Queueing Networks: Models, Algorithms and Emerging Applications (OPNS-522-0)
1.00 Credit
TCE BidStats

Description:
This course aims to expose students to advanced methods in stochastic analysis and develop a toolbox of probabilistic analytical techniques. To focus the discussion, the course will be centered around queueing networks, which serve as building blocks in many modeling applications. Topics covered include fundamental queueing models, fluid and diffusion processes, limit theorems and approximations, and stochastic control. To discuss the algorithmic/computational elements of stochastic control, we will touch on approximate dynamic programming and explore how it is used in the control of queueing networks.

Prerequisites:
None

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Academic Year Term   Session Course ID Title Sec ID   Credits Syl Instructor Times Campus Location Mand 1st Exam
2020-2021 Spring 2021 10 Weeks OPNS-522-0 Queueing Networks: Models, Algorithms and Emerging Applications 21 1 Braverman, Anton Fri 03/30/2021-06/05/2021 10:30 AM - 12:00 PM
Thu 03/30/2021-06/05/2021 6:00 PM - 7:30 PM
Evanston N/A (Room TBA) N