Spring 2027

Physiology of Human Performance

An integrated study of human performance limits using biology, chemistry, psychology, and mechanics to explain physiological processes from molecular to whole-body levels via case studies.

no offering record for this termCredits unavailable
Recorded instructors · Spring 2027 No instructors listed

Summary

1 / 6

Past student reviews · Gary Diffee

The class involved semester-long projects and one final exam. Students found the workload manageable and the grading neither particularly easy nor hard.

What you’ll be able to do

  • Develop effective strategies for solving problems in science, including some strategies for finding information to help solve the problem.

  • Develop an appreciation for the role that limiting factors play in human physiology and an ability to identify limiting factors in a variety of physiological processes

  • Have an appreciation for the relationships between a variety of different subjects related to human physiology and understand how an effective approach to understanding human performance requires an integrated approach from a number of disciplines.

Source: UW Guide

Grade history

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average GPA
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Prerequisites

Course map

None

  • None
KINES 115

This is a best-effort interpretation; check the catalog requirements above.

Prerequisite text tree
  • None

Professors

Spring 2027

No instructors recorded for this selection.

Historical instructors & teaching patterns

GARY DIFFEE is recorded teaching in Fall 2014, Fall 2015, Fall 2016, Fall 2017, Fall 2018, Fall 2019, Fall 2020, Fall 2021, Fall 2022, Fall 2023, Fall 2024. 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 2027

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SectionModeEnrolled / capacityWaitlist

Times are Central. Select a meeting for details; export includes recorded dates for the selected sections.

Meeting source records

No records available.

Student experience

the class

Past student reviews · Gary Diffee

Gary Diffee taught this FIG course using lectures, demonstrations, and student presentations. He made the material interactive and focused on student success.

Recent recorded grades — Fall 2022: 3.95 GPA, 100.0% A/AB (n=20 letter grades); Fall 2023: 3.34 GPA, 84.2% A/AB (n=19 letter grades); Fall 2024: 3.97 GPA, 100.0% A/AB (n=19 letter grades).

difficulty & workload

Past student reviews · Gary Diffee

The class involved semester-long projects and one final exam. Students found the workload manageable and the grading neither particularly easy nor hard.

Past student reviews · Gary Diffee

One student found it frustrating that assignment grades were only released at the end of the semester. Another noted that lectures were advanced and sometimes confusing.

Topics

  • Physiological processes and their limits
  • Factors determining and limiting human performance
  • Movement, exercise, and performance
  • Molecular to whole-body integration

Skills

  • Solving scientific problems and finding relevant information
  • Identifying limiting factors in physiological processes
  • Integrating interdisciplinary knowledge to analyze human performance

Grades

Latest available · Fall 2024— not enough history to project Spring 2027.

average GPA
A / AB grades
letter grades
Instructor

Grade distribution · % of letter grades

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AB
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BC
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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

UW–Madison

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.

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Madgrades

Grade history

Recorded grade distributions by term, section, and instructor.

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Model outputs & technical records
Qwen/Qwen3.8-27B
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": "d2f04a83b4049db5294be7c16a7f6b044d0cdc18a8c537e2b05c7ac853a058db",
  "requirements_status": "valid",
  "dataset_revision": "fc1811fa52e581ea57a35c0cf3343f8740a8ffbf",
  "observed_at": "2026-10-14 17:50:09.728220+00:00"
}