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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, 14.30, between October and December 2017. |
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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. | 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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| 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). | 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.Our Matlab workshops also serve as an introduction to scientific computing, which will be useful even if you are more likely to use R, Python etc. in your work. |
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| Please note that the first lecture by Russell will be on general computing issues, and is not specific to Matlab. | 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). Individual sessions of this workshop series will be advertised via our "skillstraining" mailing list (see below). To hear more about skills-oriented training opportunities at the CBU, please register on this mailing list: http://lists.mrc-cbu.cam.ac.uk/mailman/listinfo/skillstraining (Non-CBU people can subscribe by sending an e-mail to skillstraining-subscribe (at) mrc-cbu (dot) cam (dot) ac (dot) uk). You may want to have a look at other [[education|skill-oriented training options.]] |
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| All sessions will take place in the '''West Wing Seminar Room, on Wednesdays at 14.30.''' They will take about 1.5 hours, with an opportunity to practice and ask questions afterwards. | |
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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|| |
'''Note:''' The materials (PDFs etc.) attached to the schedule below are still from last year, and may change before or just after this year's workshops. ||<tablewidth="734px" tableheight="653px">'''Date/Time''' ||'''Topic''' ||'''Presenter''' || ||October 11 ||'''Introduction to the CBU computing system'''<<BR>>''Overview of CBSU computing resources; using/accessing the computing system; best practice in scientific computing.''<<BR>>[[attachment:1_CBUComputing2016.pdf|PDF of the lecture]] ||Russell Thompson || ||October 18 ||'''Hands-on introduction to Linux'''<<BR>>''How to find your way around a Computing system; basic and more advanced Linux commands; tips and tricks''<<BR>>[[attachment:LinuxClass_JeffBerry_26Oct16.pdf|PDF]] <<BR>>[[attachment:LinuxClass_JeffBerry_26Oct16_material.tar.gz|material]] ||Jeff Berry || ||October 25 ||'''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:YaaraMatlabBasicsSlides.pdf|PDF of lecture - slides]]<<BR>>[[attachment:YaaraMatlabBasicsHandouts.pdf|PDF of lecture - handouts]]<<BR>>[[attachment:YaaraMatlabBasics.zip|Example scripts]] ||Andrea Greve || ||November 1 ||'''Basic Matlab commands I'''<<BR>>''Basic commands and functions; loops and conditional statements; tips and tricks''<<BR>>[[attachment:MATLAB Basics 16Nov16.pdf|PDF]] [[attachment:YaaraMatlabBasicCommandsScripts.zip|Example scripts]] ||Yaara Erez || ||November 8 ||'''Basic Matlab commands II'''<<BR>>'' basic matrix operations'', ''functions, tips and tricks ''<<BR>> [[attachment:IntroMatrixAlgebra_Matlab_18Nov15.zip|Presentation and Script]] ||Olaf Hauk || ||November 15 ||'''Structuring and debugging Matlab code'''<<BR>>''Writing clear and fast Matlab code; editing scripts and functions; debugging Matlab code'' <<BR>> [[attachment:Examples_and_exercises_2016_djm.zip|Examples and exercises]] ||Daniel Mitchell || ||November 22 ||'''Visualisation in Matlab'''<<BR>>''Visualisation options in Matlab; creating and editing figures; plotting curves''<<BR>>[[attachment:matlabWorkshop_viz_Kate.pdf|PDF]] ||Katherine Storrs || ||November 29 ||'''Parallel Computing in Linux and Matlab''' ''Introduction to parallel computing; login and compute nodes; the qsub command'' <<BR>> [[attachment:computing_pres2014_cluster.pdf|Using the scheduler]]<<BR>>[[attachment:3_Parallel.pdf|PDF of the lecture (MATLAB)]] <<BR>>[[attachment:3_MATLAB.zip|material (MATLAB)]] ||Darren Price || ||December 6th ||'''Introduction to Javascript and the Design of Web-Based Experiments''' ||Becky Gilbert || ---- ---- |
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, 14.30, between October and December 2017.
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.
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.Our Matlab workshops also serve as an introduction to scientific computing, which will be useful even if you are more likely to use R, Python etc. in your work.
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).
Individual sessions of this workshop series will be advertised via our "skillstraining" mailing list (see below). To hear more about skills-oriented training opportunities at the CBU, please register on this mailing list: http://lists.mrc-cbu.cam.ac.uk/mailman/listinfo/skillstraining (Non-CBU people can subscribe by sending an e-mail to skillstraining-subscribe (at) mrc-cbu (dot) cam (dot) ac (dot) uk).
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.
All sessions will take place in the West Wing Seminar Room, on Wednesdays at 14.30. They will take about 1.5 hours, with an opportunity to practice and ask questions afterwards.
Note: The materials (PDFs etc.) attached to the schedule below are still from last year, and may change before or just after this year's workshops.
Date/Time |
Topic |
Presenter |
October 11 |
Introduction to the CBU computing system |
Russell Thompson |
October 18 |
Hands-on introduction to Linux |
Jeff Berry |
October 25 |
Getting started with Matlab |
Andrea Greve |
November 1 |
Basic Matlab commands I |
Yaara Erez |
November 8 |
Basic Matlab commands II |
Olaf Hauk |
November 15 |
Structuring and debugging Matlab code |
Daniel Mitchell |
November 22 |
Visualisation in Matlab |
Katherine Storrs |
November 29 |
Parallel Computing in Linux and Matlab Introduction to parallel computing; login and compute nodes; the qsub command |
Darren Price |
December 6th |
Introduction to Javascript and the Design of Web-Based Experiments |
Becky Gilbert |