# MATH 567: Modern Number Theory | UW–Madison

[View on UW Courses](https://uwcourses.com/courses/MATH_567)

## Dataset

### revision

e243353dcb7d79b7247ced91d69443ef4c2a6349

### repository

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### schema version

6

### importer version

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### projection id

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### observed at

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### built at

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### current instructors

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### limited

false

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### term

1272

### departments

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| SURGERY   | 25    |
| SURGSCI   | 33    |
| THEATRE   | 91    |
| URBRPL    | 60    |
| UROLOGY   | 5     |
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## course

### run id

20260907T155543-ce3781c4

### semester

1272

### observed at

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

### record version id

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### course id

MATH 567

### course uid

course\_a75fa380f07449fe8cb71571

### catalog version id

928471f69e2775fd168cdbec107781c23f00d79dd9f18d2ed3d9ea5375cddd9a

### course number

567

### subjects

* MATH

### title

MODERN NUMBER THEORY

### description

A course in number theory covering fundamentals and modern applications in topics of recent interest: Modular arithmetic, quadratic reciprocity, arithmetic functions, zeta function, Diophantine equations, transcendental numbers, Roth's theorem, continued fractions, and the circle method. Optional material from probability including random matrix theory.

### requirements text

MATH 541or graduate/professional standing or member of the Pre-Masters Mathematics (Visiting International) Program

### credit offering ids

None recorded.

### llm job id

enrich-f516c4d3e82cfe326b4f5f54

### llm output id

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### llm model revision

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### llm task version

14

### llm search status

valid

### llm summary

Modern Number Theory covers fundamentals and modern applications including modular arithmetic, Diophantine equations, and random matrix theory.

### llm topics

* Core number theory topics: modular arithmetic, reciprocity, zeta function, Diophantine equations, and transcendental numbers.
* Optional probability applications, specifically random matrix theory.

### llm skills

* Applying number theory fundamentals to modern research topics.
* Integrating probability concepts like random matrix theory into number theory.

### llm assumed background

* Abstract algebra fundamentals including group theory, ring theory, and homomorphisms.

### llm search phrases

* number theory applications
* modular arithmetic quadratic reciprocity
* Diophantine equations zeta function
* Roth's theorem continued fractions
* MATH 567 prerequisites

### llm requirements status

valid

### llm student summary status

valid

### llm experience status

valid

### catalog variants

None recorded.

### student summary

#### context hash

961905919e08b8d453d977e9fd6a3506608a42ab79a9d6ad50cad9b836315534

#### course id

MATH 567

#### current instructors

None recorded.

#### difficulty workload

Historical reviews of Yousheng Shi: Reviewers describe the course as exam-heavy with difficult tests, requiring significant study and a strong background in abstract algebra.

```json
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    {
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```

#### errors

None recorded.

#### historical context

Historical reviews of Andrei Caldararu, Daniel Erman, Dmytro Arinkin: Dmytro Arinkin and Daniel Erman are praised for clarity, passion, and making difficult material approachable. Andrei Caldararu is knowledgeable but requires significant study and offers unclear grading feedback until the semester ends.

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      "review_date": "2013-11-11 21:05:28 +0000 UTC",
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    {
      "instructor_name": "Daniel Erman",
      "review_date": "2017-05-15 05:34:45 +0000 UTC",
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    },
    {
      "instructor_name": "Daniel Erman",
      "review_date": "2018-11-30 18:17:58 +0000 UTC",
      "review_id": "39a959de590caa8a6ec487fe",
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      "type": "review"
    },
    {
      "instructor_name": "Andrei Caldararu",
      "review_date": "2020-05-19 18:11:24 +0000 UTC",
      "review_id": "9e8adc5d0f25ad122e85e7d1",
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```

#### offered

false

#### profile hash

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#### quick take

Historical reviews for MATH 567 show starkly different experiences depending on the instructor, ranging from highly praised engaging lectures to complaints about difficult exams and unclear grading.

