# GENETICS 525: Epigenetics | UW–Madison

[View on UW Courses](https://uwcourses.com/courses/GENETICS_525)

## 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    |
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| AFAERO    | 10    |
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| C\&ESOC   | 73    |
| CBE       | 48    |
| CHEM      | 101   |
| CHICLA    | 52    |
| CIVENGR   | 133   |
| CLASSICS  | 47    |
| CNP       | 10    |
| CNSRSCI   | 50    |
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| DYSCI     | 35    |
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| ECON      | 145   |
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| EMERMED   | 17    |
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| ESL       | 16    |
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| FAMMED    | 22    |
| FINANCE   | 50    |
| FOLKLORE  | 40    |
| FOODSCI   | 43    |
| FRENCH    | 63    |
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| GEOSCI    | 83    |
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| GLE       | 48    |
| GNS       | 38    |
| GREEK     | 27    |
| HDFS      | 41    |
| HEBR-BIB  | 13    |
| HEBR-MOD  | 10    |
| HISTORY   | 233   |
| HISTSCI   | 56    |
| HONCOL    | 13    |
| ILS       | 43    |
| INFOSYS   | 9     |
| INTEGART  | 7     |
| INTEGSCI  | 22    |
| INTER-AG  | 18    |
| INTER-HE  | 11    |
| INTER-LS  | 22    |
| INTEREGR  | 16    |
| INTLBUS   | 21    |
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| ITALIAN   | 53    |
| JEWISH    | 56    |
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| KINES     | 128   |
| LACIS     | 26    |
| LANDARC   | 61    |
| LATIN     | 24    |
| LAW       | 120   |
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| 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

2c35751e5bd9bc2de39371a8ec014632a320514e4ebb71e4b89256ea141de4a8

### course id

GENETICS 525

### course uid

course\_2b66825c67c8f9d2cd4892c8

### catalog version id

dd22a2ff63b98f08c710bad9dc431c0e7e3de0b831224d409c7dc696b947d4c4

### course number

525

### subjects

* GENETICS

### title

EPIGENETICS

### description

Introductory course in epigenetics - the layer of chemical information that sits on top of the genome - that switch genes 'on' or 'off'. Will introduce how the epigenome, in collaboration with the genome, controls versatile biological processes and cell fates. Will also cover the latest advances of how humans can control their own epigenetic destiny by lifestyle, diet, and other environmental factors.

### requirements text

GENETICS 466or467

### credits min

3

### credits max

3

### credit offering ids

* 1272:412:024978

### llm job id

enrich-8b774950c2b6adfdc46d1b82

### llm output id

6713cca68fd6961c3766ff792a211757342b321d86147b407ad81b76d5da23cd

### llm model

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

### llm model revision

1355db6a052410cfd62085d94b58866fd0f2c3c5

### llm task version

14

### llm search status

valid

### llm summary

An introductory course on epigenetics, covering how chemical information on the genome regulates gene expression and influences biological processes and human health.

### llm topics

* Epigenome and genome collaboration in controlling biological processes and cell fates.
* Impact of lifestyle, diet, and environmental factors on epigenetic destiny.

### llm skills

* Understanding how the epigenome controls biological processes and cell fates.
* Analyzing the impact of lifestyle, diet, and environment on epigenetic outcomes.

### llm assumed background

* Foundational genetics principles including transmission, molecular genetics, and gene expression.

### llm search phrases

* epigenetics course
* epigenetic mechanisms
* gene regulation epigenetics
* epigenome lifestyle factors

### llm requirements status

valid

### llm student summary status

valid

### llm experience status

insufficient\_evidence

### catalog variants

None recorded.

