Apr 20, 2024  
2019-2020 Graduate School Course Catalog 
    
  Catalog Home
  Letter from the Chancellor
  2018-2019 Academic Calendar
  The University of North Carolina System
  North Carolina Central University
  The School of Graduate Studies
  General Information
  Policies and Procedures
  College of Arts and Sciences
  College of Behavioral and Social Sciences
  School of Business
  School of Education
  School of Library and Information Sciences
  School of Law
  Course Descriptions
  APPENDIX
  School of Graduate Studies
  PROGRAMS
HELP
2019-2020 Graduate School Course Catalog [ARCHIVED CATALOG]

CISG 5202 - Introduction to Mathematical Methods in Computational Biology (3)

Prerequisites: First year graduate students or the consent of the instructor. A survey of the mathematics needed to understand Bioinformatics tools insightfully. Topics include algebra, statistics and graph theory. The material and examples will be presented in biological context to emphasize their relevance to biological findings. The course serves as a prerequisite for advanced courses in computational biology. The course will cover basic definitions and operations on matrices; combination, permutation, and first order logic; ordinary differential equations; basic probability theory; random variables; independence; conditional expectation; Bayes theorem; expectation and variance; commonly used distributions (discrete and continuous); multivariate distribution; statistical modeling; statistical inference; discrete Markov model; information and entropy; graphs and trees.


Click here for the Spring 2022 Class Schedule