SE 598

Spring 2023 All Classes

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Credit: 1 TO 4 hours.

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

1 to 4 graduate hours. No professional credit. May be repeated in the same or separate terms if topics vary to a maximum of 12 hours.

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SE 598 class schedule data for spring 2023
	CRN	Type	Section	Time	Day	Location	Instructor	Section Details
	75214	Lecture-Discussion	DDM	3:30PM -4:50PM	TR	206 Transportation Building	Wang, P	Part of Term: 1 Date Range: 01/17/23-05/03/23 Credit: 4 hours Section Title: Data-driven Design Methods Section Info: Engineering systems design relies on quantitative and qualitative data to describe design-related engineering phenomena and prescribe improvements for design practice. Data-driven design refers to making engineering design decisions based on data. While using data-driven design framework, data is of primary importance. Moreover, advanced computational methods that create mathematical models and develop computer tools based upon data, as shown in the figure below, for effective design space exploration and decision making, are critical for engineering design. In this course, we will explore advanced computational methods for data-driven design, including engineering design and optimization, system modeling and simulation, probabilistic design, uncertainty quantification, advanced sampling and analysis of physical experiments, physics-informed machine learning, as well as multi-fidelity approaches for design. Engineering design applications in structures, energy storage systems, power systems, engineering materials, and design for additive manufacturing will be used as design case studies in this course. Restriction(s): Restricted to Graduate - Urbana-Champaign.