20.482J Foundations of Algorithms and Computational Techniques in Systems Biology


Class Info

Illustrates computational approaches to solving problems in systems biology. Uses a series of case studies to demonstrate how an effective match between the statement of a biological problem and the selection of an appropriate algorithm or computational technique can lead to fundamental advances. Covers several discrete and numerical algorithms used in simulation, feature extraction, and optimization for molecular, network, and systems models in biology. Students taking graduate version complete additional assignments.

This class has 6.021, 6.034, 6.046, 6.336, 7.91, and 18.417 as prerequisites.

20.482J will not be offered this semester. It will be available in the Spring semester, and will be instructed by B. Tidor and J. K. White.

This class counts for a total of 12 credits. This is a graduate-level class.

You can find more information on MIT OpenCourseWare at the Foundations of Algorithms and Computational Techniques in Systems Biology site.

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Foundations of Algorithms and Computational Techniques in Systems Biology
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case-studies biology computational algorithms

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