Recent recorded grades — Spring 2025: 3.89 GPA, 100.0% A/AB (n=14 letter grades); Fall 2025: 3.97 GPA, 100.0% A/AB (n=17 letter grades); Spring 2026: 3.97 GPA, 100.0% A/AB (n=17 letter grades).
Applied Learning in Human Resource Management
Applied Learning in Human Resource Management explores emerging HR topics through personal assessments, case studies, industry meetings, and workshops to enhance leadership and communication.
Summary
Recent recorded grades — Spring 2025: 3.89 GPA, 100.0% A/AB (n=14 letter grades); Fall 2025: 3.97 GPA, 100.0% A/AB (n=17 letter grades); Spring 2026: 3.97 GPA, 100.0% A/AB (n=17 letter grades).
What you’ll be able to do
Examine industry standard human resource technical competencies (reflecting what knowledge HR professionals apply on the job) and behavioral competencies (reflecting how knowledge is applied).
Articulate current career aspirations
Prepare a strategic human resources-related business recommendation to address a current opportunity or challenge
Create a comprehensive dynamic (evergreen) networking plan
Source: UW Guide
Grade history
↗All recorded terms · compare terms & instructors
Prerequisites
Course mapM H R 705 or concurrent enrollment
This is a best-effort interpretation; check the catalog requirements above.
Prerequisite text tree
Professors
Spring 2027Historical instructors & teaching patterns
TANYA HUBANKS is recorded teaching in Fall 2023, Spring 2024, Fall 2024, Spring 2025, Fall 2025, 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 / 17 | 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 2025: 3.89 GPA, 100.0% A/AB (n=14 letter grades); Fall 2025: 3.97 GPA, 100.0% A/AB (n=17 letter grades); Spring 2026: 3.97 GPA, 100.0% A/AB (n=17 letter grades).
difficulty & workload
No workload feedback recorded.
Topics
- Emerging and current human resources topics
- Industry standard HR technical and behavioral competencies
- Current career aspirations
- Leadership and communication styles
Skills
- Examine industry standard human resource technical and behavioral competencies
- Prepare strategic human resources-related business recommendations
- Create comprehensive dynamic networking plans
- Enhance leadership and communication effectiveness
Grades
Latest available · Spring 2026— not enough history to project Spring 2027.
Grade distribution · % of letter grades
Grades over time
Through Spring 2026
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
Applied Learning in Human Resource Management
Recorded 2026-10-14Raw records
[
{
"run_id": "20261014T203208-0851c9a1",
"semester": "1274",
"observed_at": "2026-10-14 17:50:09.728220+00:00",
"offering_id": "1274:236:026500",
"course_id": "MHR 775",
"course_uid": "course_d77c78042f46280c2a474458",
"term_id": "1274",
"source_course_id": "026500",
"source_subject_id": "236",
"title": "Applied Learning in Human Resource Management",
"credits_min": 1,
"credits_max": 1,
"typically_offered": "Not Applicable"
}
]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": "f7828494cf8ee8f32246c8b523b092447020de1ca085e90101bbc214ebfd27ea",
"requirements_status": "needs_review",
"dataset_revision": "fc1811fa52e581ea57a35c0cf3343f8740a8ffbf",
"observed_at": "2026-10-14 17:50:09.728220+00:00"
}