CS 4775

CS 4775

Course information provided by the Courses of Study 2022-2023.

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 (PBSS-AS, BIO-AS, SDS-AS)

Outcomes
  • 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

View Enrollment Information

Syllabi: none
  •   Regular Academic Session.  Choose one lecture and one discussion. Combined with: BTRY 4840BTRY 6840

  • 4 Credits Stdnt Opt

  • 18818 CS 4775   LEC 001

    • TR Warren Hall 175
    • Aug 22 - Dec 5, 2022
    • Kim, J

  • Instruction Mode: In Person
    Prerequisites: BTRY 3010 and CS 2110 or equivalents.

  • 18819 CS 4775   DIS 201

    • F Warren Hall 175
    • Aug 22 - Dec 5, 2022
    • Kim, J

  • Instruction Mode: In Person