|Day & Time
451 Computer Science Building
|Method of Instruction
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.
|40 students (100 max) as of 10:07AM Sunday, March 3, 2024
|Computer Science, Biomedical Engineering, and Medical Informatics
|Barnard College, Columbia College, Engineering:Undergraduate, Engineering:Graduate, General Studies