```json
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    {
      "instructor_name": "Dmytro Arinkin",
      "review_date": "2013-11-11 21:05:28 +0000 UTC",
      "review_id": "43de72faece3b1678f3349b9",
      "run_id": "20260907T155543-ce3781c4",
      "source_instructor_id": "rmp:1769534",
      "source_review_id": "UmF0aW5nLTIyMjk1MzQ3",
      "source_url": "https://www.ratemyprofessors.com/professor/1769534",
      "type": "review"
    },
    {
      "instructor_name": "Dmytro Arinkin",
      "review_date": "2015-12-29 20:43:50 +0000 UTC",
      "review_id": "ee4a2d954df152319030706c",
      "run_id": "20260907T155543-ce3781c4",
      "source_instructor_id": "rmp:1769534",
      "source_review_id": "UmF0aW5nLTI1ODQ2MTg2",
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    {
      "instructor_name": "Daniel Erman",
      "review_date": "2017-05-15 05:34:45 +0000 UTC",
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    },
    {
      "instructor_name": "Daniel Erman",
      "review_date": "2018-11-30 18:17:58 +0000 UTC",
      "review_id": "39a959de590caa8a6ec487fe",
      "run_id": "20260907T155543-ce3781c4",
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      "source_url": "https://www.ratemyprofessors.com/professor/1852275",
      "type": "review"
    },
    {
      "instructor_name": "Andrei Caldararu",
      "review_date": "2020-05-19 18:11:24 +0000 UTC",
      "review_id": "9e8adc5d0f25ad122e85e7d1",
      "run_id": "20260907T155543-ce3781c4",
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      "source_review_id": "UmF0aW5nLTMzMzMyOTE0",
      "source_url": "https://www.ratemyprofessors.com/professor/802342",
      "type": "review"
    },
    {
      "instructor_name": "Yousheng Shi",
      "review_date": "2023-04-13 19:50:15 +0000 UTC",
      "review_id": "39ed7ef22ae61124cefc8634",
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    {
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      "review_date": "2023-05-15 06:04:05 +0000 UTC",
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    {
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      "review_date": "2023-05-17 15:14:43 +0000 UTC",
      "review_id": "22e82aec5ae024f3b77a9bbd",
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      "source_url": "https://www.ratemyprofessors.com/professor/2539834",
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    {
      "instructor_name": "Yousheng Shi",
      "review_date": "2023-06-02 04:29:16 +0000 UTC",
      "review_id": "cdf6ef9b6a248b0be058079b",
      "run_id": "20260907T155543-ce3781c4",
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      "source_url": "https://www.ratemyprofessors.com/professor/2539834",
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```

Recent recorded grades — Spring 2024: 2.93 GPA, 28.6% A/AB (n=7 letter grades); Spring 2025: 3.23 GPA, 55.0% A/AB (n=20 letter grades); Spring 2026: 3.22 GPA, 68.8% A/AB (n=16 letter grades).

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```

#### student experience

Historical reviews of Daniel Erman, Dmytro Arinkin: Students found the class enjoyable and fun when taught by instructors who provided clear examples and made material approachable.

```json
{
  "citations": [
    {
      "instructor_name": "Dmytro Arinkin",
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    {
      "instructor_name": "Daniel Erman",
      "review_date": "2017-05-15 05:34:45 +0000 UTC",
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}
```

#### task hash

74fb0997943e888960bbc9e47db8c4fd12e4292d55c20509d8d89db6a9910f68

#### teaching history

ANDREI CALDARARU is recorded teaching in Fall 2017, Spring 2020, Spring 2026. Recorded history may be incomplete and does not establish a future schedule.

```json
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}
```

DANIEL ERMAN is recorded teaching in Fall 2016, Fall 2018. Recorded history may be incomplete and does not establish a future schedule.

```json
{
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}
```

DMYTRO ARINKIN is recorded teaching in Fall 2013, Fall 2014, Fall 2015. Recorded history may be incomplete and does not establish a future schedule.

```json
{
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      },
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}
```

