Diff for "MatlabLecturesSchedule" - Methods
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 ⇤ ← Revision 27 as of 2013-02-04 14:58:07 → Size: 3431 Editor: OlafHauk Comment: ← Revision 28 as of 2013-03-08 10:28:27 → ⇥ Size: 3459 Editor: localhost Comment: converted to 1.6 markup Deletions are marked like this. Additions are marked like this. Line 1: Line 1: attachment:mrclogo.gif {{attachment:mrclogo.gif}} Line 17: Line 17: ||6 November 14.00 ||'''Introduction to the CBSU computing system and best practice in computing'''[[BR]]''Overview of CBSU computing resources; using/accessing the computing system; best practice in file management; basic Linux commands''[[BR]][http://imaging.mrc-cbu.cam.ac.uk/meg/Beginners/MatlabIntroCBU?action=AttachFile&do=get&target=RussellComputing.pdf PDF of the lecture] ||Russell Thompson ||||13 November[[BR]]14.00 ||'''Getting started with Matlab'''[[BR]]''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''[[BR]] [attachment:LectureHandouts.pdf Handouts.pdf] [attachment:LectureSlides.pdf Slides] [attachment:Scripts.zip Scrips.zip] ||Yaara Erez ||||20 November 14.00 ||'''Basic Matlab commands'''[[BR]]''Basic commands and functions; loops and conditional statements; tips and tricks''[[BR]] [attachment:Demo.zip Demo] [attachment:Lecture.pdf Lecture] ||Jason Taylor ||||27 November 14.00 ||'''Examples of Matlab applications'''[[BR]]''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'' [attachment:LectureOlaf.pdf Lecture] [attachment:ExamplesOlaf.zip Examples] ||Olaf Hauk ||||4 December 14.00 ||'''Structuring and debugging Matlab code'''[[BR]]''Writing clear and fast Matlab code; editing scripts and functions; debugging Matlab code'' attachment:Examples.zip attachment:lecture ||Danny Mitchell ||||'''12 December 14.00''' [[BR]] note: Wednesday[[BR]]in computer room (not LT) ||'''Visualisation in Matlab'''[[BR]]''Visualisation options in Matlab; creating and editing figures; plotting curves'' ||Matt Davis ||||13 December (Thu) 14.00 ||'''Matlab and SPM'''[[BR]]''Variables and structures in SPM; how to access/check information in SPM; tips and tricks; question time'' ||Rik Henson || ||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''<
>[[http://imaging.mrc-cbu.cam.ac.uk/meg/Beginners/MatlabIntroCBU?action=AttachFile&do=get&target=RussellComputing.pdf|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''<
> [[attachment:LectureHandouts.pdf|Handouts.pdf]] [[attachment:LectureSlides.pdf|Slides]] [[attachment:Scripts.zip|Scrips.zip]] ||Yaara Erez ||||20 November 14.00 ||'''Basic Matlab commands'''<
>''Basic commands and functions; loops and conditional statements; tips and tricks''<
> [[attachment:Demo.zip|Demo]] [[attachment:Lecture.pdf|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'' [[attachment:LectureOlaf.pdf|Lecture]] [[attachment:ExamplesOlaf.zip|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'' [[attachment:Examples.zip]] [[attachment: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 ||

# 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 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

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