Dynamics

EMA 202 Dynamics covers kinematics, force-mass-acceleration, work-energy, impulse-momentum, and mass moments of inertia.

offering recorded3 credits
Recorded instructors · Fall 2026 Eric Kazyak3.7/5Antonio Hernandez

Summary

1 / 7

The course requires two homework assignments per week and includes required discussions. Exams are described as predictable but hard, with significant time spent on equation derivations.

Grade history

average GPA
letter grades
A
AB
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BC
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F

All recorded terms · compare terms & instructors

Prerequisites

Course map

E M A 201 or member of Engineering Guest Students

    • EMA 201
    • member of Engineering Guest Students
    take one
EMA 202 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
  • Any of
    • EMA 201
    • member of Engineering Guest Students

Professors

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

Raw average: 4.00/5 from 5 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.

Eric Kazyak provides lectures that teach the material, though students disagree on their utility. Some find his derivations helpful and lectures interactive, while others find them unhelpful or confusing. He holds office hours and offers a grade curve that drops the lowest exam score.

Recent recorded grades — Spring 2023: 3.04 GPA, 38.1% A/AB (n=118 letter grades); Fall 2024: 3.25 GPA, 56.3% A/AB (n=261 letter grades); Fall 2025: 3.07 GPA, 40.8% A/AB (n=292 letter grades).

Historical instructors & teaching patterns

Historical reviews of Sonny Nimityongskul: Sonny Nimityongskul provides generally good lectures and manageable homework if students seek help, though the final exam is hard. Reviewers note that balancing other commitments requires dedicated time for this course.

AARON NIMITYONGSKUL is recorded teaching in Fall 2014, Spring 2015, Fall 2016, Fall 2017, Fall 2019, Fall 2020, Fall 2021, Fall 2022, Fall 2023. Recorded history may be incomplete and does not establish a future schedule.

ANTONIO HERNANDEZ is recorded teaching in Spring 2026. Recorded history may be incomplete and does not establish a future schedule.

DANIEL KAMMER is recorded teaching in Fall 2007, Spring 2008, Fall 2009, Spring 2010, Spring 2014. Recorded history may be incomplete and does not establish a future schedule.

ERIC KAZYAK is recorded teaching in Spring 2023, Fall 2024, Fall 2025. Recorded history may be incomplete and does not establish a future schedule.

PETER ADAMCZYK is recorded teaching in Spring 2016, Spring 2017, Spring 2018. Recorded history may be incomplete and does not establish a future schedule.

ROBERT WITT is recorded teaching in Fall 2008, Spring 2009, Fall 2010, Spring 2011, Fall 2018. Recorded history may be incomplete and does not establish a future schedule.

SUZANNAH SANDRIK is recorded teaching in Spring 2007, Fall 2011, Spring 2012, Fall 2012, Fall 2015. Recorded history may be incomplete and does not establish a future schedule.

THOMAS ALAN CARSTENS is recorded teaching in Spring 2013. 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 Instruction208 / 2103
DIS 301Classroom Instruction69 / 700
DIS 302Classroom Instruction69 / 701
DIS 303Classroom Instruction70 / 702
DIS 304Classroom Instruction56 / 700
DIS 306Classroom Instruction67 / 700
DIS 305Classroom Instruction66 / 700
LEC 002Classroom Instruction189 / 2100

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

Eric Kazyak is viewed as a caring professor who teaches the material well and holds helpful office hours. Reviewers appreciate his interactive lectures and fair exam preparation, noting he meets standard university expectations.

Recent recorded grades — Spring 2025: 3.35 GPA, 59.4% A/AB (n=281 letter grades); Fall 2025: 3.07 GPA, 40.8% A/AB (n=292 letter grades); Spring 2026: 2.99 GPA, 39.3% A/AB (n=321 letter grades).

difficulty & workload

The course requires two homework assignments per week and includes required discussions. Exams are described as predictable but hard, with significant time spent on equation derivations.

Students report mixed experiences with lectures; some find them interactive and important, while others find them unhelpful and prefer to self-study. The lowest exam score is curved down to 10% of the grade.

Topics

  • Kinematics
  • Force-mass-acceleration relations
  • Work and energy
  • Impulse and momentum
  • Moments of inertia and mass

Skills

  • Analysis of kinematics and kinetics using force-mass-acceleration, work-energy, and impulse-momentum methods.

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 · 0.22 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
EMA 202 · Fall 2026

Dynamics

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": "1272:346:006574",
    "course_id": "EMA 202",
    "course_uid": "course_57aa219a4d095137406e82be",
    "term_id": "1272",
    "source_course_id": "006574",
    "source_subject_id": "346",
    "title": "Dynamics",
    "credits_min": 3,
    "credits_max": 3,
    "typically_offered": "Fall, Spring, Summer"
  }
]
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": "16fec90043eaa855c73fd18adbb7fd99f47d82bb95c6112e099d371b0fd6b0f7",
  "requirements_status": "valid",
  "dataset_revision": "e243353dcb7d79b7247ced91d69443ef4c2a6349",
  "observed_at": "2026-09-07 15:55:43.033547+00:00"
}