YOUSHENG SHI is recorded teaching in Spring 2022, Spring 2023. Recorded history may be incomplete and does not establish a future schedule.

```json
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}
```

#### term id

1272

#### term name

2026 Fall

#### version

2

### requirements

#### nodes

```json
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    "id": "n3",
    "kind": "condition"
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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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    "course_uid": "course_a75fa380f07449fe8cb71571",
    "term_id": "1264",
    "term_name": "Spring 2026",
    "instructors": [
      "Andrei Caldararu"
    ],
    "a": 6,
    "ab": 5,
    "b": 2,
    "bc": 0,
    "c": 2,
    "d": 0,
    "f": 1,
    "satisfactory": 0,
    "unsatisfactory": 0,
    "credit": 0,
    "no_credit": 0,
    "passed": 0,
    "incomplete": 0,
    "no_work": 0,
    "not_reported": 0,
    "other": 0,
    "total": 16,
    "source_aliases": [
      "MATH 567"
    ]
  }
]
```

### statistics

#### gpa

3.165

#### graded

434

#### counts

* 167
* 68
* 89
* 33
* 47
* 24
* 6

### grade conflicts

None recorded.

### evidence

#### history

* [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course\_a75fa380f07449fe8cb71571-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course_a75fa380f07449fe8cb71571-0.json)

#### traces

* [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course\_a75fa380f07449fe8cb71571-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course_a75fa380f07449fe8cb71571-0.json)

#### reviews

* [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/reviews/course\_a75fa380f07449fe8cb71571-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/reviews/course_a75fa380f07449fe8cb71571-0.json)

#### results

* [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course\_a75fa380f07449fe8cb71571-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course_a75fa380f07449fe8cb71571-0.json)

### revision

e243353dcb7d79b7247ced91d69443ef4c2a6349

## context

### all

#### term



#### gpa

3.164746543778802

#### count

434

#### university

##### size

4720

##### gpa Percentile

7

##### count Percentile

76

##### median Count

162

##### 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 | 15    | false   |
| 2.8–3.2 | 352   | true    |
| 3.2–3.6 | 1317  | false   |
| 3.6–4.0 | 3036  | false   |

#### departments

```json
[
  {
    "subject": "MATH",
    "comparison": {
      "size": 120,
      "gpaPercentile": 27,
      "countPercentile": 72,
      "medianCount": 161.5,
      "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": 5,
          "current": false
        },
        {
          "range": "2.8–3.2",
          "count": 32,
          "current": true
        },
        {
          "range": "3.2–3.6",
          "count": 21,
          "current": false
        },
        {
          "range": "3.6–4.0",
          "count": 62,
          "current": false
        }
      ]
    }
  }
]
```

### terms

#### 1072

##### term

1072

##### gpa

3.0526315789473686

##### count

19

##### departments

| subject | comparison |
| ------- | ---------- |
| MATH    |            |

#### 1082

##### term

1082

##### gpa

3.4285714285714284

##### count

7

##### departments

| subject | comparison |
| ------- | ---------- |
| MATH    |            |

#### 1092

##### term

1092

##### gpa

3.0921052631578947

##### count

38

##### university

###### size

732

###### gpa Percentile

24

###### count Percentile

15

###### 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 | 41    | false   |
| 2.8–3.2 | 208   | true    |
| 3.2–3.6 | 271   | false   |
| 3.6–4.0 | 211   | false   |

##### departments

```json
[
  {
    "subject": "MATH",
    "comparison": {
      "size": 22,
      "gpaPercentile": 81,
      "countPercentile": 5,
      "medianCount": 131,
      "histogram": [
        {
          "range": "0.0–0.4",
          "count": 0,
          "current": false
        },
        {
          "range": "0.4–0.8",
          "count": 0,
          "current": false
        },
        {
          "range": "0.8–1.2",
          "count": 0,
          "current": false
        },
        {
          "range": "1.2–1.6",
          "count": 0,
          "current": false
        },
        {
          "range": "1.6–2.0",
          "count": 0,
          "current": false
        },
        {
          "range": "2.0–2.4",
          "count": 1,
          "current": false
        },
        {
          "range": "2.4–2.8",
          "count": 9,
          "current": false
        },
        {
          "range": "2.8–3.2",
          "count": 10,
          "current": true
        },
        {
          "range": "3.2–3.6",
          "count": 1,
          "current": false
        },
        {
          "range": "3.6–4.0",
          "count": 1,
          "current": false
        }
      ]
    }
  }
]
```

