Academics
2025-2026 Course Listings

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CourseCourse TitleFall 2025Winter 2026Spring 2026
DATA ENG 200Foundations of Data Science
T TH 9:30-10:50
Hu		T TH 12:30-1:50
Chan
DATA ENG 300Data Engineering Studio
T TH 12:30-1:50
Chan
(Lab: T 5:00, 6:00) 		T TH 9:30-10:50
Chan
(Lab: W 11:00, 12:00)
DSGN 106Design Thinking and Communication

TBD
Mejía
201Introduction to StatisticsTTH 9:30-10:50
Ankenman
MWF 2:00-2:50
Ankenman
295Why IE?
T TH 12:30-1:50
Mejía
302ProbabilityMWF 10:00-10:50
Gaudio
(Lab: TH 1:00, 2:00) 		MWF 10:00-10:50
Wilson
(Lab: TH 11:00, 12:00) 		M W F
Wilson
(Lab: TH 10:00, 11:00)
303StatisticsM W F 9:00-9:50
Chan
(Lab: W 2:00, 3:00) 		T TH 3:30-4:50
Chan
(Lab: W 9:00, 10:00) 		M W F 9:00-9:50
Nelson
(Lab: TH 1:00, 2:00)
304Statistical Learning for Data AnalysisM W F 2:00-2:50
Apley
(Lab: TH 9:00, 10:00) 		M W F 10:00-10:50
Chen
(Lab: F 11:00, 12:00) 		M W F 1:00-1:50
Lu
(Lab: F 2:00, 3:00)
307Quality Improvement by Experimental Design

T TH 12:30-1:50
Shi
308Data Science & Analytics
T TH 9:30-10:50
Klabjan
(Lab: M 10:00)
310Operations ResearchT TH 2:00-3:20
Singla

313Foundations of OptimizationM W F 11:00-11:50
Morton
(Lab: M 3:00, 4:00 ) 		M W F 11:00-11:50
Morton
(Lab: M 2:00, 3:00) 		12:00-12:50
Mehrotra
(Lab: M 1:00, 2:00)
315Stochastic ModelsM W F 10:00-10:50
Grosof
(Lab: F 1:00, 2:00)
M W F 10:00-10:50
Rhee
(Lab: W 5:00)
317Discrete-Event Systems Simulation
M W F 1:00-1:50
Rhee
(Lab: F 9:00, 10:00)
340Qualitative Methods in Engr SystemsT TH 12:30-1:50
Mejía
(Lab: W 5:00)

341Social Networks Analysis

T TH 6:30-7:50
TBD
(Lab: 11:00, 12:00)
342Organizational BehaviorT TH 3:30-4:50
Mejía
(Lab: W 5:00)

343Project Managment for EngineersM 5:00-7:00
Werwath

344Whole-Brain Leadership

T TH 11:00-12:20
Poll
345Negotiations and Conflict Resolution for Engineers
W 5:30-7:20
Rekoske		T TH 5:00-6:20
Mejía
351Optimization Methods in Data ScienceM W F 11:00-11:50
Nocedal
(Lab: T 10:00, 11:00)

365Analytics for Social Good
M W F 2:00-2:50
Sinclair
(Lab: TH 4:00, 5:00) 		M W F 11:00-11:50
Sinclair
373Intro to Financial Engineering

M W 3:30-4:50
Balasanov
381Supply-Chain Modeling and AnalysisTTH 2:00-3:20
Watson
(Lab: F 11:00, 12:00)

382Operations Engineering and Management
T TH 2:00-3:20
Iravani
383Service Engineering and Management

T TH 3:30-4:50
Iravani
385Introduction to Health Systems EngineeringMW 3:30-4:50
Mehrotra

394IE Client Project ChallengeT TH 5:00-6:20
Watson
M W F 5:00-6:50
Watson
395Research Thinking and Communication
M W 2:00-3:20
Wilson
395-1Machine Learning for Data Science

T TH 9:30-10:50
Z. Wang
395-2Applied Statistical Learning

T TH 9:30-10:50
Z. Wang
401Applied Mathematical StatisticsT TH 9:30-10:50
Chen

395-3Nonlinear Dynamic Optimization


402Statistical Learning
M W 9:30-10:50
Lu
404-1Predictive Analytics IMW 3:30-4:50
Apley

404-2Predictive Analytics II
T TH 2:00-3:20
Apley
407Uncertainty Quantification

M W 9:30-10:50
Lu
435Stochastic Simulation

 M W 12:30-1:50
Rhee
440AI in Manufacturing: Data Analytics
T TH 3:30-4:50
Shi
441Social Network AnalysisF 2:00-4:50
Contractor

450-1Mathematical Optimization IM W 9:30-10:50
Mehrotra

450-2Mathematical Optimization II
T TH 12:30-1:50
Wei
454Large-Scale Optimization
M W 12:30-1:50
Morton
456Distributed Optimization


459Convex Optimization

T TH 12:30-1:50
Nocedal
460-1Stochastic Processes I
M W 2:00-3:20
Grosof
460-2Stochastic Processes II

M 3:45-6:35
Bassamboo
464Advanced Queueing
M W 11:00-12:20
Grosof
469Advanced Algorithms for Machine LearningT TH 3:30-4:50
Klabjan

482Operations
T TH 9:30-10:50
Iravani
486Introduction to Smart Grid Systems

T TH 2:00-3:20
Wei
488Economics of Decision Analysis

M W 2:00-3:20
Sinclair
490Modern Discrete Probability


490Adv Topics in Large Foundation Models


490Computational Social Science

M 3:30-6:20
D. Wang
490Advanced Topics in Large Foundation Models

T TH 5:00-6:20
Z. Wang
490Deep Generative AiM W 3:30-4:50
Chen

490Theory and Algorithms for LLMs
T TH 12:30-1:50
Klabjan