CS 540 - Algorithms for Biological Data Analysis (Put on reserve 9/16/19, will go inactive 8/24/22)

• 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.