Data Mining and Bioinformatics
This course focuses on data mining and data warehousing techniques and their applications in bioinformatics. The course explains the broad scope of bioinformatics, discusses the theory and practice of computational methods and software, and provides insight that will help students gain a comprehensive understanding of the bioinformatics field. Major topics include biological data storage, retrieval, and modeling; data mining literature for biology; distributed and parallel biological databases; visualization tools for biological data analysis; statistical methods for gene expression analysis; molecular sequence analysis; protein-protein interaction analysis; identification and classification of genes and regulatory elements; and biological information integration, interoperability, and bio-ontology.
None presently available.
Ph.D.:
This course does not fulfill core area or core course requirements.
M.S.:
This course fulfills one Software and Information Systems Core Area requirement.
None presently required.
| Semester | Section | Title | Instructor | Credit Hours | Enrolled |
|---|---|---|---|---|---|
| Fall 2013 | LEC | Data Mining/bioinformatic | Dr. Aidong Zhang | 3 | 42/50 |
| Fall 2012 | LEC | Data Mining/bioinformatic | Dr. Aidong Zhang | 3 | 38/35 |
| Fall 2011 | LEC | Data Mining/bioinformatic | Dr. Aidong Zhang | 3 | 30/30 |
| Fall 2010 | LEC | Data Mining/bioinformatic | Dr. Aidong Zhang | 3 | 29/30 |
| Fall 2009 | LEC | Data Mining/bioinformatic | Dr. Aidong Zhang | 3 | 29/30 |
| Fall 2008 | LEC | Data Mining/bioinformatic | Dr. Aidong Zhang | 3 | 13/30 |
| Fall 2007 | LEC | Data Mining/bioinformatic | Dr. Aidong Zhang | 3 | 0/ 0 |