# COMPSCI 571: Building User Interfaces | UW–Madison

[View on UW Courses](https://uwcourses.com/courses/COMPSCI_571)

## Dataset

### revision

e243353dcb7d79b7247ced91d69443ef4c2a6349

### repository

twangodev/uwcourses

### schema version

6

### importer version

7

### projection id

52a78527ff09011d88cb04c7d43867d9fbfec2930bf1dd2ec359ebd2844e0b07

### observed at

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

### built at

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

### courses

8951

### current instructors

5754

### limited

false

### terms

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### term

1272

### departments

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

## course

### run id

20260907T155543-ce3781c4

### semester

1272

### observed at

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

### record version id

676b949a788cd55947fbcc526a418f19861cad1f5bf75a5782d9af184007effb

### course id

COMPSCI 571

### course uid

course\_8db0bb2cfe30dfb4e729578a

### catalog version id

e764e4602f177602666dcc8f0637eb3b0b6e5cd90548e09a455c081a36bdc33e

### course number

571

### subjects

* COMPSCI

### title

BUILDING USER INTERFACES

### description

Introduces software development of user interfaces (UIs).  Build competence in implementing UIs using state-of-the-art (1) UI paradigms, such as event-driven interfaces, direct-manipulation interfaces, and dialogue-based interaction; (2) methods for capturing, interpreting, and responding to different forms of user input and states, including pointing, text entry, speech, touch, gestures, user activity, context, and physiological states; and (3) platform-specific UI development APIs, frameworks, and toolkits for multiple platforms including web/mobile/desktop interfaces, natural user interfaces, and voice user interfaces. Learn about the fundamental concepts, technologies, algorithms, and methods in building user interfaces, implement UIs using of state-of-the-art UI development tools, and build a UI development portfolio.

### requirements text

COMP SCI 400or graduate/professional standing

### credits min

3

### credits max

3

### credit offering ids

* 1272:266:026032

### llm job id

enrich-f516c4d3e82cfe326b4f5f54

### llm output id

ec7d1356cbc1c00ff48295db7c31c9b2c665d29025ee874f1bdfe4cedbfdfad4

### llm model

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

### llm model revision

1355db6a052410cfd62085d94b58866fd0f2c3c5

### llm task version

14

### llm search status

valid

### llm summary

COMPSCI 571 teaches the development of user interfaces using modern paradigms, input processing methods, and multi-platform APIs.

### llm topics

* UI paradigms: event-driven, direct-manipulation, and dialogue-based interaction.
* User input types: pointing, text, speech, touch, gestures, context, and physiological states.
* Platform-specific development: web, mobile, desktop, natural user interfaces, and voice interfaces.

### llm skills

* Implementing UIs using modern paradigms like event-driven and direct-manipulation interfaces.
* Capturing and interpreting diverse user inputs including touch, speech, gestures, and context.
* Developing UIs across multiple platforms using specific APIs and frameworks.
* Building a professional UI development portfolio.

### llm assumed background

* Data structures, algorithms, and professional software design practices including object-oriented principles and performance optimization.
* Object-oriented programming fundamentals, basic data structures, and recursion.

### llm search phrases

* user interface development
* UI paradigms
* state-of-the-art UI tools
* web mobile desktop interfaces
* natural user interfaces
* voice user interfaces
* event-driven interfaces
* direct-manipulation interfaces
* user input processing
* UI portfolio

### llm requirements status

valid

### llm student summary status

valid

### llm experience status

valid

### catalog variants

None recorded.

