CS 598 AGB - Algorithmic Genomic Biology

Spring 2016

TitleRubricSectionCRNTypeHoursTimesDaysLocationInstructor
Algorithmic Genomic BiologyBIOE598AGB62343LCD41100 - 1220 T R  1109 Siebel Center for Comp Sci Tandy Warnow
Algorithmic Genomic BiologyCS598AGB62182S141100 - 1220 T R  1109 Siebel Center for Comp Sci Tandy Warnow

Official Description

Subject offerings of new and developing areas of knowledge in computer science intended to augment the existing curriculum. See Class Schedule or departmental course information for topics and prerequisites. Course Information: May be repeated in the same or separate terms if topics vary.

Section Description

Course description: This course covers four fascinating and related problems: constructing evolutionary trees, computing multiple sequence alignments, genome assembly, and analyzing microbiomes. Students will learn the mathematical and computational foundations in these areas, read the current literature, and do a team research project. The techniques involved include discrete algorithms, graph theory, simulations, and probabilistic analysis of algorithms. The course is appropriate for graduate students in computer science, computer engineering, bioengineering, mathematics, and statistics; graduate students in the biological sciences are also welcome, and will have different homework and exams. Pre-requisites: No biology background is required, but students should have some mathematical maturity, and at least one undergraduate course in algorithm design, data structures, or probability theory. Students without this background (e.g., biology graduate students, or undergraduates in eng