Artificial Intelligence in (Bio-)Chemical Engineering

The digital transition of the (bio)-chemical industry and research requires new intelligent knowledge and decision-making tools. The increasing availability of data and computational resources over the past decade has led to a resurgence of machine learning-based research. Artificial intelligence has significant advantages over traditional modeling techniques, including flexibility, accuracy, and speed of execution. Therefore, artificial intelligence holds great potential in the digital transformation and full automation in the (bio)-chemical industry.

This course aims to introduce the concepts of artificial intelligence and machine learning and discuss the potential and limitations of different machine learning methods for given (bio)-chemical engineering applications. Moreover, a machine learning and deep learning framework will be introduced during the course, including hands-on practice.