IE 598

Spring 2021 All Classes

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Credit: 0 TO 4 hours.

Subject offerings of new and developing areas of knowledge in industrial engineering intended to augment the existing curriculum. See Class Schedule or departmental course information for topics and prerequisites.

Approved for letter and S/U grading. May be repeated in the same or separate terms if topics vary.

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IE 598 class schedule data for spring 2021
CRN	Type	Section	Time	Day	Location	Instructor	Section Details
52238	Online Lecture	DDS	5:00PM -6:20PM	TR	n.a.	Etesami, S	Part of Term: 1 Date Range: 01/25/21-05/05/21 Credit: 4 hours Section Title: Distributed Decision Systems Section Info: The topics to be covered include models and algorithms for distributed control algorithms, Markov chains and random walks, distributed coordination algorithms such as consensus and gossip over networks, network games, diffusion and opinion dynamics over social networks, as well as quantization and synchronization phenomena in engineered systems. Restriction(s): Restricted to Graduate - Urbana-Champaign.
66173	Online Lecture	ET	6:00PM -9:00PM	R	n.a.	Lariviere, D	Part of Term: 1 Date Range: 01/25/21-05/05/21 Credit: 4 hours Section Title: Electronic Trading Section Info: Prerequisites: knowledge of at least one programming language. The purpose of this course is to explore the exciting world of Electronic and especially Ultra High Frequency Trading (HFT). Students will gain a broad exposure to the modern world of trading, financial markets, and the underlying technologies and architectures that power them. From decoding real-time market data to submitting an electronic order to buy $1,000,000,000 of stocks in a single click, students will develop a much deeper understanding into exactly how the global financial system operates, and in doing so, will also develop many new and highly in-demand technical skills. Restriction(s): Restricted to Graduate - Urbana-Champaign.
34289	Online	GT	3:30PM -4:50PM	TR	n.a.	Garg, J	Part of Term: 1 Date Range: 01/25/21-05/05/21 Credit: 4 hours Section Title: Game Theory and Fair Dvision Section Info: Course prerequisite: IE 310 or equivalent; basic knowledge of optimization, probability, and linear algebra; mathematical maturity. Course Description: The course will explore various topics at the intersection of economics and computation whose solutions have been deployed to solve a wide-range of real-life settings such as assigning medical residents to hospitals, allocating students to schools, assigning seats in courses, kidney exchange, refugee allocation, assigning public housing, airport traffic management, and so on. The course will cover the topics in foundations of game theory and fair division such as Nash equilibrium, bargaining, mechanism design, fair and efficient allocation of goods/chores, and their computation. Restriction(s): Restricted to Graduate - Urbana-Champaign.