ECE 598

Spring 2025 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 2025
CRN	Type	Section	Time	Day	Location	Instructor	Section Details
39363	Lecture	AS	11:00AM -12:20PM	TR	3017 Electrical & Computer Eng Bldg	Stillwell, A	Part of Term: 1 Date Range: 01/21/25-05/07/25 Credit: 4 hours Section Title: Advanced Power Electronics Section Info: Power electronics are a key enabling technology in renewable distributed energy resources in the electricity grid, vehicle electrification, mobile devices, low-power Internet of Things devices, and data centers. This course covers advanced topics in power electronics, including converter topologies, soft-switching and resonant converters, inductor and transformer design, and hybrid switched capacitor topologies. Application examples from solar, electric machine drives, and power-supply on a chip will be provided to motivate each topic. Prerequisites: ECE 464 or equivalent. Restriction(s): Restricted to Graduate - Urbana-Champaign.
77374	Lecture	CS	2:00PM -3:20PM	TR	2017 Electrical & Computer Eng Bldg	Shultz, C	Part of Term: 1 Date Range: 01/21/25-05/07/25 Credit: 4 hours Section Title: Interactive Haptic Systems
77472	Lecture	DP	9:00AM -10:20AM	TR	2013 Electrical & Computer Eng Bldg	Luo, N	Part of Term: 1 Date Range: 01/21/25-05/07/25 Credit: 4 hours Section Title: Deploying Privacy Section Info: This course provides an in-depth exploration of privacy-enhancing technologies (PETs), from theoretical foundations to their practical deployment in real-world applications. Students will study advanced cryptographic protocols such as secure multi-party computation, oblivious transfer, ORAM, and zero-knowledge proofs and their implementations in frameworks like MP-SPDZ and ObliVM. The course emphasizes developing efficient, safe systems and using formal verification techniques to analyze their security and improve their scalability. Throughout the course, students will gain hands-on experience with tools and programming frameworks designed for PETs while exploring emerging research in private information retrieval, searchable encryption, and secure enclaves. By the end of the course, students will be equipped to design, analyze, and implement privacy-preserving solutions. Prerequisites suggested (but not required): Security, Cryptography, Programming Language, Formal Methods, and Automated Reasoning. Restriction(s): Restricted to Graduate - Urbana-Champaign.
77369	Lecture	JK1	2:00PM -3:20PM	TR	3013 Electrical & Computer Eng Bldg	Kim, J	Part of Term: 1 Date Range: 01/21/25-05/07/25 Credit: 4 hours Section Title: Intro to Humanoid Robotics
77571	Lecture	MA	3:30PM -4:50PM	TR	3013 Electrical & Computer Eng Bldg	Ahmed, M	Part of Term: 1 Date Range: 01/21/25-05/07/25 Credit: 4 hours Section Title: Adv. RF & mm-wave IC Design Section Info: This course provides an in-depth exploration of advanced techniques in the design and analysis of RF and mm-wave integrated circuits (ICs) for modern communication and sensing applications. Topics include RF and mm-wave transceivers system analysis, beamforming transceivers architecture, and two-port network gain, noise, and stability analysis. Students will study and design key advanced RF building blocks such as noise-canceling low-noise amplifiers (LNAs), RF variable gain amplifiers, phase shifters, and power amplifiers. Advanced concepts of mm-wave frequency generation using RF frequency multipliers and LC phase locked loops (PLLs) will also be covered. The course emphasizes practical design methodologies using industry-standard EDA tools, electromagnetic simulation, and system-level verification. Students will apply these techniques through hands-on projects to develop functional RF/mm-wave circuit designs targeting real-world applications such as wireless communication, automotive radar, and IoT. Building upon the radio-frequency IC design skills learned from ECE 498 MA2 “Radio-Frequency IC Design," this new course provides an in-depth exploration of advanced techniques in the design and analysis of RF and mm-wave integrated circuits (ICs) that operate at much higher frequencies. Prerequisites: ECE 498 MA2 “Radio-Frequency IC Design” Restriction(s): Restricted to Undergrad - Urbana-Champaign.
