CSCI 315
Computational Biology Fall 2014
Division III Quantitative/Formal Reasoning
Cross-listed PHYS 315
This is not the current course catalog

Class Details

This course will provide an overview of Computational Biology, the application of computational, mathematical, statistical, and physical problem-solving techniques to interpret the rapidly expanding amount of biological data. Topics covered will include database searching, DNA sequence alignment, clustering, RNA structure prediction, protein structural alignment, methods of analyzing gene expression, networks, and genome assembly using techniques such as string matching, dynamic programming, hidden Markov models, and expectation-maximization.
The Class: Format: lab three hours per week plus weekly tutorial meeting
Limit: 10
Expected: 8
Class#: 1689
Grading: OPG
Requirements/Evaluation: evaluation will be based on weekly programming assignments, problem sets, a few quizzes and a final project
Extra Info: may not be taken on a pass/fail basis
Prerequisites: programming experience (e.g., CSCI 136), mathematics (PHYS 210 or MATH 150), and physical science (PHYS 142 or 151, or CHEM 151 or 153 or 155), or permission of the instructor
Enrollment Preferences: based on seniority
Distributions: Division III Quantitative/Formal Reasoning
Notes: This course is cross-listed and the prefixes carry the following divisional credit:
PHYS 315 Division III CSCI 315 Division III
Attributes: BGNP Recommended Courses

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