Spring 2027

Internal Combustion Engines

Covers fundamental principles of internal combustion engine operation, including cycle analysis, gas analysis, and the impact of operating conditions and design on air pollution.

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

Summary

1 / 7

Past student reviews · Sage Kokjohn

Students reported that the homework was pretty easy and the exams were fair, suggesting a manageable workload that did not feel overly burdensome.

What you’ll be able to do

  • Identify the basic characteristics of internal combustion engine operation

  • Use thermodynamic principles to analyze various types of internal combustion engines

  • Recognize, describe, predict, and analyze internal combustion engines subject to modifications and improvements that are related to the state of the art

  • Communicate effectively through written reports related to ongoing timely research in the area of internal combustion engines

Source: UW Guide

Grade history

↗
average GPA
letter grades
A
AB
B
BC
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All recorded terms · compare terms & instructors

Prerequisites

Course map

M E 361, or graduate/professional standing, or member of Engineering Guest Students

    • ME 361
    • graduate/professional standing
    • member of Engineering Guest Students
    take one
ME 469

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

Prerequisite text tree
  • Any of
    • ME 361
    • graduate/professional standing
    • member of Engineering Guest Students

Professors

Spring 2027

No instructors recorded for this selection.

Historical instructors & teaching patterns

GLENN BOWER is recorded teaching in Fall 2012, Fall 2016. Recorded history may be incomplete and does not establish a future schedule.

SAGE KOKJOHN is recorded teaching in Fall 2013, Fall 2014, Fall 2015, Fall 2017, Fall 2018, Fall 2019, Fall 2020, Fall 2021, Fall 2022, Fall 2023, Fall 2024, Fall 2025. 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

Schedule loads here as you scroll.

SectionModeEnrolled / capacityWaitlist

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

Meeting source records
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Student experience

the class

Past student reviews · Sage Kokjohn

The course was excellently designed with a balanced mix of theory, thermodynamics, and application. The instructor demonstrated strong competence by ensuring students understood concepts through thorough question handling.

Recent recorded grades — Fall 2023: 3.61 GPA, 84.1% A/AB (n=44 letter grades); Fall 2024: 3.80 GPA, 89.8% A/AB (n=49 letter grades); Fall 2025: 3.69 GPA, 89.3% A/AB (n=56 letter grades).

difficulty & workload

Past student reviews · Sage Kokjohn

Students reported that the homework was pretty easy and the exams were fair, suggesting a manageable workload that did not feel overly burdensome.

Past student reviews · Sage Kokjohn

During a COVID semester, the instructor was flexible with recorded lectures and held two office hours per week. Assignments were not needlessly tedious and consistently improved understanding of the material.

Topics

  • Fundamental principles of engine operation and application
  • Cycle and gas analysis
  • Effects of operating conditions and engine design on air pollution
  • Thermodynamic analysis of internal combustion engines

Skills

  • Identifying basic characteristics of internal combustion engine operation
  • Using thermodynamic principles to analyze internal combustion engines
  • Analyzing engine modifications and improvements related to state-of-the-art technology
  • Writing technical reports on internal combustion engine research

Grades

Latest available · Fall 2025— not enough history to project Spring 2027.

average GPA
A / AB grades
letter grades
Instructor

Grade distribution · % of letter grades

A
AB
B
BC
C
D
F

Grades over time

Through Fall 2025

More grade details Grade mix, volume & source data

Where this course fits relative to

Latest available grades · Fall 2025 · 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

1316 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.

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Selected offering source records

No offering records for the selected term.

Raw records 
[]
Rate My Professors

Student reviews

Original comments behind the course and instructor summaries.

Read original reviews
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Madgrades

Grade history

Recorded grade distributions by term, section, and instructor.

Explore recorded grades
Dataset & model

Recorded 2026-10-14

View the dataset on Hugging Face
Model outputs & technical records
Qwen/Qwen3.8-27B
LLM outputs across runs
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Full model traces

Recorded model configuration, reasoning, and tool conversations.

Download part 1
Model & dataset provenance 
{
  "model": "Qwen/Qwen3.8-27B",
  "model_revision": "1d4bf0f2ff6012fd82039f2fa52739d0dd7c60c0",
  "task_version": "17",
  "output_id": "6a73ef5fb457ae8ef89aad1169c6620f531e765558c8ed9b44aaca221739e81a",
  "requirements_status": "valid",
  "dataset_revision": "fc1811fa52e581ea57a35c0cf3343f8740a8ffbf",
  "observed_at": "2026-10-14 17:50:09.728220+00:00"
}