PHYS 315 Fall 2014 Computational Biology (Q)

Cross Listed as CSCI315
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.
Class Format: lab three hours per week plus weekly tutorial meeting
Requirements/Evaluation: evaluation will be based on weekly programming assignments, problem sets, a few quizzes and a final project
Additional Info: may not be taken on a pass/fail basis
Additional Info2:
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 Preference: based on seniority
Department Notes:
Material and Lab Fees:
Distribution Notes:
Divisional Attributes: Division III,Quantitative and Formal Reasoning
Other Attributes: BGNP Recommended Courses
Enrollment Limit: 10
Expected Enrollment: 8
Class Number: 1688
PHYS 315 - T1 (F) TUT Computational Biology (Q) Division 3: Science and MathematicsQuantitative and Formal Reasoning Daniel P. Aalberts
TBA 1688
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