# ANSCI/GENETICS/POPHLTH 849: Genomic Epidemiology | UW–Madison

[View on UW Courses](https://uwcourses.com/courses/ANSCI_GENETICS_POPHLTH_849)

## 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

* 1272
* 1264
* 1262
* 1254
* 1252
* 1244
* 1242
* 1234
* 1232
* 1224
* 1222
* 1212
* 1204
* 1202
* 1194
* 1192
* 1184
* 1182
* 1174
* 1172
* 1164
* 1162
* 1154
* 1152
* 1144
* 1142
* 1134
* 1132
* 1124
* 1122
* 1114
* 1112
* 1104
* 1102
* 1094
* 1092
* 1084
* 1082
* 1074
* 1072

### 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

8282111edc589bf4f971e3d5de386ea934b3c6b1be356fc7572ad73b35f5fea2

### course id

ANSCI/GENETICS/POPHLTH 849

### course uid

course\_fb242155185d63615f5018ea

### catalog version id

102dd862b74d4f207a17d30dffa260a119ea671dc15330af2e4df35a2ae742b0

### course number

849

### subjects

* ANSCI
* GENETICS
* POPHLTH

### title

GENOMIC EPIDEMIOLOGY

### description

An introduction to genomic epidemiology, including a general overview of genetics and Mendelian and complex inheritance, as well as various elements of study design, such as participant ascertainment; phenotype definition; biologic sample selection; genotyping, sequencing, and quality control; measurement of covariates; and choice of analytic methods. Briefly covers original study designs; focuses on current study designs.

### requirements text

Graduate/professional standing

### credit offering ids

None recorded.

### llm job id

enrich-8b774950c2b6adfdc46d1b82

### llm output id

21282c91a61fca91c8706dbcc02867ac98bca0a95836e9277916f2f3d33f9b8a

### llm model

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

### llm model revision

1355db6a052410cfd62085d94b58866fd0f2c3c5

### llm task version

14

### llm search status

valid

### llm summary

Genomic Epidemiology introduces genetics, inheritance, and study design elements like sample selection and analytic methods.

### llm topics

* Mendelian and complex inheritance
* Study design: participant ascertainment, phenotype definition, and sample selection
* Genotyping, sequencing, and quality control
* Covariate measurement and analytic methods

### llm skills

* Choice of analytic methods
* Genotyping, sequencing, and quality control
* Study design elements including participant ascertainment and phenotype definition

### llm assumed background

* Graduate or professional student standing

### llm search phrases

* genomic epidemiology
* genetics Mendelian inheritance
* study design participant ascertainment
* genotyping sequencing quality control
* phenotype definition covariates

### llm requirements status

valid

### llm student summary status

valid

### llm experience status

insufficient\_evidence

### catalog variants

None recorded.

### student summary

#### context hash

2d639658f12d2fed2b139477dcfa0d8110131bbee860332a3062859f43177564

#### course id

ANSCI/GENETICS/POPHLTH 849

#### 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

672f506f2fc2f46a071b9777f4a92cc197b2ccdeef25590e9285146d8c7e7f90

#### quick take

Recent recorded grades — Fall 2022: 3.79 GPA, 85.7% A/AB (n=7 letter grades); Spring 2024: 3.93 GPA, 100.0% A/AB (n=7 letter grades); Spring 2026: 3.81 GPA, 87.5% A/AB (n=8 letter grades).

```json
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```

#### student experience

None recorded.

#### task hash

74fb0997943e888960bbc9e47db8c4fd12e4292d55c20509d8d89db6a9910f68

#### teaching history

None recorded.

#### term id

1272

#### term name

2026 Fall

#### version

2

### requirements

#### nodes

```json
[
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    "children": [],
    "condition": "Graduate/professional standing",
    "course": null,
    "evidence": "Graduate/professional standing",
    "id": "n0",
    "kind": "condition"
  }
]
```

#### notes

None recorded.

#### root

n0

#### status

parsed

### instructors

None recorded.

### offerings

None recorded.

### sections

None recorded.

### grade instructors

```json
[
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    "source": "madgrades",
    "source_instructor_id": "961909",
    "identity_basis": "source_id",
    "identity_status": "source_identified",
    "name": "CORINNE ENGELMAN",
    "email": null,
    "first_observed_at": "2026-09-06 23:14:58.172943+00:00",
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  }
]
```

### grades

```json
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    "course_uid": "course_fb242155185d63615f5018ea",
    "term_id": "1182",
    "term_name": "Fall 2017",
    "instructors": [
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    "a": 10,
    "ab": 0,
    "b": 1,
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    "course_uid": "course_fb242155185d63615f5018ea",
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    "term_name": "Spring 2024",
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    "observed_at": "2026-09-07 15:55:43.033547+00:00",
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    "course_uid": "course_fb242155185d63615f5018ea",
    "term_id": "1264",
    "term_name": "Spring 2026",
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]
```

### statistics

#### gpa

3.894

#### graded

47

#### counts

* 40
* 4
* 3
* 0
* 0
* 0
* 0

### grade conflicts

None recorded.

### evidence

#### history

* [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course\_fb242155185d63615f5018ea-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course_fb242155185d63615f5018ea-0.json)

#### traces

* [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course\_fb242155185d63615f5018ea-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course_fb242155185d63615f5018ea-0.json)

#### results

* [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course\_fb242155185d63615f5018ea-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course_fb242155185d63615f5018ea-0.json)

### revision

e243353dcb7d79b7247ced91d69443ef4c2a6349

## context

### all

#### term



#### gpa

3.893617021276596

#### count

47

#### university

##### size

3559

##### gpa Percentile

74

##### count Percentile

21

##### median Count

96

##### 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 | 8     | false   |
| 2.8–3.2 | 275   | false   |
| 3.2–3.6 | 966   | false   |
| 3.6–4.0 | 2310  | true    |

#### departments