### student summary

#### context hash

48d267b91a2a2656cd0e61e1e6c388e3aedbeb1ddf2ee2e3a21d68775cb9d385

#### course id

GENETICS 525

#### current instructors

```json
[
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    "message": "No course-specific reviews available",
    "name": "Akihiro Ikeda",
    "review_status": "no_course_reviews",
    "rmp_instructor_id": "rmp:2431606",
    "summary": [
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              "source": "madgrades"
            },
            "table": "section_grades_latest",
            "term_id": "1262",
            "type": "grade"
          }
        ],
        "text": "Recent recorded grades — Fall 2025: 3.93 GPA, 97.1% A/AB (n=35 letter grades). Includes jointly taught sections."
      }
    ]
  },
  {
    "instructor_uid": "instructor_f917d0c95f4702ff9853c318",
    "message": "No course-specific reviews available",
    "name": "Justin Wolter",
    "review_status": "no_course_reviews",
    "rmp_instructor_id": null,
    "summary": [
      {
        "citations": [
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            "table": "section_grades_latest",
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        "text": "Recent recorded grades — Fall 2025: 3.93 GPA, 97.1% A/AB (n=35 letter grades). Includes jointly taught sections."
      }
    ]
  }
]
```

#### difficulty workload

None recorded.

#### errors

None recorded.

#### historical context

None recorded.

#### message

No course-specific reviews available

#### offered

true

#### profile hash

5cb4dabf887cdbcd8c00d5a1312e10828b95c63f30bc3ea76aea199565390d02

#### quick take

Recent recorded grades — Spring 2020: 3.66 GPA, 72.7% A/AB (n=22 letter grades); Fall 2021: 3.54 GPA, 76.0% A/AB (n=25 letter grades); Fall 2025: 3.93 GPA, 97.1% A/AB (n=35 letter grades).

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```

#### student experience

None recorded.

#### task hash

74fb0997943e888960bbc9e47db8c4fd12e4292d55c20509d8d89db6a9910f68

#### teaching history

AKIHIRO IKEDA is recorded teaching in Fall 2025. Recorded history may be incomplete and does not establish a future schedule.

```json
{
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      "table": "section_grades_latest",
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      "type": "grade"
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}
```

JUSTIN WOLTER is recorded teaching in Fall 2025. Recorded history may be incomplete and does not establish a future schedule.

```json
{
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    {
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      "run_id": "20260907T155543-ce3781c4",
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}
```

#### term id

1272

#### term name

2026 Fall

#### version

2

### requirements

#### nodes

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```

#### notes

None recorded.

#### root

n0

#### status

parsed

### instructors

```json
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    "last_observed_at": "2026-09-07 15:55:43.033547+00:00",
    "instructor_url": "/instructors/JUSTIN_WOLTER"
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```

### offerings

```json
[
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    "source_course_id": "024978",
    "source_subject_id": "412",
    "title": "Epigenetics",
    "credits_min": 3,
    "credits_max": 3,
    "typically_offered": "Every Other Spring"
  }
]
```

### sections

```json
[
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    "observed_at": "2026-09-07 15:55:43.033547+00:00",
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    "capacity": 62,
    "enrolled": 60,
    "waitlisted": 0,
    "start_date": "2026-09-02 05:00:00+00:00",
    "end_date": "2026-12-09 06:00:00+00:00"
  }
]
```

### grade instructors

```json
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      "graded": 196,
      "counts": [
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      "profile_id": "rmp:2431606",
      "source_url": "https://www.ratemyprofessors.com/professor/2431606",
      "match_basis": "exact_name",
      "observed_at": "2026-09-07 16:57:20.463201+00:00",
      "courses": {},
      "bayesian_quality": 3.7235102700443767,
      "prior_mean": 3.6596857835465957,
      "prior_weight": 20
    },
    "instructor_url": "/instructors/AKIHIRO_IKEDA"
  },
  {
    "instructor_uid": "instructor_f917d0c95f4702ff9853c318",
    "source": "enrollment",
    "source_instructor_id": "wolter4",
    "identity_basis": "netid",
    "identity_status": "source_identified",
    "name": "Justin Wolter",
    "email": "WOLTER4@WISC.EDU",
    "first_observed_at": "2026-09-07 15:55:43.033547+00:00",
    "last_observed_at": "2026-09-07 15:55:43.033547+00:00",
    "instructor_url": "/instructors/JUSTIN_WOLTER"
  }
]
```

### grades

