IE 498

Fall 2026 Part of Term 1

Part of Term 1
Aug 24-Dec 9

Special Topics

Credit: 1 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.

1 to 4 undergraduate hours. 1 to 4 graduate hours. May be repeated in the same or separate terms if topics vary to a maximum of 9 hours.

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IE 498 class schedule data for fall 2026
	Status		CRN	Type	Section	Time	Day	Location	Instructor	Section Details
			70464	Lecture	AI1	2:00PM -3:20PM	TR	Location Pending	Ray Chaudhury, B Xu, Y	Availability: CrossListOpen (Restricted) Part of Term: 1 Date Range: 08/24/26-12/09/26 Credit: 3 hours Section Title: AI, Markets, and Game Theory Section Info: Prerequisite: IE 300 or equivalent probability and statistics course; IE 310 or equivalent optimization course; MATH 257 or equivalent linear algebra course. Description: Explores the intersection of artificial intelligence and game theory with applications to markets and multi-agent systems. Covers fundamentals of AI and game theory, then examines three critical intersections: (1) AI for Game Solving—scalable methods for equilibrium computation and solving large-scale imperfect-information games; (2) AI in Markets—how learning algorithms create economic value, with applications to recommendation systems; and (3) Game Theory for Multi-Agent AI—how strategic incentives and mechanism design can improve the safety, robustness, and efficiency of autonomous systems, including the detection and prevention of algorithmic collusion. Restriction(s): Restricted to Civil Engineering or Computer Engineering or Computer Science or Electrical Engineering or Engineering Mechanics or Engineering Physics or Industrial Engineering or Materials Science & Engr or Mechanical Engineering or Chemical Engineering or Applied Mathematics or Statistics or Bioengineering or Mathematics or Actuarial Mathematics or Aerospace Engineering or Agricultural & Biological Engr or Nuclear, Plasma, Radiolgc Engr or Systems Engineering and Design major(s). Restricted to students with Junior or Senior class standing.
			70465	Lecture	AI2	2:00PM -3:20PM	TR	Location Pending	Ray Chaudhury, B Xu, Y	Availability: CrossListOpen (Restricted) Part of Term: 1 Date Range: 08/24/26-12/09/26 Credit: 4 hours Section Title: AI, Markets, and Game Theory Section Info: Prerequisite: IE 300 or equivalent probability and statistics course; IE 310 or equivalent optimization course; MATH 257 or equivalent linear algebra course. Description: Explores the intersection of artificial intelligence and game theory with applications to markets and multi-agent systems. Covers fundamentals of AI and game theory, then examines three critical intersections: (1) AI for Game Solving—scalable methods for equilibrium computation and solving large-scale imperfect-information games; (2) AI in Markets—how learning algorithms create economic value, with applications to recommendation systems; and (3) Game Theory for Multi-Agent AI—how strategic incentives and mechanism design can improve the safety, robustness, and efficiency of autonomous systems, including the detection and prevention of algorithmic collusion. Restriction(s): Restricted to Graduate - Urbana-Champaign. Not intended for NDEG:Graduate OR - UIUC.