Distributed Algorithms OpenCourseWare: Free Graduate Level Course on Distributed Algorithms by MIT
Examine research data in the area of distributed algorithms with MIT's free OpenCourseWare, 'Distributed Algorithms.' Students will gain a preparative understanding of the most vital results gathered from research in this field. This online course is offered at the graduate level by MIT and is suitable for anyone working toward a master's degree in Electrical Engineering or Computer Science. An understanding of mathematical proofs is required to get the most out of this course.
Distributed Algorithms: Course Specifics
| Degree Level | Free | Audio | Video | Downloads |
|---|---|---|---|---|
| Graduate | Yes | No | No | Yes |
| Lectures/Notes | Study Materials | Tests/Quizzes |
|---|---|---|
| Yes | Yes | No |
Distributed Algorithms: Course Description
For over two decades, distributed algorithms have advanced significantly as a research field. As their applications continue to grow, students seeking an advanced degree such as a master's degree in Computer Science can find beneficial preparation through this OpenCourseWare from MIT. Professor Nancy Lynch guides participants through various topics, beginning with synchronous networks, broadcast and convergecast. Later, students will move on to other topics within the realm of distributed algorithms such as Byzantine agreement and asynchronous distributed computing. Students will also learn how to optimize algorithms and to determine the level of 'fault tolerance' in their algorithms. This OpenCourseWare is presented in lecture format with readings and problem set homework assignments. It is strongly recommended that students have prerequisite knowledge of mathematical proofs, computation and other related concepts upon downloading the course materials.
Lecture notes, readings, and homework assignments are all available online. For more detailed information, visit MIT's OpenCourseWare site page for distributed algorithms.
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