### student summary

#### context hash

614bba92f26e3408873db3e991ca629b26ac57e31b6fae7458856d8f0f39ffa3

#### course id

COMPSCI 571

#### current instructors

```json
[
  {
    "instructor_uid": "instructor_66359daabf07f9f841e2a2f8",
    "message": "No course-specific reviews available",
    "name": "Cole Nelson",
    "review_status": "no_course_reviews",
    "rmp_instructor_id": null,
    "summary": [
      {
        "citations": [
          {
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            "course_id": "COMPSCI 571",
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            "table": "section_grades_latest",
            "term_id": "1264",
            "type": "grade"
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        ],
        "text": "Recent recorded grades — Spring 2025: 3.34 GPA, 61.7% A/AB (n=334 letter grades); Fall 2025: 3.42 GPA, 72.5% A/AB (n=280 letter grades); Spring 2026: 3.35 GPA, 69.6% A/AB (n=257 letter grades). Includes jointly taught sections."
      }
    ]
  },
  {
    "instructor_uid": "instructor_4a3efeb6040291db24ba4ab2",
    "message": null,
    "name": "Yuhang Zhao",
    "review_status": "supported",
    "rmp_instructor_id": "rmp:2754330",
    "summary": [
      {
        "citations": [
          {
            "instructor_name": "Yuhang Zhao",
            "review_date": "2021-12-19 10:05:52 +0000 UTC",
            "review_id": "7fead21943e1735e88218d4b",
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            "source_instructor_id": "rmp:2754330",
            "source_review_id": "UmF0aW5nLTM1NTk2MjM2",
            "source_url": "https://www.ratemyprofessors.com/professor/2754330",
            "type": "review"
          }
        ],
        "text": "Yuhang Zhao is described as passionate and supportive, prioritizing student success with generous extensions and extra credit. While the workload is high, reviewers find the assignments useful and interesting, suggesting the effort is worthwhile despite the difficulty."
      },
      {
        "citations": [
          {
            "course_id": "COMPSCI 571",
            "run_id": "20260907T155543-ce3781c4",
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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": "1252",
            "type": "grade"
          },
          {
            "course_id": "COMPSCI 571",
            "run_id": "20260907T155543-ce3781c4",
            "section_number": 2,
            "source_course_id": "4f015d27-ae09-35bb-833d-4d609e155e00",
            "source_record": {
              "entity_id": "4f015d27-ae09-35bb-833d-4d609e155e00",
              "file": "tables/observations.parquet",
              "kind": "grades",
              "source": "madgrades"
            },
            "table": "section_grades_latest",
            "term_id": "1252",
            "type": "grade"
          }
        ],
        "text": "Recent recorded grades — Spring 2022: 3.51 GPA, 77.5% A/AB (n=102 letter grades); Fall 2023: 3.69 GPA, 82.7% A/AB (n=342 letter grades); Fall 2024: 3.35 GPA, 66.7% A/AB (n=333 letter grades). Includes jointly taught sections."
      }
    ]
  }
]
```

#### difficulty workload

The workload is high, but assignments are useful and interesting, with extensions and extra credit available to lighten the burden.

```json
{
  "citations": [
    {
      "instructor_name": "Yuhang Zhao",
      "review_date": "2021-12-19 10:05:52 +0000 UTC",
      "review_id": "7fead21943e1735e88218d4b",
      "run_id": "20260907T155543-ce3781c4",
      "source_instructor_id": "rmp:2754330",
      "source_review_id": "UmF0aW5nLTM1NTk2MjM2",
      "source_url": "https://www.ratemyprofessors.com/professor/2754330",
      "type": "review"
    }
  ]
}
```

#### errors

None recorded.

#### historical context

None recorded.

#### offered

true

#### profile hash

e59ddc7389015d0035b68cd195c939d475bf72b959b29cf12eab59b454ccaef1

#### quick take

Yuhang Zhao is a passionate instructor who prioritizes student success, offering extensions and extra credit to manage a high but useful workload.

```json
{
  "citations": [
    {
      "instructor_name": "Yuhang Zhao",
      "review_date": "2021-12-19 10:05:52 +0000 UTC",
      "review_id": "7fead21943e1735e88218d4b",
      "run_id": "20260907T155543-ce3781c4",
      "source_instructor_id": "rmp:2754330",
      "source_review_id": "UmF0aW5nLTM1NTk2MjM2",
      "source_url": "https://www.ratemyprofessors.com/professor/2754330",
      "type": "review"
    }
  ]
}
```

