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

Spring 2017 Schedule

InstructorType Index Section Day(s)/
Time Room
(click for map)
Ocone, Daniel L 00296 01 TTh6 5:00 PM - 6:20 PM HLL-009 BUS

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

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