IE 598

Spring 2025 All Classes

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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.

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 2025
	CRN	Type	Section	Time	Day	Location	Instructor	Section Details
	75179	Lecture	LF	2:30PM -3:50PM	M	Siebel Center for Comp Sci	Feng, L	Part of Term: 1 Date Range: 01/21/25-05/07/25 Credit: 4 hours Section Info: Financial Engineering Projects: This course is based on real life financial engineering projects. Each team of 3-5 students works on a semester long project by implementing proposed models and methods for a chosen financial engineering problem, writing a summary report, and presenting their findings. Restriction(s): Restricted to Financial Engineering major(s).
	47494	Lecture	OU	2:00PM -3:20PM	TR	Transportation Building	Hanasusanto, G	Part of Term: 1 Date Range: 01/21/25-05/07/25 Credit: 4 hours Section Title: Optimization Under Uncertainty Section Info: Prerequisites: IE 411, IE 511, and MATH 464 or equivalent. Description: A wide variety of decision-making problems in engineering, science, and economics involve uncertain parameters whose values are unknown to the decision maker when the decisions are made. The underlying uncertainty of these problems may arise from incomplete data, measurement errors, or the inherently stochastic nature of the respective problems. Ignoring this uncertainty can lead to inferior solutions that perform poorly in practice. The goal of this course is to introduce optimization models and methodologies that address uncertainty-affected decision problems. The course will introduce fundamental techniques from stochastic programming, robust optimization, and distributionally robust optimization. The theory will be motivated through concrete examples from production planning, supply chain management, project management, portfolio selection, and machine learning. Restriction(s): Restricted to Graduate - Urbana-Champaign.