Recent recorded grades — Spring 2025: 3.34 GPA, 61.7% A/AB (n=334 letter grades); Fall 2025: 3.42 GPA, 72.5% A/AB (n=280 letter grades); Spring 2026: 3.35 GPA, 69.6% A/AB (n=257 letter grades).

```json
{
  "citations": [
    {
      "course_id": "COMPSCI 571",
      "run_id": "20260907T155543-ce3781c4",
      "source_record": {
        "entity_id": "4f015d27-ae09-35bb-833d-4d609e155e00",
        "file": "tables/observations.parquet",
        "kind": "grades",
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      },
      "table": "grades_latest",
      "term_id": "1254",
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    },
    {
      "course_id": "COMPSCI 571",
      "run_id": "20260907T155543-ce3781c4",
      "source_record": {
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        "file": "tables/observations.parquet",
        "kind": "grades",
        "source": "madgrades"
      },
      "table": "grades_latest",
      "term_id": "1262",
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    },
    {
      "course_id": "COMPSCI 571",
      "run_id": "20260907T155543-ce3781c4",
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        "file": "tables/observations.parquet",
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        "source": "madgrades"
      },
      "table": "grades_latest",
      "term_id": "1264",
      "type": "grade"
    }
  ]
}
```

#### student experience

Students find the course rewarding, noting that the instructor's support and the value of the work make the experience positive.

```json
{
  "citations": [
    {
      "instructor_name": "Yuhang Zhao",
      "review_date": "2021-12-19 10:05:52 +0000 UTC",
      "review_id": "7fead21943e1735e88218d4b",
      "run_id": "20260907T155543-ce3781c4",
      "source_instructor_id": "rmp:2754330",
      "source_review_id": "UmF0aW5nLTM1NTk2MjM2",
      "source_url": "https://www.ratemyprofessors.com/professor/2754330",
      "type": "review"
    }
  ]
}
```

#### task hash

74fb0997943e888960bbc9e47db8c4fd12e4292d55c20509d8d89db6a9910f68

#### teaching history

COLE NELSON is recorded teaching in Fall 2022, Spring 2023, Fall 2023, Spring 2024, Fall 2024, Spring 2025, Fall 2025, Spring 2026. Recorded history may be incomplete and does not establish a future schedule.

```json
{
  "citations": [
    {
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      "run_id": "20260907T155543-ce3781c4",
      "section_number": 10,
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    {
      "course_id": "COMPSCI 571",
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}
```

YUHANG ZHAO is recorded teaching in Fall 2021, Spring 2022, Fall 2023, Fall 2024. Recorded history may be incomplete and does not establish a future schedule.

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```

#### term id

1272

#### term name

2026 Fall

#### version

2

### requirements

#### nodes

```json
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    "evidence": "COMP SCI 400or graduate/professional standing",
    "id": "n0",
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    "evidence": "graduate/professional standing",
    "id": "n2",
    "kind": "condition"
  }
]
```

#### notes

None recorded.

#### root

n0

#### status

parsed

### instructors

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### offerings

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    "title": "Building User Interfaces",
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    "credits_max": 3,
    "typically_offered": "Not Applicable"
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```

### sections

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]
```

### grade instructors

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  }
]
```

