Computational Biology
This course is designed for CSE and Bioinformatics graduate students. Computational Biology studies the problems arising from Biology using algorithmic techniques. Typical problems include: sequencing and alignment of DNA and protein sequences; construction and comparison of evolutionary trees. These problems are of central importance in Biology. The course provides insights that will help students gain a comprehensive understanding of computational problems in Biology, and techniques for designing efficient algorithms for solving these problems. Prerequisite: Basic understanding of programming, or molecular biology and genetics.
None presently available.
Ph.D.:
This course does not fulfill core area or core course requirements.
M.S.:
This course does not fulfill core area or core course requirements.
None presently required.
| Semester | Section | Title | Instructor | Credit Hours | Enrolled |
|---|---|---|---|---|---|
| Fall 2013 | LEC | Computational Biology | Dr. Daniel Fischer | 3 | 7/49 |
| Fall 2012 | LEC | Computational Biology | Dr. Daniel Fischer | 3 | 10/49 |
| Fall 2011 | LEC | Computational Biology | Dr. Daniel Fischer | 3 | 11/40 |
| Fall 2010 | LEC | Computational Biology | Dr. Daniel Fischer | 3 | 10/40 |
| Fall 2009 | LEC | Computational Biology | Dr. Daniel Fischer | 3 | 0/ 0 |
| Fall 2008 | LEC | Computational Biology | Dr. Daniel Fischer | 3 | 4/25 |
| Fall 2007 | LEC | Computational Biology | Dr. Daniel Fischer | 3 | 3/25 |
| Fall 2006 | LEC | Computational Biology | Dr. Daniel Fischer | 3 | 6/25 |
| Fall 2005 | LEC | Computational Biology | Dr. Daniel Fischer | 3 | 13/20 |