IE 1086 & 2086: Decision Models

Course Information

Instructor Daniel Jiang (, 1002 Benedum Hall)
Time/Space Tuesday/Thursday 9:30-10:45am, Benedum 1045
Office Hour Tuesday 11:00-12:00pm, Benedum 1002
Description Decision making is the key in understanding a variety of problems in industry, including inventory control, revenue management, pricing, energy, healthcare, logistics, and finance. In this course, we focus on stochastic decision models (i.e., "decision making under uncertainty") and discuss the fundamental methodology/models in conjunction with applications to real world problems. Students should have a basic understanding of probability and optimization (linear programming).
Textbooks Lecture slides provided on Blackboard/Courseweb. Some sections of the following textbooks (not required) will be used.
  1. Bertsimas & Freund, Data, Models, and Decisions.
  2. Nahmias & Olsen, Production and Operations Analysis.
Grading Problem Sets 25%, Midterms 20%/20%, Project/Final 35%.
Activity Ride-Sharing Analytics Game! See the description and data for more information.