### grades

```json
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    ],
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    ],
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    "unsatisfactory": 0,
    "credit": 0,
    "no_credit": 0,
    "passed": 0,
    "incomplete": 0,
    "no_work": 0,
    "not_reported": 0,
    "other": 0,
    "total": 278,
    "source_aliases": [
      "COMPSCI 571"
    ]
  },
  {
    "run_id": "20260907T155543-ce3781c4",
    "semester": "1272",
    "observed_at": "2026-09-07 15:55:43.033547+00:00",
    "course_id": "COMPSCI 571",
    "course_uid": "course_8db0bb2cfe30dfb4e729578a",
    "term_id": "1252",
    "term_name": "Fall 2024",
    "instructors": [
      "AMY KOIKE",
      "Cole Nelson",
      "HANXIU ZHU",
      "HONGTAO HAO",
      "KEXIN ZHANG",
      "LEO CUI",
      "RUIJIA CHEN",
      "SUHAS KURUKURI",
      "Yuhang Zhao",
      "ZHAOYANG LIU"
    ],
    "a": 113,
    "ab": 157,
    "b": 75,
    "bc": 23,
    "c": 7,
    "d": 7,
    "f": 1,
    "satisfactory": 0,
    "unsatisfactory": 0,
    "credit": 0,
    "no_credit": 0,
    "passed": 0,
    "incomplete": 2,
    "no_work": 0,
    "not_reported": 0,
    "other": 0,
    "total": 385,
    "source_aliases": [
      "COMPSCI 571"
    ]
  },
  {
    "run_id": "20260907T155543-ce3781c4",
    "semester": "1272",
    "observed_at": "2026-09-07 15:55:43.033547+00:00",
    "course_id": "COMPSCI 571",
    "course_uid": "course_8db0bb2cfe30dfb4e729578a",
    "term_id": "1254",
    "term_name": "Spring 2025",
    "instructors": [
      "Cole Nelson",
      "HONGTAO HAO",
      "MARK TERVO",
      "RUIJIA CHEN",
      "SUHAS KURUKURI",
      "YAXIN HU",
      "ZHAOYANG LIU"
    ],
    "a": 75,
    "ab": 131,
    "b": 96,
    "bc": 24,
    "c": 4,
    "d": 2,
    "f": 2,
    "satisfactory": 0,
    "unsatisfactory": 0,
    "credit": 0,
    "no_credit": 0,
    "passed": 0,
    "incomplete": 0,
    "no_work": 0,
    "not_reported": 0,
    "other": 0,
    "total": 334,
    "source_aliases": [
      "COMPSCI 571"
    ]
  },
  {
    "run_id": "20260907T155543-ce3781c4",
    "semester": "1272",
    "observed_at": "2026-09-07 15:55:43.033547+00:00",
    "course_id": "COMPSCI 571",
    "course_uid": "course_8db0bb2cfe30dfb4e729578a",
    "term_id": "1262",
    "term_name": "Fall 2025",
    "instructors": [
      "AMY KOIKE",
      "Cole Nelson",
      "DANIEL KILLOUGH",
      "HONGTAO HAO",
      "KASSIE POVINELLI",
      "ZHAOYANG LIU"
    ],
    "a": 93,
    "ab": 110,
    "b": 41,
    "bc": 21,
    "c": 12,
    "d": 2,
    "f": 1,
    "satisfactory": 0,
    "unsatisfactory": 0,
    "credit": 0,
    "no_credit": 0,
    "passed": 0,
    "incomplete": 0,
    "no_work": 0,
    "not_reported": 0,
    "other": 0,
    "total": 280,
    "source_aliases": [
      "COMPSCI 571"
    ]
  },
  {
    "run_id": "20260907T155543-ce3781c4",
    "semester": "1272",
    "observed_at": "2026-09-07 15:55:43.033547+00:00",
    "course_id": "COMPSCI 571",
    "course_uid": "course_8db0bb2cfe30dfb4e729578a",
    "term_id": "1264",
    "term_name": "Spring 2026",
    "instructors": [
      "AMY KOIKE",
      "Cole Nelson",
      "HEIDI SPALITTA",
      "HONGTAO HAO",
      "KASSIE POVINELLI",
      "Kathryn Jensen",
      "ZHAOYANG LIU"
    ],
    "a": 75,
    "ab": 104,
    "b": 40,
    "bc": 20,
    "c": 10,
    "d": 7,
    "f": 1,
    "satisfactory": 0,
    "unsatisfactory": 0,
    "credit": 0,
    "no_credit": 0,
    "passed": 0,
    "incomplete": 0,
    "no_work": 0,
    "not_reported": 0,
    "other": 0,
    "total": 257,
    "source_aliases": [
      "COMPSCI 571"
    ]
  }
]
```

### statistics

#### gpa

3.468

#### graded

2313

#### counts

* 910
* 762
* 405
* 133
* 71
* 24
* 8

### grade conflicts

None recorded.

### evidence

#### history

* [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course\_8db0bb2cfe30dfb4e729578a-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course_8db0bb2cfe30dfb4e729578a-0.json)

#### traces

* [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course\_8db0bb2cfe30dfb4e729578a-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course_8db0bb2cfe30dfb4e729578a-0.json)

#### reviews

* [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/reviews/course\_8db0bb2cfe30dfb4e729578a-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/reviews/course_8db0bb2cfe30dfb4e729578a-0.json)

#### meetings

* [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/meetings/course\_8db0bb2cfe30dfb4e729578a-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/meetings/course_8db0bb2cfe30dfb4e729578a-0.json)

#### results

* [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course\_8db0bb2cfe30dfb4e729578a-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course_8db0bb2cfe30dfb4e729578a-0.json)

