Transmission of Information OpenCourseWare: A Free Graduate Study Course by MIT on Communication Systems Theory
In 'Transmission of Information' OpenCourseWare, graduate students will learn about different communication systems and its applications as well as gain a basic understanding of quantitative theory of information. The free graduate course is offered by the Massachusetts Institute of Technology (MIT) and is part of the Electrical Engineering and Computer Science Department. This course can supplement graduate research areas in systems, communication, control and signal processing.
Transmission of Information: Course Specifics
| Degree Level | Free | Audio | Video | Downloads |
|---|---|---|---|---|
| Graduate | Yes | No | No | Yes |
| Lectures/Notes | Study Materials | Tests/Quizzes |
|---|---|---|
| Yes | Yes | No |
Transmission of Information: Course Description
Graduate students will learn about various applications in communication systems and gain a basic understanding of quantitative theory of information in 'Transmission of Information' OpenCourseWare. The free graduate course is offered by MIT's Electrical Engineering and Computer Science Department. The course includes in-depth lecture topics, such as Gaussian noise, time-varying channels, source coding theorem, optimal lossless coding, channel coding theorem and mathematical definition and properties of information. The OpenCourseWare requires the textbook 'Elements of Information Theory' by T. M Cover and J. A. Thomas. The textbook 'Information Theory and Reliable Communication' by R. G. Gallager is recommended for the course. The graduate course was taught in 2003 by MIT Professors Muriel Medard and Lizhong Zheng in a lecture session format twice a week.
This OpenCourseWare includes lecture notes, problem set assignments and study exam materials. If you would like to take this free course, visit the transmission of communication course page.
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