Jim Luedtke is praised for detailed explanations, clear examples, and engaging lectures. Reviewers note his helpfulness in office hours and willingness to accommodate schedules. However, the material is challenging, and one reviewer reports he can be condescending to non-experts.
Fall 2026
Operations Research-deterministic Modeling
ISYE 323 teaches basic techniques for modeling and optimizing deterministic systems, emphasizing linear programming and its applications.
Recorded instructors · Fall 2026 Jim Luedtke
Summary
1 / 7
The course is challenging, with very time-consuming case studies and hard material. Students report that the homework is relevant but requires significant effort to master the content.
Grade history
↗ average GPA
letter grades
letter grades
A
AB
B
BC
C
D
F
All recorded terms · compare terms & instructors
Prerequisites
Course mapMATH 222 and (MATH 340, 341 or 375), or member of Engineering Guest Students
“Used by” includes alternatives; linked courses may have other requirements. This is a best-effort interpretation; check the catalog requirements above.
Professors
Fall 2026Historical instructors & teaching patterns
Amanda Smith is described as engaging and excellent at breaking down complicated subjects, making the historically difficult course manageable. Reviewers highlight her fairness, helpfulness during office hours, and focus on underlying concepts rather than excessive difficulty.
AMANDA SMITH is recorded teaching in Spring 2022, Spring 2023, Spring 2024, Spring 2025. Recorded history may be incomplete and does not establish a future schedule.
JEFFREY LINDEROTH is recorded teaching in Fall 2007, Fall 2008, Fall 2009, Fall 2010, Spring 2011, Spring 2012, Spring 2013, Fall 2013, Fall 2015, Spring 2016, Fall 2016, Fall 2017, Fall 2018, Fall 2019, Spring 2026. 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
Fall 2026Schedule loads here as you scroll.
| Section | Mode | Enrolled / capacity | Waitlist |
|---|---|---|---|
| LEC 001 | Classroom Instruction | 66 / 56 | 3 |
| DIS 301 | Classroom Instruction | 34 / 28 | 2 |
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
Jim Luedtke provides clear lectures and detailed examples that make the material understandable. One reviewer found him rude and condescending to those lacking optimization expertise.
Recent recorded grades — Spring 2025: 3.16 GPA, 52.8% A/AB (n=53 letter grades); Fall 2025: 3.12 GPA, 32.7% A/AB (n=52 letter grades); Spring 2026: 3.18 GPA, 48.8% A/AB (n=41 letter grades).
difficulty & workload
The course is challenging, with very time-consuming case studies and hard material. Students report that the homework is relevant but requires significant effort to master the content.
Some students appreciate that Luedtke corrects mistakes in notes and exams when asked, while others report being ridiculed for asking questions.
Topics
Skills
Grades
Fall 2026 · 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.
8 earlier forecasts · 0.11 GPA average error.
Grades over time
Through Fall 2026
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
1283 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.
Selected offering source records
Operations Research-Deterministic Modeling
Recorded 2026-09-07Raw records
[
{
"run_id": "20260907T155543-ce3781c4",
"semester": "1272",
"observed_at": "2026-09-07 15:55:43.033547+00:00",
"offering_id": "1272:490:010235",
"course_id": "ISYE 323",
"course_uid": "course_2f334f3968bc9545732db707",
"term_id": "1272",
"source_course_id": "010235",
"source_subject_id": "490",
"title": "Operations Research-Deterministic Modeling",
"credits_min": 3,
"credits_max": 3,
"typically_offered": "Fall, Spring"
}
]Rate My Professors
Student reviews
Original comments behind the course and instructor summaries.
Read original reviews
Madgrades
Grade history
Recorded grade distributions by term, section, and instructor.
Explore recorded gradesModel 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": "e2157be5212d7066d09cc1736562a2c4268a48161355c49af58a55af059a8871",
"requirements_status": "valid",
"dataset_revision": "e243353dcb7d79b7247ced91d69443ef4c2a6349",
"observed_at": "2026-09-07 15:55:43.033547+00:00"
}