Last offered Spring 2013
Cross Listed as CSCI315, INTR315
This course will provide an overview of Computational Biology, the application of computational, mathematical, and physical problem-solving techniques to interpret the rapidly expanding amount of biological data. Topics covered will include database searching, DNA sequence alignment, phylogeny reconstruction, RNA and protein structure prediction, methods of analyzing gene expression, networks, and genome assembly using techniques such as string matching, dynamic programming, suffix trees, hidden Markov models, and expectation-maximization.
Class Format: lecture, three hours per week; laboratory, three hours per week
Requirements/Evaluation: evaluation will be based on weekly problem sets, programming assignments, and a few quizzes
Additional Info: may not be taken pass/fail
Additional Info2:
Prerequisites: programming experience (e.g., CSCI 136), mathematics (PHYS 210 or MATH 150 (formerly 105)), 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: 20
Expected Enrollment: 10
Class Number: 3220
| CLASSES | ATTR | INSTRUCTORS | TIMES | CLASS NUMBER |
|---|---|---|---|---|
| PHYS315 LEC Computational Biology (Q) |   |
Daniel P. Aalberts |