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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 For Cognitive Neuroscientists =
Below you will find the schedule of our “Introduction to Scientific Computing and Matlab” workshops, held in the CBSU West Wing Seminar Room between 4-7 November 2019.
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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 one of the most popular programming languages for neuroimaging analysis. However, our Matlab workshops also serve as a general introduction to scientific coding, which will be useful even if you are more likely to use Python, R 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.''' They will take about 2 hours, with an opportunity to practice and ask questions at the end.
||<tablewidth="716px" tablestyle="text-align:center;text-align:center;text-align:center"> ||Mon, Nov 4th ||Tue, Nov 5th ||Wed, Nov 6th ||Fri, Nov 8th ||
||10-12.00 ||__Note: 9.30-12.30!__ '''Introduction to the CBU computing system'''<<BR>>''Jeff Berry''<<BR>>Overview of CBSU computing resources; using/accessing the computing system; best practice in scientific computing. How to find your way around a Computing system; basic and more advanced Linux commands; tips and tricks. [[https://intranet.mrc-cbu.cam.ac.uk/computing/intro-demo/|CBU computing cluster on the intranet (CBU only)]] [[attachment:LinuxClass_JeffBerry_22Oct18.pdf|Intro to Linux]] ||'''Getting started with Matlab''' <<BR>> ''Andrea Greve'' <<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. [[attachment:Matlab_Basic_introduction_AndreaGreve_23Oct18.pdf|PDF]] ||'''Basic Matlab commands II''' <<BR>> ''Moataz Assem'' <<BR>> basic matrix operations, functions, tips and trick [[attachment:basic_commands_2_2019.pdf|Slides]] [[attachment:MATLAB_basic_commands_2_exercises.pdf|Excercises]] ||'''Visualisation in Matlab''' <<BR>> ''Lydia Barnes'' <<BR>> Visualisation options in Matlab; creating and editing figures; plotting curves. [[attachment:visualisationInMatlab_ljb_slides_20191109.pdf|Slides]] Examples ||
||14-16.00 || ||'''Basic Matlab commands I''' <<BR>> ''Delia Fuhrmann'' <<BR>> Basic commands and functions; loops and conditional statements; tips and tricks. [[attachment:MatlabBasicsCommands_Delia_23Oct18.pdf|PDF]] [[attachment:MatlabBasicsCommands_ Delia_23Oct18.zip|Scripts]] ||'''Structuring and Debugging Matlab Code''' <<BR>> ''Daniel Mitchell'' <<BR>> Writing clear and fast Matlab code; editing scripts and functions; debugging Matlab code. [[attachment:matlab_lecture_Nov_2019_post.pptx|Slides]][[attachment:Examples_and_exercises_2019_djm4.zip|Examples and exercises]] || ||
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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 For Cognitive Neuroscientists

Below you will find the schedule of our “Introduction to Scientific Computing and Matlab” workshops, held in the CBSU West Wing Seminar Room between 4-7 November 2019.

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 one of the most popular programming languages for neuroimaging analysis. However, our Matlab workshops also serve as a general introduction to scientific coding, which will be useful even if you are more likely to use Python, R 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. They will take about 2 hours, with an opportunity to practice and ask questions at the end.

Mon, Nov 4th

Tue, Nov 5th

Wed, Nov 6th

Fri, Nov 8th

10-12.00

Note: 9.30-12.30! Introduction to the CBU computing system
Jeff Berry
Overview of CBSU computing resources; using/accessing the computing system; best practice in scientific computing. How to find your way around a Computing system; basic and more advanced Linux commands; tips and tricks. CBU computing cluster on the intranet (CBU only) Intro to Linux

Getting started with Matlab
Andrea Greve
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

Basic Matlab commands II
Moataz Assem
basic matrix operations, functions, tips and trick Slides Excercises

Visualisation in Matlab
Lydia Barnes
Visualisation options in Matlab; creating and editing figures; plotting curves. Slides Examples

14-16.00

Basic Matlab commands I
Delia Fuhrmann
Basic commands and functions; loops and conditional statements; tips and tricks. PDF Scripts

Structuring and Debugging Matlab Code
Daniel Mitchell
Writing clear and fast Matlab code; editing scripts and functions; debugging Matlab code. SlidesExamples and exercises

None: MatlabLecturesSchedule (last edited 2022-04-13 14:36:49 by OlafHauk)