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Course Description

Life is sustained by constant change: molecules react, genes are expressed, populations evolve. These dynamic regimes are best represented by mathematical models that explicitly describe these processes.

This seven-week course introduces mathematical modeling of biological systems with an emphasis on dynamic models. To that end, an introduction and refresher of calculus -- the mathematics of change -- is done in the context of classic models like enzyme (Michaelis–Menten) kinetics, Predator-Prey (Lotka-Volterra) equations, and epidemic (Ross-McDonald) models. Modern applications of dynamic models and their combination with data through state-of-the-art statistical inference are then presented with an overview of the challenges and perspectives in a broad context of real-world research.

Learner Outcomes

  • Describe natural processes as explicit mathematical functions
  • Formulate models in the absence of complete mathematical knowledge by implicitly describing known interactions
  • Modify the output of model solution or simulation by changing variables (parameters)
  • Describe the reverse process of inferring parameters from data

Credentials

This course applies toward the Bioinformatics Curiosity digital badge

Textbook Information

Textbook Recommended:

Biocalculus: Calculus, Probability, and Statistics for the Life Sciences (1st Edition, 2014/2015) by James Stewart and Troy Day
ISBN: 9781305114036 |  $274.95

Note: Please remove the textbook at checkout using the appropriate discounts if you do not wish to purchase it.

Prerequisites

Previous knowledge (preferably a full-semester course) of calculus is strongly recommended, but not required -- solid understanding of functions of the form y=f(x) and their 2D graphing is required. If you are unsure that you meet the prerequisite requirements, please contact registrar@faes.org and provide information about your course of interest and background knowledge.

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Section Title
Mathematical Modeling for Life Scientists
Type
Online Asynchronous
Dates
Oct 26, 2022 to Dec 13, 2022
Fee Includes All Costs
Eligible Discounts Can Be Applied at Checkout credit (2 Credits) $1,049.95
Available for Academic Credit
2 Credit(s)
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