Studienhandbuch | Signal- and Information Processing

Inhalt

Workload	Mode of examination	Education level	Study areas	Responsible person	Coordinating university
0-31 ECTS	Structure	M2 - Master's programme 2. year	^(*)Informationselektronik	Mario Huemer	Johannes Kepler University Linz

Detailed information
Original study plan	Master's programme Electronics and Information Technology 2019W
Objectives	Students understand and can apply advanced theory and methods in Signal- and Information Processing. Preparation for the master's thesis.
Subject	The content of teaching results from the content of the individual courses.

Subordinated subjects, modules and lectures
Subject Subject for the master's exam: Signal- and Information Processing
UE Machine Learning: Supervised Techniques
VL Machine Learning: Supervised Techniques
UE Machine Learning: Unsupervised Techniques
VL Machine Learning: Unsupervised Techniques
PR Digital Image Processing
VL Digital Image Processing
KV Discrete Time Signal Processing
PR Discrete Time Signal Processing
UE Discrete Time Signal Processing
PR Digital Signal Processing for Communications and Radar Lab
UE Radar Signal Processing
VL Radar Signal Processing
UE Statistical Signal Processing
VL Statistical Signal Processing