ECE 498

Fall 2011 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 498 class schedule data for fall 2011
CRN	Type	Section	Time	Day	Location	Instructor	Section Details
59104	Discussion/ Recitation Lecture	DLJ DLJ	10:00AM -12:00PM 10:00AM -10:50AM	F MW	Location Pending 106B6 Engineering Hall	Hasegawa-Johnson, M Hasegawa-Johnson, M	Part of Term: 1 Date Range: 08/22/11-12/07/11 Credit: 4 hours Section Info: Topic: : Principles of Signal Analysis. Prerequisites: Integral and differential calculus; introductory probability or statistics course; some familiarity with linear algebra; graduate standing in biological, physical, or social sciences. Credit will not be given to engineering students. An advanced introduction to signal analysis and processing methods for advanced undergraduates or graduate students in the biological, physical, and social, and engineering sciences. The course will develop a sophisticated understanding of signal analysis methods and their capabilities, weaknesses, and artifacts with an emphasis on their practical application. Significant hands-on processing and interpretation of real biological data will be performed using Matlab.
51561	Discussion/ Recitation Lecture	LG LG	ARRANGED 11:00AM -11:50AM	n.a. MWF	Location Pending 241 Everitt Laboratory	Goddard, L Goddard, L	Part of Term: 1 Date Range: 08/22/11-12/07/11 Credit: 4 hours Section Info: Topic: Prin. of Experimental Research. Prerequisites: ECE 313 and Senior or Graduate standing in an engineering or science curriculum, or by permission of the instructor. An interdisciplinary course designed primarily for first year engineering and science graduate students and for advanced undergraduates. ECE 313 or equivalent is a prerequisite. The course focuses on: (1) design of experiments, (2) prevalent experimental techniques, (3) data organization, analysis, and presentation techniques, and (4) scientific computing languages and software. Students carry out four open-ended labs and a multivariable experimental project of their own design. In past years, for the four labs, students built and tested: a software based lock-in amplifier in LabVIEW using a DAQ card, a PID motor controller in LabVIEW using table top instruments, an electrical time domain reflectometer, and audio and optical heterodyne systems. Students also present scientific material in three common formats: poster session, conference talk, and journal paper. The main course objective is for students to develop the basic skills needed for pursuing a career or an advanced degree involving experimental research.
59105	Lecture Lecture	YB YB	3:00PM -4:20PM 3:30PM -4:50PM	R T	260 Mechanical Engineering Bldg 106B1 Engineering Hall	Baryshnikov, Y Baryshnikov, Y	Part of Term: 1 Date Range: 08/22/11-12/07/11 Credit: 4 hours Section Info: Topic: Economics for Engineers and Mathematicians. Prerequisites: Calculus 3 or comparable; Linear Algebra; basic Probability Theory: (courses like Math286, Math 241, ECE313 would suffice). Economics as a field of science became critical for engineering profession: not only economic considerations dictate the requirements for new products and services, but they also often provide the tools for the innovation. This course is aimed at the students sufficiently well versed in mathematical techniques and will address the core of the modern economic theory. Beyond covering the standard notions and results, we will try to concentrate on the underlying mathematical structures, and ramifications.