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Viewing: INFR 4120 : Bioinformatics Algorithms

Last approved: Fri, 29 Jul 2016 08:06:04 GMT

Last edit: Sun, 24 Jul 2016 14:42:35 GMT

Catalog Pages referencing this course
Programs referencing this course
School of Medicine and Health Sciences
Clinical Research and Leadership (CRL)
INFR
4120
Bioinformatics Algorithms
Bioinformatics Algorithms
Fall 2016
3
Course Type
Lecture
Default Grading Method
Letter Grade
bioinformatics majors
No
No
HSCI 3117 and INFR 3101
Corequisites

20
Dr. Max Alekseyev
Frequency of Offering

Term(s) Offered

Are there Course Equivalents?
No
 
No
Fee Type


No


Algorithmic foundations of bioinformatics; string, combinatorial, graph, and clustering algorithms.
As a result of completing this course, students will be able to: • Describe theoretical problems emerged from biological questions. • Develop practical applications using string, combinatorial, graph and clustering algorithmic techniques. • Integrate biological questions and different theoretical problems of substantially different complexity. • Analyze open problems in bioinformatics. • Manipulate biological data to solve bioinformatics problems using appropriate algorithmic solutions.
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Course Attribute


Key: 10445