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Course Descriptions

01:640:338 - Discrete and Probabilistic Models in Biology

  • Course Code: 01:640:338
  • Semester(s) Offered: Spring
  • Credits: 3
  • Counts toward math major/minor?: Yes
  • Prerequisites: Math 250, Calc III, and Probability (Math 477 or CS 206 or Stat 381)

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

Textbook:  For current textbook please refer to our Master Textbook List page

Online Course Text

Previous Semesters

 

Schedule of Sections:

01:640:338 Schedule of Classes