AE 598

Fall 2023 All Classes

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Credit: 1 TO 4 hours.

Subject offerings of new and developing areas of knowledge in aerospace engineering intended to augment existing formal courses. Topics and prerequisites vary for each section. See Class Schedule or departmental course information for both.

May be repeated in the same or separate terms if topics vary to a maximum of 12 hours.

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AE 598 class schedule data for fall 2023
CRN	Type	Section	Time	Day	Location	Instructor	Section Details
70952	Online	LMO	ARRANGED	n.a.	n.a.	Zahedi Mehr, N	Part of Term: 1 Date Range: 08/21/23-12/06/23 Credit: 4 hours Section Title: Learn/Control Multi-Agent Sys Section Info: Title: Learning and Control for Multi-Agent Systems In order for autonomous systems to become prevalent and integrated into the human life, robots need to interact with various intelligent agents including humans and other autonomous systems. In other words, robots need to perform in multi-agent settings. Our goal in this course is to discuss algorithms that allow autonomous systems to successfully operate in multi-agent scenarios including both cooperative and non-cooperative settings. This course is a graduate level course where we will study concepts and algorithms in control theory, game theory, and machine learning that have led to major progress in the state-of-the-art multi-agent robotic systems. Students will develop skills in evaluating research papers and are expected to conduct a final research project. 4 credit hours. Restricted to online non-degree, online MCS, online MSME, online MSCEE, and online MSAE students. For more details on this course section, please see http://engineering.illinois.edu/online/courses/. Non-Degree students may enroll on a space-available basis with consent of Program Coordinator, Jenna Russell (jennar@illinois.edu). Restriction(s): Restricted to MS: Civil Engr - Online - UIUC, MS:Industrial Engr Online-UIUC, MS:Mechanical Engineerng -UIUC, MS:Env Engr CivilEngr ONL-UIUC, NDEG:Engineering GR ONL - UIUC, MS: Aerospace Engr-Online-UIUC, MENG:Engr:Energy Sys Onl-UIUC, MENG:Mech Engineering Onl-UIUC, MENG:Elec & Comp Eng ONL -UIUC, or MENG:Engr:AeroSys Online- UIUC.
73747	Lecture-Discussion	LMS	2:00PM -3:20PM	MW	410C1 Engineering Hall	Zahedi Mehr, N	Part of Term: 1 Date Range: 08/21/23-12/06/23 Credit: 4 hours Section Title: Learn/Control Multi-Agent Sys Section Info: Title: Learning and Control for Multi-Agent Systems In order for autonomous systems to become prevalent and integrated into the human life, robots need to interact with various intelligent agents including humans and other autonomous systems. In other words, robots need to perform in multi-agent settings. Our goal in this course is to discuss algorithms that allow autonomous systems to successfully operate in multi-agent scenarios including both cooperative and non-cooperative settings. This course is a graduate level course where we will study concepts and algorithms in control theory, game theory, and machine learning that have led to major progress in the state-of-the-art multi-agent robotic systems. Students will develop skills in evaluating research papers and are expected to conduct a final research project. 4 credit hours
78166	Lecture	MAF	3:00PM -3:50PM	MWF	403B2 Engineering Hall	Goza, A	Part of Term: 1 Date Range: 08/21/23-12/06/23 Credit: 4 hours Section Title: Modal Analysis of Fluid Flow Section Info: Students in this course will learn to apply modal analysis techniques to represent multi-scale velocity data. Topics covered include proper orthogonal decomposition (POD), dynamic mode decomposition (DMD), and spectral proper orthogonal decomposition (SPOD), in addition to analytical techniques including stability theory and resolvent analysis. Students will learn the fundamentals behind these techniques and will apply them to fluid dynamics data sets to build reduced-order models and gain insight into the physics of the flow. The term project will culminate in the writing of a conference-style paper that students can choose to submit for publication.
70953	Online	MAO	ARRANGED	n.a.	n.a.	Goza, A	Part of Term: 1 Date Range: 08/21/23-12/06/23 Credit: 4 hours Section Title: Modal Analysis of Fluid Flow Section Info: Students in this course will learn to apply modal analysis techniques to represent multi-scale velocity data. Topics covered include proper orthogonal decomposition (POD), dynamic mode decomposition (DMD), and spectral proper orthogonal decomposition (SPOD), in addition to analytical techniques including stability theory and resolvent analysis. Students will learn the fundamentals behind these techniques and will apply them to fluid dynamics data sets to build reduced-order models and gain insight into the physics of the flow. The term project will culminate in the writing of a conference-style paper that students can choose to submit for publication. Restricted to online non-degree, online MCS, online MSME, online MSCEE, and online MSAE students. For more details on this course section, please see http://engineering.illinois.edu/online/courses/. Non-Degree students may enroll on a space-available basis with consent of Program Coordinator, Jenna Russell (jennar@illinois.edu). Restriction(s): Restricted to MS: Civil Engr - Online - UIUC, MS:Industrial Engr Online-UIUC, MS:Mechanical Engineerng -UIUC, MS:Env Engr CivilEngr ONL-UIUC, NDEG:Engineering GR ONL - UIUC, MS: Aerospace Engr-Online-UIUC, MENG:Engr:Energy Sys Onl-UIUC, MENG:Mech Engineering Onl-UIUC, MENG:Elec & Comp Eng ONL -UIUC, or MENG:Engr:AeroSys Online- UIUC.