Computational Intelligence & Data Analytics is an area where
knowledge is gained from large amounts of data. The methods originate
from very different areas of machine learning (ML) and data analysis,
such as statistical learning theory, artificial intelligence, soft
computing and others. ML allows for a data-driven approach to develop
systems that increasingly supplements or partially replaces a
conventional model-driven approach. This means that data is analyzed,
models are parameterized with data, and new types of applications are
developed. The very different application domains are, for instance,
energy systems, automobiles, industrial automation, Internet of Things,
marketing, quality control, or process control. A successful application
of ML methods requires on the one hand the careful and systematic
handling of these methods, and on the other hand a kind of professional
“creativity”, i.e. the ability to generate innovation.

Aim of this project was to provide systematic training facilities to
students in this field. In particular, the project established labs and
computer-based exercises for a series of classes, together with an
introductory course for machine learning and data analytics.