Signals and Systems OpenCourseWare: A Free Undergraduate Course by MIT on Signal and System Analysis

Published Jan 31, 2009

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Engineering professionals must have a solid understanding of the fundamentals of signals and systems and how to apply that knowledge to real-world applications. 'Signals and Systems' is an OpenCourseWare that is provided by the Massachusetts Institute of Technology. This course focuses on the basics of signals and systems analysis. Although this OpenCourseWare is geared toward aspiring electrical engineers, undergraduate students in other disciplines will also benefit from this course.

Signals and Systems: Course Specifics

Degree Level Free Audio Video Downloads
Undergraduate Yes No No Yes

Lectures/Notes Study Materials Tests/Quizzes
Yes Yes Yes

Signals and Systems: Course Description

'Signals and Systems,' aims to prepare students with the instinctive and conventional skills needed for evaluating signals and systems. Students can also expect to gain practical knowledge of typical applications, including audio and image processing. Students will not only develop an understanding of the principles of LTI continuous-time and discrete-time systems and its association with signals, but they will also study the concepts underlying modulation, filtering and sampling and the mathematical representations and methods for analyzing signals and systems. This free course is taught by Professors Paul Gray, Alan Willsky, Joel Voldman, Victor Zue and Dr. Charles Rohrs, all from the MIT Department of Electrical Engineering and Computer Science. The course is presented in a lecture format and focuses on the topics of convolution, Laplace and Z-transforms, feedback systems and Fourier series and transforms. Other lecture topics include sampling, frequency response and 1st and 2nd order DT systems. Students who complete this OpenCourseWare should possess the practical knowledge to calculate the impulse response of a discrete-time system and be able to compute and display the spectrogram of a signal.

The materials for this course consist of lecture notes, labs, assignments, exams and a reading list. If you would like to take advantage of this free course, go to the signals and systems course page.

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