### revision

e243353dcb7d79b7247ced91d69443ef4c2a6349

## context

### all

#### term



#### gpa

3.46757457846952

#### count

2313

#### university

##### size

4461

##### gpa Percentile

18

##### count Percentile

97

##### median Count

127

##### histogram

| range   | count | current |
| ------- | ----- | ------- |
| 0.0–0.4 | 0     | false   |
| 0.4–0.8 | 0     | false   |
| 0.8–1.2 | 0     | false   |
| 1.2–1.6 | 0     | false   |
| 1.6–2.0 | 0     | false   |
| 2.0–2.4 | 0     | false   |
| 2.4–2.8 | 13    | false   |
| 2.8–3.2 | 236   | false   |
| 3.2–3.6 | 1075  | true    |
| 3.6–4.0 | 3137  | false   |

#### departments

```json
[
  {
    "subject": "COMPSCI",
    "comparison": {
      "size": 103,
      "gpaPercentile": 30,
      "countPercentile": 87,
      "medianCount": 237,
      "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": 28,
          "current": true
        },
        {
          "range": "3.6–4.0",
          "count": 61,
          "current": false
        }
      ]
    }
  }
]
```

### terms

#### 1222

##### term

1222

##### gpa

3.3865546218487395

##### count

119

##### university

###### size

1157

###### gpa Percentile

29

###### count Percentile

73

###### 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": 51,
      "countPercentile": 58,
      "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

3.514705882352941

##### count

102

##### university

###### size

1171

###### gpa Percentile

40

###### count Percentile

71

###### 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   | false   |
| 3.2–3.6 | 358   | true    |
| 3.6–4.0 | 616   | false   |

##### departments

```json
[
  {
    "subject": "COMPSCI",
    "comparison": {
      "size": 45,
      "gpaPercentile": 57,
      "countPercentile": 52,
      "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": false
        },
        {
          "range": "3.2–3.6",
          "count": 17,
          "current": true
        },
        {
          "range": "3.6–4.0",
          "count": 17,
          "current": false
        }
      ]
    }
  }
]
```

#### 1232

##### term

1232

##### gpa

3.925531914893617

##### count

47

##### university

###### size

1216

###### gpa Percentile

86

###### count Percentile

32

###### median Count

66

###### histogram

| range   | count | current |
| ------- | ----- | ------- |
| 0.0–0.4 | 0     | false   |
| 0.4–0.8 | 0     | false   |
| 0.8–1.2 | 0     | false   |
| 1.2–1.6 | 0     | false   |
| 1.6–2.0 | 0     | false   |
| 2.0–2.4 | 2     | false   |
| 2.4–2.8 | 14    | false   |
| 2.8–3.2 | 174   | false   |
| 3.2–3.6 | 356   | false   |
| 3.6–4.0 | 670   | true    |

##### departments

```json
[
  {
    "subject": "COMPSCI",
    "comparison": {
      "size": 50,
      "gpaPercentile": 90,
      "countPercentile": 20,
      "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": false
        },
        {
          "range": "3.6–4.0",
          "count": 22,
          "current": true
        }
      ]
    }
  }
]
```

#### 1234

##### term

1234

##### gpa

3.5760233918128654

##### count

171

##### university

###### size

1188

###### gpa Percentile

43

###### count Percentile

85

###### 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": 71,
      "countPercentile": 64,
      "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

3.685672514619883

##### count

342

##### university

###### size

1295

###### gpa Percentile

53

###### count Percentile

94

###### median Count

67

###### histogram

| range   | count | current |
| ------- | ----- | ------- |
| 0.0–0.4 | 0     | false   |
| 0.4–0.8 | 0     | false   |
| 0.8–1.2 | 0     | false   |
| 1.2–1.6 | 0     | false   |
| 1.6–2.0 | 0     | false   |
| 2.0–2.4 | 2     | false   |
| 2.4–2.8 | 11    | false   |
| 2.8–3.2 | 162   | false   |
| 3.2–3.6 | 394   | false   |
| 3.6–4.0 | 726   | true    |

##### departments

```json
[
  {
    "subject": "COMPSCI",
    "comparison": {
      "size": 52,
      "gpaPercentile": 59,
      "countPercentile": 78,
      "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": false
        },
        {
          "range": "3.6–4.0",
          "count": 22,
          "current": true
        }
      ]
    }
  }
]
```

#### 1244

##### term

1244

##### gpa

3.45863309352518

##### count

278

##### university

###### size

1241

###### gpa Percentile

30

###### count Percentile

92

###### 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": 49,
      "countPercentile": 71,
      "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

