# COMPSCI/ECE 763: Trustworthy Artificial Intelligence | UW–Madison

[View on UW Courses](https://uwcourses.com/courses/COMPSCI_ECE_763)

## Dataset

### revision

e243353dcb7d79b7247ced91d69443ef4c2a6349

### repository

twangodev/uwcourses

### schema version

6

### importer version

7

### projection id

94468b7d4154126ca413937bb4738a6d21e0c2277f6fa397a6078ad80a32384f

### observed at

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

### built at

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

### courses

8951

### current instructors

5754

### limited

false

### terms

* 1272
* 1264
* 1262
* 1254
* 1252
* 1244
* 1242
* 1234
* 1232
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* 1222
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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

c7a8422717c36211df050e13dfa57e136c79a7d757799037205308b8c9ce4775

### course id

COMPSCI/ECE 763

### course uid

course\_d824bc76d129a20a49869bb7

### catalog version id

d6bd67899edb081c771e456fa9ad9c3af1c17926ccbfac08127a896a0e6a3a99

### course number

763

### subjects

* COMPSCI
* ECE

### title

TRUSTWORTHY ARTIFICIAL INTELLIGENCE

### description

Explore security and privacy aspects of trustworthy artificial intelligence.  Three core subjects will be considered: differential privacy and algorithmic fairness; adversarial machine learning; and end-to-end trustworthy systems. A selection of more advanced topics may be covered such as additional notions of privacy, language-based security, and robust optimization. Knowledge of probability/statistics (such as MATH  431), cryptography (such as MATH  435), security (such asCOMP SCI 642), and modern machine learning (such asM E/​COMP SCI/​E C E  539or540) is required.

### requirements text

Graduate/professional standing

### credit offering ids

None recorded.

### llm job id

enrich-8b774950c2b6adfdc46d1b82

### llm output id

aebed4b1d4ab34b9d834556b51e5a440a1974669e83126abdddc7b849f22e376

### llm model

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

### llm model revision

1355db6a052410cfd62085d94b58866fd0f2c3c5

### llm task version

14

### llm search status

valid

### llm summary

This course explores security and privacy in trustworthy AI, covering differential privacy, algorithmic fairness, adversarial machine learning, and end-to-end trustworthy systems.

### llm topics

* Differential privacy and algorithmic fairness
* Adversarial machine learning
* End-to-end trustworthy systems
* Advanced privacy, language-based security, and robust optimization

### llm skills

* Security and privacy analysis of AI systems.
* Differential privacy, algorithmic fairness, adversarial machine learning, and trustworthy system design.

### llm assumed background

* Probability and statistics, cryptography, information security, and machine learning fundamentals.
* Neural networks, AI principles, and probabilistic reasoning.

### llm search phrases

* trustworthy AI security
* differential privacy course
* adversarial machine learning graduate
* algorithmic fairness course
* secure AI systems

### llm requirements status

valid

### llm student summary status

valid

### llm experience status

insufficient\_evidence

### catalog variants

None recorded.

### student summary

#### context hash

5a500dd393e1a09b3f11d2f7ed4ac8f6820c899685898a515bb0cf5f770ac522

#### course id

COMPSCI/ECE 763

#### current instructors

None recorded.

#### difficulty workload

None recorded.

#### errors

None recorded.

#### historical context

None recorded.

#### message

No course-specific reviews available

#### offered

false

#### profile hash

5cb4dabf887cdbcd8c00d5a1312e10828b95c63f30bc3ea76aea199565390d02

#### quick take

Recent recorded grades — Fall 2020: 3.60 GPA, 75.0% A/AB (n=36 letter grades); Spring 2024: 3.90 GPA, 100.0% A/AB (n=21 letter grades); Spring 2026: 3.95 GPA, 100.0% A/AB (n=60 letter grades).

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#### student experience

None recorded.

#### task hash

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#### teaching history

None recorded.

#### term id

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#### term name

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#### version

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### requirements

#### nodes

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#### notes

None recorded.

#### root

n0

#### status

parsed

### instructors

None recorded.

### offerings

None recorded.

