15 July 2021
on course website
Introduction to Artificial Intelligence, Machine Learning and Neural Networks
Artificial Intelligence (AI) has grown in the last few years from a promising research field into a widely applied technology. Many processes and decisions in our lives are governed by algorithms: from autonomous driving, e-commerce recommendations, traffic predictions to fraud detection. It is important that AI is used correctly, to prevent privacy issues, discriminations and other harm. In this course we explain what AI is, how algorithms work, and how you select, train and implement algorithms.
In this course you get a hands-on introduction into all aspects of modern AI. You will learn the following:
Definition of AI and common usage. Distinction between AI, machine learning, deep learning and classic AI
Explanation of rule based systems and limitations
Representing data as vectors and manipulating data with linear algebra in python
The process of training, testing and evaluating algorithms
Understanding algorithmic bias and how to ensure the ethical and responsible use of AI.
The course consists of a combination of lectures, practical sessions using the Python programming language, and group discussions. The course is an extension of a prevoius Webinar and will also cover the following articles on algorithmic bias and responsible use of AI:
Sieuwert van Otterloo, PhD
Bachelor and Master students from all background are welcome. It is necessary to have basic mathematics experience (linear algebra) and computer literacy skills . The course includes practical sessions where students will use Python and Jupyter notebook to complete assignments. Note that students should bring their own laptop computer.
The aim of the course is to give students with a Business or Science background an understanding of Artificial Intelligence and help them develop basic AI systems.
EUR 550: Course + course materials
EUR 200: Housing fee (optional)
on course website