3.4073107049608353

##### count

383

##### university

###### size

1333

###### gpa Percentile

23

###### count Percentile

94

###### 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": 38,
      "countPercentile": 79,
      "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

3.342814371257485

##### count

334

##### university

###### size

1289

###### gpa Percentile

20

###### count Percentile

94

###### 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": 33,
      "countPercentile": 78,
      "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

3.4232142857142858

##### count

280

##### university

###### size

1320

###### gpa Percentile

24

###### count Percentile

91

###### 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": 35,
      "countPercentile": 75,
      "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

3.350194552529183

##### count

257

##### university

###### size

1283

###### gpa Percentile

19

###### 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 | 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": 32,
      "countPercentile": 72,
      "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

4461

###### gpa

3.7000604158847126

###### top Share

84.3655473985339

###### count

127

##### COMPSCI

###### size

103

###### gpa

3.6086356056943707

###### top Share

79.63966309389325

###### count

237

#### terms

##### 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
[
  {
    "uid": "instructor_4561aa717dd3770d5586704a",
    "name": "COLE NELSON",
    "count": 2092,
    "terms": [
      {
        "term": "1232",
        "count": 47,
        "sections": 1,
        "gpa": 3.925531914893617
      },
      {
        "term": "1234",
        "count": 171,
        "sections": 1,
        "gpa": 3.5760233918128654
      },
      {
        "term": "1242",
        "count": 342,
        "sections": 2,
        "gpa": 3.685672514619883
      },
      {
        "term": "1244",
        "count": 278,
        "sections": 2,
        "gpa": 3.45863309352518
      },
      {
        "term": "1252",
        "count": 383,
        "sections": 3,
        "gpa": 3.4073107049608353
      },
      {
        "term": "1254",
        "count": 334,
        "sections": 2,
        "gpa": 3.342814371257485
      },
      {
        "term": "1262",
        "count": 280,
        "sections": 2,
        "gpa": 3.4232142857142858
      },
      {
        "term": "1264",
        "count": 257,
        "sections": 2,
        "gpa": 3.350194552529183
      }
    ]
  },
  {
    "uid": "instructor_8598e24b3ee69b0d12bed6db",
    "name": "HONGTAO HAO",
    "count": 1074,
    "terms": [
      {
        "term": "1234",
        "count": 171,
        "sections": 1,
        "gpa": 3.5760233918128654
      },
      {
        "term": "1242",
        "count": 196,
        "sections": 1,
        "gpa": 3.686224489795918
      },
      {
        "term": "1244",
        "count": 141,
        "sections": 1,
        "gpa": 3.4574468085106385
      },
      {
        "term": "1252",
        "count": 50,
        "sections": 1,
        "gpa": 3.78
      },
      {
        "term": "1254",
        "count": 206,
        "sections": 1,
        "gpa": 3.3689320388349513
      },
      {
        "term": "1262",
        "count": 142,
        "sections": 1,
        "gpa": 3.4049295774647885
      },
      {
        "term": "1264",
        "count": 168,
        "sections": 1,
        "gpa": 3.419642857142857
      }
    ]
  },
  {
    "uid": "instructor_fb3b93ea7429fd4442a102ee",
    "name": "YUHANG ZHAO",
    "count": 896,
    "terms": [
      {
        "term": "1222",
        "count": 119,
        "sections": 2,
        "gpa": 3.3865546218487395
      },
      {
        "term": "1224",
        "count": 102,
        "sections": 1,
        "gpa": 3.514705882352941
      },
      {
        "term": "1242",
        "count": 342,
        "sections": 2,
        "gpa": 3.685672514619883
      },
      {
        "term": "1252",
        "count": 333,
        "sections": 2,
