3.6031582726665

###### top Share

79.22636349778281

###### count

409

#### terms

##### 1182

###### school

###### size

1025

###### gpa

3.474159360325319

###### top Share

70.34861441764347

###### count

69

###### COMPSCI

###### size

36

###### gpa

3.352907303323745

###### top Share

63.88103454195665

###### count

90.5

##### 1184

###### school

###### size

1010

###### gpa

3.47925290354517

###### top Share

70.86270937115944

###### count

68

###### COMPSCI

###### size

31

###### gpa

3.329310414227759

###### top Share

61.243618316797935

###### count

126

##### 1192

###### school

###### size

1077

###### gpa

3.50327634323125

###### top Share

72.44641925727845

###### count

67

###### COMPSCI

###### size

38

###### gpa

3.3453717241366854

###### top Share

64.2917310505246

###### count

95.5

##### 1194

###### school

###### size

1040

###### gpa

3.4906527436719808

###### top Share

71.74728845515045

###### count

67

###### COMPSCI

###### size

38

###### gpa

3.3433846242383978

###### top Share

63.409438479169644

###### count

92

##### 1202

###### school

###### size

1102

###### gpa

3.5102605987403313

###### top Share

72.78244569053733

###### count

68

###### COMPSCI

###### size

41

###### gpa

3.3598624373657553

###### top Share

65.26544910639922

###### count

91

##### 1204

###### school

###### size

1012

###### gpa

3.703747431523761

###### top Share

84.59811226304916

###### count

65.5

###### COMPSCI

###### size

42

###### gpa

3.6240893265324647

###### top Share

79.98991493017058

###### count

90.5

##### 1212

###### school

###### size

1111

###### gpa

3.5856416028074487

###### top Share

77.58926748660845

###### count

68

###### COMPSCI

###### size

42

###### gpa

3.450396020252364

###### top Share

69.90950224603134

###### count

96

##### 1222

###### school

###### size

1157

###### gpa

3.563052311875811

###### top Share

76.64869058732418

###### count

64

###### COMPSCI

###### size

46

###### gpa

3.4266761668874532

###### top Share

68.93117403010548

###### count

94.5

##### 1224

###### school

###### size

1171

###### gpa

3.5627882428500937

###### top Share

76.37271640560496

###### count

64

###### COMPSCI

###### size

45

###### gpa

3.4719336884851772

###### top Share

70.89188483398956

###### count

96

##### 1232

###### school

###### size

1216

###### gpa

3.575457431972425

###### top Share

77.33712216234007

###### count

66

###### COMPSCI

###### size

50

###### gpa

3.522872390836507

###### top Share

74.11555010870671

###### count

82.5

##### 1234

###### school

###### size

1188

###### gpa

3.5799441677552393

###### top Share

77.18256448537606

###### count

65

###### COMPSCI

###### size

46

###### gpa

3.457340982461054

###### top Share

70.00975704504911

###### count

111

##### 1242

###### school

###### size

1295

###### gpa

3.595302892737449

###### top Share

78.36291889885307

###### count

67

###### COMPSCI

###### size

52

###### gpa

3.5206188715369935

###### top Share

74.2043106737207

###### count

99

##### 1244

###### school

###### size

1241

###### gpa

3.5975573126929192

###### top Share

78.29036874847135

###### count

65

###### COMPSCI

###### size

46

###### gpa

3.477413782571094

###### top Share

70.8725394264854

###### count

116

##### 1252

###### school

###### size

1333

###### gpa

3.619494049739118

###### top Share

79.71442190500672

###### count

69

###### COMPSCI

###### size

54

###### gpa

3.5244021201456657

###### top Share

75.07938169795783

###### count

101

##### 1254

###### school

###### size

1289

###### gpa

3.6126423469389106

###### top Share

79.48050408754871

###### count

66

###### COMPSCI

###### size

52

###### gpa

3.482652727664103

###### top Share

71.33786483648515

###### count

105

##### 1262

###### school

###### size

1320

###### gpa

3.628825763035853

###### top Share

80.21118846327654

###### count

70

###### COMPSCI

###### size

53

###### gpa

3.533845597774486

###### top Share

75.31824598445624

###### count

82

##### 1264

###### school

###### size

1283

###### gpa

3.6229729166451925

###### top Share

80.13669149396227

###### count

66

###### COMPSCI

###### size

48

###### gpa

3.5022746140005943

###### top Share

73.13318776233326

###### count

105.5

## instructor Trends

```json
[
  {
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  {
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      }
    ]
  }
]
```

## following

| code                 | title                                                              |
| -------------------- | ------------------------------------------------------------------ |
| BME/ECE 463          | COMPUTERS IN MEDICINE                                              |
| COMPSCI 300          | PROGRAMMING II                                                     |
| COMPSCI 402          | INTRODUCING COMPUTER SCIENCE TO K-12 STUDENTS                      |
| COMPSCI 541          | THEORY & ALGORITHMS FOR DATA SCIENCE                               |
| COMPSCI 638          | UNDERGRADUATE TOPICS IN COMPUTING                                  |
| COMPSCI/ECE/ISYE 524 | INTRODUCTION TO OPTIMIZATION                                       |
| COMPSCI/ECE/ME 532   | MATRIX METHODS IN MACHINE LEARNING                                 |
| COMPSCI/ECE/ME 539   | INTRODUCTION TO ARTIFICIAL NEURAL NETWORKS                         |
| COMPSCI/ISYE 526     | ADVANCED LINEAR PROGRAMMING                                        |
| COMPSCI/MATH 513     | NUMERICAL LINEAR ALGEBRA                                           |
| COMPSCI/MATH 514     | NUMERICAL ANALYSIS                                                 |
| ISYE 521             | MACHINE LEARNING IN ACTION FOR INDUSTRIAL ENGINEERS                |
| ISYE 620             | SIMULATION MODELING AND ANALYSIS                                   |
| ISYE/ME 643          | PERFORMANCE ANALYSIS OF MANUFACTURING SYSTEMS                      |
| MATH 345             | LINEAR ALGEBRA AND OPTIMIZATION                                    |
| MATH 444             | GRAPHS AND NETWORKS IN DATA SCIENCE                                |
| ME 331               | COMPUTER-AIDED ENGINEERING                                         |
| ME 459               | COMPUTING CONCEPTS FOR APPLICATIONS IN ENGINEERING                 |
| ME 468               | COMPUTER MODELING AND SIMULATION OF AUTONOMOUS VEHICLES AND ROBOTS |
| ME 472               | ENERGY, SUSTAINABILITY, AND TECHNOLOGY                             |
| STAT 405             | DATA SCIENCE COMPUTING PROJECT                                     |

## projection

### target

1272

### interval

#### lower

2.95

#### upper

4

#### coverage

80

#### terms

7

### gpa

3.4786082354674557

### grades

| grade | percentage         |
| ----- | ------------------ |
| A     | 53.2711246675766   |
| AB    | 18.807799197449544 |
| B     | 15.301661656116314 |
| BC    | 5.281323365788572  |
| C     | 4.026394841198795  |
| D     | 1.7879446201478366 |
| F     | 1.523751651722344  |

### source Terms

* 1262
* 1252
* 1242
* 1232
* 1222

### source Count

3484

### same Season

true

### historical Range

* 3.2222921914357685
* 3.552631578947369

### backtest

#### terms

7

#### gpa Error

0.21267025656466204

#### mix Error

14.042009079447634