# ECON 966: Workshop on Quantitative Macro-economic Analysis | UW–Madison

[View on UW Courses](https://uwcourses.com/courses/ECON_966)

## 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

0bc0910a2fddf6728acf87299fecbf182adf422cfc601193a4d79d6ee35dff94

### course id

ECON 966

### course uid

course\_9d87dc2b172591299cf0de97

### catalog version id

988afa0c5b9e5ee2aa846276f948df93c3e0db3c689efeec2809fe57f5641ac7

### course number

966

### subjects

* ECON

### title

WORKSHOP ON QUANTITATIVE MACRO-ECONOMIC ANALYSIS

### description

Second in a two seminar sequence on current research on macroeconomic models, monetary theory and policy, the theory of portfolio selection, and the allocative and distributive performance of capital markets.

### requirements text

Graduate/professional standing

### credit offering ids

None recorded.

### llm job id

enrich-8b774950c2b6adfdc46d1b82

### llm output id

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### llm model

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

### llm model revision

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### llm task version

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### llm search status

valid

### llm summary

A graduate seminar covering macroeconomic models, monetary policy, portfolio selection, and capital market performance.

### llm topics

* Macroeconomic models
* Monetary theory and policy
* Portfolio selection
* Capital market performance

### llm skills

* Analysis of macroeconomic models
* Understanding monetary theory and policy
* Portfolio selection theory
* Analysis of capital market performance

### llm assumed background

* Completion of the first seminar in the sequence
* Graduate or professional student status

### llm search phrases

* macroeconomic models
* monetary theory
* portfolio selection
* capital markets
* quantitative macro analysis

### llm requirements status

valid

### llm student summary status

valid

### llm experience status

insufficient\_evidence

### catalog variants

None recorded.

### student summary

#### context hash

52d704b6fc62a75b375e8f7d9bed67a4918610f9f571a764240d02ef4b7d297e

#### course id

ECON 966

#### 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

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#### quick take

Recent recorded grades — Spring 2024: 4.00 GPA, 100.0% A/AB (n=23 letter grades); Spring 2025: 4.00 GPA, 100.0% A/AB (n=22 letter grades); Spring 2026: 4.00 GPA, 100.0% A/AB (n=17 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

2026 Fall

#### version

2

### 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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    "term_id": "1244",
    "term_name": "Spring 2024",
    "instructors": [
      "Job Boerma",
      "PAOLO MARTELLINI"
    ],
    "a": 23,
    "ab": 0,
    "b": 0,
    "bc": 0,
    "c": 0,
    "d": 0,
    "f": 0,
    "satisfactory": 0,
    "unsatisfactory": 0,
    "credit": 0,
    "no_credit": 0,
    "passed": 0,
    "incomplete": 0,
    "no_work": 0,
    "not_reported": 0,
    "other": 0,
    "total": 23,
    "source_aliases": [
      "ECON 966"
    ]
  },
  {
    "run_id": "20260907T155543-ce3781c4",
    "semester": "1272",
    "observed_at": "2026-09-07 15:55:43.033547+00:00",
    "course_id": "ECON 966",
    "course_uid": "course_9d87dc2b172591299cf0de97",
    "term_id": "1254",
    "term_name": "Spring 2025",
    "instructors": [
      "JOHN BRAXTON",
      "PHILIP CORBAE"
    ],
    "a": 22,
    "ab": 0,
    "b": 0,
    "bc": 0,
    "c": 0,
    "d": 0,
    "f": 0,
    "satisfactory": 0,
    "unsatisfactory": 0,
    "credit": 0,
    "no_credit": 0,
    "passed": 0,
    "incomplete": 0,
    "no_work": 0,
    "not_reported": 0,
    "other": 0,
    "total": 22,
    "source_aliases": [
      "ECON 966"
    ]
  },
  {
    "run_id": "20260907T155543-ce3781c4",
    "semester": "1272",
    "observed_at": "2026-09-07 15:55:43.033547+00:00",
    "course_id": "ECON 966",
    "course_uid": "course_9d87dc2b172591299cf0de97",
    "term_id": "1264",
    "term_name": "Spring 2026",
    "instructors": [
      "Job Boerma",
      "Kenneth West"
    ],
    "a": 17,
    "ab": 0,
    "b": 0,
    "bc": 0,
    "c": 0,
    "d": 0,
    "f": 0,
    "satisfactory": 0,
    "unsatisfactory": 0,
    "credit": 0,
    "no_credit": 0,
    "passed": 0,
    "incomplete": 0,
    "no_work": 0,
    "not_reported": 0,
    "other": 0,
    "total": 17,
    "source_aliases": [
      "ECON 966"
    ]
  }
]
```

### statistics

#### gpa

4

#### graded

352

#### counts

* 352
* 0
* 0
* 0
* 0
* 0
* 0

### grade conflicts

None recorded.

### evidence

#### history

* [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course\_9d87dc2b172591299cf0de97-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course_9d87dc2b172591299cf0de97-0.json)

#### traces

* [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course\_9d87dc2b172591299cf0de97-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course_9d87dc2b172591299cf0de97-0.json)

#### results

* [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course\_9d87dc2b172591299cf0de97-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course_9d87dc2b172591299cf0de97-0.json)

### revision

e243353dcb7d79b7247ced91d69443ef4c2a6349

## context

### all

#### term



#### gpa

4

#### count

352

#### university

##### size

4298

##### gpa Percentile

96

##### count Percentile

69

##### median Count

170

##### 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 | 12    | false   |
| 2.8–3.2 | 316   | false   |
| 3.2–3.6 | 1235  | false   |
| 3.6–4.0 | 2735  | true    |

#### departments

