Spring 2024 Computer Science, Biomedical Engineering, and Medical Informatics W4761 section 001

COMPUTATIONAL GENOMICS

Call Number 12050
Day & Time
Location
MW 5:40pm-6:55pm
1127 Seeley W. Mudd Building
Points 3
Grading Mode Standard
Approvals Required None
Instructor Itsik Pe'er
Type LECTURE
Method of Instruction In-Person
Course Description

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 32 students (60 max) as of 5:06PM Friday, July 12, 2024
Subject Computer Science, Biomedical Engineering, and Medical Informatics
Number W4761
Section 001
Division Interfaculty
Section key 20241CBMF4761W001