ISyE Announces Fall 2020 Graduate Courses in Optimization, Stochastic Processes, and Game Theory
The Department of Industrial and Systems Engineering announced its full slate of graduate courses for the fall 2020 semester. Among the scheduled graduate courses are offerings that focus on Optimization, Stochastic Processes, and Game Theory:
- IE 5531—Engineering Optimization I
- IE 8521—Optimization
- IE 8534—Advanced Topics in Optimization for Machine Learning
- IE 5532—Stochastic Models
- IE 8532—Stochastic Processes and Queueing Systems
- IE 8534—Advanced Topics: Games and Mechanisms: Engineering Applications in Online Marketplaces
These courses are aimed at students in engineering, mathematics, statistics, computer science, business, and other areas who are interested in using operations research and analytics in their careers, or who need expertise in these areas for their thesis or dissertation research. More information about the courses can be found in ISyE's Fall 2020 Optimization Course Flyer and Fall 2020 Stochastic Processes and Game Theory Course Flyer.
Students interested in Optimization, Stochastic Processes, and Game Theory may also be interested in courses in Data Analytics and Machine Learning. Information about ISyE's graduate offerings in these areas can be found in the Fall 2020 Data Analytics and Machine Learning Course Flyer.
To see the complete schedule of ISyE graduate courses for Fall 2020, please visit our list of Fall 2020 Graduate Courses.