```json
[
  {
    "subject": "ECON",
    "comparison": {
      "size": 93,
      "gpaPercentile": 95,
      "countPercentile": 58,
      "medianCount": 271,
      "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": 19,
          "current": false
        },
        {
          "range": "3.2–3.6",
          "count": 41,
          "current": false
        },
        {
          "range": "3.6–4.0",
          "count": 32,
          "current": true
        }
      ]
    }
  }
]
```

### terms

#### 1074

##### term

1074

##### gpa

4

##### count

12

##### departments

| subject | comparison |
| ------- | ---------- |
| ECON    |            |

#### 1084

##### term

1084

##### gpa

4

##### count

12

##### departments

| subject | comparison |
| ------- | ---------- |
| ECON    |            |

#### 1094

##### term

1094

##### gpa

4

##### count

13

##### departments

| subject | comparison |
| ------- | ---------- |
| ECON    |            |

#### 1104

##### term

1104

##### gpa

4

##### count

20

##### departments

| subject | comparison |
| ------- | ---------- |
| ECON    |            |

#### 1114

##### term

1114

##### gpa

4

##### count

30

##### university

###### size

804

###### gpa Percentile

97

###### count Percentile

0

###### 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 | 53    | false   |
| 2.8–3.2 | 231   | false   |
| 3.2–3.6 | 292   | false   |
| 3.6–4.0 | 227   | true    |

##### departments

