Stochastic Programming
STOCHASTIC PROGRAMMING covers decision making under uncertainty, including modeling, algorithms, and applications.
Summary
Historical reviews of Jim Luedtke: Assignments are reported to help students understand class material, though the course is rated as difficult.
Grade history
↗letter grades
All recorded terms · compare terms & instructors
Prerequisites
Course mapGraduate/professional standing
- Graduate/professional standing
This is a best-effort interpretation; check the catalog requirements above.
Prerequisite text tree
- Graduate/professional standing
Professors
Fall 2026No instructors recorded for this selection.
Historical instructors & teaching patterns
Historical instructor Jim Luedtke received high praise for lectures that balanced applications and math. Reviewers noted his well-structured lectures and assignments that aided understanding, leading to a strong recommendation for his class.
Recorded history may be incomplete and does not establish a future schedule.
Calendar & sections
Fall 2026Schedule loads here as you scroll.
| Section | Mode | Enrolled / capacity | Waitlist |
|---|
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
Historical reviews of Jim Luedtke: Jim Luedtke is highly recommended, with well-structured lectures that balance applications and math effectively.
Recent recorded grades — Spring 2020: 3.62 GPA, 69.2% A/AB (n=13 letter grades); Fall 2023: 3.78 GPA, 82.6% A/AB (n=23 letter grades); Spring 2025: 3.68 GPA, 70.6% A/AB (n=17 letter grades).
difficulty & workload
Historical reviews of Jim Luedtke: Assignments are reported to help students understand class material, though the course is rated as difficult.
Historical reviews of Jim Luedtke: The class is highly recommended, with assignments supporting the understanding of covered topics.
Topics
Skills
Grades
Latest available · Spring 2025— not enough history to project Fall 2026.
Grade distribution · % of letter grades
Grades over time
Through Spring 2025
More grade details Grade mix, volume & source data
Not enough comparable courses for Fall 2026 in UW–Madison.
Sources & history
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
Grade history
Recorded grade distributions by term, section, and instructor.
Explore recorded gradesModel outputs & technical records
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": "f5d4aa17704717890c6c33137dfe4adefc7106590aab4628330b3bb222ed4f5d",
"requirements_status": "valid",
"dataset_revision": "e243353dcb7d79b7247ced91d69443ef4c2a6349",
"observed_at": "2026-09-07 15:55:43.033547+00:00"
}