SYSEN 6680
Last Updated
- Schedule of Classes - March 17, 2025 8:55AM EDT
Classes
SYSEN 6680
Course Description
Course information provided by the 2025-2026 Catalog.
Covers the basic models and solution approaches for individual and team decision-making problems under uncertainty and provide a unified mathematical treatment of the subject, suitable for a broad engineering audience. The material will consider optimal decision-making of systems over a finite- and an infinite-time horizon. Topics include: (1) Stochastic optimization: finite- and infinite-horizon problems with complete or partial state information, separation principle, dual control; (2) Team Theory: mathematical framework of cooperating members in which all members have the same objective yet different information; (3) Reinforcement learning: approximate dynamic programming, forward references to the approximate dynamic programming formalism, learning policies.
Enrollment Priority REF-FA25 Primarily for: graduate students.
Last 4 terms offered (None)
Regular Academic Session. Combined with: CEE 6680, SYSEN 5680
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Credits and Grading Basis
3 Credits Graded(Letter grades only)
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Class Number & Section Details
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Meeting Pattern
- MW
- Aug 25 - Dec 8, 2025
Instructors
Malikopoulos, A
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Additional Information
Instruction Mode: In Person
Enrollment limited to: graduate students; undergraduates by permission of department. To request a permission number, contact Nicholas Wagner (nw346).
Regular Academic Session. Combined with: CEE 6680, SYSEN 5680
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Credits and Grading Basis
3 Credits Graded(Letter grades only)
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