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Introduction to mathematical modelling including deterministic, stochastic and data-driven models.

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Introduction to Mathematical Modelling

Learning Goals

  • Classify and contrast different types of mathematical models
  • Construct a mathematical model by applying the modelling process
  • Simulate a mathematical model using mathematical software
  • Evaluate the effectiveness and accuracy of a mathematical model and its computed solution
  • Describe quantitative and qualitative properties of a system by interpreting a mathematical model

Resources for Students

Prerequisites

  • Ordinary Differential Equations (MATH 215)
  • Multivariable Calculus (MATH 200)
  • Linear Algebra (MATH 221)
  • Mathematical Computing (MATH 210)

Authors

Patrick Walls is an Associate Professor of Teaching in the Department of Mathematics at the University of British Columbia and teaches undergraduate courses in mathematical computing, linear algebra, and optimization.

Lindsey Daniels is an Assistant Professor of Teaching in the Department of Mathematics at the University of British Columbia and teaches undergraduate courses in differential equations, calculus and mathematical modelling.

License

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.

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Introduction to mathematical modelling including deterministic, stochastic and data-driven models.

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