Foundations of Algorithms & Computational Techniques in Systems Biology OpenCourseWare: A Graduate Level Free Online Course by MIT
The Massachusetts Institute of Technology offers the 'Foundations of Algorithms & Computational Techniques in Systems Biology ' OpenCourseWare. The free online graduate course is part of the Biological Engineering Department. Students taking this course are sometimes pursuing a Ph.D. in Computational and Systems Biology.
Foundations of Algorithms & Computational Techniques in Systems Biology : Course Specifics
Degree Level | Free | Audio | Video | Downloads |
---|---|---|---|---|
Graduate | Yes | No | No | Yes |
Lectures/Notes | Study Materials | Tests/Quizzes |
---|---|---|
Yes | Yes | No |
Foundations of Algorithms & Computational Techniques in Systems Biology : Course Description
In the 'Foundations of Algorithms & Computational Techniques in Systems Biology ' OpenCourseWare, students can learn about computational problem-solving strategies used in biological systems. The free online course from MIT provides students with information on numerical algorithms and how to apply these skills in networks, systems models in biology, feature extraction and simulation. The lecture course is broken up into three important segments, such as protein modeling, network modeling and image modeling. Students can learn the importance of each segment and learn how the topics relate to the various systems biology applications. Some of the lecture topics from each segment include models of proteins, statistical mechanics and deconvolution. Students can also examine case-studies of algorithms and biological problems and see the benefits of both techniques working together. The MIT on-campus course was taught by Professors Jacob White and Bruce Tidor in 2006 as a lecture class held two times per week.
This OpenCourseWare includes lecture notes and problem set assignments. If you are interested in taking this free course, visit the computational techniques and foundations of algorithms in systems biology course page.
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