INTR 315 - Computational Biology

Institution:

Williams College

Subject:

Interdisciplinary Studies

Description:

This course will provide an overview of Computational Biology, the application of computational, mathematical, and physical problem-solving techniques to interpret the rapidly expanding amount of biological data. Topics covered will include database searching, DNA sequence alignment, phylogeny reconstruction, RNA and protein structure prediction, methods of analyzing gene expression, networks, and genome assembly using techniques such as string matching, dynamic programming, suffix trees, hidden Markov models, and expectation-maximization.

Credits:

3.00

Credit Hours:

Prerequisites:

Programming experience (e.g., CSCI 136), mathematics (PHYS 210 or MATH 105), and physical science (PHYS 142 or 151, or CHEM 151 or 153 or 155), or permission of the instructor

Corequisites:

Exclusions:

Level:

Instructional Type:

Lecture

Notes:

Additional Information:

Historical Version(s):

Institution Website:

www.williams.edu

Phone Number:

(413) 597-3131

Regional Accreditation:

New England Association of Schools and Colleges

Calendar System:

Four-one-four plan

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