Computational Biology: Genomes, Networks, Evolution's Full Profile
This course focuses on the algorithmic and machine learning foundations of computational biology, combining theory with practice. We study the principles of algorithm design for biological datasets, and analyze influential problems and techniques. We use these to analyze real datasets from large-scale studies in genomics and proteomics. The topics covered include:
Sep 01, 2008
to Dec 20, 2008
Days of the Week:
Monday, Tuesday, Wednesday, Thursday, Friday, Saturday, Sunday
- Level of Difficulty: Beginner
- Size: Massive Open Online Course
- Instructors: Prof. James Galagan, Prof. Manolis Kellis
- Cost: Free
- Institution: MIT OCW
- Topics: Design, Machine Learning, Biology
About MIT OCW:
MIT OpenCourseWare (OCW) is a web-based publication of virtually all MIT course content. OCW is open and available to the world and is a permanent MIT activity.
MIT OCW Offers Courses In:
Science, Computer, Art
Questions about Computational Biology: Genomes, Networks, Evolution
Want more info about Computational Biology: Genomes, Networks, Evolution?
Get free advice from education experts and Noodle community members.
MIT OpenCourseWare (MIT OCW) is an initiative of the Massachusetts Institute of Technology (MIT) to put all of the educational materials from its undergraduate- and graduate-level courses online, partly free and openly available to anyone, anywhere.