BIOCB 4840
Last Updated
- Schedule of Classes - January 15, 2024 7:50PM EST
- Course Catalog - January 15, 2024 7:28PM EST
Classes
BIOCB 4840
Course Description
Course information provided by the Courses of Study 2023-2024.
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 and CS 2110 or equivalents.
Distribution Category (OPHLS-AG)
- 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: BIOCB 6840, CS 4775
-
Credits and Grading Basis
4 Credits Stdnt Opt(Letter or S/U grades)
-
Class Number & Section Details
-
Meeting Pattern
- TR Warren Hall 175
- Aug 21 - Dec 4, 2023
Instructors
Kim, J
-
Additional Information
Instruction Mode: In Person
Prerequisites: BTRY 3010 and CS 2110 or equivalents.
Instructor Consent Required (Add)
-
Class Number & Section Details
-
Meeting Pattern
- F Warren Hall 175
- Aug 21 - Dec 4, 2023
Instructors
Kim, J
-
Additional Information
Instruction Mode: In Person
Share
Disabled for this roster.