Computational Biology OpenCourseWare: MIT's Free Undergraduate Class on Computational Biology

Published Jan 30, 2009

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Learn the fundamentals of algorithm design for the purpose of analyzing biological datasets in 'Computational Biology: Genomes, Networks and Evolution,' a free OpenCourseWare offered by the Massachusetts Institute of Technology (MIT). This online program is available for both graduate and undergraduate students through the MIT Department of Electrical Engineering and Computer Science.

Computational Biology: Genomes, Networks and Evolution: Course Specifics

Degree Level Free Audio Video Downloads
Undergraduate Yes No No Yes

Lectures/Notes Study Materials Tests/Quizzes
Yes Yes No

Computational Biology: Genomes, Networks and Evolution: Course Description

Students in this free OpenCourseWare offered through MIT will combine theory with practice as they learn to analyze biological datasets by using actual studies in genomics and proteomics. Working through five problem sets, students will explore biological sequence analysis, comparative genomics, evolutionary theory, gene expression analysis, genome duplication, hidden Markov models, network motifs and RNA folding. This course is offered for both graduate and undergraduate students in the electrical engineering and computer science sequence with the graduate version of the class, including more assignments and a larger-scale final project. Prerequisites include 'Structure and Interpretation of Computer Programs' and 'Probabilistic Systems Analysis and Applied Probability.' MIT Professors Piotr Indyk and Manolis Kellis lead this course, which requires special software.

A list of readings, lecture and recitation notes, problem sets and supporting files and a practice midterm exam are available for free online. If you're interested in taking this course, visit the Computational Biology course page.

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