ECE 498

Spring 2016 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 2016
CRN	Type	Section	Time	Day	Location	Instructor	Section Details
63790	Lecture	CB	1:00PM -1:50PM	MWF	3015 Electrical & Computer Eng Bldg	Bayram, C	Part of Term: 1 Date Range: 01/19/16-05/04/16 Credit: 3 hours Section Title: LEDs and Solar Cells Section Info: Prerequisites: Phys 214 & Co-reqs: ECE 340. This course explores the energy conversion devices from fundamentals to system-level issues. The modern devices to be explored include light emitting diodes and solar cells. Topics include energy transfer between photons and electron-hole pairs, light emission and capture, emission and absorption engineering via device simulation/design, radiative and non-radiative processes in devices, electrical and optical characteristics, carrier diffusion and mobility, light extraction and trapping, and thermal management for high power high efficiency energy conversion devices. Prerequisites: Phys 214 & Co-reqs: ECE 340.
63783	Lecture	HZ	2:00PM -3:20PM	TR	4026 Electrical & Computer Eng Bldg	Zhu, H	Part of Term: 1 Date Range: 01/19/16-05/04/16 Credit: 3 hours Section Title: Distribution System Analysis Section Info: Prerequisites: ECE 476 (Power System Analysis) or permission of instructor. Fundamental techniques for analyzing power distribution systems, including an overview of distribution grids, their loads, components, typical topologies, operational strategies, and the three-phase power flow analysis. Emerging topics in power distribution systems include distributed generation, electric vehicles, demand response, and new metering devices.
63788	Lecture	MR	11:00AM -12:20PM	MW	4070 Electrical & Computer Eng Bldg	Raginsky, M	Part of Term: 1 Date Range: 01/19/16-05/04/16 Credit: 3 hours Section Title: Intro to Stochastic Systems Section Info: Exploration of noise, uncertainty, and randomness in the context of signals and systems. The course will introduce discrete- and continuous-time random processes as input and/or output signals of various types of systems, with and without memory or feedback. Probabilistic notions will be integrated with techniques from signals and systems, such as linearity, time-invariance, causality, transform methods, and stability. Basic concepts will be illustrated via numerous examples, such as noise in linear and nonlinear circuits, average consensus and PageRank, queuing systems, noise in remote sensing applications, Bayesian filtering, Monte Carlo simulation, risk allocation in financial portfolios, stochastic gradient descent in machine learning. Prerequisites: ECE 310 and ECE 313. Restriction(s): Not intended for Graduate - Urbana-Champaign.
63789	Lecture	MR2	11:00AM -12:20PM	MW	4070 Electrical & Computer Eng Bldg	Raginsky, M	Part of Term: 1 Date Range: 01/19/16-05/04/16 Credit: 4 hours Section Title: Intro to Stochastic Systems Section Info: Exploration of noise, uncertainty, and randomness in the context of signals and systems. The course will introduce discrete- and continuous-time random processes as input and/or output signals of various types of systems, with and without memory or feedback. Probabilistic notions will be integrated with techniques from signals and systems, such as linearity, time-invariance, causality, transform methods, and stability. Basic concepts will be illustrated via numerous examples, such as noise in linear and nonlinear circuits, average consensus and PageRank, queuing systems, noise in remote sensing applications, Bayesian filtering, Monte Carlo simulation, risk allocation in financial portfolios, stochastic gradient descent in machine learning. Prerequisites: ECE 310 and ECE 313 Restriction(s): Restricted to Graduate - Urbana-Champaign.
63843	Lecture	RR	3:00PM -4:20PM	MW	3017 Electrical & Computer Eng Bldg	Roy Choudhury, R	Part of Term: 1 Date Range: 01/19/16-05/04/16 Credit: 3 hours Section Title: Mobile Sensing, Comp, and Appl Section Info: Prerequisites: One of ECE 391 (Comp. Sys. Eng.), CS 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 smartphones, tablets, and wearable devices such as glasses, watches, etc. Topics of interest include smartphone sensing, energy efficiency, indoor localization, augmented reality, context-awareness, gesture recognition, CPU-offloading, and data analytics. As an example, students will study problems in indoor navigation, understand how “sensor data clustering” is required to solving 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. Restriction(s): Not intended for Graduate - Urbana-Champaign.
63844	Lecture	RR2	3:00PM -4:20PM	MW	3017 Electrical & Computer Eng Bldg	Roy Choudhury, R	Part of Term: 1 Date Range: 01/19/16-05/04/16 Credit: 4 hours Section Title: Mobile Sensing, Comp, and Appl Section Info: Prerequisites: One of ECE 391 (Comp. Sys. Eng.), CS 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 smartphones, tablets, and wearable devices such as glasses, watches, etc. Topics of interest include smartphone sensing, energy efficiency, indoor localization, augmented reality, context-awareness, gesture recognition, CPU-offloading, and data analytics. As an example, students will study problems in indoor navigation, understand how “sensor data clustering” is required to solving 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. Restriction(s): Restricted to Graduate - Urbana-Champaign.
63779	Lecture	RS	11:00AM -12:20PM	MW	3015 Electrical & Computer Eng Bldg	Srikant, R	Part of Term: 1 Date Range: 01/19/16-05/04/16 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 switch scheduling, load balancing, and traffic engineering. Restriction(s): Not intended for Graduate - Urbana-Champaign.
63780	Lecture	RS2	11:00AM -12:20PM	MW	3015 Electrical & Computer Eng Bldg	Srikant, R	Part of Term: 1 Date Range: 01/19/16-05/04/16 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 switch scheduling, load balancing, and traffic engineering. Restriction(s): Restricted to Graduate - Urbana-Champaign.