Courses



Compulsory Module 1: Mathematics and Information Technology (9 ECTS-Credits, 6 h)
Prerequisites for registration: none
Learning Outcome: Students are familiar with the mathematical basics of digital signal processing. They understand that the process of sampling in time is unlike an intuitive approach not co nnected to any loss of information. They know the effects and limiting factors connected to DFT spectral analysis. Students know and apply the most important hardware and software components of embedded systems and real time systems, know the most prevalent specification languages for embedded systems, the general requirements of embedded operation systems and understand the basic problems of real time processing. Students have a profound understanding of mathematical concepts, tasks and methods of optimization and optimal control. Students know and are able to apply the most important numerical procedures. Students have an overview of inverse problems, associated tasks, the most important numerical methods and questions of model adaptation.
Go to the superordinate section
ML
146301
VO Embedded Systems (VO / 2h / 3 ECTS-AP)
Friedrich Hanser
Details of this course
844280
VU Mathematical Optimisation (VU / 2h / 3 ECTS-AP)
Lukas Neumann
Details of this course
850159
VO Digital Signal Processing (VO / 2h / 3 ECTS-AP)
Viktor Steixner
Details of this course

Notes:
  • There may still be changes in the courses offered as well as room allocation and course dates.
  • The course descriptions found in the English version of the course catalogue are for informational purposes only. Authoritative information can be found in the "Vorlesungsverzeichnis" (German version of the course catalogue).