#### 1102

##### term

1102

##### gpa

3.212121212121212

##### count

33

##### university

###### size

774

###### gpa Percentile

34

###### count Percentile

7

###### 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 | 1     | false   |
| 2.0–2.4 | 1     | false   |
| 2.4–2.8 | 49    | false   |
| 2.8–3.2 | 201   | false   |
| 3.2–3.6 | 287   | true    |
| 3.6–4.0 | 235   | false   |

##### departments

```json
[
  {
    "subject": "MATH",
    "comparison": {
      "size": 27,
      "gpaPercentile": 81,
      "countPercentile": 4,
      "medianCount": 76,
      "histogram": [
        {
          "range": "0.0–0.4",
          "count": 0,
          "current": false
        },
        {
          "range": "0.4–0.8",
          "count": 0,
          "current": false
        },
        {
          "range": "0.8–1.2",
          "count": 0,
          "current": false
        },
        {
          "range": "1.2–1.6",
          "count": 0,
          "current": false
        },
        {
          "range": "1.6–2.0",
          "count": 0,
          "current": false
        },
        {
          "range": "2.0–2.4",
          "count": 1,
          "current": false
        },
        {
          "range": "2.4–2.8",
          "count": 8,
          "current": false
        },
        {
          "range": "2.8–3.2",
          "count": 11,
          "current": false
        },
        {
          "range": "3.2–3.6",
          "count": 7,
          "current": true
        },
        {
          "range": "3.6–4.0",
          "count": 0,
          "current": false
        }
      ]
    }
  }
]
```

#### 1112

##### term

1112

##### gpa

3.1842105263157894

##### count

19

##### departments

| subject | comparison |
| ------- | ---------- |
| MATH    |            |

#### 1122

##### term

1122

##### gpa

3.096774193548387

##### count

31

##### university

###### size

804

###### gpa Percentile

25

###### count Percentile

2

###### 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 | 3     | false   |
| 2.4–2.8 | 47    | false   |
| 2.8–3.2 | 224   | true    |
| 3.2–3.6 | 282   | false   |
| 3.6–4.0 | 248   | false   |

##### departments

```json
[
  {
    "subject": "MATH",
    "comparison": {
      "size": 27,
      "gpaPercentile": 77,
      "countPercentile": 8,
      "medianCount": 103,
      "histogram": [
        {
          "range": "0.0–0.4",
          "count": 0,
          "current": false
        },
        {
          "range": "0.4–0.8",
          "count": 0,
          "current": false
        },
        {
          "range": "0.8–1.2",
          "count": 0,
          "current": false
        },
        {
          "range": "1.2–1.6",
          "count": 0,
          "current": false
        },
        {
          "range": "1.6–2.0",
          "count": 0,
          "current": false
        },
        {
          "range": "2.0–2.4",
          "count": 1,
          "current": false
        },
        {
          "range": "2.4–2.8",
          "count": 9,
          "current": false
        },
        {
          "range": "2.8–3.2",
          "count": 14,
          "current": true
        },
        {
          "range": "3.2–3.6",
          "count": 3,
          "current": false
        },
        {
          "range": "3.6–4.0",
          "count": 0,
          "current": false
        }
      ]
    }
  }
]
```

