Skip to main content

2015-2016 Undergraduate & Graduate Catalog

Search Help

CIS 635 - Knowledge Discovery and Data Mining

A survey of computational methods for knowledge discovery in bioinformatics and medicine. Topics covered are dynamic programming (sequence alignment, BLAST search engine), Hidden Markov Models (phylogenetic trees, structure prediction), clustering and discriminations models for micro-array analysis (Gene Expression Data), selected data mining software, and working with biological databases. Offered winter semester. Prerequisite: CIS 500.

Credits: 3



If you are in need of assistance please submit any questions or comments.