Mathematical simulation models are commonly divided into deterministic, stochastic, and hybrid models. Moreover, deterministic models produce fixed outcomes based on inputs, while stochastic models include randomness and probability. However, hybrid models combine both approaches, allowing more realistic simulation of complex systems.
Course Curriculum
| Section 01: Introduction | |||
| Introduction | 00:04:00 | ||
| Section 02: Prey-Predator Model | |||
| Pure prey-predator model | 00:06:00 | ||
| Equilibrium points and their stability | 00:05:00 | ||
| Equilibrium points in the prey-predator model | 00:03:00 | ||
| Section 03: Constructing the Model with Open-Source Software | |||
| Introduction to Scilab | 00:03:00 | ||
| Constructing the model with Scilab part 1 | 00:09:00 | ||
| Constructing the model with Scilab part 2 | 00:18:00 | ||
| How parameters affect the output of the model | 00:09:00 | ||
| Influence of fishing on the model | 00:11:00 | ||
| Addition of logistic terms to the model | 00:13:00 | ||
| Section 04: Evolution of Epidemics | |||
| Model on the evolution of epidemics | 00:16:00 | ||
| Order Your Certificate | |||
| Order Your Certificate | 00:00:00 | ||



All Courses for £49