### sections

None recorded.

### grade instructors

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    "total": 60,
    "source_aliases": [
      "COMPSCI/ECE 763"
    ]
  }
]
```

### statistics

#### gpa

3.804

#### graded

158

#### counts

* 113
* 30
* 13
* 2
* 0
* 0
* 0

### grade conflicts

None recorded.

### evidence

#### history

* [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course\_d824bc76d129a20a49869bb7-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course_d824bc76d129a20a49869bb7-0.json)

#### traces

* [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course\_d824bc76d129a20a49869bb7-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course_d824bc76d129a20a49869bb7-0.json)

#### results

* [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course\_d824bc76d129a20a49869bb7-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course_d824bc76d129a20a49869bb7-0.json)

### revision

e243353dcb7d79b7247ced91d69443ef4c2a6349

## context

### all

#### term



#### gpa

3.8037974683544302

#### count

158

#### university

##### size

3463

##### gpa Percentile

64

##### count Percentile

68

##### median Count

90

##### 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 | 304   | false   |
| 3.2–3.6 | 1027  | false   |
| 3.6–4.0 | 2118  | true    |

#### departments

```json
[
  {
    "subject": "COMPSCI",
    "comparison": {
      "size": 89,
      "gpaPercentile": 66,
      "countPercentile": 52,
      "medianCount": 150,
      "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": 29,
          "current": false
        },
        {
          "range": "3.6–4.0",
          "count": 46,
          "current": true
        }
      ]
    }
  },
  {
    "subject": "ECE",
    "comparison": {
      "size": 90,
      "gpaPercentile": 78,
      "countPercentile": 64,
      "medianCount": 104,
      "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": 35,
          "current": false
        },
        {
          "range": "3.6–4.0",
          "count": 45,
          "current": true
        }
      ]
    }
  }
]
```

### terms

#### 1084

##### term

1084

##### gpa

3.7222222222222223

##### count

9

##### departments

| subject | comparison |
| ------- | ---------- |
| COMPSCI |            |
| ECE     |            |

#### 1104

##### term

1104

##### gpa

4

##### count

9

##### departments

| subject | comparison |
| ------- | ---------- |
| COMPSCI |            |
| ECE     |            |

#### 1202

##### term

1202

##### gpa

3.608695652173913

##### count

23

##### departments

| subject | comparison |
| ------- | ---------- |
| COMPSCI |            |
| ECE     |            |

#### 1212

##### term

1212

##### gpa

3.5972222222222223

##### count

36

##### university

###### size

1111

###### gpa Percentile

45

###### count Percentile

13

###### 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": 66,
      "countPercentile": 5,
      "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
        }
      ]
    }
  },
  {
    "subject": "ECE",
    "comparison": {
      "size": 41,
      "gpaPercentile": 58,
      "countPercentile": 15,
      "medianCount": 66,
      "histogram": [
        {
          "range": "0.0–0.4",
          "count": 0,
          "current": false
        },
        {
          "range": "0.4–0.8",
          "count": 0,
          "current": false
        },
        {
          "range": "0.8–1.2",
          "count": 0,
          "current": false
        },
        {
          "range": "1.2–1.6",
          "count": 0,
          "current": false
        },
        {
          "range": "1.6–2.0",
          "count": 0,
          "current": false
        },
        {
          "range": "2.0–2.4",
          "count": 0,
          "current": false
        },
        {
          "range": "2.4–2.8",
          "count": 0,
          "current": false
        },
        {
          "range": "2.8–3.2",
          "count": 5,
          "current": false
        },
        {
          "range": "3.2–3.6",
          "count": 19,
          "current": true
        },
        {
          "range": "3.6–4.0",
          "count": 17,
          "current": false
        }
      ]
    }
  }
]
```

#### 1244

##### term

1244

##### gpa

3.9047619047619047

##### count

21

##### departments

| subject | comparison |
| ------- | ---------- |
| COMPSCI |            |
| ECE     |            |

