Nov 26, 2022  
2019-2020 Graduate Catalog 
    
2019-2020 Graduate Catalog [ARCHIVED CATALOG]

Add to Portfolio (opens a new window)

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:



Add to Portfolio (opens a new window)