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.
Date/Time |
Topic |
Presenter |
6 November 14.00 |
Introduction to the CBSU computing system and best practice in computing |
Russell Thompson |
13 November |
Getting started with Matlab |
Yaara Erez |
20 November 14.00 |
Basic Matlab commands |
Jason Taylor |
27 November 14.00 |
Examples of Matlab applications |
Olaf Hauk |
4 December 14.00 |
Structuring and debugging Matlab code |
Danny Mitchell |
12 December 14.00 |
Visualisation in Matlab |
Matt Davis |
13 December (Thu) 14.00 |
Matlab and SPM |
Rik Henson |