```json
[
  {
    "run_id": "20260907T155543-ce3781c4",
    "semester": "1272",
    "observed_at": "2026-09-07 15:55:43.033547+00:00",
    "course_id": "GENETICS 525",
    "course_uid": "course_2b66825c67c8f9d2cd4892c8",
    "term_id": "1204",
    "term_name": "Spring 2020",
    "instructors": [
      "XUEHUA ZHONG"
    ],
    "a": 14,
    "ab": 2,
    "b": 5,
    "bc": 1,
    "c": 0,
    "d": 0,
    "f": 0,
    "satisfactory": 0,
    "unsatisfactory": 0,
    "credit": 0,
    "no_credit": 0,
    "passed": 0,
    "incomplete": 0,
    "no_work": 0,
    "not_reported": 2,
    "other": 0,
    "total": 24,
    "source_aliases": [
      "GENETICS 525"
    ]
  },
  {
    "run_id": "20260907T155543-ce3781c4",
    "semester": "1272",
    "observed_at": "2026-09-07 15:55:43.033547+00:00",
    "course_id": "GENETICS 525",
    "course_uid": "course_2b66825c67c8f9d2cd4892c8",
    "term_id": "1222",
    "term_name": "Fall 2021",
    "instructors": [
      "XUEHUA ZHONG"
    ],
    "a": 11,
    "ab": 8,
    "b": 4,
    "bc": 1,
    "c": 1,
    "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": 25,
    "source_aliases": [
      "GENETICS 525"
    ]
  },
  {
    "run_id": "20260907T155543-ce3781c4",
    "semester": "1272",
    "observed_at": "2026-09-07 15:55:43.033547+00:00",
    "course_id": "GENETICS 525",
    "course_uid": "course_2b66825c67c8f9d2cd4892c8",
    "term_id": "1262",
    "term_name": "Fall 2025",
    "instructors": [
      "Akihiro Ikeda",
      "Justin Wolter"
    ],
    "a": 31,
    "ab": 3,
    "b": 1,
    "bc": 0,
    "c": 0,
    "d": 0,
    "f": 0,
    "satisfactory": 0,
    "unsatisfactory": 0,
    "credit": 0,
    "no_credit": 0,
    "passed": 0,
    "incomplete": 0,
    "no_work": 1,
    "not_reported": 0,
    "other": 0,
    "total": 36,
    "source_aliases": [
      "GENETICS 525"
    ]
  }
]
```

### statistics

#### gpa

3.738

#### graded

82

#### counts

* 56
* 13
* 10
* 2
* 1
* 0
* 0

### grade conflicts

None recorded.

### evidence

#### history

* [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course\_2b66825c67c8f9d2cd4892c8-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course_2b66825c67c8f9d2cd4892c8-0.json)

#### traces

* [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course\_2b66825c67c8f9d2cd4892c8-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course_2b66825c67c8f9d2cd4892c8-0.json)

#### meetings

* [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/meetings/course\_2b66825c67c8f9d2cd4892c8-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/meetings/course_2b66825c67c8f9d2cd4892c8-0.json)

#### results

* [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course\_2b66825c67c8f9d2cd4892c8-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course_2b66825c67c8f9d2cd4892c8-0.json)

### revision

e243353dcb7d79b7247ced91d69443ef4c2a6349

## context

### all

#### term



#### gpa

3.7378048780487805

#### count

82

#### university

##### size

2489

##### gpa Percentile

51

##### count Percentile

52

##### median Count

78

##### histogram

| range   | count | current |
| ------- | ----- | ------- |
| 0.0–0.4 | 0     | false   |
| 0.4–0.8 | 0     | false   |
| 0.8–1.2 | 0     | false   |
| 1.2–1.6 | 0     | false   |
| 1.6–2.0 | 0     | false   |
| 2.0–2.4 | 1     | false   |
| 2.4–2.8 | 7     | false   |
| 2.8–3.2 | 144   | false   |
| 3.2–3.6 | 675   | false   |
| 3.6–4.0 | 1662  | true    |

#### departments

