ECE 498

Fall 2016 Part of Term 1

Part of Term 1
Aug 22-Dec 7

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 fall 2016
CRN	Type	Section	Time	Day	Location	Instructor	Section Details
61466	Lecture	RC3	3:00PM -4:20PM	MW	Electrical & Computer Eng Bldg	Roy Choudhury, R	Part of Term: 1 Date Range: 08/22/16-12/07/16 Credit: 3 hours Section Title: Smartphone Computing & Appl. Section Info: Prerequisites: One of ECE391, ECE241, or CS225, 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 systems and applications. Topics of interest include multi-modal sensing, energy efficiency, 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 end with a discussion of the longer-term challenges in mobile computing, and how techniques from different disciplines may need to come together to eventually solve them. Restriction(s): Not intended for Graduate - Urbana-Champaign.
61467	Lecture	RC4	3:00PM -4:20PM	MW	Electrical & Computer Eng Bldg	Roy Choudhury, R	Part of Term: 1 Date Range: 08/22/16-12/07/16 Credit: 4 hours Section Title: Smartphone Computing & Appl. Section Info: Prerequisites: One of ECE391, ECE241, or CS225, 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 systems and applications. Topics of interest include multi-modal sensing, energy efficiency, 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 end with a discussion of the longer-term challenges in mobile computing, and how techniques from different disciplines may need to come together to eventually solve them. Restriction(s): Restricted to Graduate - Urbana-Champaign.
66459	Lecture	YL3	2:00PM -3:20PM	MW	Electrical & Computer Eng Bldg	Lu, Y	Part of Term: 1 Date Range: 08/22/16-12/07/16 Credit: 3 hours Section Title: Networking for Big Data Section Info: Prerequisites: An undergraduate course in probability at the level of ECE 313. Programming in matlab and C. Design of networking architectures and algorithms, specifically aimed at data centers. Topics include load balancing, traffic engineering and virtual machine placement. Restriction(s): Not intended for Graduate - Urbana-Champaign.
66460	Lecture	YL4	2:00PM -3:20PM	MW	Electrical & Computer Eng Bldg	Lu, Y	Part of Term: 1 Date Range: 08/22/16-12/07/16 Credit: 4 hours Section Title: Networking for Big Data Section Info: Prerequisites: An undergraduate course in probability at the level of ECE 313. Programming in matlab and C. Design of networking architectures and algorithms, specifically aimed at data centers. Topics include load balancing, traffic engineering and virtual machine placement. This section will require a course project. Restriction(s): Restricted to Graduate - Urbana-Champaign.