ECE 598

Spring 2024 All Classes

All Classes

Special Topics in ECE

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Credit: 0 TO 4 hours.

Subject offerings of new and developing areas of knowledge in electrical and computer 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.

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ECE 598 class schedule data for spring 2024
CRN	Type	Section	Time	Day	Location	Instructor	Section Details
69476	Laboratory Packaged Section	AB AB	11:00AM -12:50PM 11:00AM -12:30PM	M TR	4024 Electrical & Computer Eng Bldg 3013 Electrical & Computer Eng Bldg	Banerjee, A Maheshwari, A Banerjee, A Maheshwari, A	Part of Term: 1 Date Range: 01/16/24-05/01/24 Credit: 4 hours Section Title: Power-Elec Conv & Control Section Info: Power-Electronic Converter and Control for Electric Machines: Theory and Practice This course will introduce modeling, analysis, and design of electromechanical energy conversion systems from a simultaneous perspective of power electronics, electromechanics, and control. We will take a hands-on approach. Theories will be discussed in lectures and will be implemented in real-world laboratory setups. Three-phase power-electronic converters will be introduced that are specifically designed for machine drives. Dynamic models of different types of electrical machines will be developed using generalized theory of machines. Finally, different control architectures and their impact on the dynamic performance of the drive will be discussed. “Real-world” examples from many existing and emerging applications including electric vehicles, renewable energy systems, and high-power and high-performance industrial drives will be used to show the need for interdisciplinary understanding from a system perspective. Prerequisites: ECE 464 (Power Electronics) and ECE 431 (Electric Machinery). ECE 486 is preferred.
52220	Lecture-Discussion	DI	11:00AM -12:20PM	TR	2074 Electrical & Computer Eng Bldg	Borisov, N	Part of Term: 1 Date Range: 01/16/24-05/01/24 Credit: 4 hours Section Title: Digital Identity Section Info: This course will cover how identity is established and used online. It will discuss how names and other identifiers are translated to cryptographic keys used in authentication; how identity proxies, including cookies and IP addresses, are used in advertising and abuse prevention; and how privacy preserving techniques can be used to shield important identifying information online. Prerequisites: ECE 422/CS 461 or ECE 407/CS407. Restriction(s): Restricted to Graduate - Urbana-Champaign.
63778	Lecture	JK	2:00PM -3:20PM	TR	3015 Electrical & Computer Eng Bldg	Kim, J	Part of Term: 1 Date Range: 01/16/24-05/01/24 Credit: 4 hours Section Title: Intro to Humanoid Robotics Section Info: The goal of this course is to introduce students to knowledge and advanced research topics in humanoid robotics and legged locomotion area. In the first 4 weeks, the lectures will cover basic knowledge including humanoid systems, kinematics, and simple models. In the 5th and 6th weeks, a toy-size robot and simulation tools will be introduced for assignments and the final project. Starting at week 7, students will learn about legged locomotion and how to design legged locomotion controllers for 5 weeks. In the 11th and 12th weeks, we will discuss methods to capture human motions and students will capture their motions using motion capture devices. Also, the lectures will cover how to retarget the captured motions (or other data from user interface) to actual robots. Students will be asked to submit a proposal for the final project using the assigned robot or simulation tools in the 9th week, and the final project presentations will be in the 15th week. Successful projects may be run on a real, human-sized robot, THORMANG. Prerequisite: One of the following courses: ECE 470 (Introduction to Robotics, ME 445, AE 482) or ECE 489 (Robot Dynamics and Control, ME 446, GE 422). Restriction(s): Restricted to Graduate - Urbana-Champaign.
76122	Lecture	LV2	11:00AM -12:20PM	TR	3017 Electrical & Computer Eng Bldg	Varshney, L	Part of Term: 1 Date Range: 01/16/24-05/01/24 Credit: 4 hours Section Title: Representation of Information Section Info: Learning representations are critical in many branches of artificial intelligence, especially in recent applications of generative AI. At the same time, there are several information-theoretic principles that are foundational to representation of information. This course covers relevant information-theoretic topics in multiterminal source coding, multiterminal channel coding, universal prediction, and associative memories, as well as mathematical and computational foundations of learning representations arising in generative AI models that include variational autoencoders, autoregressive models such as Transformers, normalizing flow models, information lattice learning, invariant risk minimization, and diffusion models. Emerging connections between information theory and AI will be discussed throughout. Governance and social responsibility in generative AI will also be briefly discussed. Prerequisites: ECE 544, ECE 563, or permission of instructor.
48773	Lecture	ZP	9:30AM -10:50AM	TR	3017 Electrical & Computer Eng Bldg	Peng, Z	Part of Term: 1 Date Range: 01/16/24-05/01/24 Credit: 4 hours Section Title: Wave Physics in Wireless Comm Section Info: Wave Physics in Wireless Communication. Prerequisite: ECE 520 or consent of instructor Restriction(s): Restricted to Graduate - Urbana-Champaign.