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| = Introduction to Matlab = | {{attachment:mrclogo.gif}} |
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| Below you will find the schedule of our “Introduction to Matlab” lectures, held at the CBSU 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. | = Introduction to Scientific Computing and Matlab = Below you will find the schedule of our “Introduction to Scientific Computing and Matlab” workshops, held in the CBSU West Wing Seminar Room on Wednesdays, 11.00, between October 2014 and January 2015. |
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| 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 a line. | 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. |
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| 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 larger data analysis at the CBU, especially for neuroimaging data, is performed on our high-performance [[http://intranet.mrc-cbu.cam.ac.uk/computing/|computer cluster]], using the operating system Linux. Some of our workshops will cover the basics of our computing system, good research practice in scientific computing, basic linux commands and an introduction to parallel computing. |
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| Please note that the first lecture by Russell will be on general computing issues, and is not specific to Matlab. | 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 workshops 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 or Linux 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 [[education|skill-oriented training options.]] |
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| Except for the first lecture, all sessions will take place in the '''West Wing Seminar Room, on Wednesdays at 11am.''' ||<tablewidth="734px" tableheight="653px">'''Date/Time''' ||'''Topic''' ||'''Presenter''' || ||October 30 Lecture Theatre ||'''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''<<BR>>[[attachment:Intro_to_CBU_computing_2013.pdf|PDF of the lecture]] ||Russell Thompson || ||November 6 ||'''Hands-on introduction to Linux'''<<BR>>''How to find your way around our computing system. Basic Linux commands, tips and tricks''<<BR>>[[attachment:2_1_Linux.pdf|PDF of the lecture]]<<BR>>[[attachment:2_2_CBU.pdf|PDF of the lecture]] ||Tibor Auer || ||November 13 ||'''Setting up experiments in E-Prime'''<<BR>>''Preparing and presenting stimuli, collecting behavioural responses''<<BR>> ||Maarten van Casteren || ||November 27 ||'''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:MatlabBasics_slides.pdf|PDF of the lecture - slides]]<<BR>>[[attachment:MatlabBasics_handouts.pdf|PDF of the lecture - handouts]]<<BR>>[[attachment:MatlabBasics_examples.zip|Example scripts]] ||Yaara Erez || ||November 27 ||'''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:MatlabBasics_slides.pdf|PDF of the lecture - slides]]<<BR>>[[attachment:MatlabBasics_handouts.pdf|PDF of the lecture - handouts]]<<BR>>[[attachment:MatlabBasics_examples.zip|Example scripts]] ||Yaara Erez || ||December 4 ||'''Basic Matlab commands I'''<<BR>>''Basic commands and functions; loops and conditional statements; tips and tricks''<<BR>> [[attachment:JTaylorMatlabLectureDemo.zip|Scripts and lecture]] ||Jason Taylor || ||December 11 ||'''Basic Matlab commands II'''<<BR>>'' basic matrix operations'', functions, tips and tricks <<BR>> [[attachment:OlafMatrixAlgebraPresentation.pdf|Presentation]] and [[attachment:OlafMatrixAlgebraScript.m|Script|&do=get]] ||Olaf Hauk || ||December 18 ||'''Structuring and debugging Matlab code'''<<BR>>''Writing clear and fast Matlab code; editing scripts and functions; debugging Matlab code'' <<BR>> [[attachment:examples_and_exercises.zip]] ||Danny Mitchell || ||January 15 ||'''Visualisation in Matlab'''<<BR>>''Visualisation options in Matlab; creating and editing figures; plotting curves''<<BR>>[[attachment:MatlabVisualisation-Slides.pdf|PDF of the lecture - slides]]<<BR>>[[attachment:MatlabVisualisation_handouts.pdf|PDF of the lecture - handouts]]<<BR>>[[attachment:MatlabVisualisation_examples.zip|Example scripts]] ||Yaara Erez || ||January 22 ||'''Matlab and SPM/AA'''<<BR>>''Variables and structures in SPM; how to access/check information in SPM; tips and tricks; question time''<<BR>>[[attachment:Matlab - SPM-AA.pdf]]<<BR>>[[attachment:20140122_material.zip|Material.zip]] ||Tibor Auer || |
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| ||'''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)''|| 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)''|| Yaara Erez|| ||20 November 14.00|| '''Basic Matlab commands''' ''(Basic commands and functions; loops and conditional statements; tips and tricks)''|| Jason Taylor|| ||27 November 14.00|| '''Structuring and debugging Matlab code''' ''(Writing clear and fast Matlab code; editing scripts and functions; debugging Matlab code)''|| Danny Mitchell|| ||4 December 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)''|| Olaf Hauk|| ||11 December 14.00|| '''Visualisation in Matlab''' ''(Visualisation options in Matlab; creating and editing figures; plotting curves)''|| Matt Davis and Ediz Sohoglu|| |
Introduction to Scientific Computing and Matlab
Below you will find the schedule of our “Introduction to Scientific Computing and Matlab” workshops, held in the CBSU West Wing Seminar Room on Wednesdays, 11.00, between October 2014 and January 2015.
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.
Any larger data analysis at the CBU, especially for neuroimaging data, is performed on our high-performance computer cluster, using the operating system Linux. Some of our workshops will cover the basics of our computing system, good research practice in scientific computing, basic linux commands and an introduction to parallel computing.
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 workshops 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 or Linux 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 |
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 |
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 |