```json
[
  {
    "subject": "GENETICS",
    "comparison": {
      "size": 23,
      "gpaPercentile": 50,
      "countPercentile": 59,
      "medianCount": 75,
      "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": 3,
          "current": false
        },
        {
          "range": "3.2–3.6",
          "count": 4,
          "current": false
        },
        {
          "range": "3.6–4.0",
          "count": 16,
          "current": true
        }
      ]
    }
  }
]
```

### terms

#### 1204

##### term

1204

##### gpa

3.659090909090909

##### count

22

##### departments

| subject  | comparison |
| -------- | ---------- |
| GENETICS |            |

#### 1222

##### term

1222

##### gpa

3.54

##### count

25

##### departments

| subject  | comparison |
| -------- | ---------- |
| GENETICS |            |

#### 1262

##### term

1262

##### gpa

3.9285714285714284

##### count

35

##### university

###### size

1320

###### gpa Percentile

84

###### count Percentile

11

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

##### departments

```json
[
  {
    "subject": "GENETICS",
    "comparison": {
      "size": 13,
      "gpaPercentile": 83,
      "countPercentile": 33,
      "medianCount": 53,
      "histogram": [
        {
          "range": "0.0–0.4",
          "count": 0,
          "current": false
        },
        {
          "range": "0.4–0.8",
          "count": 0,
          "current": false
        },
        {
          "range": "0.8–1.2",
          "count": 0,
          "current": false
        },
        {
          "range": "1.2–1.6",
          "count": 0,
          "current": false
        },
        {
          "range": "1.6–2.0",
          "count": 0,
          "current": false
        },
        {
          "range": "2.0–2.4",
          "count": 0,
          "current": false
        },
        {
          "range": "2.4–2.8",
          "count": 0,
          "current": false
        },
        {
          "range": "2.8–3.2",
          "count": 1,
          "current": false
        },
        {
          "range": "3.2–3.6",
          "count": 3,
          "current": false
        },
        {
          "range": "3.6–4.0",
          "count": 9,
          "current": true
        }
      ]
    }
  }
]
```

### benchmarks

#### all

##### school

###### size

2489

###### gpa

3.679290755707481

###### top Share

83.26086735411216

###### count

78

##### GENETICS

###### size

23

###### gpa

3.6573606113067507

###### top Share

80.49184488868295

###### count

75

#### terms

##### 1204

###### school

###### size

1012

###### gpa

3.703747431523761

###### top Share

84.59811226304916

###### count

65.5

##### 1222

###### school

###### size

1157

###### gpa

3.563052311875811

###### top Share

76.64869058732418

###### count

64

###### GENETICS

###### size

12

###### gpa

3.5487219422313245

###### top Share

75.54325666174324

###### count

43.5

##### 1262

###### school

###### size

1320

###### gpa

3.628825763035853

###### top Share

80.21118846327654

###### count

70

###### GENETICS

###### size

13

###### gpa

3.698788127912363

###### top Share

83.51083061370407

###### count

53

## instructor Trends

```json
[
  {
    "uid": "instructor_0e6b1a85e16fd50f9dd1445d",
    "name": "XUEHUA ZHONG",
    "count": 47,
    "terms": [
      {
        "term": "1204",
        "count": 22,
        "sections": 1,
        "gpa": 3.659090909090909
      },
      {
        "term": "1222",
        "count": 25,
        "sections": 1,
        "gpa": 3.54
      }
    ]
  },
  {
    "uid": "instructor_2632e79b00fdb1e34ac9003a",
    "name": "JUSTIN WOLTER",
    "count": 35,
    "terms": [
      {
        "term": "1262",
        "count": 35,
        "sections": 1,
        "gpa": 3.9285714285714284
      }
    ]
  },
  {
    "uid": "instructor_7554efc780320d1253a3614c",
    "name": "AKIHIRO IKEDA",
    "count": 35,
    "terms": [
      {
        "term": "1262",
        "count": 35,
        "sections": 1,
        "gpa": 3.9285714285714284
      }
    ]
  }
]
```

## following

None recorded.
