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CBMF W4761 Computational Genomics. 3 points.

Lect: 3.

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. 

Spring 2022: CBMF W4761
Course Number Section/Call Number Times/Location Instructor Points Enrollment
CBMF 4761 001/12444 M W 5:40pm - 6:55pm
833 Seeley W. Mudd Building
Itsik Pe'er 3 40/100
CBMF 4761 V01/18532  
Itsik Pe'er 3 4/20