Explore courses Spring 2027 Easiest courses↗ Hardest courses↗ All departments Spring 2027 Recorded offerings Tags Course details Schedule Grades Instructor 1active filters Instructor: Jim Luedtke Clear filters Covers stochastic programming for decision making under uncertainty, including modeling, risk measures, algorithms, and sampling methods.
Offering recorded · Spring 2027 · Sources
Past student reviews · Jim Luedtke
Jim Luedtke delivered well-structured lectures that balanced applications and math. His assignments helped students understand class material, and one student highly recommended the course.[1] Sources
3 . 7 4 3.74 historical GPA · 4 0 40 grades
Fall 2023–Spring 2025 · limited sample Advanced Optimization Modeling covers translating problems into optimization models and implementing them in software, focusing on discrete decisions and uncertainty.
Offering recorded · Spring 2027 · Sources
No recorded grade history
Highly rated instructor
Advanced independent study in industrial engineering conducted under faculty supervision to support graduate-level research.
Offering recorded · Spring 2027 · Sources
3 . 9 6 3.96 historical GPA · 7 9 79 grades
Fall 2023–Spring 2026 · limited sample Master's Research and Thesis involves directed Master's-level research projects arranged with the instructor.
Offering recorded · Spring 2027 · Sources
No recorded grade history
Pre-Dissertator's Research involves directed PhD-level research projects arranged with a faculty advisor.
Offering recorded · Spring 2027 · Sources
No recorded grade history
Directed PhD-level research projects in industrial engineering, arranged with a faculty advisor for thesis work.
Offering recorded · Spring 2027 · Sources
No recorded grade history
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