Recent recorded grades — Spring 2026: 3.71 GPA, 100.0% A/AB (n=7 letter grades). Includes jointly taught sections.
Functional Genomics of Brain Disorders
Explores functional genomics methods like RNA-seq and ChIP-seq applied to brain development, evolution, and neuropsychiatric disorders, emphasizing bioinformatics and research proposal development.
Summary
Recent recorded grades — Spring 2026: 3.71 GPA, 100.0% A/AB (n=7 letter grades).
What you’ll be able to do
Recognize potential strengths, limitations, and assumptions of published scientific studies.
Describe the genomics tools used to study brain development and disorders, including how these tools are run and how to interpret the results they generate.
Summarize current studies in genomics, brain development, evolution, and neurodevelopmental and neuropsychiatric disorders from primary scientific literature.
Design a research project that utilizes functional genomics approaches to interrogate fundamental questions of brain disorders, development, evolution, and function.
Evaluate the strengths, limitations, and assumptions of published and proposed research studies, including methods, results, conclusions, and context of the field.
Critique study design and interpretation and communicate critiques in a constructive manner.
Source: UW Guide 1· UW Guide 2
Grade history
↗All recorded terms · compare terms & instructors
Prerequisites
Course mapGENETICS 466, 468,BIOCORE 383,PSYCH/ZOOLOGY 523, or graduate/professional standing
- GENETICS 466
- GENETICS 468
- BIOCORE 383
- PSYCH/ZOOLOGY 523
- graduate/professional standing
This is a best-effort interpretation; check the catalog requirements above.
Prerequisite text tree
- Any of
- GENETICS 466
- GENETICS 468
- BIOCORE 383
- PSYCH/ZOOLOGY 523
- graduate/professional standing
Professors
Spring 2027Recent recorded grades — Spring 2026: 3.71 GPA, 100.0% A/AB (n=7 letter grades). Includes jointly taught sections.
Historical instructors & teaching patterns
ANDRE MOURA DA COSTA E SOUSA is recorded teaching in Spring 2026. Recorded history may be incomplete and does not establish a future schedule.
DONNA WERLING is recorded teaching in Spring 2026. 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 / 20 | 0 |
| LEC 001 | Classroom Instruction | 0 / 20 | 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 2026: 3.71 GPA, 100.0% A/AB (n=7 letter grades).
difficulty & workload
No workload feedback recorded.
Topics
- Functional genomics methods (RNA-seq, ATAC-seq, Hi-C, ChIP-seq)
- Brain development, evolution, and neurodevelopmental disorders
- Bioinformatic analysis of genome-scale data
- Research proposal development
Skills
- Interpret results from genomics tools like RNA-seq and ChIP-seq
- Design functional genomics research projects
- Evaluate scientific study designs and interpretations
- Apply bioinformatic approaches to analyze genome-scale datasets
Grades
Latest available · Spring 2026— not enough history to project Spring 2027.
Grade distribution · % of letter grades
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
Functional Genomics of Brain Disorders
Recorded 2026-10-14Functional Genomics of Brain Disorders
Recorded 2026-10-14Raw records
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]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": "198e837f23e53fd66a204074a3c1307f3b06baba30b404a8911f99b350d145df",
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}