MatlabLecturesSchedule - Methods

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Introduction to Matlab

Below you will find the schedule of our “Introduction to Matlab” lectures, held in the CBSU lecture theatre on Tuesdays, 14.00, between November 6 and December 11. Matlab is the Swiss Army Knife of data analysis: no matter whether you are analysing neuroimaging data, behavioural data or your latest bank statements, Matlab can make you do things you thought were never possible.

This time, lectures will be combined with hands-on sessions in the computer users room at the CBSU. The details will be confirmed later. Space in the computer users room is limited, so it would be good if we had an idea of how many people we may have to accommodate. If you are interested, please drop me (Olaf Hauk) a line.

Our lectures are aimed at researchers with no or little prior experience to programming (in Matlab or otherwise). We are not intending to provide a full Matlab course, but we hope we can significantly facilitate the first few steps. For other options, see e.g. opportunities at Cambridge University (http://training.cam.ac.uk/ucs/), or on-line tutorials (http://imaging.mrc-cbu.cam.ac.uk/meg/Beginners).

Please note that the first lecture by Russell will be on general computing issues, and is not specific to Matlab.

Any suggestions of feedback on our previous lectures would be very welcome.

Lectures will take place in the CBSU lecture theatre.

Test

Date/Time

Topic

Presenter

6 November 14.00

Introduction to the CBSU computing system and best practice in computing
Overview of CBSU computing resources; using/accessing the computing system; best practice in file management; basic Linux commands
PDF of the lecture

Russell Thompson

13 November
14.00

Getting started with Matlab
First steps in Matlab; the workspace and command window; variables – what they are and what they are for; basic commands; the editor; scripts and functions
Handouts.pdf Slides Scrips.zip

Yaara Erez

20 November 14.00

Basic Matlab commands
Basic commands and functions; loops and conditional statements; tips and tricks
Demo Lecture

Jason Taylor

27 November 14.00

Examples of Matlab applications
Matlab applied to simple problems in EEG/MEG and MRI analysis; simplifying Matlab code using basic matrix algebra; reading and writing data; basic matrix operations Lecture Examples

Olaf Hauk

4 December 14.00

Structuring and debugging Matlab code
Writing clear and fast Matlab code; editing scripts and functions; debugging Matlab code Examples.zip lecture

Danny Mitchell

12 December 14.00
note: Wednesday
in computer room (not LT)

Visualisation in Matlab
Visualisation options in Matlab; creating and editing figures; plotting curves

Matt Davis

13 December (Thu) 14.00

Matlab and SPM
Variables and structures in SPM; how to access/check information in SPM; tips and tricks; question time

Rik Henson