#### 1132

##### term

1132

##### gpa

3.06

##### count

25

##### departments

| subject | comparison |
| ------- | ---------- |
| MATH    |            |

#### 1142

##### term

1142

##### gpa

2.9347826086956523

##### count

23

##### departments

| subject | comparison |
| ------- | ---------- |
| MATH    |            |

#### 1152

##### term

1152

##### gpa

2.925925925925926

##### count

27

##### departments

| subject | comparison |
| ------- | ---------- |
| MATH    |            |

#### 1162

##### term

1162

##### gpa

3.259259259259259

##### count

27

##### departments

| subject | comparison |
| ------- | ---------- |
| MATH    |            |

#### 1172

##### term

1172

##### gpa

3.2083333333333335

##### count

36

##### university

###### size

991

###### gpa Percentile

26

###### count Percentile

13

###### 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 | 0     | false   |
| 2.4–2.8 | 22    | false   |
| 2.8–3.2 | 226   | false   |
| 3.2–3.6 | 353   | true    |
| 3.6–4.0 | 390   | false   |

##### departments

```json
[
  {
    "subject": "MATH",
    "comparison": {
      "size": 36,
      "gpaPercentile": 71,
      "countPercentile": 9,
      "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": 4,
          "current": false
        },
        {
          "range": "2.8–3.2",
          "count": 21,
          "current": false
        },
        {
          "range": "3.2–3.6",
          "count": 8,
          "current": true
        },
        {
          "range": "3.6–4.0",
          "count": 3,
          "current": false
        }
      ]
    }
  }
]
```

#### 1182

##### term

1182

##### gpa

3.0652173913043477

##### count

23

##### departments

| subject | comparison |
| ------- | ---------- |
| MATH    |            |

#### 1192

##### term

1192

##### gpa

3.244186046511628

##### count

43

##### university

###### size

1077

###### gpa Percentile

24

###### count Percentile

25

###### median Count

67

###### histogram

| range   | count | current |
| ------- | ----- | ------- |
| 0.0–0.4 | 0     | false   |
| 0.4–0.8 | 0     | false   |
| 0.8–1.2 | 0     | false   |
| 1.2–1.6 | 0     | false   |
| 1.6–2.0 | 0     | false   |
| 2.0–2.4 | 1     | false   |
| 2.4–2.8 | 22    | false   |
| 2.8–3.2 | 203   | false   |
| 3.2–3.6 | 370   | true    |
| 3.6–4.0 | 481   | false   |

##### departments

```json
[
  {
    "subject": "MATH",
    "comparison": {
      "size": 39,
      "gpaPercentile": 76,
      "countPercentile": 8,
      "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": 4,
          "current": false
        },
        {
          "range": "2.8–3.2",
          "count": 24,
          "current": false
        },
        {
          "range": "3.2–3.6",
          "count": 8,
          "current": true
        },
        {
          "range": "3.6–4.0",
          "count": 3,
          "current": false
        }
      ]
    }
  }
]
```

