Ecology, Epidemiology and Control of Plant Diseases
Covers environmental factors in disease development and spread, pathogen variability, genetics of disease resistance, and principles of disease control.
Summary
Recent recorded grades — Fall 2020: 3.96 GPA, 100.0% A/AB (n=14 letter grades); Fall 2022: 3.77 GPA, 90.9% A/AB (n=11 letter grades); Fall 2024: 3.90 GPA, 93.3% A/AB (n=15 letter grades).
What you’ll be able to do
Model disease progress over time and space.
Connect population scale phenomena to individual organism interactions.
Design empirical studies of epidemics.
Model how biotic and abiotic conditions affect epidemic dynamics.
Compare and contrast causes and consequences of disease in natural and managed systems.
Evaluate relative benefits of disease management tools.
Design rational management strategies based on understanding of epidemic dynamics.
Synthesize current scientific literature related to ecology, epidemiology, and plant diseases.
Source: UW Guide
Grade history
↗All recorded terms · compare terms & instructors
Prerequisites
Course mapPL PATH 300, (MATH 217 or 221), and (STAT 301, 371, orF&W ECOL/STAT 571, or HORT 571 prior to Spring 2025), or graduate/professional standing
- PLPATH 300
- MATH 217
- MATH 221
- STAT 301
- STAT 371
- F&WECOL/STAT 571
- HORT 571 prior to Spring 2025
- graduate/professional standing
This is a best-effort interpretation; check the catalog requirements above.
Prerequisite text tree
- Any of
- All of
- PLPATH 300
- Any of
- MATH 217
- MATH 221
- Any of
- STAT 301
- STAT 371
- F&WECOL/STAT 571
- HORT 571 prior to Spring 2025
- graduate/professional standing
- All of
Professors
Spring 2027No instructors recorded for this selection.
Historical instructors & teaching patterns
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 |
|---|
Times are Central. Select a meeting for details; export includes recorded dates for the selected sections.
Meeting source records
Student experience
the class
Recent recorded grades — Fall 2020: 3.96 GPA, 100.0% A/AB (n=14 letter grades); Fall 2022: 3.77 GPA, 90.9% A/AB (n=11 letter grades); Fall 2024: 3.90 GPA, 93.3% A/AB (n=15 letter grades).
difficulty & workload
No workload feedback recorded.
Topics
- Environmental factors in the development and spread of diseases
- Pathogen variability
- Genetics of disease resistance
- Principles of disease control
Skills
- Model disease progress over time and space; model how biotic and abiotic conditions affect epidemic dynamics.
- Design empirical studies of epidemics; design rational management strategies based on understanding of epidemic dynamics.
- Compare and contrast causes and consequences of disease in natural and managed systems; evaluate relative benefits of disease management tools.
- Synthesize current scientific literature related to ecology, epidemiology, and plant diseases.
Grades
Latest available · Fall 2024— not enough history to project Spring 2027.
Grade distribution · % of letter grades
Grades over time
Through Fall 2024
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
No offering records for the selected term.
Raw 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
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"model_revision": "1d4bf0f2ff6012fd82039f2fa52739d0dd7c60c0",
"task_version": "17",
"output_id": "ebed0ab9305bbbd88f53ab08f81d3c86b181922b0e7d215b5d7134494e0f84c5",
"requirements_status": "needs_review",
"dataset_revision": "fc1811fa52e581ea57a35c0cf3343f8740a8ffbf",
"observed_at": "2026-10-14 17:50:09.728220+00:00"
}