Electrical Engineering and Computer Science (6) -
Electrical engineering, originally taught at MIT in the Physics Department, became an independent degree program in 1882. The Department of Electrical Engineering was formed in 1902, and occupied its new home, the Lowell Building, when MIT was still located near Copley Square in Boston. The Department dedicated its present facilities in the Sherman Fairchild Electrical Engineering and Electronics complex in fall 1973, and a year later, it recognized its growing activity in computer science by changing its name to Electrical Engineering and Computer Science. The Department's activities in computer science, communications, and control moved into the architecturally unique and exciting Ray and Maria Stata Center for Computer, Information, and Intelligence Sciences in Spring 2004.
The primary mission of the Department is the education of its students. Its three undergraduate programs attract more than 30 percent of all MIT undergraduates, and its doctoral programs are highly ranked and selective. A leader in cooperative education, the Department has operated the highly successful VI-A Internship Program since 1917. It has recently established a five-year Master of Engineering program, under which students stay for a fifth year and receive simultaneously a Bachelor's degree and a Master's of Engineering degree.
During its history faculty and students of the Department have made major, lasting research contributions, some of which have opened up entire new fields of study.
For more information, go to http://www.eecs.mit.edu/ .
MIT OpenCourseWare materials are licensed by the Massachusetts Institute of Technology under a Creative Commons License .
(2010-12)This course offers an advanced introduction to numerical linear algebra. Topics include direct and iterative methods for linear systems, eigenvalue decompositions and QR/SVD factorizations, stability and accuracy of numerical ...
(2010)This course provides an aggressively gentle introduction to MATLAB®. It is designed to give students fluency in MATLAB, including popular toolboxes. The course consists of interactive lectures with students doing sample ...
(2008-12)This is a course on the fundamentals of probability geared towards first- or second-year graduate students who are interested in a rigorous development of the subject. The course covers most of the topics in 6.431 (sample ...