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Home»Undergraduate Education»Courses»Undergraduate Course Descriptions»CSE184
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CSE184 - Computational Molecular Biology
Units: 4
Course Objectives:
Special Note: Crosslisted with BIMM 184 and BENG 184.
Course Description:
This advanced course covers the application of machine learning and modeling techniques to biological systems. Topics include gene structure, recognition of DNA and protein sequence patterns, classification, and protein structure prediction. Pattern discovery, Hidden Markov models/Support vector machines/Neural network/profiles, Protein structure prediction, Functional characterization of proteins, Functional genomics/proteomics, Metabolic pathways/gene networks.
Format:
3 hours of lecture per week, 1 hour of discussion section per week, and 8 hours of outside preparation.
Prerequisites:
BIOINF 181 and BIOINF 182
Offered:
Winter 2004 (offered by the Biology Department as BIMM 184).
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