MATH 2365: Mathematical Modelling
| Course Format | Lecture 4.0 h + Seminar 0.0 h + Lab. 0.0 h |
| Credits | 3.0 |
Course Description
In this course, students are exposed to a survey of mathematical techniques used to model real-world problems. Students learn about finite difference equations, curve fitting and least-squares regression, applications of calculus, applied matrix algebra, discrete-time dynamical systems, differential equations, and Monte Carlo simulations. Examples are drawn from several areas including biology, economics, medicine, physics, chemistry, data sciences, engineering, and other areas. The students make use of computer programs, such as MATLAB, OCTAVE, or PYTHON, to implement models and run simulations.
Prerequisite(s): A minimum "C-" grade in one of the following: MATH 1271, 1273, 1274, or 1275. Prerequisites are valid for only three years.
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