Spring 2027

Theory and Practice in Computer Science Education

Theory and practice in CS education covering pedagogy, teaching practices, and practical tutoring experience.

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

Summary

1 / 6

Past student reviews · Andrew Kuemmel

Students rated the course difficulty as low. The experience involved learning about tutoring and giving back to the community, with an option to stay after the semester for paid work.

What you’ll be able to do

  • Describe and demonstrate best practices in the teaching of computer science.

  • Create learning materials that exemplify selected computer science pedagogical topics.

  • Identify effective tutoring session strategies.

Source: UW Guide 1 UW Guide 2

Grade history

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

Prerequisites

Course map

COMP SCI 300 or declared in Computer Sciences graduate program

    • COMPSCI 300
    • declared in Computer Sciences graduate program
    take one
COMPSCI/CURRIC 502

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

Prerequisite text tree
  • Any of
    • COMPSCI 300
    • declared in Computer Sciences graduate program

Professors

Spring 2027

No instructors recorded for this selection.

Historical instructors & teaching patterns

ANDREW KUEMMEL is recorded teaching in Fall 2018, Spring 2019, Fall 2019, Spring 2020, Fall 2020, Fall 2021, Spring 2022, Fall 2023, Spring 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

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

Student experience

the class

Past student reviews · Andrew Kuemmel

This service-learning course covers current topics in CS education through relevant readings discussed in class. It is recommended for students interested in tutoring or the educational aspects of computer science.

Recent recorded grades — Spring 2025: 3.95 GPA, 96.8% A/AB (n=31 letter grades); Fall 2025: 3.98 GPA, 97.8% A/AB (n=46 letter grades); Spring 2026: 4.00 GPA, 100.0% A/AB (n=13 letter grades).

difficulty & workload

Past student reviews · Andrew Kuemmel

Students rated the course difficulty as low. The experience involved learning about tutoring and giving back to the community, with an option to stay after the semester for paid work.

Past student reviews · Andrew Kuemmel

Past students found the instructor cared about both learning and well-being. The class provided useful preparation for those planning to tutor or get involved in CS education.

Topics

  • CS educational pedagogy and teaching practices
  • Student tutoring
  • Creating learning materials for CS pedagogy

Skills

  • Best practices in teaching computer science
  • Creating CS learning materials
  • Effective tutoring session strategies

Grades

Latest available · Spring 2026— 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 Spring 2026

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.

Read original reviews
Madgrades

Grade history

Recorded grade distributions by term, section, and instructor.

Explore recorded grades
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
{
  "model": "Qwen/Qwen3.8-27B",
  "model_revision": "1d4bf0f2ff6012fd82039f2fa52739d0dd7c60c0",
  "task_version": "17",
  "output_id": "0214d5224e79491b8e13c11aaf75d07ff75cd0a8625deeba4e742800ffe6b0ff",
  "requirements_status": "valid",
  "dataset_revision": "fc1811fa52e581ea57a35c0cf3343f8740a8ffbf",
  "observed_at": "2026-10-14 17:50:09.728220+00:00"
}