Recent recorded grades — Spring 2023: 2.75 GPA, 25.0% A/AB (n=16 letter grades); Spring 2024: 3.64 GPA, 71.4% A/AB (n=7 letter grades); Fall 2025: 3.23 GPA, 55.0% A/AB (n=20 letter grades). Includes jointly taught sections.
The Genomic Revolution
Introduces genome structure, function, and evolution, outlining benefits of genomic technology for human health, agriculture, and conservation.
Summary
Recent recorded grades — Spring 2023: 2.75 GPA, 25.0% A/AB (n=16 letter grades); Spring 2024: 3.64 GPA, 71.4% A/AB (n=7 letter grades); Fall 2025: 3.23 GPA, 55.0% A/AB (n=20 letter grades).
What you’ll be able to do
Use scientific literature to learn about new developments in genomic research.
Examine methods for generating and analyzing genomic data.
Investigate basic and applied questions being addressed by genomic research.
Describe the organization, function, and evolution of genomes.
Appraise the impact of genomic science on health, agriculture, and conservation.
Source: UW Guide
Grade history
↗All recorded terms · compare terms & instructors
Prerequisites
Course mapGENETICS 466, 468, or BIOCORE 587
- take one
This is a best-effort interpretation; check the catalog requirements above.
Prerequisite text tree
Professors
Spring 2027Historical instructors & teaching patterns
NICOLE T PERNA is recorded teaching in Spring 2018, Spring 2019, Spring 2020, Spring 2023, Spring 2024, Fall 2025. 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 2027Schedule loads here as you scroll.
| Section | Mode | Enrolled / capacity | Waitlist |
|---|---|---|---|
| LEC 001 | Classroom Instruction | 0 / 30 | 0 |
Times are Central. Select a meeting for details; export includes recorded dates for the selected sections. Enrollment reflects scan time.
Meeting source records
Student experience
the class
Recent recorded grades — Spring 2023: 2.75 GPA, 25.0% A/AB (n=16 letter grades); Spring 2024: 3.64 GPA, 71.4% A/AB (n=7 letter grades); Fall 2025: 3.23 GPA, 55.0% A/AB (n=20 letter grades).
difficulty & workload
No workload feedback recorded.
Topics
- Structure, function, and evolution of genomes
- Benefits of genomic technology for human health, agriculture, and conservation
- Methods for generating and analyzing genomic data
Skills
- Describing genome organization, function, and evolution
- Examining methods for generating and analyzing genomic data
- Appraising the impact of genomic science on health, agriculture, and conservation
- Using scientific literature to learn about new developments in genomic research
Grades
Latest available · Fall 2025— not enough history to project Spring 2027.
Grade distribution · % of letter grades
Grades over time
Through Fall 2025
More grade details Grade mix, volume & source data
Not enough comparable courses for Spring 2027 in UW–Madison.
Sources & history
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.
Selected offering source records
The Genomic Revolution
Recorded 2026-10-14Raw records
[
{
"run_id": "20261014T203208-0851c9a1",
"semester": "1274",
"observed_at": "2026-10-14 17:50:09.728220+00:00",
"offering_id": "1274:412:024877",
"course_id": "GENETICS 548",
"course_uid": "course_07877f7d61d7980bedfc23fd",
"term_id": "1274",
"source_course_id": "024877",
"source_subject_id": "412",
"title": "The Genomic Revolution",
"credits_min": 3,
"credits_max": 3,
"typically_offered": "Spring"
}
]Student reviews
Original comments behind the course and instructor summaries.
Read original reviews
No records available.
Grade history
Recorded grade distributions by term, section, and instructor.
Explore recorded gradesRecorded 2026-10-14
Model outputs & technical records
LLM outputs across runs
Full model traces
Recorded model configuration, reasoning, and tool conversations.
Model & dataset provenance
{
"model": "Qwen/Qwen3.8-27B",
"model_revision": "1d4bf0f2ff6012fd82039f2fa52739d0dd7c60c0",
"task_version": "17",
"output_id": "3718973ae36418fbcfc9717bc8c7929c7445a9a59e253060c95d002117b05f97",
"requirements_status": "valid",
"dataset_revision": "fc1811fa52e581ea57a35c0cf3343f8740a8ffbf",
"observed_at": "2026-10-14 17:50:09.728220+00:00"
}