MSE 598

Spring 2024 All Classes

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Credit: 1 TO 4 hours.

Subject offerings of new and developing areas of knowledge in materials science and 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. Approved for Letter and S/U grading. May be repeated in the same or separate terms if topics vary.

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MSE 598 class schedule data for spring 2024
CRN	Type	Section	Time	Day	Location	Instructor	Section Details
75050	Lecture	A1	12:30PM -3:50PM	R	208 Seitz Materials Research Lab	Slates, A	Part of Term: 1 Date Range: 01/16/24-05/01/24 Credit: 4 hours Section Title: Res.Writing & Communications Section Info: This is a research writing group course. During this course, you will complete an article, proposal, dissertation chapter or report, review research writing principles, review communication principles and provide and receive feedback from your peers. NOTE: Registration by PhD students only.
70522	Lecture-Discussion	DM	11:00AM -12:20PM	TR	2051 Sidney Lu Mech Engr Bldg	Schleife, A	Part of Term: 1 Date Range: 01/16/24-05/01/24 Credit: 4 hours Section Title: Intro to Digital Materials Section Info: Meets with ME 598 (48380) and CSE 498 (70543). We introduce the connection of materials and data science, and specific issues regarding experimental and computational materials data. Topics include data acquisition and management, data curation, uncertainty quantification, and applying machine learning to materials data. The focus will be on current scientific literature in the emerging materials and data area. Restriction(s): Restricted to Graduate - Urbana-Champaign.
76154	Online	DMO	ARRANGED	n.a.	n.a.	Schleife, A	Part of Term: 1 Date Range: 01/16/24-05/01/24 Special Approval: Instructor Approval Required Credit: 4 hours Section Title: Intro to Digital Materials Section Info: Meets with ME 598 (48380) and CSE 498 (70543). We introduce the connection of materials and data science, and specific issues regarding experimental and computational materials data. Topics include data acquisition and management, data curation, uncertainty quantification, and applying machine learning to materials data. The focus will be on current scientific literature in the emerging materials and data area. Restriction(s): Restricted to NDEG:Engineering UG ONL - UIUC or NDEG:Engineering GR ONL - UIUC.
75770	Lecture-Discussion	JCS	12:30PM -1:50PM	TR	2200 Sidney Lu Mech Engr Bldg	Bean, C Stinville, j	Part of Term: 1 Date Range: 01/16/24-05/01/24 Credit: 4 hours Section Title: Material Informatics Section Info: This course will provide students with an in-depth understanding of Material Informatics and Accelerated Characterization, focusing on how these advanced techniques can be used to expedite the development and deployment of new materials. Students will gain experience with various computational tools and advanced characterization techniques. Restriction(s): Restricted to Graduate - Urbana-Champaign.