ECE 498

Spring 2009 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 spring 2009
CRN	Type	Section	Time	Day	Location	Instructor	Section Details
46991	Laboratory	AB	ARRANGED	n.a.	Location Pending	Hwu, W	Part of Term: 1 Date Range: 01/20/09-05/06/09 Section Info: Programming Massively Parallel Microprocessors lab section.
46968	Lecture	AL	9:30AM -10:50AM	TR	1105 Siebel Center for Comp Sci	Hwu, W	Part of Term: 1 Date Range: 01/20/09-05/06/09 Credit: 4 hours Section Info: Topic: Programming Massively Parallel Microprocessors. Prerequisites: ECE 411 or CS 225 and CS 433. This course introduces the student to parallel programming, for processors with many computation cores (typically graphical processing units (GPUs))/ Topics include exploitation of parallelism, programming models, hardware organizations, mapping computations to parallel hardware, efficient data structures, paradigms for efficient parallel algorithms./Six lab assignments and one final project reinforce and supplement the lecture and reading materials.
48559	Lecture	GT	11:00AM -12:20PM	TR	245 Everitt Laboratory	Timp, G	Part of Term: 1 Date Range: 01/20/09-05/06/09 Credit: 3 hours Section Info: Topic: Introduction to Systems Biology for Engineers. Prerequisites: ECE 486 recommended,MCB 100, MCB 150 or MCB 300 or equivalent recommended, Chem 102 required, Chem 104, 202, 204 recommended. The goal of this course is to highlight elementary design principles of biological systems. Many of the underlying principles that govern the biochemical interactions within a cell can be related to networks consisting of basic building-block circuits with multiple inputs/output, feedback and feedforward etc. This course draws on control theory and simple biology to provide a mathematical framework to understand these biological networks. The course is intended for advanced undergraduates or graduate students
49759	Lecture	JL3	9:30AM -10:50AM	TR	159 Altgeld Hall	Lyding, J	Part of Term: 1 Date Range: 01/20/09-05/06/09 Credit: 3 hours Section Info: Topic: Nanotechnology. Prerequisite: Any one of the following courses or permission of the instructor: CHEM 442, CHBE 457, ECE 440, BIOC 440 or BIOC 446, BIOP 420, CSE 485, ME 485, MSE 401, or PHYS 460. This course begins by covering the fundamental physical properties of nanoscale systems. Nanofabrication techniques will then be covered, followed by coverage of topics including semiconductor nanotechnology, molecular and biomolecular nanotechnology, carbon nanotechnology (nanotubes and graphene), nanowires, and nanoscale architectures and systems. For three credit hours, student course work will consist of weekly homework assignments, one in-class Powerpoint presentation, a term paper and a final research proposal. A fourth credit hour requires a second presentation.
44431	Lecture	JL4	9:30AM -10:50AM	TR	159 Altgeld Hall	Lyding, J	Part of Term: 1 Date Range: 01/20/09-05/06/09 Credit: 4 hours Section Info: Topic: Nanotechnology. Prerequisite: Any one of the following courses or permission of the instructor: CHEM 442, CHBE 457, ECE 440, BIOC 440 or BIOC 446, BIOP 420, CSE 485, ME 485, MSE 401, or PHYS 460. This course begins by covering the fundamental physical properties of nanoscale systems. Nanofabrication techniques will then be covered, followed by coverage of topics including semiconductor nanotechnology, molecular and biomolecular nanotechnology, carbon nanotechnology (nanotubes and graphene), nanowires, and nanoscale architectures and systems. For three credit hours, student course work will consist of weekly homework assignments, one in-class Powerpoint presentation, a term paper and a final research proposal. A fourth credit hour requires a second presentation.
52011	Lecture	LEE	5:00PM -6:20PM	T	1404 Siebel Center for Comp Sci	Hollis, L	Part of Term: 1 Date Range: 01/20/09-05/06/09 Credit: 1 hours Section Info: Topic: Advanced Lectures in Engineering Entrepreneurship. Prerequisite: Junior, Senior or Graduate student. Analysis of concepts of entrepreneurship and commercialization of new technology in new and existing businesses. Guest speaker topics vary, but typically include: idea validation and opportunity assessment; commercializing new technologies; venture funding; legal issues; product development; marketing; international business issues. Critical analysis of case studies in high-technology ventures with specific emphasis on ventures based on technologies in electrical and computer engineering.
48523	Lecture	MO	10:00AM -10:50AM	MWF	241 Everitt Laboratory	Oelze, M	Part of Term: 1 Date Range: 01/20/09-05/06/09 Credit: 3 hours Section Info: Topic: Biomedical Ultrasound Imaging. Prerequisites: ECE 329. The overall objective of this course is to familiarize the students with most of the theoretical and engineering foundations of ultrasonic imaging. Conventional, Doppler and advanced ultrasonic imaging techniques will be described. Students will be introduced to important applications of the different ultrasonic imaging techniques. Engineering problems related to image production, quality and system design will be examined.
51167	Lecture	SL	11:00AM -12:20PM	TR	241 Everitt Laboratory	Lumetta, S	Part of Term: 1 Date Range: 01/20/09-05/06/09 Credit: 3 hours Section Info: Topic: Engineering Software Systems. Prerequisites: ECE 391. This course examines the relationships between language, compiler, runtime, and architecture in providing a coherent context in which software developers can reason about correctness and performance. The material covers both state-of-the-art design and explores the options for future design processes. The class begins with an overview of the abstractions provided by modern programming languages such as C++, the rationale for their design, and the mechanisms used to implement them. Next, we examine the challenges that face the hardware and software industries with increasing numbers of processors on a chip. Finally, the course reviews the approaches used by the high-performance computing community and illustrate how the architecture, runtime, and compiler can be leveraged to abstract away some of these challenges.