Predictive Analytics for Production Systems

This course introduces descriptive and predictive Artificial Intelligence (AI) approaches for different Operations Management problems. In particular, machine learning approaches for unsupervised and supervised learning are introduced. For example, Neural Networks are presented to predict and optimize the performance of operations systems based on data. Applications in the areas of production management, maintenance, and yield prediction are discussed.
An introduction to the basics of programming with Python is provided. This is the basis for own applications and implementations of AI approaches by the students. Moreover, the students will leverage libraries of AI approaches. During the course, the students will work on several case studies and assignments (individually or in groups).