```json
[
  {
    "subject": "ECON",
    "comparison": {
      "size": 30,
      "gpaPercentile": 100,
      "countPercentile": 0,
      "medianCount": 77.5,
      "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": 2,
          "current": false
        },
        {
          "range": "2.8–3.2",
          "count": 20,
          "current": false
        },
        {
          "range": "3.2–3.6",
          "count": 6,
          "current": false
        },
        {
          "range": "3.6–4.0",
          "count": 2,
          "current": true
        }
      ]
    }
  }
]
```

#### 1124

##### term

1124

##### gpa

4

##### count

26

##### departments

| subject | comparison |
| ------- | ---------- |
| ECON    |            |

#### 1134

##### term

1134

##### gpa

4

##### count

19

##### departments

| subject | comparison |
| ------- | ---------- |
| ECON    |            |

#### 1144

##### term

1144

##### gpa

4

##### count

20

##### departments

| subject | comparison |
| ------- | ---------- |
| ECON    |            |

#### 1154

##### term

1154

##### gpa

4

##### count

24

##### departments

| subject | comparison |
| ------- | ---------- |
| ECON    |            |

#### 1164

##### term

1164

##### gpa

4

##### count

24

##### departments

| subject | comparison |
| ------- | ---------- |
| ECON    |            |

#### 1184

##### term

1184

##### gpa

4

##### count

24

##### departments

| subject | comparison |
| ------- | ---------- |
| ECON    |            |

#### 1204

##### term

1204

##### gpa

4

##### count

24

##### departments

| subject | comparison |
| ------- | ---------- |
| ECON    |            |

#### 1224

##### term

1224

##### gpa

4

##### count

24

##### departments

| subject | comparison |
| ------- | ---------- |
| ECON    |            |

#### 1234

##### term

1234

##### gpa

4

##### count

18

##### departments

| subject | comparison |
| ------- | ---------- |
| ECON    |            |

#### 1244

##### term

1244

##### gpa

4

##### count

23

##### departments

| subject | comparison |
| ------- | ---------- |
| ECON    |            |

#### 1254

##### term

1254

##### gpa

4

##### count

22

##### departments

| subject | comparison |
| ------- | ---------- |
| ECON    |            |

#### 1264

##### term

1264

##### gpa

4

##### count

17

##### departments

| subject | comparison |
| ------- | ---------- |
| ECON    |            |

### benchmarks

#### all

##### school

###### size

4298

###### gpa

3.6599169512129595

###### top Share

81.92066096643725

###### count

170

##### ECON

###### size

93

###### gpa

3.4774861160881474

###### top Share

69.63208208505338

###### count

271

#### terms

##### 1074

###### school

###### size

695

###### gpa

3.3616924722887376

###### top Share

63.22509110105764

###### count

69

###### ECON

###### size

24

###### gpa

3.0960407551872513

###### top Share

46.2650427535755

###### count

59.5

##### 1084

###### school

###### size

720

###### gpa

3.3670742938849725

###### top Share

63.42064564712246

###### count

70

###### ECON

###### size

25

###### gpa

3.073087699389916

###### top Share

43.15959970605676

###### count

50

##### 1094

###### school

###### size

758

###### gpa

3.3891454428111527

###### top Share

64.36369814389255

###### count

71

###### ECON

###### size

24

###### gpa

3.099801320049821

###### top Share

46.01712162458005

###### count

97

##### 1104

###### school

###### size

793

###### gpa

3.384661458923085

###### top Share

64.6614752434143

###### count

66

###### ECON

###### size

26

###### gpa

3.0962545846673475

###### top Share

43.96318163657184

###### count

93

##### 1114

###### school

###### size

804

