Studienhandbuch | Additional Courses

Inhalt

Workload	Mode of examination	Education level	Study areas	Responsible person	Coordinating university
0-9 ECTS	Structure	M - Master's programme	Mechatronics	Andreas Springer	Johannes Kepler University Linz

Detailed information
Original study plan	Master's programme Mechatronics 2022W
Objectives	The courses selected from the "Additional Courses" subject offering allow students to broaden and deepen their knowledge and skills.

Subordinated subjects, modules and lectures
UE Machine Learning: Unsupervised Techniques
VL Machine Learning: Unsupervised Techniques
UE Programming in Python II
VL Programming in Python II
UE Programming in Python I
VL Programming in Python I
UE Deep Learning and Neural Nets II
VL Deep Learning and Neural Nets II
UE Theoretical Concepts of Machine Learning
VL Theoretical Concepts of Machine Learning
UE Software Development 2
VL Software Development 2
PR Systems Programming
VL Cooling of Electronic Elements
UE Production Automation Systems
KV Adaptive and predictive Control
PR Analysis and Control of vehicle drivelines lab
VL Analysis and Control of vehicle drivelines
UE Selected Aspects and Applications of the Method of Finite Elements
VL Selected Aspects and Applications of the Method of Finite Elements
KV Special Topics of Control Design
KV Special Topics of Control Theory
KV Special Topics in Thermofluiddynamics
PR Computer Aided Product Development
KV Introduction to particle simulation
VL Introduction to Innovationmanagement and Marketing
UE Rotordynamics
VL Rotordynamics
UE Fluid Dynamics 2
VL Fluid Dynamics 2
PR Adanced Lab in Adaptive and Predictive Control