CSE 527

Computational Biology

Credits

4.0

Lead Instructor

Su Lee

Textbook

None

Course Description

Introduces computational methods for understanding biological systems at the molecular level. Problem areas such as mapping and sequencing, sequence analysis, structure prediction, phylogenic inference, regulatory analysis. Techniques such as dynamic programming, Markov models, expectation-maximization, local search.

Prerequisites

graduate standing in biological, computer, mathematical or statistical science, or permission of instructor.

CE Major Status

None

Course Objectives

none

ABET Outcomes

No outcomes registered

Course Topics

none