<?xml version="1.0" encoding="UTF-8"?>
<rdf:RDF xmlns:sy="http://purl.org/rss/1.0/modules/syndication/" xmlns:taxo="http://purl.org/rss/1.0/modules/taxonomy/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" xmlns="http://purl.org/rss/1.0/">
<channel>
<title>Electrical Engineering and Computer Science (6) -</title>
<link>http://hdl.handle.net/1721.1/33986</link>
<description>Electrical Engineering and Computer Science (6)</description>
<items>
<rdf:Seq>
<rdf:li resource="http://hdl.handle.net/1721.1/49509"/>
<rdf:li resource="http://hdl.handle.net/1721.1/49431"/>
<rdf:li resource="http://hdl.handle.net/1721.1/49422"/>
<rdf:li resource="http://hdl.handle.net/1721.1/49420"/>
</rdf:Seq>
</items>
</channel>
<item rdf:about="http://hdl.handle.net/1721.1/49509">
<title>6.013 Electromagnetics and Applications, Fall 2002</title>
<link>http://hdl.handle.net/1721.1/49509</link>
<description>6.013 Electromagnetics and Applications, Fall 2002

Staelin, David H.

Kong, Jin Au, 1942-

Melcher, James R.

Zahn, Markus, 1946-

Ippen, E. P. (Erich Peter)

Electromagnetic phenomena are explored in modern applications including wireless communications, circuits, computer interconnects and peripherals, optical fiber links and components, microwave communications and radar, antennas, sensors, micro-electromechanical systems, and power generation and transmission. Fundamentals include quasistatic and dynamic solutions to Maxwell's equations; waves, radiation, and diffraction; coupling to media and structures; guided and unguided waves; resonance; and forces, power, and energy.

</description>
</item>
<item rdf:about="http://hdl.handle.net/1721.1/49431">
<title>6.111 Introductory Digital Systems Laboratory, Spring 2004</title>
<link>http://hdl.handle.net/1721.1/49431</link>
<description>6.111 Introductory Digital Systems Laboratory, Spring 2004

Chandrakasan, Anantha P.

Troxel, Donald E.

Lectures and labs on digital logic, flipflops, PALs, counters, timing, synchronization, finite-state machines, and microprogrammed systems prepare students for the design and implementation of a final project of their choice: games, music, digital filters, graphics, etc. Extensive use of VHDL for describing and implementing digital logic designs. Possible use of lab report for Phase II of the Writing Requirement. Six extra units possible via registration for 6.905 after project proposal. From the course home page: Course Description 6.111 covers digital design topics such as digital logic, flipflops, PALs, CPLDs, FPGAs, counters, timing, synchronization, and finite-state machines. The semester begins with lectures and problem sets, to introduce fundamental topics before students embark on lab assignments and ultimately, a digital design project. The students design and implement a final digital project of their choice, in areas such as games, music, digital filters, wireless communications, and graphics. The course relies on extensive use of Verilog® for describing and implementing digital logic designs.

</description>
</item>
<item rdf:about="http://hdl.handle.net/1721.1/49422">
<title>6.642 Continuum Electromechanics, Fall 2004</title>
<link>http://hdl.handle.net/1721.1/49422</link>
<description>6.642 Continuum Electromechanics, Fall 2004

Zahn, Markus, 1946-

This course focuses on laws, approximations, and relations of continuum mechanics. Topics include mechanical and electromechanical transfer relations, statics and dynamics of electromechanical systems having a static equilibrium, electromechanical flows, and field coupling with thermal and molecular diffusion. See the syllabus section for a more detailed list of topics.

</description>
</item>
<item rdf:about="http://hdl.handle.net/1721.1/49420">
<title>6.854J / 18.415J Advanced Algorithms, Fall 2001</title>
<link>http://hdl.handle.net/1721.1/49420</link>
<description>6.854J / 18.415J Advanced Algorithms, Fall 2001

Goemans, Michel

A first-year graduate course in algorithms. Emphasizes fundamental algorithms and advanced methods of algorithmic design, analysis, and implementation. Data structures. Network flows. Linear programming. Computational geometry. Approximation algorithms. Alternate years. From the course home page: Course Description This is a graduate course on the design and analysis of algorithms, covering several advanced topics not studied in typical introductory courses on algorithms. It is especially designed for doctoral students interested in theoretical computer science.

</description>
</item>
</rdf:RDF>
