Spring 2027

Contest-level Programming

Contest-Level Programming trains students in competitive coding, focusing on assessing problem complexity, applying known algorithms, and performing fast coding and testing in a team setting.

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

Summary

1 / 2

Recent recorded grades — Fall 2012: 4.00 GPA, 100.0% A/AB (n=11 letter grades); Fall 2014: 3.43 GPA, 71.4% A/AB (n=7 letter grades); Fall 2020: 3.56 GPA, 68.8% A/AB (n=16 letter grades).

Grade history

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average GPA
letter grades
A
AB
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BC
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Prerequisites

Course map

(COMP SCI 300 or 367), graduate/professional standing, or declared in the Capstone Certificate in Computer Sciences for Professionals

    • take one
    • graduate/professional standing
    • declared in the Capstone Certificate in Computer Sciences for Professionals
    take one
COMPSCI 578

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

Prerequisite text tree
  • Any of
    • Any of
    • graduate/professional standing
    • declared in the Capstone Certificate in Computer Sciences for Professionals

Professors

Spring 2027

No instructors recorded for this selection.

Historical instructors & teaching patterns

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

Calendar & sections

Spring 2027

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SectionModeEnrolled / capacityWaitlist

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

Meeting source records

No records available.

Student experience

the class

Recent recorded grades — Fall 2012: 4.00 GPA, 100.0% A/AB (n=11 letter grades); Fall 2014: 3.43 GPA, 71.4% A/AB (n=7 letter grades); Fall 2020: 3.56 GPA, 68.8% A/AB (n=16 letter grades).

difficulty & workload

No workload feedback recorded.

Topics

  • Competitive programming
  • Computational problem complexity
  • Algorithm selection
  • Rapid development and testing
  • Collaborative problem solving

Skills

  • Assessing coding difficulty and complexity of computational problems
  • Recognizing applicability of known algorithms
  • Fast coding and testing
  • Team work

Grades

Latest available · Fall 2020— 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 2020

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.

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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.

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Madgrades

Grade history

Recorded grade distributions by term, section, and instructor.

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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.

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Model & dataset provenance 
{
  "model": "Qwen/Qwen3.8-27B",
  "model_revision": "1d4bf0f2ff6012fd82039f2fa52739d0dd7c60c0",
  "task_version": "17",
  "output_id": "1d785673b57f96c89706441a2e0b87e3d5d6dbb723a1b889c0ecab3f8ed80bd7",
  "requirements_status": "valid",
  "dataset_revision": "fc1811fa52e581ea57a35c0cf3343f8740a8ffbf",
  "observed_at": "2026-10-14 17:50:09.728220+00:00"
}