AI, Machine Learning & Data

In this semester you will learn:

• to aggregate and prepare given datasets as well as other (open) datasets and use them in data analysis and identify opportunities for predictive analytics
• to use findings from data analysis to preprocess data, apply machine learning algorithms and evaluate the quality and usefulness of produced models, for a defined domain
• to deliver AI projects that follow the three 'Explainable AI' principles of transparency, interpretability, and explainability.

During this semester you work on individual challenges, a group project and an open programme. Each one of these works has a different goal and different context, however, they all follow the same process in terms of domain analysis, data provisioning and predictive modelling.

Exercises
These will be used to get acquainted with new theory regarding domain analysis, data provisioning and machine learning.

Individual challenge
All obtained knowledge will be used to develop an own AI model. Multiple iterations will be built on the AI model to improve the data quality, to apply different machine learning techniques and finetune them, and to apply and to align the requirements of the model with the stakeholder.

Group project
A project will be provided by Fontys partners for which will be investigated if and how predictive modelling can be an added value for there business process. Like the individual challenge, multiple iterations of the AI model will be developed to match the expectations of the Fontys partner and to improve the performance of the model.

Inflow
To maximize success in this semester, prior knowledge from these semesters are suggested:

• AI Basics (highly recommended)
• Business IT & Data Analysis *
• Software Design & Engineering **
• Intelligent Technologies **

* = additional software skills are requested
** = additional data analysis skills are requested

Outflow
After completing this semester, students are suggested to further develop their expertise in:

• (Main) Applied Generative AI
• (Advanced) Enhanced AI Techniques

In Tilburg this semester is provided in combination with other topics.