Diff for "MatlabLecturesSchedule" - Methods
location: Diff for "MatlabLecturesSchedule"
Differences between revisions 58 and 59
 ⇤ ← Revision 58 as of 2013-12-17 18:24:32 → Size: 5151 Editor: DannyMitchell2 Comment: ← Revision 59 as of 2013-12-17 18:26:58 → ⇥ Size: 4176 Editor: DannyMitchell2 Comment: Deletions are marked like this. Additions are marked like this. Line 24: Line 24: ----/!\ '''Edit conflict - other version:'''---- Line 36: Line 28: ----/!\ '''Edit conflict - your version:'''----||December 11 ||'''Basic Matlab commands II'''<
>'' basic matrix operations'', functions, tips and tricks <
> [[attachment:OlafMatrixAlgebraPresentation.pdf|Presentation]] and [[attachment:OlafMatrixAlgebraScript.m|Script|&do=get]] ||Olaf Hauk ||||December 18 ||'''Structuring and debugging Matlab code'''<
>''Writing clear and fast Matlab code; editing scripts and functions; debugging Matlab code'' ''[[attachment:Examples and exercises]]'' ||Danny Mitchell ||||January 15 ||'''Visualisation in Matlab'''<
>''Visualisation options in Matlab; creating and editing figures; plotting curves'' ||Yaara Erez ||||January 22 ||'''Matlab and SPM/AA'''<
>''Variables and structures in SPM; how to access/check information in SPM; tips and tricks; question time'' ||Tibor Auer ||----/!\ '''End of edit conflict'''----

# 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 2013 and January 2014.

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.

Lectures will be combined with hands-on sessions. 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. We will also create Doodle polls for each session.

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).

You may want to have a look at other skill-oriented training options.

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

Except for the first lecture, all sessions will take place in the West Wing Seminar Room, on Wednesdays at 11am.

 Date/Time Topic Presenter October 30 Lecture Theatre 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 PDF of the lecture Russell Thompson November 6 Hands-on introduction to Linux How to find your way around our computing system. Basic Linux commands, tips and tricks PDF of the lecture PDF of the lecture Tibor Auer November 13 Setting up experiments in E-Prime Preparing and presenting stimuli, collecting behavioural responses Maarten van Casteren November 27 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 PDF of the lecture - slides PDF of the lecture - handouts Example scripts Yaara Erez November 27 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 PDF of the lecture - slides PDF of the lecture - handouts Example scripts Yaara Erez December 4 Basic Matlab commands I Basic commands and functions; loops and conditional statements; tips and tricks Scripts and lecture Jason Taylor December 11 Basic Matlab commands II basic matrix operations, functions, tips and tricks Presentation and Script Olaf Hauk December 18 Structuring and debugging Matlab code Writing clear and fast Matlab code; editing scripts and functions; debugging Matlab code Examples and exercises Danny Mitchell January 15 Visualisation in Matlab Visualisation options in Matlab; creating and editing figures; plotting curves Yaara Erez January 22 Matlab and SPM/AA Variables and structures in SPM; how to access/check information in SPM; tips and tricks; question time Tibor Auer

None: MatlabLecturesSchedule (last edited 2022-10-31 10:20:59 by OlafHauk)