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Fall 2026
Early Drug Discovery
BIOMDSCI 820 examines the early drug discovery process, covering target identification, chemical library generation, screening, and lead optimization.
Summary
Lectures are small, with a median of 23 enrolled students in the recorded sections.
Grade history
↗ average GPA
letter grades
letter grades
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Prerequisites
Course mapDeclared in Biotechnology MS
- Declared in Biotechnology MS
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Prerequisite text tree
- Declared in Biotechnology MS
Professors
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Historical instructors & teaching patterns
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 | Classroom Instruction | 23 / 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
Examine the early drug discovery process, including target identification and validation, generation of diverse chemical libraries, assay development and high throughput screening, lead optimization by compound profiling, and drug targeting and delivery.
difficulty & workload
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Topics
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Sources & history
UW–Madison
Catalog & offerings
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Selected offering source records
Early Drug Discovery
Recorded 2026-09-07Raw records
[
{
"run_id": "20260907T155543-ce3781c4",
"semester": "1272",
"observed_at": "2026-09-07 15:55:43.033547+00:00",
"offering_id": "1272:209:027012",
"course_id": "BIOMDSCI 820",
"course_uid": "course_c3074426bcd8942521fc4a08",
"term_id": "1272",
"source_course_id": "027012",
"source_subject_id": "209",
"title": "Early Drug Discovery",
"credits_min": 4,
"credits_max": 4,
"typically_offered": "Not Applicable"
}
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Madgrades
Grade history
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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": "da98151b45a5742d2f9ebe8625b67b4d5a5afe819ffb1c79640b85bd060be1e7",
"requirements_status": "valid",
"dataset_revision": "e243353dcb7d79b7247ced91d69443ef4c2a6349",
"observed_at": "2026-09-07 15:55:43.033547+00:00"
}