CS 540 - Algorithms for Biological Data Analysis (Put on reserve 9/16/19)

Description:
The course introduces the algorithms used in bioinformatics. (Put on reserve 9/16/19, will go inactive 8/24/22)

Prerequisites:
Prerequisite: CS 529.

Credits:
(4)

Learner Outcomes:
Upon successful completion of this course, the student will be able to:

Categorize biological pattern analysis through pattern matching.
Evaluate genomic problems and choose and employ an appropriate solution technique (e.g., patterns alignment, gradient descent, or expectation maximization).
Design and implement probabilistic graphical models using Bayesian inference and Bayesian analysis.
Implement and evaluate Markov Chain solutions using a Hidden Markov Model.
Evaluate Markov Chain Monte- Carlo methods as a means of applying stochastic simulation in bioinformatics.

Learner Outcomes Approval Date:
12/03/15

Anticipated Course Offering Terms and Locations: