phy820 - Theorie II (Processing and Analysis of Biomedical Data) (Complete module description)

Module label	Theorie II (Processing and Analysis of Biomedical Data)
Module code	phy820
Credit points	6.0 KP
Workload	180 h ( Präsenzzeit: 56 Stunden Selbststudium: 124 Stunden )
Institute directory	Institute of Physics
Applicability of the module	Master's Programme Hearing Technology and Audiology (Master) > Mastermodule
Responsible persons	Brand, Thomas (module responsibility) Ewert, Stephan (module responsibility) Uppenkamp, Stefan (module responsibility) Brand, Thomas (authorised to take exams) Ewert, Stephan (authorised to take exams) Hohmann, Volker (authorised to take exams) Lücke, Jörg (authorised to take exams) Uppenkamp, Stefan (authorised to take exams)
Prerequisites	Bachelor in Hörtechnik und Audiologie oder entsprechend
Skills to be acquired in this module	This course introduces basic concepts of statistics and signal processing and applies them to real world examples of biomedical data. In the second part of the course, recorded datasets are noise-reduced, analyzed, and discussed in views of which statistical tests and analysis methods are appropriate for the underlying data. The course forms a bridge between theory and application and offers the students the means and tools to set up and analyze their future data sets in a meaningful manner.
Module contents	Normal distributions and significance testing, Monte-Carlo boot strap techniques, Linear regression, Correlation, Signal-to-noise estimation, Principal component analysis, Confidence intervals, Dipole source analysis, Analysis of variance. Each technique is explained, tested and discussed in the exercises
Recommended reading	- Kirkwood B.R. and Sterne A.C., Essential Medical Statistics: 2nd editition. Blackwell Science. Oxford, 2003 - Cho, Z.H. and Singh J. P. J. M.: Foundations of Medical Imaging. John Wiley, New York, 1993 - Kutz, J.N. Data-Driven Modeling and Scientific Computation: Methods for complex systems and Big Data. Oxford University Press, Oxford, 2013
Links
Language of instruction	English
Duration (semesters)	1 Semester
Module frequency	Wintersemester
Module capacity	unlimited
Reference text	Vorlesung: 2 SWS, Übungen: 2 SWS
Type of module	Pflicht / Mandatory
Module level	MM (Mastermodul / Master module)

Type of course	SWS	Frequency	Workload of compulsory attendance
Lecture	2	SuSe or WiSe	28
Exercises	2	--	28
Total module attendance time			56 h

Examination	Prüfungszeiten	Type of examination
Final exam of module		KL