Spring 2027

Human Genetics

Human Genetics covers principles and methods of modern human genetics, focusing on discovering disease genetics and improving clinical practice through genomic analysis and ethical discussions.

no offering record for this termCredits unavailable
Recorded instructors · Spring 2027 No instructors listed

Summary

1 / 7

Past student reviews · Donna Werling

The material was described as difficult. The student reported that lectures were posted online after the fact.

What you’ll be able to do

  • Predict and describe how different classes of genetic variants, as defined by (a) mutation mechanism, (b) variant size, (c) population frequency, and (d) location in the genome, could affect molecular and cellular functions and risk for disease

  • Design experimental approaches to investigate the mechanisms of human genetic disorders

  • Explain and give examples of genetic inheritance patterns and the contribution of inherited factors to disease risk

  • Describe the design, strengths, and weaknesses of the various approaches for identifying genes or loci associated with a human disease or trait (e.g. linkage mapping, genetic association, sequencing), and interpret results from these studies

  • Explain how genetic information is used in the practice of medicine for diagnosis or to guide treatment and the limitations of current clinical diagnostic or treatment tools

  • Apply human genetics concepts to critically analyze published scientific studies and to describe experimental approaches that can be performed to address shortcomings and/or extend the findings of published work

Source: UW Guide 1 UW Guide 2

Grade history

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average GPA
letter grades
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All recorded terms · compare terms & instructors

Prerequisites

Course map

GENETICS 466, 468,BIOCORE 587, or graduate/professional standing

GENETICS/MDGENET 565

This is a best-effort interpretation; check the catalog requirements above.

Prerequisite text tree

Professors

Spring 2027

No instructors recorded for this selection.

Historical instructors & teaching patterns

DONNA WERLING is recorded teaching in Fall 2020, Fall 2021, Fall 2022, Fall 2023, Fall 2024, Fall 2025. Recorded history may be incomplete and does not establish a future schedule.

JERRY YIN is recorded teaching in Fall 2010, Fall 2011, Fall 2012, Fall 2013, Fall 2014, Fall 2015, Fall 2016, Fall 2017, Fall 2018, Fall 2019. Recorded history may be incomplete and does not establish a future schedule.

Recorded history may be incomplete and does not establish a future schedule.

Calendar & sections

Spring 2027

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SectionModeEnrolled / capacityWaitlist

Times are Central. Select a meeting for details; export includes recorded dates for the selected sections.

Meeting source records
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Student experience

the class

Past student reviews · Donna Werling

A student found the human genetics material difficult but interesting, noting it was a good choice among genetics depth classes.

Recent recorded grades — Fall 2023: 3.32 GPA, 59.6% A/AB (n=52 letter grades); Fall 2024: 3.19 GPA, 46.4% A/AB (n=56 letter grades); Fall 2025: 3.36 GPA, 68.8% A/AB (n=32 letter grades).

difficulty & workload

Past student reviews · Donna Werling

The material was described as difficult. The student reported that lectures were posted online after the fact.

Past student reviews · Donna Werling

The student loved the course with Drs. Werling and Schrodi, finding the content engaging despite the challenge.

Topics

  • Molecular function of the human genome and basic principles including statistical and quantitative genetics
  • Genetics of rare disorders and common diseases, including GWAS and sequencing
  • Medical applications of genetics and ethical considerations of human genomic data

Skills

  • Predict effects of genetic variants on function and disease risk
  • Interpret results from gene identification studies
  • Apply genetic information to medical diagnosis and treatment

Grades

Latest available · Fall 2025— not enough history to project Spring 2027.

average GPA
A / AB grades
letter grades
Instructor

Grade distribution · % of letter grades

A
AB
B
BC
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D
F

Grades over time

Through Fall 2025

More grade details Grade mix, volume & source data

Where this course fits relative to

Latest available grades · Fall 2025 · all course levels

GPA

Higher than % of other courses in this group.

Course GPAs · red marks this course’s range

letter grades

More recorded grades than % of other courses in this group.

Typical course in this group: letter grades.

About this comparison

1316 courses over the same term, each with at least 30 recorded letter grades. Cross-listed courses count once. GPA is not a measure of difficulty or teaching quality. The typical course is the median by recorded grade count; tied values are not counted as lower. Grade counts describe course scale, not unique students or typical section size.

Descriptions compare GPA with this group’s average: at least 0.20 higher or lower; otherwise close to average. Section size uses median recorded enrollment: small up to 30, mid-sized 31–99, large 100+. Lectures and discussion/lab sections are described separately.

Sources & history

UW–Madison

Catalog & offerings

Descriptions, prerequisites, and recorded course offerings.

Catalog observation history

Observations at scan time; dates do not imply when a catalog change took effect.

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Selected offering source records

No offering records for the selected term.

Raw records 
[]
Rate My Professors

Student reviews

Original comments behind the course and instructor summaries.

Read original reviews
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Madgrades

Grade history

Recorded grade distributions by term, section, and instructor.

Explore recorded grades
Dataset & model

Recorded 2026-10-14

View the dataset on Hugging Face
Model outputs & technical records
Qwen/Qwen3.8-27B
LLM outputs across runs
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Full model traces

Recorded model configuration, reasoning, and tool conversations.

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Model & dataset provenance 
{
  "model": "Qwen/Qwen3.8-27B",
  "model_revision": "1d4bf0f2ff6012fd82039f2fa52739d0dd7c60c0",
  "task_version": "17",
  "output_id": "7d829457e7db6292d9490e12b6b85249618c95250ca9d4832c99a41d4c17ef37",
  "requirements_status": "valid",
  "dataset_revision": "fc1811fa52e581ea57a35c0cf3343f8740a8ffbf",
  "observed_at": "2026-10-14 17:50:09.728220+00:00"
}