        "gpa": 3.3513513513513513
      }
    ]
  },
  {
    "uid": "instructor_8ae899c980ea0e2a422766b9",
    "name": "AMY KOIKE",
    "count": 866,
    "terms": [
      {
        "term": "1234",
        "count": 171,
        "sections": 1,
        "gpa": 3.5760233918128654
      },
      {
        "term": "1242",
        "count": 196,
        "sections": 1,
        "gpa": 3.686224489795918
      },
      {
        "term": "1244",
        "count": 137,
        "sections": 1,
        "gpa": 3.45985401459854
      },
      {
        "term": "1252",
        "count": 131,
        "sections": 1,
        "gpa": 3.377862595419847
      },
      {
        "term": "1262",
        "count": 142,
        "sections": 1,
        "gpa": 3.4049295774647885
      },
      {
        "term": "1264",
        "count": 89,
        "sections": 1,
        "gpa": 3.2191011235955056
      }
    ]
  },
  {
    "uid": "instructor_0eef053fe34a28a3d4e0c63e",
    "name": "ZHAOYANG LIU",
    "count": 557,
    "terms": [
      {
        "term": "1252",
        "count": 202,
        "sections": 1,
        "gpa": 3.3341584158415842
      },
      {
        "term": "1254",
        "count": 128,
        "sections": 1,
        "gpa": 3.30078125
      },
      {
        "term": "1262",
        "count": 138,
        "sections": 1,
        "gpa": 3.4420289855072466
      },
      {
        "term": "1264",
        "count": 89,
        "sections": 1,
        "gpa": 3.2191011235955056
      }
    ]
  },
  {
    "uid": "instructor_38be2a247c7c7dbba2940183",
    "name": "RUIJIA CHEN",
    "count": 533,
    "terms": [
      {
        "term": "1242",
        "count": 196,
        "sections": 1,
        "gpa": 3.686224489795918
      },
      {
        "term": "1252",
        "count": 131,
        "sections": 1,
        "gpa": 3.377862595419847
      },
      {
        "term": "1254",
        "count": 206,
        "sections": 1,
        "gpa": 3.3689320388349513
      }
    ]
  },
  {
    "uid": "instructor_2cc229843182743a97ee9173",
    "name": "SUHAS KURUKURI",
    "count": 474,
    "terms": [
      {
        "term": "1244",
        "count": 137,
        "sections": 1,
        "gpa": 3.45985401459854
      },
      {
        "term": "1252",
        "count": 131,
        "sections": 1,
        "gpa": 3.377862595419847
      },
      {
        "term": "1254",
        "count": 206,
        "sections": 1,
        "gpa": 3.3689320388349513
      }
    ]
  },
  {
    "uid": "instructor_b5f4e2449dde73d6b787851f",
    "name": "LEO CUI",
    "count": 468,
    "terms": [
      {
        "term": "1242",
        "count": 196,
        "sections": 1,
        "gpa": 3.686224489795918
      },
      {
        "term": "1244",
        "count": 141,
        "sections": 1,
        "gpa": 3.4574468085106385
      },
      {
        "term": "1252",
        "count": 131,
        "sections": 1,
        "gpa": 3.377862595419847
      }
    ]
  },
  {
    "uid": "instructor_7bde01d4f4e35a263da8464a",
    "name": "YAXIN HU",
    "count": 334,
    "terms": [
      {
        "term": "1254",
        "count": 334,
        "sections": 2,
        "gpa": 3.342814371257485
      }
    ]
  },
  {
    "uid": "instructor_3de0ef4958551736222141f6",
    "name": "BILGE MUTLU",
    "count": 325,
    "terms": [
      {
        "term": "1232",
        "count": 47,
        "sections": 1,
        "gpa": 3.925531914893617
      },
      {
        "term": "1244",
        "count": 278,
        "sections": 2,
        "gpa": 3.45863309352518
      }
    ]
  },
  {
    "uid": "instructor_d622287a5d61055824e56bf0",
    "name": "RU WANG",
    "count": 298,
    "terms": [
      {
        "term": "1224",
        "count": 102,
        "sections": 1,
        "gpa": 3.514705882352941
      },
      {
        "term": "1242",
        "count": 196,
        "sections": 1,
        "gpa": 3.686224489795918
      }
    ]
  },
  {
    "uid": "instructor_9c17ea09eaa43d5549fd21b6",
    "name": "KATHRYN JENSEN",
    "count": 257,
    "terms": [
      {
        "term": "1264",
        "count": 257,
