Sustainable implementation of machine learning in production
Participants discover what Data Science is all about. They learn basic methods of preprocessing data and can evaluate them using artificial intelligence approaches. They develop a basic understanding of the application of machine learning and can successfully master practical applications in production.
▶ Preprocessing and provision of data for analysis ▶ Data Mining & Knowledge Discovery in Databases ▶ Artificial Intelligence and Deep Learning ▶ machine learning with data from industrial practice ▶ Case study: Optimizing Industrial Applications with Machine Learning
Group of Participants Engineers in the areas of production, research & development, optimization or planning with a fundamental understanding of data structures and object-oriented programming
Motivation As part of industrial manufacturing, continuously improving ongoing processes is becoming ever more important, e.g. to predictively maintain machines or sustainably improve production processes.
Methodology The course takes place on five consecutive days and ends with an exam. Course content is developed and consolidated in interactive lectures, group work, presentations and case studies.
Institute Chair of Information Management in Mechanical Engineering (IMA) of the RWTH Aachen