NOTE: Course information changes frequently, including Methods of Instruction. Please revisit these pages periodically for the most recent and up-to-date course information.
Spring 2023 Computer Science, Bioengineering & Med Info W4761 section 001
|Day & Time
|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.|
|Enrollment||53 students (70 max) as of 8:06AM Friday, December 2, 2022|
|Subject||Computer Science, Bioengineering & Med Info|
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