Communication, Control and Signal Processing OpenCourseWare: A Free Online Undergraduate Computer Programming Class by MIT
Students using the free OpenCourseWare 'Introduction to Communication, Control and Signal Processing' will build on their existing knowledge of signals, systems and probabilistic models. This course is offered through the undergraduate program in Electrical Engineering and Computer Science at the Massachusetts Institute of Technology (MIT) in Cambridge, MA.
Introduction to Communication, Control and Signal Processing: Course Specifics
| Degree Level | Free | Audio | Video | Downloads |
|---|---|---|---|---|
| Undergraduate | Yes | No | No | Yes |
| Lectures/Notes | Study Materials | Tests/Quizzes |
|---|---|---|
| Yes | Yes | Yes |
Introduction to Communication, Control and Signal Processing: Course Description
This free OpenCourseWare expands on lessons learned in 'Signals and Systems' and 'Probabilistic Systems Analysis and Applied Probability,' which must be completed before taking this course. Prospective students should be able to solve differential equations by using eigenvalues and eigenvectors. Topics of study in 'Introduction to Communication, Control and Signal Processing' include correlation functions, power spectral densities, random processes through linear time-invariant systems, signal estimation and state-space modeling. Students who complete this course will have significantly broadened their understanding of various engineering applications. MIT Professors Alan Oppenheim and George Verghese lead the undergraduate course, which is offered through the institute's Electrical Engineering and Computer Science department. A simple Chinese translation is available.
A list of readings and past quizzes and exams are available for free online. If you're interested in taking this course, visit the Communication, Control and Signal Processing course page.
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