How do sensor data and intelligent algorithms influence product development?
In the Smart Machine Systems module, you will learn how modern machines use sensor technology and data analysis to provide valuable insights for the development and improvement of products. You will not only acquire theoretical knowledge but also apply it directly in practical scenarios. The spectrum ranges from data acquisition to concrete decision support in product development.
What to expect
You will learn how to collect, process and evaluate sensor data in order to gain concrete insights for product development.
Case studies, in-depth sessions and guest lectures from industry will show you how smart machines are applied in various sectors.
You will be introduced to the fundamentals of data acquisition and analysis using modern tools.
Module structure
The Smart Machine Systems module is divided into five thematic areas, covering aspects from relevance to practical implementation.
Relevance of Smart Machine Systems
Importance of smart machine systems for industry and product development
Potential for efficiency, sustainability and innovation
Current developments and trends in the use of smart technologies
Fundamentals of Smart Machine Systems
Structure and functionality of smart machines
Sensor technology and communication interfaces
Integration possibilities in product development
Data Science Fundamentals for Data Analysis
Basics of data analysis with Python and Jupyter Notebooks
Data preparation and visualisation
Introduction to machine learning for industrial applications
Decisions in Product Development
Using machine data as a basis for decision-making
Deriving recommendations for action from analysis results
Implementing data-driven methods in development projects
Module overview
Course
ECTS
SWS
Semester
Lecture: SMS – Smart Machine Systems
3
2
SoSe
∑ 3
∑ 2
[Translate to English:] Weitere Informationen
Responsible for the Module
Prof. Bursac
Contact person for the module
Simon Jess
Language
Deutsch
Form of examination
written examination
Graded?
Yes
Contact for SMS
Contact Simon Jess, if you have any questions about our CAD&C part.