```json
[
  {
    "subject": "ANSCI",
    "comparison": {
      "size": 27,
      "gpaPercentile": 92,
      "countPercentile": 31,
      "medianCount": 68,
      "histogram": [
        {
          "range": "0.0–0.4",
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          "current": false
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        {
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          "current": false
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          "current": false
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          "current": false
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          "current": false
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          "range": "2.4–2.8",
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          "current": false
        },
        {
          "range": "3.6–4.0",
          "count": 12,
          "current": true
        }
      ]
    }
  },
  {
    "subject": "GENETICS",
    "comparison": {
      "size": 29,
      "gpaPercentile": 82,
      "countPercentile": 21,
      "medianCount": 89,
      "histogram": [
        {
          "range": "0.0–0.4",
          "count": 0,
          "current": false
        },
        {
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          "current": false
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        {
          "range": "0.8–1.2",
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        {
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        },
        {
          "range": "2.8–3.2",
          "count": 2,
          "current": false
        },
        {
          "range": "3.2–3.6",
          "count": 9,
          "current": false
        },
        {
          "range": "3.6–4.0",
          "count": 18,
          "current": true
        }
      ]
    }
  },
  {
    "subject": "POPHLTH",
    "comparison": {
      "size": 23,
      "gpaPercentile": 73,
      "countPercentile": 23,
      "medianCount": 63,
      "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": 0,
          "current": false
        },
        {
          "range": "3.2–3.6",
          "count": 4,
          "current": false
        },
        {
          "range": "3.6–4.0",
          "count": 19,
          "current": true
        }
      ]
    }
  }
]
```

### terms

#### 1182

##### term

1182

##### gpa

3.909090909090909

##### count

11

##### departments

| subject  | comparison |
| -------- | ---------- |
| ANSCI    |            |
| GENETICS |            |
| POPHLTH  |            |

#### 1202

##### term

1202

##### gpa

4

##### count

6

##### departments

| subject  | comparison |
| -------- | ---------- |
| ANSCI    |            |
| GENETICS |            |
| POPHLTH  |            |

#### 1212

##### term

1212

##### gpa

3.9375

##### count

8

##### departments

| subject  | comparison |
| -------- | ---------- |
| ANSCI    |            |
| GENETICS |            |
| POPHLTH  |            |

#### 1232

##### term

1232

##### gpa

3.7857142857142856

##### count

7

##### departments

| subject  | comparison |
| -------- | ---------- |
| ANSCI    |            |
| GENETICS |            |
| POPHLTH  |            |

#### 1244

##### term

1244

##### gpa

3.9285714285714284

##### count

7

##### departments

| subject  | comparison |
| -------- | ---------- |
| ANSCI    |            |
| GENETICS |            |
| POPHLTH  |            |

#### 1264

##### term

1264

##### gpa

3.8125

##### count

8

##### departments

| subject  | comparison |
| -------- | ---------- |
| ANSCI    |            |
| GENETICS |            |
| POPHLTH  |            |

### benchmarks

#### all

##### school

###### size

3559

###### gpa

3.665405407290063

###### top Share

82.2808782865703

###### count

96

##### ANSCI

###### size

27

###### gpa

3.494575796784923

###### top Share

69.18807666835998

###### count

68

##### GENETICS

###### size

29

###### gpa

3.6617767821549245

###### top Share

81.18861133114663

###### count

89

##### POPHLTH

###### size

23

###### gpa

3.778149815178302

###### top Share

88.00062017111286

###### count

63

#### terms

##### 1182

###### school

###### size

1025

###### gpa

3.474159360325319

###### top Share

70.34861441764347

###### count

69

##### 1202

###### school

###### size

1102

###### gpa

3.5102605987403313

###### top Share

72.78244569053733

###### count

68

###### GENETICS

###### size

10

###### gpa

3.451827575944905

###### top Share

68.57560463766207

###### count

55

##### 1212

###### school

###### size

1111

###### gpa

3.5856416028074487

###### top Share

77.58926748660845

###### count

68

###### GENETICS

###### size

10

###### gpa

3.5728472785775116

###### top Share

76.39656652328354

###### count

64.5

##### 1232

###### school

###### size

1216

###### gpa

3.575457431972425

###### top Share

77.33712216234007

###### count

66

##### 1244

###### school

###### size

1241

###### gpa

3.5975573126929192

###### top Share

78.29036874847135

###### count

65

##### 1264

###### school

###### size

1283

###### gpa

3.6229729166451925

###### top Share

80.13669149396227

###### count

66

###### ANSCI

###### size

11

###### gpa

3.4872599039104415

###### top Share

69.71753566211373

###### count

68

## instructor Trends

```json
[
  {
    "uid": "instructor_68045b3e68890ee68492af3b",
    "name": "CORINNE ENGELMAN",
    "count": 47,
    "terms": [
      {
        "term": "1182",
        "count": 11,
        "sections": 1,
        "gpa": 3.909090909090909
      },
      {
        "term": "1202",
        "count": 6,
        "sections": 1,
        "gpa": 4
      },
      {
        "term": "1212",
        "count": 8,
        "sections": 1,
        "gpa": 3.9375
      },
      {
        "term": "1232",
        "count": 7,
        "sections": 1,
        "gpa": 3.7857142857142856
      },
      {
        "term": "1244",
        "count": 7,
        "sections": 1,
        "gpa": 3.9285714285714284
      },
      {
        "term": "1264",
        "count": 8,
        "sections": 1,
        "gpa": 3.8125
      }
    ]
  }
]
```

## following

None recorded.