#### 1204

##### term

1204

##### gpa

3.4375

##### count

16

##### departments

| subject | comparison |
| ------- | ---------- |
| MATH    |            |

#### 1224

##### term

1224

##### gpa

3.7222222222222223

##### count

9

##### departments

| subject | comparison |
| ------- | ---------- |
| MATH    |            |

#### 1234

##### term

1234

##### gpa

3.3333333333333335

##### count

15

##### departments

| subject | comparison |
| ------- | ---------- |
| MATH    |            |

#### 1244

##### term

1244

##### gpa

2.9285714285714284

##### count

7

##### departments

| subject | comparison |
| ------- | ---------- |
| MATH    |            |

#### 1254

##### term

1254

##### gpa

3.225

##### count

20

##### departments

| subject | comparison |
| ------- | ---------- |
| MATH    |            |

#### 1264

##### term

1264

##### gpa

3.21875

##### count

16

##### departments

| subject | comparison |
| ------- | ---------- |
| MATH    |            |

### benchmarks

#### all

##### school

###### size

4720

###### gpa

3.658300537842975

###### top Share

81.75901042756519

###### count

162

##### MATH

###### size

120

###### gpa

3.5216364858254825

###### top Share

73.48780416509133

###### count

161.5

#### terms

##### 1072

###### school

###### size

723

###### gpa

3.344595727439471

###### top Share

62.012941427864526

###### count

67

###### MATH

###### size

21

###### gpa

2.878188611674867

###### top Share

40.4748751710427

###### count

115

##### 1082

###### school

###### size

723

###### gpa

3.3583896732335172

###### top Share

62.932746798940194

###### count

68

###### MATH

###### size

20

###### gpa

2.8603540012311925

###### top Share

39.28661748894661

###### count

122

##### 1092

###### school

###### size

732

###### gpa

3.374660709520374

###### top Share

63.690339324346596

###### count

70

###### MATH

###### size

22

###### gpa

2.8820162698417926

###### top Share

39.71597770466243

###### count

131

##### 1102

###### school

###### size

774

###### gpa

3.36712622366007

###### top Share

63.703228532165696

###### count

67

###### MATH

###### size

27

###### gpa

2.936619140855453

###### top Share

42.28372460948232

###### count

76

##### 1112

###### school

###### size

805

###### gpa

3.3737773184830386

###### top Share

63.91039244872789

###### count

66

###### MATH

###### size

26

###### gpa

2.9941347625171355

###### top Share

43.79682105650899

###### count

87

##### 1122

###### school

###### size

804

###### gpa

3.3737149752667013

###### top Share

63.65118790117902

###### count

70

###### MATH

###### size

27

###### gpa

2.898067749128924

###### top Share

42.09489165698714

###### count

103

##### 1132

###### school

###### size

851

###### gpa

3.391128778809763

###### top Share

64.69509437122704

###### count

66

###### MATH

###### size

25

###### gpa

2.9605395515107897

###### top Share

42.794601137643824

###### count

108

##### 1142

###### school

###### size

853

###### gpa

3.3941849959684913

###### top Share

65.28450334228523

###### count

67

###### MATH

###### size

31

###### gpa

3.009040780059457

###### top Share

45.87481076818359

###### count

77

##### 1152

###### school

###### size

918

###### gpa

3.408733538594633

###### top Share

66.06693005846735

###### count

65

###### MATH

###### size

34

###### gpa

3.0803080141506425

###### top Share

49.72677618758506

###### count

82

##### 1162

###### school

###### size

954

###### gpa

3.43726781345039

###### top Share

68.05645304987395

###### count

64.5

###### MATH

###### size

36

###### gpa

3.1059509777204544

###### top Share

50.071044743474

###### count

74.5

##### 1172

###### school

###### size

991

###### gpa

3.465129042641772

###### top Share

69.42600667567366

###### count

67

###### MATH

###### size

36

###### gpa

3.098601909983034

###### top Share

48.67573746500224

###### count

66

##### 1182

###### school

###### size

1025

###### gpa

3.474159360325319

###### top Share

70.34861441764347

###### count

69

###### MATH

###### size

36

###### gpa

3.0839531022443034

###### top Share

48.116975859522796

###### count

80

##### 1192

###### school

###### size

1077

###### gpa

3.50327634323125

###### top Share

72.44641925727845

###### count

67

###### MATH

###### size

39

###### gpa

3.1003216533236415

###### top Share

50.01588968281552

###### count

99

##### 1204

###### school

###### size

1012

###### gpa

3.703747431523761

###### top Share

84.59811226304916

###### count

65.5

###### MATH

###### size

29

###### gpa

3.478717830475146

###### top Share

69.61236805388549

###### count

83

##### 1224

###### school

###### size

1171

###### gpa

3.5627882428500937

###### top Share

76.37271640560496

###### count

64

###### MATH

###### size

34

###### gpa

3.1555898753466907

###### top Share

53.444319815085976

###### count

87.5

