CS 4775
Last Updated
- Schedule of Classes - August 2, 2023 12:50PM EDT
- Course Catalog - April 3, 2023 12:59PM EDT
Classes
CS 4775
Course Description
Course information provided by the Courses of Study 2022-2023. Courses of Study 2022-2023 is scheduled to publish mid-June.
Computational methods for analyzing genetic and genomic data. Topics include sequence alignment, hidden Markov Models for discovering sequence features, motif finding using Gibbs sampling, phylogenetic tree reconstruction, inferring haplotypes, and local and global ancestry inference. Prior knowledge of biology is not necessary to complete this course.
When Offered Fall.
Prerequisites/Corequisites Prerequisite: BTRY 3010, CS 2110 or equivalents.
Distribution Category (BIO-AS, PBSS-AS, SDS-AS)
- Understand computational algorithms used for the analysis of genetic and genomic data
- Formulate computational approaches for solving problems in computational genomics
- Understand challenges and limitations in inference methods used in computational genetics and genomics
Regular Academic Session. Choose one lecture and one discussion. Combined with: BTRY 4840, BTRY 6840
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Credits and Grading Basis
4 Credits Stdnt Opt(Letter or S/U grades)
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Class Number & Section Details
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Meeting Pattern
- TR
- Aug 22 - Dec 5, 2022
Instructors
Kim, J
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Additional Information
Instruction Mode: In Person
Prerequisites: BTRY 3010 and CS 2110 or equivalents.
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