Case Synthesis 2
Case Synthesis 2 facilitates peer learning around cases developed from fieldwork, synthesizing advocacy and population health through problem-based strategies.
Summary
Recent recorded grades — Fall 2023: 3.98 GPA, 100.0% A/AB (n=30 letter grades); Fall 2024: 3.98 GPA, 100.0% A/AB (n=29 letter grades); Fall 2025: 4.00 GPA, 100.0% A/AB (n=21 letter grades).
What you’ll be able to do
Apply, analyze, and evaluate scientific evidence, theories, models of practice, and frames of reference that underlie the practice of occupational therapy to guide and inform interventions for persons, groups, and populations in a variety of practice contexts and environments.
Demonstrate clinical reasoning to evaluate, analyze, diagnose, and provide occupation-based interventions to address client factors, performance patterns, and performance skills
Utilize clinical reasoning to facilitate occupation-based interventions that address client factors. This must include interventions focused on promotion, compensation, adaptation, and prevention.
Monitor and reassess, in collaboration with the client, caregiver, family, and significant others, the effect of occupational therapy intervention and the need for continued or modified intervention.
Design and implement intervention strategies to remediate and/or compensate for functional cognitive deficits, visual deficits, and psychosocial and behavioral health deficits that affect occupational performance
Develop a plan for discharge from occupational therapy services in collaboration with the client and members of the interprofessional team by reviewing the needs of the client, caregiver, family, and significant others; available resources; and discharge environment.
Apply teaching methods to facilitation of group case-based learning process
Identify opportunities for advocacy and population health interventions based on individual level cases.
Source: UW Guide
Grade history
↗All recorded terms · compare terms & instructors
Prerequisites
Course mapOCC THER 821
This is a best-effort interpretation; check the catalog requirements above.
Prerequisite text tree
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 2023: 3.98 GPA, 100.0% A/AB (n=30 letter grades); Fall 2024: 3.98 GPA, 100.0% A/AB (n=29 letter grades); Fall 2025: 4.00 GPA, 100.0% A/AB (n=21 letter grades).
difficulty & workload
No workload feedback recorded.
Topics
- Advocacy and population health
- Problem-based learning
- Fieldwork-based case development
Skills
- Developing learning cases from fieldwork experience
- Synthesizing advocacy and population health concepts
- Applying problem-based learning strategies in groups
- Facilitating group case-based learning
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
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
{
"model": "Qwen/Qwen3.8-27B",
"model_revision": "1d4bf0f2ff6012fd82039f2fa52739d0dd7c60c0",
"task_version": "17",
"output_id": "aef6432ce423c3c1d90950076f580eb2a1b0099d943e217c68ff41e2d17805b6",
"requirements_status": "valid",
"dataset_revision": "fc1811fa52e581ea57a35c0cf3343f8740a8ffbf",
"observed_at": "2026-10-14 17:50:09.728220+00:00"
}