Math 338 - Discrete and Probabilistic Models in Biology
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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).
Textbook
The course text is available online at http://www.rutgers.math.edu/courses/338/coursenotes/coursetext.html . This text is free.
Fall 2009 Schedule
Current Semester
Spring 2009. Prof. Ocone
Previous Semesters
| Spring | 2008 | 2007 | 2006 | ||
|---|---|---|---|---|---|
| Prof. Sontag | Prof. Ocone | Prof. Ocone | |||
| Spring | 2005 | 2004 | 2003 | 2002 | 2001 |
| 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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