Studienhandbuch | System Monitoring and Data Science

Inhalt

^(*) Leider ist diese Information in Deutsch nicht verfügbar.

Workload	Form der Prüfung	Ausbildungslevel	Studienfachbereich	VerantwortlicheR	Anbietende Uni
9 ECTS	Kumulative Fachprüfung	M2 - Master 2. Jahr	Kunststofftechnik	Gerald Roman Berger-Weber	Johannes Kepler Universität Linz

Detailinformationen
Quellcurriculum	Masterstudium Polymer Engineering and Science 2024W
Ziele	^(*)Students are able to solve current problems from Polymer Engineering and Science by applying knowledge and skills from System Monitoring and Data Science.
Lehrinhalte	^(*)The content of teaching results from the content of the individual courses

Untergeordnete Studienfächer, Module und Lehrveranstaltungen
UE ^(*)Digital Signal Processing
VL ^(*)Digital Signal Processing
UE ^(*)Machine Learning: Supervised Techniques
VL ^(*)Machine Learning: Supervised Techniques
UE ^(*)Machine Learning: Unsupervised Techniques
VL ^(*)Machine Learning: Unsupervised Techniques
VL ^(*)Statistical Methods
UE Artificial Intelligence
VL Artificial Intelligence
UE Embedded and Pervasive Systems
VL Embedded and Pervasive Systems
VL Introduction to Machine Learning
VL Software Engineering
KV ^(*)Computational Data Analytics
PR ^(*)Computational Data Analytics
UE ^(*)Computer Vision
VL ^(*)Computer Vision
UE ^(*)Visualization
VL ^(*)Visualization
KV ^(*)Applied Measurement and Control in Polymer Processing
VL ^(*)Structural Health Monitoring
UE Statistical Methods