CS 4775

Last Updated

  • Schedule of Classes - March 3, 2021 7:15PM EST
  • Course Catalog - March 3, 2021 7:16PM EST

CS 4775
Computational Genetics and Genomics

Course information provided by the Courses of Study 2020-2021.

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)

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:

  •   Regular Academic Session.  Choose one lecture and one discussion. Combined with: BTRY 4840, BTRY 6840

  • 4 Credits Stdnt Opt

  • 10951 CS 4775   LEC 001

  •  

  • Instruction Mode: Hybrid-Online and In Person
    Hybrid: rotational in person attendance to be determined by instructor. Prerequisites: BTRY 3010 and CS 2110 or equivalents.
    Enrollment limited to students who are able to attend in-person classes in the Ithaca area.

  • 21392 CS 4775   LEC 002

  •  
    • TR Online Meeting
    • Sep 2 - Dec 16, 2020

    • Williams, A

  • Instruction Mode: Online

  • 10952 CS 4775   DIS 201

  •  
    • F Online Meeting
    • Sep 2 - Dec 16, 2020

    • Williams, A

  • Instruction Mode: Online