SE 598

Spring 2025 All Classes

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.

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 2025
CRN	Type	Section	Time	Day	Location	Instructor	Section Details
76209	Lecture-Discussion	B	1:00PM -3:50PM	W	206 Transportation Building	Cao, C	Part of Term: 1 Date Range: 01/21/25-05/07/25 Credit: 4 hours Section Title: Research Methods in HFE Section Info: Human factors engineers must make many choices when confronted with a research problem. This holds true for problems presented in applied settings as well as theory-generating problems. This course will discuss various methodologies for conducting human participant experiments and then put that knowledge into practice. The three main objectives for this course are as follows: 1. Understand the methodologies available for conducting research involving human participants 2. Understand how to design and conduct experiments (collect and analyze data) 3. Understand how to communicate research findings (both written and orally) Restriction(s): Restricted to Graduate - Urbana-Champaign.
75214	Lecture-Discussion	DDM	3:30PM -4:50PM	TR	214 Ceramics Building	Wang, P	Part of Term: 1 Date Range: 01/21/25-05/07/25 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.
68320	Lecture-Discussion	MG	11:00AM -11:50AM	W	Location Pending	Goldstein, M	Part of Term: 1 Date Range: 01/21/25-05/07/25 Credit: 1 hours Section Title: Generative Design Seminar Section Info: Prerequisites: • Introductory design course with CAD (e.g. SE101, ME170) • Capstone design (e.g. SE494, ME470) Computer-aided design (CAD) is a standard design tool used in engineering practice and by students, and advanced design techniques are now regularly available in CAD programs. One such design technique, Generative design (GD), is an iterative design exploration process “that leverages the power of computationally driven artificial intelligence to automatically explore a wide design space in order to identify the best design options”. This course provides a graduate-level introduction into the field of generative design. The one- hour seminar will focus on empirical studies and conceptual frameworks about generative design, hands-on labs, written reflections, and group discussions. The four-hour project version of the class will build on the seminar but will also include two large course projects that will require the student to synthesize, evaluate, and put into action course ideas. Restriction(s): Restricted to Graduate - Urbana-Champaign.
68323	Lecture-Discussion	MG2	11:00AM -12:00PM	W	Location Pending	Goldstein, M	Part of Term: 1 Date Range: 01/21/25-05/07/25 Credit: 4 hours Section Title: Advancements in Generative Des Section Info: Prerequisites: • Introductory design course with CAD (e.g. SE101, ME170) • Capstone design (e.g. SE494, ME470) Computer-aided design (CAD) is a standard design tool used in engineering practice and by students, and advanced design techniques are now regularly available in CAD programs. One such design technique, Generative design (GD), is an iterative design exploration process “that leverages the power of computationally driven artificial intelligence to automatically explore a wide design space in order to identify the best design options”. This course provides a graduate-level introduction into the field of generative design. The one- hour seminar will focus on empirical studies and conceptual frameworks about generative design, hands-on labs, written reflections, and group discussions. The four-hour project version of the class will build on the seminar but will also include two large course projects that will require the student to synthesize, evaluate, and put into action course ideas. Restriction(s): Restricted to Graduate - Urbana-Champaign.