###### gpa

3.3696004653806844

###### top Share

64.0389334741844

###### count

68

###### ECON

###### size

30

###### gpa

3.1045723943198005

###### top Share

45.996271584616245

###### count

77.5

##### 1124

###### school

###### size

821

###### gpa

3.406589342026613

###### top Share

66.35774230127205

###### count

67

###### ECON

###### size

24

###### gpa

3.138562080604336

###### top Share

49.97311224248656

###### count

116

##### 1134

###### school

###### size

852

###### gpa

3.4138934207568203

###### top Share

66.35946578182744

###### count

66

###### ECON

###### size

25

###### gpa

3.114628747436501

###### top Share

45.45283598859919

###### count

109

##### 1144

###### school

###### size

878

###### gpa

3.4092443327803017

###### top Share

65.95978235963416

###### count

64

###### ECON

###### size

28

###### gpa

3.1980885064740128

###### top Share

51.73890040686708

###### count

80.5

##### 1154

###### school

###### size

935

###### gpa

3.4282378385810093

###### top Share

67.66674668721691

###### count

63

###### ECON

###### size

30

###### gpa

3.212244027927608

###### top Share

51.42727757714087

###### count

77

##### 1164

###### school

###### size

965

###### gpa

3.46491230798535

###### top Share

69.92376287143657

###### count

68

###### ECON

###### size

32

###### gpa

3.2386078353906425

###### top Share

54.482642655777084

###### count

83

##### 1174

###### school

###### size

955

###### gpa

3.4597947384071412

###### top Share

69.5290038366363

###### count

69

###### ECON

###### size

31

###### gpa

3.262762293275924

###### top Share

56.37213628921166

###### count

97

##### 1184

###### school

###### size

1010

###### gpa

3.47925290354517

###### top Share

70.86270937115944

###### count

68

###### ECON

###### size

33

###### gpa

3.323005038886213

###### top Share

59.81252867468931

###### count

87

##### 1194

###### school

###### size

1040

###### gpa

3.4906527436719808

###### top Share

71.74728845515045

###### count

67

###### ECON

###### size

33

###### gpa

3.2532291931353967

###### top Share

55.37138838007602

###### count

91

##### 1204

###### school

###### size

1012

###### gpa

3.703747431523761

###### top Share

84.59811226304916

###### count

65.5

###### ECON

###### size

33

###### gpa

3.5818404132725767

###### top Share

77.38790104739134

###### count

79

##### 1224

###### school

###### size

1171

###### gpa

3.5627882428500937

###### top Share

76.37271640560496

###### count

64

###### ECON

###### size

37

###### gpa

3.358824647431352

###### top Share

62.02356029673636

###### count

71

##### 1234

###### school

###### size

1188

###### gpa

3.5799441677552393

###### top Share

77.18256448537606

###### count

65

###### ECON

###### size

36

###### gpa

3.338494521920077

###### top Share

61.825472132927935

###### count

70.5

##### 1244

###### school

###### size

1241

###### gpa

3.5975573126929192

###### top Share

78.29036874847135

###### count

65

###### ECON

###### size

36

###### gpa

3.386885708485864

###### top Share

63.919049551615416

###### count

85.5

##### 1254

###### school

###### size

1289

###### gpa

3.6126423469389106

###### top Share

79.48050408754871

###### count

66

###### ECON

###### size

39

###### gpa

3.4082741335226703

###### top Share

66.64551412266185

###### count

73

##### 1264

###### school

###### size

1283

###### gpa

3.6229729166451925

###### top Share

80.13669149396227

###### count

66

###### ECON

###### size

37

###### gpa

3.41582518818968

###### top Share

66.18686699083136

###### count

53

## instructor Trends

