This MOOC explains how to model and simulate innovative ideas using MATLAB/Simulink and provides to you a number of methods suitable for modelling technical and economic systems and processes in a wide range of applications.
Modelling and simulation make a particular part of the world easier to define, visualize and understand. Both require the identification of relevant aspects of a situation in the real world and then the use of different types of models for different objectives and the definition of the most suitable model parameters.
This course provides to you a number of methods suitable for modelling technical and economic systems and processes in a wide range of applications. These applications cover a range from image processing via machine learning to knowledge management and modelling a business case.
After introducing the techniques in general, you train their application to real problems employing the widely used modelling and simulation tool MATLAB®.
What will I learn?
- You will be acquainted with the concepts of modelling and simulation from an interdisciplinary point of view.
- You will be able to implement and simulate models using MATLAB®.
- Depending on the selected applications in the selectable chapters section you will acquire further knowledge of Image Processing, Optical Character Recognition, Machine Learning, Business Case Modelling and Knowledge Management.
- If you are an enthusiastic student with only rudimentary programming knowledge you can acquire an understanding of basic MATLAB programming.
Course Schedule:
Chapter 1: Introduction to MATLAB Concepts
Chapter 2: Modelling and Simulation
Chapter 3: The Basic Problem Solving Toolbox
Chapter 4: Advanced Problem Solving Methods
Chapter 5: Statistics and Image Processing
Chapter 6: Machine Learning in a Nutshell
Chapter 7: Optical Character Recognition
Cahpter 8: Face Recognition
