[su_tab title = “Description”]
Students taking this online course, will learn to specify and implement optimization models that solve network problems (what is the shortest path through a network, what is the least cost way to route material through a network with multiple supply nodes and multiple demand nodes). Students will also learn how to solve Integer Programming (IP) problems (constrained optimization problems except with one or more decision variable constrained to be an integer: e.g. a firm setting up a wi-fi hotspot could use 2 routers or 3 routers, but not 2.5 routers), and Nonlinear Programming (NLP) problems (where the objective function and constraints are not linear functions of the decision variables. Students will use spreadsheet-based software to specify and implement models.
[su_tab title = “Program Structure”]
- Week 1: Network Flow Problems
- Week 2: Integer Linear Programming
- Week 3: Multiple goals
- Week 4: Nonlinear Programming (NLP)
September 25, 2015 to October 23, 2015
About 15 hours per week, at times of your choosing.
INR 37,740 (assuming $ = INR 60)
Part Time/Full Time:
[su_tab title = “Eligibility”]
Business analysts with responsibility for specifying, creating, deploying or interpreting quantitative decision models. Users of optimization software who need to attain a more solid grounding in network optimization, integer programming, non-convex optimization, and multi-criteria optimization.
[su_tab title =”Tools”]
[su_tab title = “Faculty”]
- Cliff Ragsdale
[su_tab title = “Contact”]