CS 4775

Last Updated

  • Schedule of Classes - February 12, 2019 8:29PM EST
  • Course Catalog - January 26, 2019 2:00PM EST

CS 4775
Computational Genetics and Genomics

Course information provided by the 2018-2019 Catalog.

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.


Prerequisites/Corequisites Prerequisite: BTRY 3010 and at least one course in algorithms.

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

Distribution Category (PBSS-AS)

When Offered Fall.

View Enrollment Information

Syllabi: none

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

  • 4 Credits Stdnt Opt

  • 12382 CS 4775   LEC 001

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  • Instruction Mode: In Person

    Prerequisites: BTRY 3010 and CS 2110 or equivalents.

  • 12383 CS 4775   DIS 201

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  • Instruction Mode: In Person