In this repository you can find all the needed material for the assignments related to the 4th year Autonomous & Intelligent Systems course of Fontys Mechatronics.
Each assignment contains all the information that you might need for achieving your learning goals. Please look at each assignment folder and read the README.md file for getting to know what is inside the folder and where to find the information that you might seek.
We will use Python as our main programming language and specific tools & libraries which are required for machine learning, deep learning and visualization. You also need to install JupyterLab to be able to run the given notebooks
Follow these instructions to set-up the Software environment.
After your installation you can start the assignments. There are two main assignments with several sub-Assignments. For all the assignments there are tutorials provided to get you started. For each sub-assignment a jupyter notebook is provided to guide you trough the deliverables.
The two main assignments have a hard deadline (end wk3 and end wk6) and should be handed in on canvas.
- in Assignment 1 you will learn how to gather and analyze your own sensor data and you will learn how to classify this data using several Machine Learning algorithms
You can find Assignment1 here.
- in Assignment 2 you will dive into the world of neural networks and Deep Learning.