Mathematics Department - Math 338 - Discrete and Probabilistic Models in Biology

Math 338 - Discrete and Probabilistic Models in Biology

General Information

Please see the current semester's course page for syllabus.

Catalog description:

Models for biological processes based on discrete mathematics (graphs, combinatorics) and probabilistics and optimization methods, such as Markov chains and Markov fields, Monte-Carlo simulation, maximum-likelihood estimation, entropy and information. Applications selected from epidemiology, inheritance and genetic drift, combinatorics and sequence alignment of nucleic acids, energy optimization in protein structure prediction, topology of biological molecules.

The prerequisites are Linear Algebra, Math 640:250, Calculus III, Math 640:251, and Probability, either Math 640:477 or Comp. Sci. 198:206 or Statistics 960:381).


The course text is available online at . This text is free.

Schedule Archives

Fall 2018 Schedule

Current Semester

Spring 2010. Prof. Ocone

Previous Semesters

  Prof. Ocone Prof. Sontag Prof. Ocone Prof. Ocone
  Prof. Sontag Prof. Ocone Spring 2003
Prof. Ocone
Spring 2002
Prof. Sontag
Spring 2001
(Old version, see 336)
Profs. Sontag, Sussmann

Disclaimer: Posted for informational purposes only

This material is posted by the faculty of the Mathematics Department at Rutgers New Brunswick for informational purposes. While we try to maintain it, information may not be current or may not apply to individual sections. The authority for content, textbook, syllabus, and grading policy lies with the current instructor.

Information posted prior to the beginning of the semester is frequently tentative, or based on previous semesters. Textbooks should not be purchased until confirmed with the instructor. For generally reliable textbook information—with the exception of sections with an alphabetic code like H1 or T1, and topics courses (197,395,495)—see the textbook list.

This page was last updated on August 01, 2017 at 11:09 am and is maintained by
For questions regarding courses and/or special permission, please contact
For questions or comments about this site, please contact
© 2018 Rutgers, The State University of New Jersey. All rights reserved.