SOW-MKI54
MatLab Skills
Course infoSchedule
Course moduleSOW-MKI54
Credits (ECTS)3
Category-
Language of instructionEnglish
Offered byRadboud University; Faculty of Social Sciences; Artificial Intelligence;
Lecturer(s)
Contactperson for the course		L.E.C. Jacques
Other course modules lecturer
Coordinator		dr. ing. L.P.J. Selen
Other course modules lecturer
Examiner		dr. ing. L.P.J. Selen
Other course modules lecturer
Academic year2018
Period
PER1  (03/09/2018 to 04/11/2018)
Starting block
PER1
Course mode
full-time
RemarksIf you have taken SOW-PSB3BC35E (Signal Analysis and Matlab) you should not take this course.
Registration using OSIRISYes
Course open to students from other facultiesNo
Pre-registrationNo
Waiting listNo
Placement procedure-
Aims
1. After this course students will know the basic syntax for Matlab.
2. They will be able to write their own analysis scripts in Matlab.
3. They understand that Matlab was developed for matrix calculations and are able to code accordingly.
Content

During this course you will learn basic Matlab skills. The focus will be on brain imaging data, but the techniques are also applicable in other domains. Students will develop practical Matlab skills to analyze and visualize various types of signals.

Topics that will be covered: basic matrix algebra, basic programming concepts (e.g. functions, loops, logical operators), signals in the time domain, signals in the frequency domain (Fourier transformation), Linear Time Invariant Systems, multiple linear regression, convolution. This will all culminate in a frequency analysis of an MEG signal, resulting in a Time Frequency Representation, and the analysis, including contrasts, of a full brain fMRI dataset.

Levels
AI-MA

Test information
The exam is a programming exercise that needs to be solved in 4h, this makes up for 80% of the final grade. The practical assignments make up for the remaining 20%. There will be no written exam.

Prerequisites
For this course you need basic knowledge about Linear Algebra, especially matrix multiplication, matrix inversion, solving a system of linear equations. Also some basic programming knowledge is needed (‘for', ‘while', program structure diagrams). If you have already taken PSB3BC35E (Signal Analysis and Matlab) in the psychology program, you should not take this course.

Contact information
Dr. Luc Selen; l.selen@donders.ru.nl

Recommended materials
Syllabus
Syllabus ‘Signal Processing and Matlab', available on Brightspace.

Instructional modes
Assignments

General
Students are supposed to hand in weekly assignments that they make in their own time - they make up 20% of the final grade. There will be 5 assignments. In the sixth week, there will be a practical programming exam.

Lecture

General
Every week, we will have an introductory lecture to explain the basic concepts for that week. Afterwards, we move to a computer hall to work on the assignments, where a Teaching Assistant will be available to guide and help. In the sixth week, there will be a practical programming exam.

Tests
Exam
Test weight80
Test typeExam
OpportunitiesBlock PER1, Block PER2

Assignment
Test weight20
Test typeAssignment
OpportunitiesBlock PER1