PHYS 315
Computational Biology
Fall 2021
Division III
Cross-listed
CSCI 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: lecture
Limit: 10
Expected: 8
Class#: 1241
Grading: no pass/fail option, no fifth course option
Limit: 10
Expected: 8
Class#: 1241
Grading: no pass/fail option, no fifth course option
Requirements/Evaluation:
weekly Python programming assignments, code reviews, problem sets, a few quizzes and a final project
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 Preferences:
based on seniority
Distributions:
Division III
Notes:
This course is cross-listed and the prefixes carry the following divisional credit:
CSCI 315 Division III PHYS 315 Division III
CSCI 315 Division III PHYS 315 Division III
Attributes:
BIGP Courses
Class Grid
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HEADERS
Column header 1
CLASSESColumn header 2DREQColumn header 3INSTRUCTORSColumn header 4TIMESColumn header 5CLASS#
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PHYS 315 - 01 (F) LEC Computational Biology
PHYS 315 - 01 (F) LEC Computational BiologyDivision IIIMR 2:35 pm - 3:50 pm
Physics 1141241
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