##### 1234

###### school

###### size

1188

###### gpa

3.5799441677552393

###### top Share

77.18256448537606

###### count

65

###### MATH

###### size

41

###### gpa

3.178489266862151

###### top Share

56.06874885619616

###### count

67

##### 1244

###### school

###### size

1241

###### gpa

3.5975573126929192

###### top Share

78.29036874847135

###### count

65

###### MATH

###### size

43

###### gpa

3.228240949537157

###### top Share

55.86451059486035

###### count

68

##### 1254

###### school

###### size

1289

###### gpa

3.6126423469389106

###### top Share

79.48050408754871

###### count

66

###### MATH

###### size

39

###### gpa

3.180435541912479

###### top Share

53.878371816747475

###### count

89

##### 1264

###### school

###### size

1283

###### gpa

3.6229729166451925

###### top Share

80.13669149396227

###### count

66

###### MATH

###### size

42

###### gpa

3.13598176627681

###### top Share

52.25969905887213

###### count

80

## instructor Trends

```json
[
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    "uid": "instructor_71ef50f4a56c330c438c8692",
    "name": "DANIEL ERMAN",
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    "terms": [
      {
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        "sections": 1,
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      },
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    ]
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  {
    "uid": "instructor_efd230d48fca1e6778221a38",
    "name": "DMYTRO ARINKIN",
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    "terms": [
      {
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        "sections": 1,
        "gpa": 2.9347826086956523
      },
      {
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        "sections": 1,
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      },
      {
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        "sections": 1,
        "gpa": 3.259259259259259
      }
    ]
  },
  {
    "uid": "instructor_431b3d75e1c39d4df6977202",
    "name": "I ISAACS",
    "count": 64,
    "terms": [
      {
        "term": "1102",
        "count": 33,
        "sections": 1,
        "gpa": 3.212121212121212
      },
      {
        "term": "1122",
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        "sections": 1,
        "gpa": 3.096774193548387
      }
    ]
  },
  {
    "uid": "instructor_2ac2deeb0fbdfaa160482334",
    "name": "KEN ONO",
    "count": 57,
    "terms": [
      {
        "term": "1072",
        "count": 19,
        "sections": 1,
        "gpa": 3.0526315789473686
      },
      {
        "term": "1092",
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        "sections": 1,
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      }
    ]
  },
  {
    "uid": "instructor_59aac856cf6ad4bb42c17bff",
    "name": "ANDREI CALDARARU",
    "count": 55,
    "terms": [
      {
        "term": "1182",
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        "sections": 1,
        "gpa": 3.0652173913043477
      },
      {
        "term": "1204",
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      },
      {
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      }
    ]
  },
  {
    "uid": "instructor_329dbc3efcfc7e5a8a0086b3",
    "name": "JAMES SIZEMORE",
    "count": 25,
    "terms": [
      {
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        "sections": 1,
        "gpa": 3.06
      }
    ]
  },
  {
    "uid": "instructor_98e9331ef0690b66352c0c4a",
    "name": "YOUSHENG SHI",
    "count": 24,
    "terms": [
      {
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      {
        "term": "1234",
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    ]
  },
  {
    "uid": "instructor_91ba0ecbfb754ecba5e7dd8c",
    "name": "MIKHAIL IVANOV",
    "count": 20,
    "terms": [
      {
        "term": "1254",
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        "sections": 1,
        "gpa": 3.225
      }
    ]
  },
  {
    "uid": "instructor_627bd6efdd66a1083f8cbb97",
    "name": "JORDAN ELLENBERG",
    "count": 19,
    "terms": [
      {
        "term": "1112",
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        "sections": 1,
        "gpa": 3.1842105263157894
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    ]
  },
  {
    "uid": "instructor_2526da1b4d60f44a1bea00f0",
    "name": "YANNAN QIU",
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    "terms": [
      {
        "term": "1082",
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        "sections": 1,
        "gpa": 3.4285714285714284
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    ]
  },
  {
    "uid": "instructor_c938150143be039de89fe3d1",
    "name": "JOSHUA MUNDINGER",
    "count": 7,
    "terms": [
      {
        "term": "1244",
        "count": 7,
        "sections": 1,
        "gpa": 2.9285714285714284
      }
    ]
  }
]
```

## following

None recorded.
