About this course
Topics covered include:
- linear and nonlinear time series analysis methods for the characterization of complex dynamical systems
- statistical tools
- analysis of biomedical data (e.g. EEG, structural/functional MRI data)
Learning outcomes
Students receive hands-on experience in the analysis of biomedical data with linear/nonlinear univariate, bivariate, and multivariate time series analysis techniques.
Prerequisites for participation
45 CP, B.Sc. Physics/Mathematics/Computer Science; Basics of programming language
Necessary language skill
English
Semester(s) in which the module takes place
Winter Semester
Course type
Practical + Seminar
Course level
Masters
Course start date
28 Oct 2024
Course end date
20 Dec 2024
Involvement period
8 weeks
Teaching mode
Local
Local attendance
Required
Workload in ECTS
15
Graded
Yes
Person in charge of module
Prof. Dr. Klaus Lehnertz
Local module ID
WPP 7