#### 1264

##### term

1264

##### gpa

3.95

##### count

60

##### university

###### size

1283

###### gpa Percentile

87

###### count Percentile

45

###### median Count

66

###### histogram

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

##### departments

```json
[
  {
    "subject": "COMPSCI",
    "comparison": {
      "size": 48,
      "gpaPercentile": 91,
      "countPercentile": 23,
      "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": false
        },
        {
          "range": "3.6–4.0",
          "count": 19,
          "current": true
        }
      ]
    }
  },
  {
    "subject": "ECE",
    "comparison": {
      "size": 45,
      "gpaPercentile": 91,
      "countPercentile": 43,
      "medianCount": 73,
      "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": 4,
          "current": false
        },
        {
          "range": "3.2–3.6",
          "count": 15,
          "current": false
        },
        {
          "range": "3.6–4.0",
          "count": 25,
          "current": true
        }
      ]
    }
  }
]
```

### benchmarks

#### all

##### school

###### size

3463

###### gpa

3.640736148085393

###### top Share

80.63928455018923

###### count

90

##### COMPSCI

###### size

89

###### gpa

3.572365971011779

###### top Share

77.08029934565313

###### count

150

##### ECE

###### size

90

###### gpa

3.5671394643276586

###### top Share

76.80229093248565

###### count

104

#### terms

##### 1084

###### school

###### size

720

###### gpa

3.3670742938849725

###### top Share

63.42064564712246

###### count

70

###### COMPSCI

###### size

14

###### gpa

3.144553029581605

###### top Share

50.3940565180559

###### count

59

###### ECE

###### size

16

###### gpa

3.0875185917763455

###### top Share

46.018020594418786

###### count

47.5

##### 1104

###### school

###### size

793

###### gpa

3.384661458923085

###### top Share

64.6614752434143

###### count

66

###### COMPSCI

###### size

22

###### gpa

3.200534462173063

###### top Share

56.78409435721555

###### count

51.5

###### ECE

###### size

18

###### gpa

3.0763591673236226

###### top Share

47.17040644572389

###### count

55.5

##### 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

###### ECE

###### size

37

###### gpa

3.4499953407109865

###### top Share

70.66752329901533

###### count

78

##### 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

###### ECE

###### size

41

###### gpa

3.5390420098740205

###### top Share

74.4144228117487

###### count

66

##### 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

###### ECE

###### size

38

###### gpa

3.554019248602149

###### top Share

75.22296238620345

###### count

83.5

##### 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

###### ECE

###### size

45

###### gpa

3.5814138447018746

###### top Share

77.53027985486403

###### count

73

## instructor Trends

```json
[
  {
    "uid": "instructor_bf4a81f6aa7c91dfe31d8633",
    "name": "SOMESH JHA",
    "count": 81,
    "terms": [
      {
        "term": "1244",
        "count": 21,
        "sections": 1,
        "gpa": 3.9047619047619047
      },
      {
        "term": "1264",
        "count": 60,
        "sections": 1,
        "gpa": 3.95
      }
    ]
  },
  {
    "uid": "instructor_c80d4117eaf07fc3982dcc32",
    "name": "SAIKUMAR YADUGIRI",
    "count": 60,
    "terms": [
      {
        "term": "1264",
        "count": 60,
        "sections": 1,
        "gpa": 3.95
      }
    ]
  },
  {
    "uid": "instructor_667f8a8519e91a6f15c4f62c",
    "name": "JUSTIN HSU",
    "count": 59,
    "terms": [
      {
        "term": "1202",
        "count": 23,
        "sections": 1,
        "gpa": 3.608695652173913
      },
      {
        "term": "1212",
        "count": 36,
        "sections": 1,
        "gpa": 3.5972222222222223
      }
    ]
  },
  {
    "uid": "instructor_45c688a832d566f51e913d6d",
    "name": "WILLIS TOMPKINS",
    "count": 18,
    "terms": [
      {
        "term": "1084",
        "count": 9,
        "sections": 1,
        "gpa": 3.7222222222222223
      },
      {
        "term": "1104",
        "count": 9,
        "sections": 1,
        "gpa": 4
      }
    ]
  }
]
```

## following

None recorded.
