Fall 2026

Research in Kinesiology

Covers the research process in kinesiology, including hypothesis development, study design, ethics, measurement, statistics, and result presentation.

offering recorded2 credits
Recorded instructors · Fall 2026 Dan Schaefer3.9/5Leah Smith

Summary

1 / 6

Historical reviews of Martha McCurdy: Reviewers report that exams are hard and the paper is very time-consuming, with the workload being comparable to a four-credit class rather than the two credits offered.

Grade history

average GPA
letter grades
A
AB
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BC
C
D
F

All recorded terms · compare terms & instructors

Prerequisites

Course map

MATH 112 or placement inMATH 113 and (STAT 371, 301, or PSYCH 210)

KINES 330 used by

“Used by” includes alternatives; linked courses may have other requirements. This is a best-effort interpretation; check the catalog requirements above.

Prerequisite text tree

Professors

Fall 2026
/5Adjusted rating
/5RMP difficulty
captured reviews
About this rating

Raw average: 5.00/5 from 4 quality ratings. The adjusted rating blends this with the UW review average (3.66/5), weighted as 20 additional ratings. Smaller samples stay closer to that average. Each captured review is counted once in the prior; this does not correct who chooses to leave a review.

RMP profile ↗ · All captured review dates; profile matched by name.

No course-specific feedback yet.

Historical instructors & teaching patterns

Historical reviews for Martha McCurdy describe the course as difficult with harsh grading and unclear criteria. Reviewers note that the workload is excessive for a two-credit class, making high grades hard to achieve despite significant effort.

MARTHA MCCURDY is recorded teaching in Spring 2009, Fall 2014, Spring 2015, Fall 2015, Spring 2016, Fall 2016, Spring 2017, Fall 2017, Spring 2018, Fall 2018, Spring 2019, Fall 2019, Spring 2020, Fall 2020. 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

Fall 2026

Schedule loads here as you scroll.

SectionModeEnrolled / capacityWaitlist
LEC 001Classroom Instruction47 / 4618
LEC 002Classroom Instruction32 / 3219

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

Historical reviews for Martha McCurdy describe the course as difficult and harshly graded, with students finding it one of the worst classes they have taken due to unclear criteria and high expectations for a two-credit course.

Recent recorded grades — Spring 2025: 3.98 GPA, 100.0% A/AB (n=100 letter grades); Fall 2025: 3.97 GPA, 98.0% A/AB (n=49 letter grades); Spring 2026: 3.97 GPA, 100.0% A/AB (n=98 letter grades).

difficulty & workload

Historical reviews of Martha McCurdy: Reviewers report that exams are hard and the paper is very time-consuming, with the workload being comparable to a four-credit class rather than the two credits offered.

Historical reviews of Martha McCurdy: One reviewer noted that the instructor provided good feedback for group projects but found the grading criteria unclear and the overall experience frustrating due to the difficulty of earning high grades.

Topics

  • Hypothesis development and study design
  • Research ethics
  • Measurement and statistical concepts
  • Presentation of results

Skills

  • Research design and ethical application
  • Scientific communication and presentation

Grades

Historical instructor

Fall 2026 · Projected

Before grades are released

average GPA

Approximate 80% prediction interval

About this estimate

The course’s semester-average GPA, not an individual student’s grade. The center uses 5 same-season terms, weighted toward recent results.

The range uses the finite-sample 80th-percentile rank of absolute errors from earlier same-season forecasts. Each forecast uses only records from earlier terms. At least four forecasts are required; bounds are rounded outward and limited to 0–4. This is an empirical estimate: changing instructors or grading policies can reduce its coverage.

8 earlier forecasts · 0.10 GPA average error.

Grades over time

Through Fall 2026

More grade details Grade mix, volume & source data

Where this course fits relative to

Latest available grades · Spring 2026 · all course levels

GPA

Higher than % of other courses in this group.

Course GPAs · red marks this course’s range

letter grades

More recorded grades than % of other courses in this group.

Typical course in this group: letter grades.

About this comparison

1283 courses over the same term, each with at least 30 recorded letter grades. Cross-listed courses count once. GPA is not a measure of difficulty or teaching quality. The typical course is the median by recorded grade count; tied values are not counted as lower. Grade counts describe course scale, not unique students or typical section size.

Descriptions compare GPA with this group’s average: at least 0.20 higher or lower; otherwise close to average. Section size uses median recorded enrollment: small up to 30, mid-sized 31–99, large 100+. Lectures and discussion/lab sections are described separately.

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
KINES 330 · Fall 2026

Research in Kinesiology

Recorded 2026-09-07
Raw records
[
  {
    "run_id": "20260907T155543-ce3781c4",
    "semester": "1272",
    "observed_at": "2026-09-07 15:55:43.033547+00:00",
    "offering_id": "1272:742:022981",
    "course_id": "KINES 330",
    "course_uid": "course_796e955c0958a6c1c165d522",
    "term_id": "1272",
    "source_course_id": "022981",
    "source_subject_id": "742",
    "title": "Research in Kinesiology",
    "credits_min": 2,
    "credits_max": 2,
    "typically_offered": "Fall, Spring"
  }
]
Rate My Professors

Student reviews

Original comments behind the course and instructor summaries.

Read original reviews
Madgrades

Grade history

Recorded grade distributions by term, section, and instructor.

Explore recorded grades
Model 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": "3984385cd5f98253acf340217a8e5609e9aab34ddb07f98da9e4261abf6cf727",
  "requirements_status": "valid",
  "dataset_revision": "e243353dcb7d79b7247ced91d69443ef4c2a6349",
  "observed_at": "2026-09-07 15:55:43.033547+00:00"
}