Mathematics (MATH) Courses>Mathematical Modelling

MATH377 - Mathematical Modelling

Description

The formulation, analysis and interpretation of mathematical models in various areas of application. Both continuous and discrete deterministic and stochastic models are employed. Mathematical techniques used may include: differential and difference equations, matrix analysis, optimization, simple stochastic processes, decision theory, game theory and numerical methods. The phenomena modelled vary from year to year.

Units

1.5

Hours: lecture-lab-tutorial

3-0-0

Prerequisites

  • Complete all of the following
    • Complete 1 of:
      • MATH110 - Matrix Algebra for Engineers (1.5)
      • MATH211 - Matrix Algebra I (1.5)
    • Complete 1 of:
    • Complete 1 of:
      • MATH201 - Introduction to Differential Equations (1.5)
      • MATH204 - Calculus IV (1.5)
    • Complete 1 of:
      • STAT252 - Statistics for Business (1.5)
      • STAT254 - Probability and Statistics for Engineers (1.5)
      • STAT255 - Statistics for Life Sciences I (1.5)
      • STAT260 - Introduction to Probability and Statistics I (1.5)

Course offered by

Department of Mathematics and Statistics

Course schedules

Summer timetable available: February 15. Fall and Spring timetables available: May 15.

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