ECE 598

Fall 2010 All Classes

All Classes

Special Topics in ECE

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 2010
CRN	Type	Section	Time	Day	Location	Instructor	Section Details
56456	Lecture	CG	4:00PM -4:50PM	MWF	1302 Siebel Center for Comp Sci	Gardner, C	Part of Term: 1 Date Range: 08/23/10-12/08/10 Credit: 4 hours Section Info: Topic: Optical Remote Sensing Systems. Prerequisites: ECE 458, ECE 468, or consent of instructor. This course will introduce an overall systems approach for solving complex environmental remote sensing problems. Two systems, one passive (imager/interferometer) and one active (lidar) will be studied in detail. Special consideration will be given to system design, including instrument signal-to-noise and numerical simulations of overall system performance driven by real-world environmental measurement problems. Actual data from operating systems will be used in student exercises. This course is appropriate for graduate students who will either use existing systems, or design their own, for remote sensing research. Restriction(s): Restricted to Graduate - Urbana-Champaign.
55808	Lecture	EP	12:30PM -1:50PM	TR	204 Transportation Building	Pop, E	Part of Term: 1 Date Range: 08/23/10-12/08/10 Credit: 4 hours Section Info: Topic: Hot Chips: Atoms to Heat Sink. Prerequisities: : Basic knowledge of solid-state physics, transistor operation, and familiarity with Matlab (or equivalents). This course investigates energy/power dissipation in modern electronics, from fundamentals to system-level issues. Topics include energy transfer through electrons and phonons, mobility and thermal conductivity, power dissipation in modern devices (CMOS, phase-change memory, nanowires, nanotubes), circuit leakage, thermal breakdown, interconnects, thermometry, and heat sinks. Handouts are supplemented with papers from the research literature. Grading is based on homeworks, Wikipedia assignments, a final conference-level group paper, and oral presentations. Restriction(s): Restricted to Graduate - Urbana-Champaign.
56132	Lecture	EZ	10:30AM -11:50AM	MW	206 Transportation Building	Zhou, E	Part of Term: 1 Date Range: 08/23/10-12/08/10 Credit: 4 hours Section Info: Topic: Monte Carlo Methods. This course covers some basic and advanced Monte Carlo methods. Specific topics covered include Monte Carlo integration; variance reduction techniques; Markov chain Monte Carlo (MCMC); simulation optimization; gradient estimation; and applications in telecommunication networks and finance. The prerequisites for this course are probability and statistics and computer programming experience in Matlab, R, C, Fortran, or Pasca. An integral part of the course is a project designed to address a particular problem or to investigate an advanced methodology of interest. Restriction(s): Restricted to Graduate - Urbana-Champaign.
56548	Laboratory Lecture	HK HK	ARRANGED 12:30PM -1:50PM	n.a. TR	Location Pending 1105 Siebel Center for Comp Sci	Hwu, W Hwu, W	Part of Term: 1 Date Range: 08/23/10-12/08/10 Credit: 4 hours Section Info: Topic: Computational Thinking for Many-core Computing. Prerequisites: ECE 498AL or CS 420/ECE 492 or equivalent. This course introduces proven algorithm techniques for developing high-performance applications code for many-core processors. Topics include jey computer architecture and organization concepts, hardware constraints, major algorithm patterns, locality, regularity, scalability, performance models, practical application models, tools, environments, and case studies. Restriction(s): Restricted to Graduate - Urbana-Champaign.
51560	Lecture	KC	2:00PM -2:50PM	MWF	245 Everitt Laboratory	Choquette, K	Part of Term: 1 Date Range: 08/23/10-12/08/10 Credit: 4 hours Section Info: Topic: Nano-Photonics. Prerequisites: ECE 455 or equivalent and PHY 486 or ECE 487 or equivalent. Nanophotonics is the fusion between nanotechnology and photonics. This course will examine the nanoscale interaction between light and matter, with a focus on the fundamentals of the optical properties of semiconductors, metals, and composites. Nanoscale optical phenomena such as plasmonics, cavity electrodynamics, polarition cavity condensation, sub-wavelength structures, and metamaterials will be examined as well as their applications. Restriction(s): Restricted to Graduate - Urbana-Champaign.
54453	Lecture	NV	9:30AM -10:50AM	TR	57 Everitt Laboratory	Vaidya, N	Part of Term: 1 Date Range: 08/23/10-12/08/10 Credit: 4 hours Section Info: Topic: Distributed Algorithms. Prerequisites: ECE 428 or ECE 438. : Distributed algorithms for wired networks, including algorithms for consensus, clock synchronization, mutual exclusion, broadcast; proofs of correctness of distributed algorithms; fault-tolerant distributed algorithms; distributed algorithms for wireless networks. Restriction(s): Restricted to Graduate - Urbana-Champaign.
56193	Lecture	TC	12:30PM -1:50PM	TR	168 Everitt Laboratory	Coleman, T	Part of Term: 1 Date Range: 08/23/10-12/08/10 Credit: 4 hours Section Info: Topic: Brain-Machine Interfaces. Prerequisites: ECE 313 or permission by instructor. This course develops an introduction to the design methodologies for enabling brain-machine interfaces. Canonical scenarios include EEG-based brain-computer interfaces, cochlear implants, and deep-brain stimulation. This is taught in conjunction with the NSF IGERT on ?neuro-engineering?. Restriction(s): Restricted to Graduate - Urbana-Champaign.
56288	Lecture	YL	9:30AM -10:50AM	TR	305 Materials Science & Eng Bld	Lu, Y	Part of Term: 1 Date Range: 08/23/10-12/08/10 Credit: 4 hours Section Info: Topic: Cloud Computing Infrastructure. Prerequistites: ECE 438 and ECE413. ECE534 is preferable. The success of Web 2.0 applications is motivating a paradigm shift in the design of computational infrastructure towards the so-called cloud-based model. This course covers topics in the system and algorithmic design of cloud computing infrastructure including data center network and file system, map-reduce framework, straggler mitigation, load balancing, massive data collection and energy-efficient computation. Restriction(s): Restricted to Graduate - Urbana-Champaign.