ECE 498

Spring 2017 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 2017
CRN	Type	Section	Time	Day	Location	Instructor	Section Details
65643	Laboratory	CB2	12:00PM -1:50PM	R	1003 Electrical & Computer Eng Bldg		Part of Term: 1 Date Range: 01/17/17-05/03/17 Section Title: LEDs and Solar Cells
65644	Laboratory	CB3	2:00PM -3:50PM	R	1003 Electrical & Computer Eng Bldg		Part of Term: 1 Date Range: 01/17/17-05/03/17 Section Title: LEDs and Solar Cells
63790	Lecture	CL1	2:00PM -2:50PM	MWF	2013 Electrical & Computer Eng Bldg	Bayram, C	Part of Term: 1 Date Range: 01/17/17-05/03/17 Credit: 4 hours Section Title: LEDs and Solar Cells Section Info: Prerequisites: 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.
65856	Lecture	LG	9:30AM -10:50AM	TR	2013 Electrical & Computer Eng Bldg	Gao, L	Part of Term: 1 Date Range: 01/17/17-05/03/17 Credit: 3 hours Section Title: Optical Design of Imaging Syst Section Info: Prerequisites: ECE 455 or ECE 460 or PHYS 402. The course will be primarily intended for graduate students or senior undergraduates who are interested in designing and building real-world optical imaging systems. The course will cover the topics of geometrical ray tracing, first-order design, optical aberration theory, lens optimization, and tolerance analysis. During the course, the students will apply real-world optical design processes: defining the problem, identifying specifications and constraints, developing an optical design, evaluating the performance, selecting a final design, and actually building and testing the final design. Specifically, this course will be taught with practical lens design examples using modern lens design software, such as Zemax. In addition, the instructor will teach the students how to design optomechanics and integrate them with optical designs using the 3D CAD software, such as Solidworks. To provide hands on exposure to elementary and advanced imaging systems, this course will also consist of several lab sections, which will be performed in a dedicated optics class room (ECE 3016). During these lab sections, the students will build optical imaging systems based on their own designs and evaluate their imaging performance.
65611	Lecture	LV3	11:00AM -12:20PM	TR	4070 Electrical & Computer Eng Bldg	Varshney, L	Part of Term: 1 Date Range: 01/17/17-05/03/17 Credit: 3 hours Section Title: Network Sci.: Dynamics & Flow
65612	Lecture	LV4	11:00AM -12:20PM	TR	4070 Electrical & Computer Eng Bldg	Varshney, L	Part of Term: 1 Date Range: 01/17/17-05/03/17 Credit: 4 hours Section Title: Network Sci.: Dynamics & Flow
63788	Lecture	MR3	12:30PM -1:50PM	MW	3013 Electrical & Computer Eng Bldg	Raginsky, M	Part of Term: 1 Date Range: 01/17/17-05/03/17 Credit: 3 hours Section Title: Intro to Stochastic Systems Section Info: Prerequisites: ECE 210 and ECE 313. 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. Restriction(s): Not intended for Graduate - Urbana-Champaign.
63789	Lecture	MR4	12:30PM -1:50PM	MW	3013 Electrical & Computer Eng Bldg	Raginsky, M	Part of Term: 1 Date Range: 01/17/17-05/03/17 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.
65613	Lecture	NK3	2:00PM -3:20PM	TR	3013 Electrical & Computer Eng Bldg	Kiyavash, N	Part of Term: 1 Date Range: 01/17/17-05/03/17 Credit: 3 hours Section Title: Causal Inferences in Data Sci. Restriction(s): Not intended for Graduate - Urbana-Champaign.
65615	Lecture	NK4	2:00PM -3:20PM	TR	3013 Electrical & Computer Eng Bldg	Kiyavash, N	Part of Term: 1 Date Range: 01/17/17-05/03/17 Credit: 4 hours Section Title: Causal Inferences in Data Sci. Restriction(s): Restricted to Graduate - Urbana-Champaign.
65456	Lecture	YV	12:30PM -1:50PM	TR	4070 Electrical & Computer Eng Bldg	Vlasov, Y	Part of Term: 1 Date Range: 01/17/17-05/03/17 Credit: 3 hours Section Title: Silicon Integrated Photonics Section Info: Prerequisites: ECE 350 and ECE 340. Electromagnetic waves, optical waveguides, applications to waveguide couplers, passive silicon photonic waveguide filters, photonic electro-optical devices, silicon photonic modulators.