Spring 2027

Special Topics in Computing

Introductory special topics in computing covering current subjects for various disciplines.

offering recorded1–3 credits
Recorded instructors · Spring 2027 Hobbes Legault4.4/5

Summary

What you’ll be able to do

  • Utilize basic computing tools.

  • Identify and explain fundamental computational concepts.

  • Apply computational thinking to solve problems.

Source: UW Guide

Grade history

↗
average GPA
letter grades

No recorded grade history.

All recorded terms · compare terms & instructors

Prerequisites

Course map

None

  • None
COMPSCI 239

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

Prerequisite text tree
  • None

Professors

Spring 2027
Adjusted rating
RMP difficulty
captured reviews
About this rating

Raw average: 4.54/5 from 93 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

Recorded history may be incomplete and does not establish a future schedule.

Calendar & sections

Spring 2027

Schedule loads here as you scroll.

SectionModeEnrolled / capacityWaitlist
LEC 001Classroom Instruction0 / 750

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

Current computing topics designed for a variety of disciplines, presented at an introductory level.

difficulty & workload

No workload feedback recorded.

Topics

  • Current computing topics
  • Fundamental computational concepts
  • Computational thinking

Skills

  • Utilizing basic computing tools
  • Identifying and explaining fundamental computational concepts
  • Applying computational thinking to solve problems

Grades

Instructor

Grade distribution · % of letter grades

No grades available yet.

More grade details Grade mix, volume & source data

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
COMPSCI 239 · Spring 2027

Special Topics in Computing

Recorded 2026-10-14
COMPSCI 239 · Spring 2027

Demystifying AI

Recorded 2026-10-14
Raw records
[
  {
    "run_id": "20261014T203208-0851c9a1",
    "semester": "1274",
    "observed_at": "2026-10-14 17:50:09.728220+00:00",
    "offering_id": "1274:266:027424",
    "course_id": "COMPSCI 239",
    "course_uid": "course_5bcb44d68cd6431d2e5be3c0",
    "term_id": "1274",
    "source_course_id": "027424",
    "source_subject_id": "266",
    "title": "Special Topics in Computing",
    "credits_min": 1,
    "credits_max": 3,
    "typically_offered": "Not Applicable"
  },
  {
    "run_id": "20261014T203208-0851c9a1",
    "semester": "1274",
    "observed_at": "2026-10-14 17:50:09.728220+00:00",
    "offering_id": "1274:266:027424.2",
    "course_id": "COMPSCI 239",
    "course_uid": "course_5bcb44d68cd6431d2e5be3c0",
    "term_id": "1274",
    "source_course_id": "027424.2",
    "source_subject_id": "266",
    "title": "Demystifying AI",
    "credits_min": 1,
    "credits_max": 3,
    "typically_offered": "Not Applicable"
  }
]
Rate My Professors

Student reviews

Original comments behind the course and instructor summaries.

Read original reviews

No records available.

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": "15728c064b7d74b39f1a099ed5c7b5c8ae7eeb8650b765fd32f99f13f4903ea3",
  "requirements_status": "valid",
  "dataset_revision": "fc1811fa52e581ea57a35c0cf3343f8740a8ffbf",
  "observed_at": "2026-10-14 17:50:09.728220+00:00"
}