Computer Science 315 - Bioinformatics

Institution:

St Olaf College

Subject:

Description:

This course addresses computational problems arising from the need to store, access, transform, and utilize DNA-related data. Topics from computer science central to the development of problem-solving tools include: exhaustive search; algorithms (including dynamic programming, divide-and-conquer, graph and greedy algorithms); combinatorial pattern matching; clustering and trees; and hidden Markov models. Prerequisites: Computer Science 253, or Computer Science 251 and Biology 225, or equivalent computer science and biology study, or permission of instructor.

Credits:

3.00

Credit Hours:

Prerequisites:

Corequisites:

Exclusions:

Level:

Instructional Type:

Lecture

Notes:

Additional Information:

Historical Version(s):

Institution Website:

www.stolaf.edu

Phone Number:

(507) 786-2222

Regional Accreditation:

North Central Association of Colleges and Schools

Calendar System:

Four-one-four plan

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