MGT 7108 Optimization and Modeling
3 units
Management
Telfer School of Management
This course is designed for students who have already taken courses in optimization and wish to delve deeper. The course will balance providing the theory behind optimization and providing an introduction into methodologies dealing with stochastic, real-world, large scale problems (e.g., decomposition techniques). Topics covered will include convex optimization, stochastic programming, dynamic programming, robust optimization, metaheuristics and machine learning techniques.
Components:
Lecture
Previously Offered Terms:
Winter
Organized
14 responses
4.50
/ 5
Clear Expectations
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4.57
/ 5
Learned a Lot
14 responses
4.14
/ 5
Fair Assessments
14 responses