CSC550

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CSC550 - Algorithms in Bioinformatics

Computer ScienceGraduateUA - UA General

Course ID

036459

Course Description

This course introduces fundamental results in discrete algorithms for combinatorial problems in bioinformatics and computational biology. The emphasis is on realistic models of computational problems that arise in the analysis of biological data, and practical algorithms for their solution. The content has depth in the area of biological sequence analysis, and breadth in areas such as phylogeny construction, protein structure prediction, and genome rearrangement analysis. Grades are based on homeworks, exams, programming projects, and a class presentation.

Min Units

3

Max Units

3

Repeatable for Credit

No

Grading Basis

GRD - Regular Grades A, B, C, D, E

Career

Graduate

Course Attributes

GIDP - STATD (Statistics and Data Science)

Course Requisites

CSC 545. For both computer science and non-computer science majors, mathematical maturity will be helpful.

May be convened with

CSC450

Component

Lecture

Optional Component

No