Studienhandbuch | System Monitoring and Data Science

Inhalt

[ 479SMDS24 ] Studienfach ^(*)System Monitoring and Data Science

^(*) 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 2025W

Lernergebnisse

Kompetenzen
^(*)These result from the subordinate elements

Fertigkeiten	Kenntnisse
^(*)These result from the subordinate elements	^(*)These result from the subordinate elements

Sonstige Informationen

^(*)Students are able to solve current problems from Polymer Engineering and Science by applying knowledge and skills from System Monitoring and Data Science.

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

[ 479SMDS24 ] Studienfach (*)System Monitoring and Data Science

[ 479SMDS24 ] Studienfach ^(*)System Monitoring and Data Science