The Computer Simulation of Realistic Mathematical Models Course introduces you to simple yet powerful ways of using maths and computers to model real-life problems. You will learn how to build and explore models that show how systems like wildlife or diseases behave over time. With easy-to-follow lessons, you’ll use open-source software to create your own simulations and see the results in real time.
From predator-prey interactions to the spread of epidemics, this course helps you understand how maths can describe the world. It’s perfect for anyone interested in the link between science, maths, and computers.
Course Curriculum
✓ Section 01: Introduction
✓ Section 02: Prey-Predator Model
✓ Section 03: Constructing the Model with Open-Source Software
✓ Section 04: Evolution of Epidemics
Learning Outcomes
- Understand the basics of mathematical modelling
- Learn how to use computers to run simulations
- Explore the classic prey-predator model
- Build models using open-source software
- Track and analyse changes in population models
- Study how epidemics spread through a population
- Use graphs to see model results clearly
- Learn to change variables and predict outcomes
- Understand how models help in science and planning
- Gain skills for future study or practical use in data and science
Who is this course for?
This course is for students, teachers, and anyone curious about science, maths, or computer modelling. You don’t need to be an expert. If you enjoy learning how systems work and want to use computers to explore real-world issues, this course is a great fit.
Eligibility Requirements
You don’t need any advanced maths or coding skills to start. Basic computer use and a simple understanding of maths will help, but full guidance is provided.
Career Path
This course can help you explore roles in science, data analysis, education, environmental work, or public health. It also supports further study in maths, physics, or computer science. With these skills, you can help solve real problems using logic and data.
(Learn more about this online course)