Module MA4330-KP04, MA4330
Biosignal analysis (BioSA)
Duration
1 Semester
Turnus of offer
each summer semester
Credit points
4
Course of studies, specific fields and terms:
- Master MES 2020, optional subject, mathematics / natural sciences
- Master MES 2014, optional subject, mathematics / natural sciences
- Master MES 2011, optional subject, mathematics
- Master Computer Science 2012, compulsory, advanced curriculum analysis
- Master CLS 2010, compulsory, mathematics
Classes and lectures:
- Biosignal analysis (exercise, 1 SWS)
- Biosignal analysis (lecture, 2 SWS)
Workload:
- 65 hours private studies and exercises
- 45 hours in-classroom work
- 10 hours exam preparation
Contents of teaching:
- Hilbert spaces
- Fourier series and Fourier transformation
- generalized functions
- discrete wavelet tranformation
- least square techniques
- application to biological and medical data
Qualification-goals/Competencies:
- Students have deepened knowledges of the mathematical background of signal analysis
- They master different methods of one-dimensional signal analysis
- They have practical skills in the application of these methods
- They have skills in working with Mathematica or MatLab
Grading through:
- written exam
- Exercises
Requires:
Responsible for this module:
Literature:
- S. Mallat : A wavelet tour of signal processing Academic Press, 1998
- A. N. Kolmogorov, S.V. Fomin : Reelle Funktionen und Funktionalanalysis Deutscher Verlag der Wissenschaften 1975
Language:
- offered only in German
Notes:
Prerequisites for attending the module:- None (The competences of the required modules are required for this module, but the modules are not a prerequisite for admission).
Prerequisites for the exam:
- Preliminary examinations can be determined at the beginning of the semester. If preliminary work has been defined, it must have been completed and positively assessed before the initial examination.
Last Updated:
03.04.2021