Artificial Intelligence (AI): Modern Methods

About

In case that an on-campus Summer School is not possible due to the Covid-19 pandemic, this module will take place online.

The module will cover the following topics:

What does the Deep-Learning-revolution mean for science and industry?
Which methods of machine learning exist and their relative pros and cons?
For which user cases is the application of these methods useful?
How do I build and train a neural network for a given problem?
Different types of neural networks (CNN, RNN, …)
Generative modelling (AE, VAE, GAN, …)
Healthy scepticism: evaluation of performance and accuracy.
Discussion on ethics and privacy of data.

Target group

Students with knowledge of advanced mathematics (calculus, statistics); at least one programming language (Python, Java, C++ or similar); at least 2 years of undergraduate studies or enrolment in master studies; topics of study: computer sciences, engineering, physics, mathematics, chemistry, biology or materials.

Course aim

The students will achieve working knowledge and hands on experience with the modern methods of the fast growing field of artificial intelligence.

Fee info