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After completing this course you will be able to:
- Describe and apply key concepts in data processing and signal analysis by using Matlab (EK4).
- Master basic programming skills and the syntax of the Matlab programming language (EK4).
- Implement a magneto-encephalographic (MEG) data analysis in the frequency domain (EK1, EK4).
- Build a full brain fMRI analysis using the required theoretical knowledge (EK1, EK4).
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In modern psychological research, sophisticated signal analysis techniques have become standard practice. Therefore, psychologists require knowledge of the technicalities involved in collecting signals and their subsequent processing using dedicated software packages. To use such a software package for sophisticated signal analyses, knowledge of basic programming skills in combination with technical calculations is needed. Matlab is such a comprehensive software package that is widely used for signal processing, data analysis and visualization of complex datasets.
In this course, you get introduced to the key concepts in data processing and signal analysis. The course focuses on a conceptual understanding and will avoid most of the mathematical complexities. Conceptualization of signal processing techniques and the development of programming skills are intertwined: you will develop practical Matlab skills to analyze and visualize various types of signals and data using the introduced techniques.
This all culminates in a frequency analysis of a magneto-encephalographic (MEG) signal, resulting in a Time Frequency Representation, and the analysis, including contrasts, of a full brain fMRI dataset.
Topics that are covered: basic matrix algebra, basic programming concepts (e.g. functions, loops, logical operators), signal collection (time resolution, amplitude resolution, analog to digital conversion, Nyquist theorema, averaging), signals in the frequency domain (Fourier transformation), Linear Time Invariant Systems, multiple linear regression, convolution.
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Placement procedure
Bachelor students in psychology have priority. In case we have too few computers for the practical we might reject students. However, this has so far not happened. We always found a solution.
Exam information
• Hands-on computer exercises (part of practicals)
• Written examination: 12 multiple-choice questions and 3 to 4 open-ended questions
• A mark of 5.5 or higher on both the hands-on exercises and the written examination is required to pass the examination. |
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