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Course Descriptions

The biomathematics degree blends mathematics, biology, and computer science in preparation for continued graduate studies and for careers in the quantitative life sciences.

BMTH 310 - Mathematical Biology

  • Credit Hours: 4R-0L-4C
  • Term Available: F
  • Graduate Studies Eligible: No
  • Prerequisites: MA 211 and MA 212
  • Corequisites: None

This course emphasizes the application of differential equations and probability theory to modeling and analyzing dynamic biological systems. Mathematical topics include ordinary and partial differential equations, discrete dynamical systems, bifurcations, limit cycles, chaos, and probabilistic and stochastic modeling. Biological applications may include, but are not limited to, biochemistry, molecular and cellular biology, epidemiology, neurophysiology, ecology, sociology, and pattern formation.

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