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Spring 2023 Computer Science, Bioengineering & Med Info W4761 section 001
COMPUTATIONAL GENOMICS

Call Number 12397
Day & Time
Location
TR 5:40pm-6:55pm
Points 3
Grading Mode Standard
Approvals Required None
Instructor Itsik Pe'er
Type LECTURE
Method of Instruction In-Person
Course Description Prerequisites: Working knowledge of at least one programming language, and some background in probability and statistics. Computational techniques for analyzing genomic data including DNA, RNA, protein and gene expression data. Basic concepts in molecular biology relevant to these analyses. Emphasis on techniques from artificial intelligence and machine learning. String-matching algorithms, dynamic programming, hidden Markov models, expectation-maximization, neural networks, clustering algorithms, support vector machines. Students with life sciences backgrounds who satisfy the prerequisites are encouraged to enroll.
Web Site Vergil
Department Computer Science
Enrollment 53 students (70 max) as of 8:06AM Friday, December 2, 2022
Subject Computer Science, Bioengineering & Med Info
Number W4761
Section 001
Division Interfaculty
Campus Morningside
Section key 20231CBMF4761W001

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SIS update 12/02/22 08:06    web update 12/02/22 09:25