ECE 598

Fall 2022 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 fall 2022
CRN	Type	Section	Time	Day	Location	Instructor	Section Details
51575	Lecture	BC	12:30PM -1:50PM	TR	3013 Electrical & Computer Eng Bldg	Cunningham, B	Part of Term: 1 Date Range: 08/22/22-12/07/22 Credit: 4 hours Section Title: Advanced Biosensors Section Info: Fundamental principles at the intersection of engineering, biology, and data science that are pushing the forefront of biosensor technology used for diagnostics and life science research. Prerequisite: ECE/BIOE 416 (Biosensors) Restriction(s): Restricted to Graduate - Urbana-Champaign.
72474	Lecture	HPN	12:00PM -1:20PM	WF	3020 Electrical & Computer Eng Bldg	Mittal, R	Part of Term: 1 Date Range: 08/22/22-12/07/22 Credit: 4 hours Section Title: High-Speed/Progrmable Networks Section Info: The ever-increasing demand for higher performance, new functionality, and flexibility has given rise to radical new designs for networking infrastructure, that not only unleash exciting new opportunities, but also challenge conventional wisdom. The goal of this course is to introduce students to such recent research and industrial advancements in networking. In each lecture, we will discuss one or two recent papers that propose (or use) unconventional new designs for network stack, network interface cards, or switches. The papers are systems oriented, focusing on practical challenges associated with designing and implementing such network systems, and cover latest topics such as programmable switches, kernel-bypass networking, RDMA, and smart NICs. Prerequisites : ECE/CS 438 (Communication Networks).
56132	Lecture	JK	2:00PM -3:20PM	TR	2074 Electrical & Computer Eng Bldg	Kim, J	Part of Term: 1 Date Range: 08/22/22-12/07/22 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.
47508	Lecture	JZ	11:00AM -12:20PM	TR	3020 Electrical & Computer Eng Bldg	Zhou, J	Part of Term: 1 Date Range: 08/22/22-12/07/22 Credit: 4 hours Section Title: Adv RF & mm-Wave Design Section Info: Advanced RF and mm-Wave IC Design. This course covers advanced topics in radio-frequency (RF) and millimeter-wave (mm-Wave) integrated circuits (IC) design. At RF, this course focuses on linear periodically time-varying circuits, including N-path filters, switched-capacitor power amplifiers, and magnet-less circulators, which have become important building blocks for many modern and emerging wireless (and quantum-computing) applications. This course also teaches the design and simulation of passive components, low-noise amplifiers, and phase shifters for mm-wave wireless applications. Prerequisite: ECE 483 Restriction(s): Restricted to Graduate - Urbana-Champaign.
72446	Lecture	SG	9:30AM -10:50AM	TR	2015 Electrical & Computer Eng Bldg	Aditya Prakash, - Gupta, S	Part of Term: 1 Date Range: 08/22/22-12/07/22 Credit: 4 hours Section Title: Learning-Based Robotics Section Info: This course will introduce students to recent developments in the area of learning-based robotics. The course will start with an overview of background material from relevant subfields: computer vision, machine learning, robotics and control theory. Next, we will 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. These advanced techniques will be covered via recent research papers that develop and validate them. The course will conclude with case-studies on robotic navigation, and manipulation from recent papers. Project work as part of the course will provide a flavor of research in this new emerging area. Prerequisites: Understanding of basic concepts in artificial intelligence, and machine learning. Students must have taken at least one of the following courses: ECE 448 / CS 440 (Introduction to Artificial Intelligence), ECE 544NA (Pattern Recognition), ECE 549 / CS 543 (Computer Vision). Restriction(s): Restricted to Graduate - Urbana-Champaign.
37025	Lecture	YZ	3:30PM -4:50PM	TR	3017 Electrical & Computer Eng Bldg	Zhao, Y	Part of Term: 1 Date Range: 08/22/22-12/07/22 Credit: 4 hours Section Title: Light-Matter Interaction Section Info: Topic: In this course, we will learn about the light-matter interactions from the fundamentals, starting with the classical interpretation of materials, such as dipole oscillators, linear optical properties, and dispersion relations. We will study nonlinear contributions and understand how this leads to the generation of new frequencies and irradiance-dependent refractive index and absorption, and consider how quantum mechanics modifies our picture of the optical properties. As applications of these fundamental knowledge, we will discuss the design principles and characterization techniques of various metamaterials for imaging and sensing. Prerequisite: ECE 350, one of ECE 460 or PHYS 402, or consent of the instructor Restriction(s): Restricted to Graduate - Urbana-Champaign.