ECE 498

Spring 2019 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 2019
CRN	Type	Section	Time	Day	Location	Instructor	Section Details
68104	Lecture	DSG	12:30PM -1:50PM	MW	1310 Digital Computer Laboratory	Campbell, R Iyer, R	Part of Term: 1 Date Range: 01/14/19-05/01/19 Credit: 4 hours Section Title: Data Science & Analytics Restriction(s): Not intended for Undergrad - Urbana-Champaign.
68103	Lecture	DSU	12:30PM -1:50PM	MW	1310 Digital Computer Laboratory	Campbell, R Iyer, R	Part of Term: 1 Date Range: 01/14/19-05/01/19 Credit: 3 hours Section Title: Data Science & Analytics Restriction(s): Not intended for Graduate - Urbana-Champaign.
69456	Lecture	ICC	11:00AM -12:20PM	TR	1013 Electrical & Computer Eng Bldg	Chen, D Hwu, W Xiong, J	Part of Term: 1 Date Range: 01/14/19-05/01/19 Credit: 4 hours Section Title: IoT and Cognitive Computing Section Info: This course covers existing and emerging IoT application domains, high-level programming for IoT devices, machine learning algorithms, and various computing systems that facilitate the rapid realization and growth of IoT. Topics include definition and characteristics of IoT; IoT enabling technologies; smart domains and applications; IoT systems; IoT design methodology; embedded GPU and FPGA for IoT; IoT servers and cloud; data analytics for IoT, cognitive computing, cognitive systems design, cognitive application workload, and various case studies such as smart city, smart agriculture, smart home, and smart environment. Machine problems working with Raspberry Pi and Amazon cloud and homework assignments will be given to reinforce the understanding of the techniques and topics.
69610	Lecture	IH	3:00PM -4:20PM	MW	2015 Electrical & Computer Eng Bldg	Hajj, I	Part of Term: 1 Date Range: 01/14/19-05/01/19 Credit: 4 hours Section Title: Comp. Methods in Circuit Sim Section Info: Computational Methods in Circuit Simulation. Formulation of circuit equations; AC, DC, and transient analysis of electrical circuits; solution of linear, nonlinear, and differential equations; sparse matrix solution methods, sensitivity analysis; decomposition and projection methods; reduced-order circuit modeling.
69711	Laboratory	IL1	10:00AM -11:55AM	M	4022 Electrical & Computer Eng Bldg	Chen, D Hwu, W Xiong, J	Part of Term: 1 Date Range: 01/14/19-05/01/19 Section Title: IoT and Cognitive Computing
69712	Laboratory	IL2	1:00PM -2:55PM	M	4022 Electrical & Computer Eng Bldg	Chen, D Hwu, W Xiong, J	Part of Term: 1 Date Range: 01/14/19-05/01/19 Section Title: IoT and Cognitive Computing
69713	Laboratory	IL3	10:00AM -11:55AM	W	4022 Electrical & Computer Eng Bldg	Chen, D Hwu, W Xiong, J	Part of Term: 1 Date Range: 01/14/19-05/01/19 Section Title: IoT and Cognitive Computing
69714	Laboratory	IL4	1:00PM -2:55PM	W	4022 Electrical & Computer Eng Bldg	Chen, D Hwu, W Xiong, J	Part of Term: 1 Date Range: 01/14/19-05/01/19 Section Title: IoT and Cognitive Computing
69589	Lecture	KF	2:00PM -3:20PM	TR	3017 Electrical & Computer Eng Bldg	Fang, K	Part of Term: 1 Date Range: 01/14/19-05/01/19 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
62440	Lecture	RC3	3:00PM -4:20PM	MW	2013 Electrical & Computer Eng Bldg	Roy Choudhury, R	Part of Term: 1 Date Range: 01/14/19-05/01/19 Credit: 3 hours Section Title: Smartphone Computing and Appli Section Info: Topic: Smartphone Computing and Applications. Prerequisities: One of ECE 391 (Comp. Sys. Eng.), ECE 241 (Sys. Programming), ECE 310 (Digital Signal Processing) or consent of instructor. This course will introduce cross-disciplinary ideas, techniques, and algorithms in mobile computing, with an emphasis on how they can be composed to build complete systems and applications on the platform of smartphones, tablets, and wearable devices such as glasses, watches, etc. Topics of interest include smartphone sensing, energy efficiency, indoor localization, context-awareness, gesture recognition, CPU-offloading, and data analytics. As an example, students will consider problems in indoor navigation, understand how “signal correlation” may be an effective technique to solve the problem, and later utilize the same technique for a different application, say health monitoring. The course will require students to learn a variety of these techniques and ways in which they can be inter-weaved with each other (through existing case studies). In the second half of the semester, students will use some of these techniques to work on an open-ended project that results in a functional mobile system. Credit: 3 undergrad; 4 graduate Restriction(s): Not intended for Graduate - Urbana-Champaign.
62441	Lecture	RC4	3:00PM -4:20PM	MW	2013 Electrical & Computer Eng Bldg	Roy Choudhury, R	Part of Term: 1 Date Range: 01/14/19-05/01/19 Credit: 4 hours Section Title: Smartphone Computing and Appli Section Info: Topic: Smartphone Computing and Applications. Prerequisities: One of ECE 391 (Comp. Sys. Eng.), ECE 241 (Sys. Programming), ECE 310 (Digital Signal Processing) or consent of instructor. This course will introduce cross-disciplinary ideas, techniques, and algorithms in mobile computing, with an emphasis on how they can be composed to build complete systems and applications on the platform of smartphones, tablets, and wearable devices such as glasses, watches, etc. Topics of interest include smartphone sensing, energy efficiency, indoor localization, context-awareness, gesture recognition, CPU-offloading, and data analytics. As an example, students will consider problems in indoor navigation, understand how “signal correlation” may be an effective technique to solve the problem, and later utilize the same technique for a different application, say health monitoring. The course will require students to learn a variety of these techniques and ways in which they can be inter-weaved with each other (through existing case studies). In the second half of the semester, students will use some of these techniques to work on an open-ended project that results in a functional mobile system. Credit: 3 undergrad; 4 graduate Restriction(s): Restricted to Graduate - Urbana-Champaign.
69454	Lecture	SM	2:00PM -3:20PM	MW	3015 Electrical & Computer Eng Bldg	Driggs-Campbell, K Mitra, S	Part of Term: 1 Date Range: 01/14/19-05/01/19 Credit: 4 hours Section Title: Principles of Safe Autonomy Section Info: This course introduces key algorithms and techniques for building powerful autonomous systems, and the principles for reasoning about their safety. Specifically, we introduce key algorithms in sensing, perception, control, and analysis, with an eye towards analysis. What are the assumptions and what can be guaranteed? How to combine assumptions and guarantees of individual modules to make compositional arguments about system-level safety and assurance cases? Provide exposure to some of the state-of-the-art software tools for sensing, control, modeling, 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. Prerequisite: ECE 313 or linear algebra, ECE 220.
65456	Lecture	YV	11:00AM -12:20PM	TR	3015 Electrical & Computer Eng Bldg	Vlasov, Y	Part of Term: 1 Date Range: 01/14/19-05/01/19 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	11:00AM -12:20PM	TR	3015 Electrical & Computer Eng Bldg	Vlasov, Y	Part of Term: 1 Date Range: 01/14/19-05/01/19 Credit: 4 hours Section Title: Silicon Integrated Photonics Restriction(s): Restricted to Graduate - Urbana-Champaign.