UB - University at Buffalo, The State University of New York Computer Science and Engineering

CSE 536: Computational Biology

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.:

None.

M.S.:

This course does not fulfill core area (depth) or core course (breadth) requirements.

None presently required.

Course Instances
Semester Section Title Instructor Credit Hours Enrolled
Fall 2016 LEC Computational Biology Dr. Daniel Fischer 3 7/35
Fall 2015 LEC Computational Biology Dr. Daniel Fischer 3 9/35
Fall 2014 LEC Computational Biology Dr. Daniel Fischer 3 9/35
Fall 2013 LEC Computational Biology Dr. Daniel Fischer 3 13/40
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
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