Lecture Programm
Erfolgreicher Start Vorlesung "Python in Production System Engineering"
In the design and use of production systems, the integration and analysis of provided information about the structure and behaviour of production systems is becoming increasingly important.
XML and Json data formats are playing an increasingly important role in the provision of information.
Python is an easy-to-use programming technology for engineering students to integrate, analyse and visualise this information.
24 students took part in the block course and acquired knowledge of methods and technologies for implementing data-driven engineering activities and object-orientated software development.
Dozent: Prof. Dr.-Ing. habil. Arndt Lüder - Python in Production System Engineering
You can find selected Master's projects topics finden Sie here.
Overview of our courses
Bachelor |
Business Administration for Engineers (BWLING) |
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Bachelor |
Factory Operations (FO) |
Dr.-Ing. Ulf Bergmann | |
Bachelor |
Fundamentals in Factory Operation (GDL_FA) |
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Bachelor |
Fundamentals of Electric Vehicle Production |
Dr.-Ing. Ulf Bergmann |
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Master |
Advanced Applications of Industry 4.0-Technologies (AA-40T) |
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Master |
Advanced Seminar in Factory Operations (APF) |
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Master |
Factory Organisaton (BO) |
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Master |
Digital Production Engineering (DPT) |
Lecture series together with IWF and IFQ |
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Master |
Establishing digital engineering chains (DEC) |
Prof. Arndt Lüder | |
Master | EcoFactory (Fbök) Summer Semester German |
Dipl.-Ing. Gerd.Wagenhaus | |
Master |
Factory Automation / Industrial Robots (FAIR) |
Prof. Arndt Lüder | |
Master | Industrial Project Management (IPM) Winter Semester German |
Dr.-Ing. Ulf Bergmann | |
Master | Assembly Systems (MoSys) Summer Semester German |
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Master |
Production System Planning (PSP) Summer Semester German |
Dr.-Ing. Ulf Bergmann | |
Master |
Start-up of technical innovations (Start-up) |
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Master |
Systems engineering (SE) |
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Master |
Technical Innovation Management (TIM) |
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Master |
VR/AR-Technologies in Industrial Environment |
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Master |
Time Management and Data Collection (ZMD) |