77572	Lecture	MA2	3:30PM -4:50PM	TR	3013 Electrical & Computer Eng Bldg	Ahmed, M	Part of Term: 1 Date Range: 01/21/25-05/07/25 Credit: 4 hours Section Title: Adv. RF & mm-wave IC Design Section Info: This course provides an in-depth exploration of advanced techniques in the design and analysis of RF and mm-wave integrated circuits (ICs) for modern communication and sensing applications. Topics include RF and mm-wave transceivers system analysis, beamforming transceivers architecture, and two-port network gain, noise, and stability analysis. Students will study and design key advanced RF building blocks such as noise-canceling low-noise amplifiers (LNAs), RF variable gain amplifiers, phase shifters, and power amplifiers. Advanced concepts of mm-wave frequency generation using RF frequency multipliers and LC phase locked loops (PLLs) will also be covered. The course emphasizes practical design methodologies using industry-standard EDA tools, electromagnetic simulation, and system-level verification. Students will apply these techniques through hands-on projects to develop functional RF/mm-wave circuit designs targeting real-world applications such as wireless communication, automotive radar, and IoT. Building upon the radio-frequency IC design skills learned from ECE 498 MA2 “Radio-Frequency IC Design," this new course provides an in-depth exploration of advanced techniques in the design and analysis of RF and mm-wave integrated circuits (ICs) that operate at much higher frequencies. Prerequisites: ECE 498 MA2 “Radio-Frequency IC Design” Restriction(s): Restricted to Graduate - Urbana-Champaign.
77373	Lecture	MCI	12:30PM -1:50PM	TR	2015 Electrical & Computer Eng Bldg	Agarwal, S	Part of Term: 1 Date Range: 01/21/25-05/07/25 Credit: 4 hours Section Title: Modern Cloud Infrastructure Section Info: This course explores the intersection of computer networking, operating systems (OS), and computer architecture in the context of modern datacenters enabling cloud computing. Topics include: datacenter network topologies, transport protocols, programmable networks and optical networking; OS components like network stacks, storage stacks, CPU schedulers and memory management; and hardware architecture of processors, memory, peripherals and interconnects. Emphasis on understanding how interaction between network protocols, OS stacks and hardware components impacts end-to-end application performance.
70827	Lecture	PD	2:00PM -3:20PM	TR	2015 Electrical & Computer Eng Bldg	Dragic, P	Part of Term: 1 Date Range: 01/21/25-05/07/25 Credit: 4 hours Section Title: Fiber Photonics Section Info: This course will not focus on the transmission of signals, as in telecommunications systems, but rather on harnessing the light-matter interactions that enable the generation, manipulation, and control of light with fiber. Topics range from mode theory, propagation, and fiber design, to fiber-based sensors and high power fiber laser systems. Prerequisites: Credit or concurrent enrollment in ECE 520, plus one of ECE 455 or 495 or ECE 572 or equivalent.
44223	Lecture	SG1	12:30PM -1:50PM	TR	3020 Electrical & Computer Eng Bldg	Gupta, S	Part of Term: 1 Date Range: 01/21/25-05/07/25 Credit: 4 hours Section Title: Robot Learning Section Info: Recent developments in learning-based robotics. The course starts with an overview of background from relevant subfields: computer vision, machine learning, robotics and control theory. Next, we discuss advanced techniques for learning policies for robots, such as model-free reinforcement learning with function approximators, model learning, model-based RL with learned models, imitation learning, inverse reinforcement learning, self-supervised learning, exploration, and hierarchical reinforcement learning. The course will conclude with case-studies on robotic navigation, and manipulation from recent papers. Restriction(s): Restricted to Computer Engineering or Electrical Engineering or Electrical & Computer Engr major(s). Restricted to Graduate - Urbana-Champaign. Not intended for MENG:Elec & Comp Eng ONL -UIUC or MCS: Computer Sci OFF - UIUC.