Introduction to Matlab
Below you will find the schedule of our “Introduction to Matlab” lectures, held in the CBSU West Wing Seminar Room on Wednesdays, 11.00, between November and January. 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 and lectures. The details will be confirmed later. Space 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).
Any suggestions of feedback on our previous lectures would be very welcome.
Sessions will take place in the CBSU lecture theatre.
(Note: This is the old schedule for 2012 - it will be updated soon!)
Date/Time |
Topic |
Presenter |
October 30 Lecture Theatre |
Introduction to the CBSU computing system and best practice in computing |
Russell Thompson |
November 6 |
Hands-on introduction to Linux |
Tibor Auer |
November 13 |
Setting up experiments in E-Prime |
Maarten van Casteren |
November 27 |
Getting started with Matlab |
Yaara Erez |
December 4 |
Basic Matlab commands I |
Jason Taylor |
December 11 |
Basic Matlab commands II |
Olaf Hauk |
December 18 |
Structuring and debugging Matlab code |
Danny Mitchell |
January 15 |
Visualisation in Matlab |
Yaara Erez |
January 22 |
Matlab and SPM/AA |
Tibor Auer |