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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 2015 and January 2016.
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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. 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 between 1 and 2 hours.
||<tablewidth="734px" tableheight="653px">'''Date/Time''' ||'''Topic''' ||'''Presenter''' ||
||October 14 ||'''Introduction to the CBU computing system'''<<BR>>''Overview of CBSU computing resources; using/accessing the computing system; best practice in scientific computing.''<<BR>>[[attachment:2_CBUComputing.pdf|PDF of the lecture]] ||Tibor Auer ||
||October 21 ||'''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:1_Linux.pdf|PDF of the lecture]] <<BR>>[[attachment:1_Linux.zip|material]] ||Tibor Auer ||
||Break || || ||
||November 4 ||'''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:YaaraBasicsSlides.pdf|PDF of lecture - slides]]<<BR>>[[attachment:YaaraMatlabBasicsHandouts.pdf|PDF of lecture - handouts]]<<BR>>[[attachment:YaaraMatlabBasics.zip|Example scripts]] ||Yaara Erez ||
||November 11 ||'''Basic Matlab commands I'''<<BR>>''Basic commands and functions; loops and conditional statements; tips and tricks''<<BR>> [[attachment:YaaraMatlabBasicCommandsHandouts.pdf|PDF of lecture - handouts]]<<BR>>[[attachment:YaaraMatlabBasicCommandsSlides.pdf|PDF of lecture - slides]]<<BR>>[[attachment:YaaraMatlabBasicCommandsScripts.zip|Example scripts]] ||Yaara Erez ||
||November 18 ||'''Basic Matlab commands II'''<<BR>>'' basic matrix operations'', ''functions, tips and tricks ''<<BR>> [[attachment:IntroMatrixAlgebra.zip|Presentation and Script]] ||Olaf Hauk ||
||November 25 ||'''Structuring and debugging Matlab code'''<<BR>>''Writing clear and fast Matlab code; editing scripts and functions; debugging Matlab code'' <<BR>> Previous [[attachment:examples_and_exercises.zip]] ||Daniel Mitchell ||
||December 2 ||'''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)]] ||Russell Thompson (Linux),<<BR>>Tibor Auer (MATLAB) ||
||December 9 ||'''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 ||
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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||

mrclogo.gif

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 2015 and January 2016.

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.

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 between 1 and 2 hours.

Date/Time

Topic

Presenter

October 14

Introduction to the CBU computing system
Overview of CBSU computing resources; using/accessing the computing system; best practice in scientific computing.
PDF of the lecture

Tibor Auer

October 21

Hands-on introduction to Linux
How to find your way around a computing system; basic and more advanced Linux commands; tips and tricks
PDF of the lecture
material

Tibor Auer

Break

November 4

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 lecture - slides
PDF of lecture - handouts
Example scripts

Yaara Erez

November 11

Basic Matlab commands I
Basic commands and functions; loops and conditional statements; tips and tricks
PDF of lecture - handouts
PDF of lecture - slides
Example scripts

Yaara Erez

November 18

Basic Matlab commands II
basic matrix operations, functions, tips and tricks
Presentation and Script

Olaf Hauk

November 25

Structuring and debugging Matlab code
Writing clear and fast Matlab code; editing scripts and functions; debugging Matlab code
Previous examples_and_exercises.zip

Daniel Mitchell

December 2

Parallel Computing in Linux and Matlab Introduction to parallel computing; login and compute nodes; the qsub command
Using the scheduler
PDF of the lecture (MATLAB)
material (MATLAB)

Russell Thompson (Linux),
Tibor Auer (MATLAB)

December 9

Visualisation in Matlab
Visualisation options in Matlab; creating and editing figures; plotting curves
PDF of the lecture - slides
PDF of the lecture - handouts
Example scripts

Yaara Erez

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