Spring 2027

Undergraduate Elective Topics in Computing

Undergraduate elective topics in computing covering instructor-selected subjects with sufficient depth to meet CS Major requirements.

offering recorded3–4 credits
Recorded instructors · Spring 2027 No instructors listed

Summary

1 / 5

Past student reviews · Josiah Hanna

In Josiah Hanna’s autonomous robotics offering, the total workload was fine. He collected questions before class to address complex concepts in clear detail.

Grade history

↗
average GPA
letter grades
A
AB
B
BC
C
D
F

All recorded terms · compare terms & instructors

Prerequisites

Course map

None

  • None
COMPSCI 639

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

Prerequisite text tree
  • None

Professors

Spring 2027

No instructors recorded for this selection.

Historical instructors & teaching patterns

BARTON MILLER is recorded teaching in Spring 2019, Spring 2020. Recorded history may be incomplete and does not establish a future schedule.

BILGE MUTLU is recorded teaching in Spring 2018, Fall 2018, Spring 2019, Fall 2019, Fall 2020, Spring 2026. Recorded history may be incomplete and does not establish a future schedule.

EFTYCHIOS SIFAKIS is recorded teaching in Spring 2020, Spring 2022, Spring 2023, Spring 2024. Recorded history may be incomplete and does not establish a future schedule.

JOSIAH HANNA is recorded teaching in Spring 2025, Spring 2026. Recorded history may be incomplete and does not establish a future schedule.

SWAMIT TANNU is recorded teaching in Spring 2025, Spring 2026. Recorded history may be incomplete and does not establish a future schedule.

YONG JAE LEE is recorded teaching in Spring 2023, Spring 2024, Spring 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
LEC 001Classroom Instruction0 / 1000
LEC 002Classroom Instruction0 / 1500
LEC 003Classroom Instruction0 / 1500

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

Meeting source records
Download part 1

Student experience

the class

Past student reviews · Yong Lee

Yong Lee taught an engaging course with a fair final exam and a well-designed curriculum. Students reported that the final was entirely conceptual and manageable with advance preparation.

Recent recorded grades — Spring 2025: 3.57 GPA, 77.3% A/AB (n=348 letter grades); Fall 2025: 3.62 GPA, 85.0% A/AB (n=80 letter grades); Spring 2026: 3.70 GPA, 84.1% A/AB (n=546 letter grades).

difficulty & workload

Past student reviews · Josiah Hanna

In Josiah Hanna’s autonomous robotics offering, the total workload was fine. He collected questions before class to address complex concepts in clear detail.

Past student reviews · Swamit Tannu

Swamit Tannu was approachable during office hours and after class, demonstrating a good understanding of industry trends in the quantum computing space.

Grades

Historical instructor

Spring 2027 · 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.

5 earlier forecasts · 0.12 GPA average error.

Grades over time

Through Spring 2027

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

1280 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.

Download part 1
Selected offering source records
COMPSCI 639 · Spring 2027

Undergraduate Elective Topics in Computing

Recorded 2026-10-14
COMPSCI 639 · Spring 2027

AI-Assisted Software Dev

Recorded 2026-10-14
COMPSCI 639 · Spring 2027

Social & Ethical Aspects of 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": "1274:266:024923",
    "course_id": "COMPSCI 639",
    "course_uid": "course_87400c0728797946c5cef14c",
    "term_id": "1274",
    "source_course_id": "024923",
    "source_subject_id": "266",
    "title": "Undergraduate Elective Topics in Computing",
    "credits_min": 3,
    "credits_max": 4,
    "typically_offered": "Occasionally"
  },
  {
    "run_id": "20261014T203208-0851c9a1",
    "semester": "1274",
    "observed_at": "2026-10-14 17:50:09.728220+00:00",
    "offering_id": "1274:266:024923.37",
    "course_id": "COMPSCI 639",
    "course_uid": "course_87400c0728797946c5cef14c",
    "term_id": "1274",
    "source_course_id": "024923.37",
    "source_subject_id": "266",
    "title": "AI-Assisted Software Dev",
    "credits_min": 3,
    "credits_max": 4,
    "typically_offered": "Occasionally"
  },
  {
    "run_id": "20261014T203208-0851c9a1",
    "semester": "1274",
    "observed_at": "2026-10-14 17:50:09.728220+00:00",
    "offering_id": "1274:266:024923.39",
    "course_id": "COMPSCI 639",
    "course_uid": "course_87400c0728797946c5cef14c",
    "term_id": "1274",
    "source_course_id": "024923.39",
    "source_subject_id": "266",
    "title": "Social & Ethical Aspects of AI",
    "credits_min": 3,
    "credits_max": 4,
    "typically_offered": "Occasionally"
  }
]
Rate My Professors

Student reviews

Original comments behind the course and instructor summaries.

Read original reviews
Download part 1
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
Download part 1
Full model traces

Recorded model configuration, reasoning, and tool conversations.

Download part 1Download part 2Download part 3Download part 4
Model & dataset provenance 
{
  "model": "Qwen/Qwen3.8-27B",
  "model_revision": "1d4bf0f2ff6012fd82039f2fa52739d0dd7c60c0",
  "task_version": "17",
  "output_id": "12c6aa698982b27e74a74bb5d6bc261c5cf120bb3244e65a78012a44c7ab3cba",
  "requirements_status": "valid",
  "dataset_revision": "fc1811fa52e581ea57a35c0cf3343f8740a8ffbf",
  "observed_at": "2026-10-14 17:50:09.728220+00:00"
}