Fall 2026

Special Topics in Computing

COMPSCI 239 covers current computing topics at an introductory level for various disciplines.

offering recorded1–3 credits
Recorded instructors · Fall 2026 Hobbes Legault4.4/5

Summary

Lectures are small, with a median of 26 enrolled students in the recorded sections.

Section enrollment · Fall 2026 snapshot ↗

Grade history

average GPA
letter grades

No recorded grade history.

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Prerequisites

Course map

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COMPSCI 239

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Professors

Fall 2026
/5Adjusted rating
/5RMP 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.

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Historical instructors & teaching patterns

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

Calendar & sections

Fall 2026

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SectionModeEnrolled / capacityWaitlist
LEC 001Classroom Instruction26 / 500

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

Grades

Instructor

Grade distribution · % of letter grades

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More grade details Grade mix, volume & source data

Sources & history

UW–Madison

Catalog & offerings

Descriptions, prerequisites, and recorded course offerings.

Catalog observation history

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Selected offering source records
COMPSCI 239 · Fall 2026

Special Topics in Computing

Recorded 2026-09-07
COMPSCI 239 · Fall 2026

Demystifying AI

Recorded 2026-09-07
Raw records
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  {
    "run_id": "20260907T155543-ce3781c4",
    "semester": "1272",
    "observed_at": "2026-09-07 15:55:43.033547+00:00",
    "offering_id": "1272:266:027424",
    "course_id": "COMPSCI 239",
    "course_uid": "course_5bcb44d68cd6431d2e5be3c0",
    "term_id": "1272",
    "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": "20260907T155543-ce3781c4",
    "semester": "1272",
    "observed_at": "2026-09-07 15:55:43.033547+00:00",
    "offering_id": "1272:266:027424.2",
    "course_id": "COMPSCI 239",
    "course_uid": "course_5bcb44d68cd6431d2e5be3c0",
    "term_id": "1272",
    "source_course_id": "027424.2",
    "source_subject_id": "266",
    "title": "Demystifying AI",
    "credits_min": 1,
    "credits_max": 3,
    "typically_offered": "Not Applicable"
  }
]
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Madgrades

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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": "b6d40b71ed46c2aea6bbff82ea9345e228f194a4626eed1565851fe9bb3205f5",
  "requirements_status": "valid",
  "dataset_revision": "e243353dcb7d79b7247ced91d69443ef4c2a6349",
  "observed_at": "2026-09-07 15:55:43.033547+00:00"
}