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Spring 2014 Computer Science, Bioengineering & Med Info W4761 section 001
COMPUTATIONAL GENOMICS

Call Number 14476
Day & Time
Location
MW 4:10pm-5:25pm
1127 Seeley W. Mudd Building
Points 3
Approvals Required None
Instructor Itshack Pe'er
Type LECTURE
Course Description Prerequisites: Introductory probability and statistics and basic programming skills. Provides comprehensive introduction to computational techniques for analyzing genomic data including DNA, RNA and protein structures; microarrays; transcription and regulation; regulatory, metabolic and protein interaction networks. The course covers sequence analysis algorithms, dynamic programming, hidden Markov models, phylogenetic analysis, Bayesian network techniques, neural networks, clustering algorithms, support vector machines, Boolean models of regulatory networks, flux based analysis of metabolic networks and scale-free network models. The course provides self-contained introduction to relevant biological mechanisms and methods.
Web Site CourseWorks
Department Computer Science
Enrollment 18 students (50 max) as of 12:24AM Thursday, April 24, 2014
Final Exam Day/Time May 12
M 4:10pm-7:00pm
Final Location 1127 Seeley W. Mudd Building
Subject Computer Science, Bioengineering & Med Info
Number W4761
Section 001
Division Interfaculty
Open To Columbia College, Engineering and Applied Science: Undergraduate, General Studies, School of Continuing Education, Global Programs, Graduate School of Arts and Science, School of the Arts, International and Public Affairs, Barnard, Engineering and Applied Science: Graduate
Campus Morningside
Section key 20141CBMF4761W001

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SIS update 04/24/14 00:24    web update 04/24/14 15:02