ECE 498

Spring 2020 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.

0 to 4 undergraduate hours. 0 to 4 graduate hours. May be repeated in the same or separate terms if topics vary.

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ECE 498 class schedule data for spring 2020
CRN	Type	Section	Time	Day	Location	Instructor	Section Details
68104	Lecture	DSG	12:30PM -1:50PM	MW	Everitt Laboratory	Anjur, V Chen, H Cui, S Cyriac, J Han, J Iyer, R	Part of Term: 1 Date Range: 01/21/20-05/06/20 Credit: 4 hours Section Title: Data Science & Analytics Restriction(s): Not intended for Undergrad - Urbana-Champaign.
68103	Lecture	DSU	12:30PM -1:50PM	MW	Everitt Laboratory	Anjur, V Chen, H Cui, S Cyriac, J Han, J Iyer, R	Part of Term: 1 Date Range: 01/21/20-05/06/20 Credit: 3 hours Section Title: Data Science & Analytics Restriction(s): Not intended for Graduate - Urbana-Champaign.
69456	Lecture	ICC	11:00AM -12:20PM	TR	Electrical & Computer Eng Bldg	Chen, D Hwu, W Xiong, J Yang, S	Part of Term: 1 Date Range: 01/21/20-05/06/20 Credit: 4 hours Section Title: IoT and Cognitive Computing Section Info: This course offers in-depth coverage on existing and emerging IoT and cognitive computing topics. Detailed topics include definition and characteristics of IoT; IoT enabling technologies; smart domains and applications; IoT systems; IoT design methodology; machine learning and deep learning; embedded GPU and FPGA for IoT; IoT servers and cloud; data analytics for IoT; cognitive computing; cognitive systems design; cognitive application workloads; IoT security; hands-on learning experience to build IoT systems; and various case studies such as smart city, smart home, and IoT for healthcare. Machine problems working with actual IoT computing devices together with homework assignments will be given to reinforce the understanding and learning of the techniques and topics. Prerequisites: CS 225 or ECE 385.
69711	Laboratory	IL1	10:00AM -11:55AM	M	Electrical & Computer Eng Bldg	Chen, D Hwu, W Xiong, J Yu, M Zhang, X	Part of Term: 1 Date Range: 01/21/20-05/06/20 Section Title: IoT and Cognitive Computing
69712	Laboratory	IL2	1:00PM -2:55PM	M	Electrical & Computer Eng Bldg	Chen, D Hwu, W Li, Y Xiong, J Zhang, X	Part of Term: 1 Date Range: 01/21/20-05/06/20 Section Title: IoT and Cognitive Computing
69714	Laboratory	IL4	1:00PM -2:55PM	W	Electrical & Computer Eng Bldg	Chen, D Hwu, W Li, J Xiong, J Zhang, X	Part of Term: 1 Date Range: 01/21/20-05/06/20 Section Title: IoT and Cognitive Computing
69589	Lecture	KF3	2:00PM -3:20PM	TR	Electrical & Computer Eng Bldg	Fang, K	Part of Term: 1 Date Range: 01/21/20-05/06/20 Credit: 3 hours Section Title: Quantum Optics & Devices Section Info: Quantum Optics and Quantum Devices. This course is planned to prepare ECE students for the advent of quantum technology era with the essential physics and device knowledge. The focus of the course is on the quantum optical sector of the broader field of quantum information and quantum computing. It covers main topics in quantum optics, basic quantum information protocols and their implementation using quantum optics, and representative quantum device architectures, not limited to photonics, for quantum information processing. Prerequisites: ECE 329/350, PHY 214 or ECE 487
70829	Lecture	KF4	2:00PM -3:20PM	TR	Electrical & Computer Eng Bldg	Fang, K	Part of Term: 1 Date Range: 01/21/20-05/06/20 Credit: 4 hours Section Title: Quantum Optics & Devices Section Info: Quantum Optics and Quantum Devices. This course is planned to prepare ECE students for the advent of quantum technology era with the essential physics and device knowledge. The focus of the course is on the quantum optical sector of the broader field of quantum information and quantum computing. It covers main topics in quantum optics, basic quantum information protocols and their implementation using quantum optics, and representative quantum device architectures, not limited to photonics, for quantum information processing. Prerequisites: ECE 329/350, PHY 214 or ECE 487
70830	Lecture	NS	11:00AM -11:50AM	MWF	Electrical & Computer Eng Bldg	Allen, J	Part of Term: 1 Date Range: 01/21/20-05/06/20 Credit: 3 hours Section Title: Neural Circuits and Systems Section Info: Neuroscience is the study of how neurons work. The mathematics of neuroscience have reached a level that it can fill a 3 hr course at the third year undergraduate level. This material is important for students who are interested in artificial neural networks and machine learning. The mathematics of neuroscience is a good training ground for extended the techniques of artificial neural networks and novel extensions of machine learning. Prerequisites: ECE 310, Math one of MATH 284, 285 or 286 (differential equations) Restriction(s): Not intended for Graduate - Urbana-Champaign.
46968	Lecture	SMA	2:00PM -3:20PM	MW	Electrical & Computer Eng Bldg	Driggs-Campbell, K Kim, J Mitra, S	Part of Term: 1 Date Range: 01/21/20-05/06/20 Credit: 4 hours Section Title: Principles of Safe Autonomy Section Info: This course introduces key algorithms and techniques for performing safety analysis of powerful autonomous systems such as autonomous cars, delivery drones, and manufacturing robots. Specifically, we introduce key algorithms in sensing, perception, control, and analysis, with a view towards understanding their basic assumptions and performance guarantees. What are the assumptions and what can be guaranteed by these modules? How to combine assumptions and guarantees of individual modules to make compositional arguments about system-level safety and assurance cases? The course also provides exposure to some of the state-of-the-art software tools for sensing, control, modelling, and analysis. Our approach will be to cover one or two algorithms / approaches in each topic and discuss their correctness arguments and performance trade-offs. Students will get experience with latest tools through labs and home works and they will perform hand-on laboratory work on the Polaris GEM autonomous vehicle platform at the highbay. Prerequisites: ECE 220, ECE 313
65456	Lecture	YV	9:30AM -10:50AM	TR	Electrical & Computer Eng Bldg	Vlasov, Y	Part of Term: 1 Date Range: 01/21/20-05/06/20 Credit: 3 hours Section Title: Silicon Integrated Photonics Section Info: Prerequisites: ECE 350. Electromagnetic waves, optical waveguides, applications to waveguide couplers, passive silicon photonic waveguide filters, photonic electro-optical devices, silicon photonic modulators. Restriction(s): Not intended for Graduate - Urbana-Champaign.
68399	Lecture	YV4	9:30AM -10:50AM	TR	Electrical & Computer Eng Bldg	Vlasov, Y	Part of Term: 1 Date Range: 01/21/20-05/06/20 Credit: 4 hours Section Title: Silicon Integrated Photonics Restriction(s): Restricted to Graduate - Urbana-Champaign.