PHYS 315
Computational Biology
Fall 2024
Division III
Q Quantitative/Formal Reasoning
Cross-listed
CSCI 315
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 statistics.
The Class:
Format: lecture
Limit: 10
Expected: 8
Class#: 1618
Grading: no pass/fail option, no fifth course option
Limit: 10
Expected: 8
Class#: 1618
Grading: no pass/fail option, no fifth course option
Requirements/Evaluation:
weekly Python programming assignments, code reviews, problem sets, plus a few quizzes and a final project
Prerequisites:
programming experience (e.g., CSCI 136) and mathematics (PHYS/MATH 210 or MATH 150) and physical science (PHYS 142/151, or CHEM 101/15X), or permission of instructor
Enrollment Preferences:
if over-enrolled, a questionnaire will be circulated
Distributions:
Divison III
Quantitative/Formal Reasoning
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
QFR Notes:
problem sets and programming assignments
Attributes:
BIGP Courses
Class Grid
Updated 12:07 pm
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PHYS 315 - 01 (F) LEC Computational Biology
PHYS 315 - 01 (F) LEC Computational BiologyDivision III Q Quantitative/Formal ReasoningMR 2:35 pm - 3:50 pm
Physics 1141618ClosedInst