CMSC 27600 - Computational Biology

Institution:

University of Chicago

Subject:

Description:

PQ: Familiarity with basic discrete mathematics/statistics/algorithms and biology is helpful but not required. This course serves as a general introduction to the basic algorithms used to understand current problems in biology. Topics may include sequence alignment algorithms to study DNA and protein sequences, algorithms and experiments for protein structure prediction, dynamics, and folding, clustering and machine learning methods for gene expression analysis, computational models of RNA structure, and DNA computing and self-assembly. N. Hinrichs. Spring. Not offered 2009 C10; will be offered 201 0 -11.

Credits:

3.00

Credit Hours:

Prerequisites:

Corequisites:

Exclusions:

Level:

Instructional Type:

Lecture

Notes:

Additional Information:

Historical Version(s):

Institution Website:

WWW.UCHICAGO.EDU

Phone Number:

(773) 702-1234

Regional Accreditation:

North Central Association of Colleges and Schools

Calendar System:

Quarter

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