```json
[
  {
    "uid": "instructor_23263cb3b7f0e0127180c9ae",
    "name": "NOAH WILLIAMS",
    "count": 115,
    "terms": [
      {
        "term": "1134",
        "count": 19,
        "sections": 1,
        "gpa": 4
      },
      {
        "term": "1164",
        "count": 24,
        "sections": 1,
        "gpa": 4
      },
      {
        "term": "1184",
        "count": 24,
        "sections": 1,
        "gpa": 4
      },
      {
        "term": "1204",
        "count": 24,
        "sections": 1,
        "gpa": 4
      },
      {
        "term": "1224",
        "count": 24,
        "sections": 1,
        "gpa": 4
      }
    ]
  },
  {
    "uid": "instructor_aed158a433e60805fb0ecf2a",
    "name": "KENICHI FUKUSHIMA",
    "count": 76,
    "terms": [
      {
        "term": "1114",
        "count": 30,
        "sections": 1,
        "gpa": 4
      },
      {
        "term": "1124",
        "count": 26,
        "sections": 1,
        "gpa": 4
      },
      {
        "term": "1144",
        "count": 20,
        "sections": 1,
        "gpa": 4
      }
    ]
  },
  {
    "uid": "instructor_5b698f1d6b14fe74c47ddbd5",
    "name": "ANANTH SESHADRI",
    "count": 69,
    "terms": [
      {
        "term": "1094",
        "count": 13,
        "sections": 1,
        "gpa": 4
      },
      {
        "term": "1114",
        "count": 30,
        "sections": 1,
        "gpa": 4
      },
      {
        "term": "1124",
        "count": 26,
        "sections": 1,
        "gpa": 4
      }
    ]
  },
  {
    "uid": "instructor_24d7adf03f12571002ca5400",
    "name": "KENNETH WEST",
    "count": 67,
    "terms": [
      {
        "term": "1124",
        "count": 26,
        "sections": 1,
        "gpa": 4
      },
      {
        "term": "1184",
        "count": 24,
        "sections": 1,
        "gpa": 4
      },
      {
        "term": "1264",
        "count": 17,
        "sections": 1,
        "gpa": 4
      }
    ]
  },
  {
    "uid": "instructor_cff990eba15659dfee8e0731",
    "name": "STEVEN DURLAUF",
    "count": 45,
    "terms": [
      {
        "term": "1074",
        "count": 12,
        "sections": 1,
        "gpa": 4
      },
      {
        "term": "1094",
        "count": 13,
        "sections": 1,
        "gpa": 4
      },
      {
        "term": "1104",
        "count": 20,
        "sections": 1,
        "gpa": 4
      }
    ]
  },
  {
    "uid": "instructor_be8adaade34ff992e62d1fc7",
    "name": "JOHN BRAXTON",
    "count": 40,
    "terms": [
      {
        "term": "1234",
        "count": 18,
        "sections": 1,
        "gpa": 4
      },
      {
        "term": "1254",
        "count": 22,
        "sections": 1,
        "gpa": 4
      }
    ]
  },
  {
    "uid": "instructor_ddb64f824e2155771651bf27",
    "name": "JOB BOERMA",
    "count": 40,
    "terms": [
      {
        "term": "1244",
        "count": 23,
        "sections": 1,
        "gpa": 4
      },
      {
        "term": "1264",
        "count": 17,
        "sections": 1,
        "gpa": 4
      }
    ]
  },
  {
    "uid": "instructor_0a01265f9ed473506dd53ed0",
    "name": "CHARLES ENGEL",
    "count": 30,
    "terms": [
      {
        "term": "1114",
        "count": 30,
        "sections": 1,
        "gpa": 4
      }
    ]
  },
  {
    "uid": "instructor_5415d397e66f5a8d4cc7f008",
    "name": "RANDALL WRIGHT",
    "count": 30,
    "terms": [
      {
        "term": "1114",
        "count": 30,
        "sections": 1,
        "gpa": 4
      }
    ]
  },
  {
    "uid": "instructor_f41cfddf12ddb0a4ab6da89b",
    "name": "NICOLAS ROYS",
    "count": 30,
    "terms": [
      {
        "term": "1114",
        "count": 30,
        "sections": 1,
        "gpa": 4
      }
    ]
  },
  {
    "uid": "instructor_de07441da699d12f1cc3d0b7",
    "name": "MARZENA ROSTEK",
    "count": 24,
    "terms": [
      {
        "term": "1154",
        "count": 24,
        "sections": 1,
        "gpa": 4
      }
    ]
  },
  {
    "uid": "instructor_244fd7461d9fe3d9b4efa723",
    "name": "PAOLO MARTELLINI",
    "count": 23,
    "terms": [
      {
        "term": "1244",
        "count": 23,
        "sections": 1,
        "gpa": 4
      }
    ]
  },
  {
    "uid": "instructor_76b334a0de3d7e0ec20188a7",
    "name": "PHILIP CORBAE",
    "count": 22,
    "terms": [
      {
        "term": "1254",
        "count": 22,
        "sections": 1,
        "gpa": 4
      }
    ]
  },
  {
    "uid": "instructor_5e5c202c1d103ceb06cde9cb",
    "name": "YONGSEOK SHIN",
    "count": 12,
    "terms": [
      {
        "term": "1084",
        "count": 12,
        "sections": 1,
        "gpa": 4
      }
    ]
  }
]
```

## following

None recorded.
