050074 VO Mathematical Modelling in Scientific Computing (2015W)

3.00 ECTS (2.00 SWS), SPL 5 - Informatik und Wirtschaftsinformatik

Moodle

Details

Language: German

Examination dates

Thursday 28.01.2016 08:00 - 09:30 Hörsaal 2, Währinger Straße 29 2.OG
PC-Unterrichtsraum 1, Währinger Straße 29 1.UG Thursday 17.03.2016 13:15 - 14:45 Hörsaal 2, Währinger Straße 29 2.OG
Hörsaal 3, Währinger Straße 29 3.OG Thursday 28.04.2016 13:15 - 14:45 Hörsaal 2, Währinger Straße 29 2.OG
Hörsaal 3, Währinger Straße 29 3.OG Thursday 09.06.2016 13:15 - 14:45 Hörsaal 2, Währinger Straße 29 2.OG
Hörsaal 3, Währinger Straße 29 3.OG

Lecturers

Classes (iCal) - next class is marked with N

    
    Thursday
    08.10.
    08:00 - 09:30
    Hörsaal 2, Währinger Straße 29 2.OG
    
    Thursday
    08.10.
    09:45 - 11:15
    Hörsaal 2, Währinger Straße 29 2.OG
    
    Thursday
    15.10.
    08:00 - 09:30
    Hörsaal 2, Währinger Straße 29 2.OG
    
    Thursday
    22.10.
    08:00 - 09:30
    Hörsaal 2, Währinger Straße 29 2.OG
    
    Thursday
    29.10.
    08:00 - 09:30
    Hörsaal 2, Währinger Straße 29 2.OG
    
    Thursday
    12.11.
    08:00 - 09:30
    Hörsaal 2, Währinger Straße 29 2.OG
    
    Thursday
    19.11.
    08:00 - 09:30
    Hörsaal 2, Währinger Straße 29 2.OG
    
    Thursday
    26.11.
    08:00 - 09:30
    Hörsaal 2, Währinger Straße 29 2.OG
    
    Thursday
    03.12.
    08:00 - 09:30
    Hörsaal 2, Währinger Straße 29 2.OG
    
    Thursday
    10.12.
    08:00 - 09:30
    Hörsaal 2, Währinger Straße 29 2.OG
    
    Thursday
    17.12.
    08:00 - 09:30
    Hörsaal 2, Währinger Straße 29 2.OG
    
    Thursday
    07.01.
    08:00 - 09:30
    Hörsaal 2, Währinger Straße 29 2.OG
    
    Thursday
    14.01.
    08:00 - 09:30
    Hörsaal 2, Währinger Straße 29 2.OG
    
    Thursday
    21.01.
    08:00 - 09:30
    Hörsaal 2, Währinger Straße 29 2.OG

Information

Aims, contents and method of the course

Foundations of digital signal processing: linear systems, transformations (Discrete Fourier Transform, z Transform, FFT), filter, signal sampling and reconstruction

Fundamentals of performance analysis of communication networks (stochastic processes, simple queueing models, Erlang's loss formula)

Basic simulation technics (random numbers, discrete event simulation, applications)

Assessment and permitted materials

Written exam at the end of the course.

Minimum requirements and assessment criteria

The students acquire the skills to apply the mathematical methods presented for analysing related problems in the field of scientific computing and solving them with the help of relevant software support.

Examination topics

Presentation including jointly solved example problems.

Assumed previous knowledge: mathematics according to the module "Mathematische Basistechniken" (especially complex numbers and complex exponential function; matrix calculation, eigenvalues and eigenvectors), formal techniques of scientific computing according to the module "Formale Techniken des Scientific Computing"

Reading list

Oppenheim, Alan; Schafer, Ronald: Discrete-Time Signal Processing. Prentice Hall.

Lyons, Richard: Understanding Digital Signal Processing. 3. Auflage, Pearson 2011.

Meyer Martin: Signalverarbeitung, 7. Auflage. Vieweg, Teubner, Wiesbaden 2013 (ISBN 978-3-8348-0494-5).

L. Kleinrock: Queuing Systems I: Theory. Wiley 1975.

B. Haverkort: Performance of Computer Communication Systems: A Model-based Approach. Wiley 1998.

Baron, Michael: Probability and Statistics for Computer Scientists. Chapman & Hall / CRC 2007 (ISBN 1-58488-641-2).

Überhuber, Christian, Katzenbeisser Stefan: MATLAB 6 Springer, Wien 2000
(ISBN 3-211-83487-7).

Weitere Literatur wird in der VO bekanntgegeben.

Association in the course directory

Last modified: Mo 07.09.2020 15:29