PHYS 315
Computational Biology Spring 2018 Division III; Quantative/Formal Reasoning; Cross-listed as PHYS315 / CSCI315
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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: Type: lab three hours per week plus weekly tutorial meeting
Limit: 10
Expected: 8
Class#: 3568
Requirements/Evaluation: evaluation will be based on weekly Python programming assignments, problem sets, a few quizzes and a final project
Extra Info: may not be taken on a pass/fail basis, not available for the fifth course option
Prerequisites: programming experience (e.g., CSCI 136), mathematics (PHYS/MATH 210 or MATH 150), and physical science (PHYS 142 or 151, or CHEM 151 or 153 or 155), or permission of instructor
Enrollment Preference: based on seniority
Distributions: Division III; Quantative/Formal Reasoning;
Attributes: BGNP Recommended Courses;

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