CIS 635 - Knowledge Discovery and Data Mining

Institution:

Grand Valley State University

Subject:

Description:

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. Prerequisite: CIS 500.

Credits:

3.00

Credit Hours:

Prerequisites:

Prerequisite: CIS 500.

Corequisites:

Exclusions:

Level:

Instructional Type:

Other

Notes:

Additional Information:

Historical Version(s):

Institution Website:

www.gvsu.edu

Phone Number:

(616) 331-2020

Regional Accreditation:

North Central Association of Colleges and Schools

Calendar System:

Semester

The Course Profile information is provided and updated by third parties including the respective institutions. While the institutions are able to update their information at any time, the information is not independently validated, and no party associated with this website can accept responsibility for its accuracy.