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Fall 2026
Application of Bioinformatics
Application of bioinformatics tools to solve data acquisition, analysis, and modeling problems through a multi-system workflow project.
Recorded instructors · Fall 2026 Natalie Betz
Summary
Lectures are small, with a median of 2 enrolled students in the recorded sections.
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↗ average GPA
letter grades
letter grades
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Prerequisites
Course mapProfessors
Fall 2026Historical instructors & teaching patterns
NATALIE BETZ is recorded teaching in Fall 2022, Fall 2023, Fall 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
Fall 2026Schedule loads here as you scroll.
| Section | Mode | Enrolled / capacity | Waitlist |
|---|---|---|---|
| LEC 001 | Online Only | 2 / 100 | 0 |
Times are Central. Select a meeting for details; export includes recorded dates for the selected sections. Enrollment reflects scan time.
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No records available.
Student experience
the class
Exploration and application of existing bioinformatic tools. Implementation of pre-coded solutions to data acquisition, wrangling, analysis, visualization, and structural modeling problems. Complete a project that generates a multi-system workflow to solve bioinformatic problems.
difficulty & workload
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Sources & history
UW–Madison
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Selected offering source records
Application of Bioinformatics
Recorded 2026-09-07Raw records
[
{
"run_id": "20260907T155543-ce3781c4",
"semester": "1272",
"observed_at": "2026-09-07 15:55:43.033547+00:00",
"offering_id": "1272:160:025976",
"course_id": "ABT 785",
"course_uid": "course_45db8b1b7b0f7ca0783371c6",
"term_id": "1272",
"source_course_id": "025976",
"source_subject_id": "160",
"title": "Application of Bioinformatics",
"credits_min": 3,
"credits_max": 3,
"typically_offered": "Not Applicable"
}
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Madgrades
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Explore recorded gradesModel outputs & technical records
nvidia/Qwen3.6-35B-A3B-NVFP4
LLM outputs across runs
Full model traces
Recorded model configuration, reasoning, and tool conversations.
Model & dataset provenance
{
"model": "nvidia/Qwen3.6-35B-A3B-NVFP4",
"model_revision": "1355db6a052410cfd62085d94b58866fd0f2c3c5",
"task_version": "14",
"output_id": "e710c6e100ac81c9a61d93cf94cd0d4548fe392e04d0c7f7f6138d8c2c3ea42d",
"requirements_status": "needs_review",
"dataset_revision": "e243353dcb7d79b7247ced91d69443ef4c2a6349",
"observed_at": "2026-09-07 15:55:43.033547+00:00"
}