        "sections": 2,
        "gpa": 3.350194552529183
      }
    ]
  },
  {
    "uid": "instructor_b34dc75ce0f6fda755db33c1",
    "name": "NITHIN WEERASINGHE",
    "count": 243,
    "terms": [
      {
        "term": "1232",
        "count": 47,
        "sections": 1,
        "gpa": 3.925531914893617
      },
      {
        "term": "1242",
        "count": 196,
        "sections": 1,
        "gpa": 3.686224489795918
      }
    ]
  },
  {
    "uid": "instructor_359cdccbfac61b5240fc8100",
    "name": "KASSIE POVINELLI",
    "count": 227,
    "terms": [
      {
        "term": "1262",
        "count": 138,
        "sections": 1,
        "gpa": 3.4420289855072466
      },
      {
        "term": "1264",
        "count": 89,
        "sections": 1,
        "gpa": 3.2191011235955056
      }
    ]
  },
  {
    "uid": "instructor_be6c45e112a9bef6c576b820",
    "name": "BRANDON CEGELSKI",
    "count": 221,
    "terms": [
      {
        "term": "1222",
        "count": 119,
        "sections": 2,
        "gpa": 3.3865546218487395
      },
      {
        "term": "1224",
        "count": 102,
        "sections": 1,
        "gpa": 3.514705882352941
      }
    ]
  },
  {
    "uid": "instructor_034ff100e773963cee6ef089",
    "name": "HANXIU ZHU",
    "count": 202,
    "terms": [
      {
        "term": "1252",
        "count": 202,
        "sections": 1,
        "gpa": 3.3341584158415842
      }
    ]
  },
  {
    "uid": "instructor_f666c7cef8bd2248568df87c",
    "name": "KEXIN ZHANG",
    "count": 202,
    "terms": [
      {
        "term": "1252",
        "count": 202,
        "sections": 1,
        "gpa": 3.3341584158415842
      }
    ]
  },
  {
    "uid": "instructor_749951757ae9754aa453649d",
    "name": "ZACH POTTER",
    "count": 196,
    "terms": [
      {
        "term": "1242",
        "count": 196,
        "sections": 1,
        "gpa": 3.686224489795918
      }
    ]
  },
  {
    "uid": "instructor_363e5593ad3fe9bf0f89abc0",
    "name": "YISHEN SUN",
    "count": 171,
    "terms": [
      {
        "term": "1234",
        "count": 171,
        "sections": 1,
        "gpa": 3.5760233918128654
      }
    ]
  },
  {
    "uid": "instructor_1fda435d172bcce6702be588",
    "name": "HEIDI SPALITTA",
    "count": 168,
    "terms": [
      {
        "term": "1264",
        "count": 168,
        "sections": 1,
        "gpa": 3.419642857142857
      }
    ]
  },
  {
    "uid": "instructor_493ba46dfb6e37ab7bacdfb6",
    "name": "DANIEL KILLOUGH",
    "count": 142,
    "terms": [
      {
        "term": "1262",
        "count": 142,
        "sections": 1,
        "gpa": 3.4049295774647885
      }
    ]
  },
  {
    "uid": "instructor_12720834f2410b448507352d",
    "name": "MARK TERVO",
    "count": 128,
    "terms": [
      {
        "term": "1254",
        "count": 128,
        "sections": 1,
        "gpa": 3.30078125
      }
    ]
  },
  {
    "uid": "instructor_076937a7afc95fed688b7972",
    "name": "SUJITHA PERUMAL",
    "count": 119,
    "terms": [
      {
        "term": "1222",
        "count": 119,
        "sections": 2,
        "gpa": 3.3865546218487395
      }
    ]
  },
  {
    "uid": "instructor_22ed961ecca7e6e566a2535a",
    "name": "MUHAMMAD SALMAN MUNAF",
    "count": 119,
    "terms": [
      {
        "term": "1222",
        "count": 119,
        "sections": 2,
        "gpa": 3.3865546218487395
      }
    ]
  }
]
```

## following

None recorded.

## projection

### target

1272

### gpa

3.5414381165440427

### grades

| grade | percentage          |
| ----- | ------------------- |
| A     | 48.151475122370066  |
| AB    | 28.73753572896664   |
| B     | 13.735056297911827  |
| BC    | 4.915754310235062   |
| C     | 3.1701810991254775  |
| D     | 1.1216192459666683  |
| F     | 0.16837819542424953 |

### source Terms

* 1262
* 1252
* 1242
* 1232
* 1222

### source Count

1171

### same Season

true

### historical Range

* 3.38655462184874
* 3.925531914893617

### backtest

#### terms

3

#### gpa Error

0.16001253311838445

#### mix Error

21.729328725591756
