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| = 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. |
= Introduction to Scientific Computing at the CBU = Below you will find the schedule of our “Introduction to Scientific Computing at the CBU” workshops, which will be held online for new members of the CBU in November 2024. |
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| 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. | 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. 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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| 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. We are not intending to provide a full 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). |
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| 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). |
Individual sessions of this workshop series will be advertised via our '''"skillstraining" mailing list'''. To hear more about skills-oriented training opportunities at the CBU, please subscribe to this mailing list by sending an e-mail to [[mailto:skillstraining-subscribe@mrc-cbu.cam.ac.uk|skillstraining-subscribe (a t) mrc-cbu.cam.ac.uk]]. |
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| 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. ||<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:matlabWorkshop_viz_Kate2017.pdf|PDF]] || ||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.pdf|Slides]] || || |
Any suggestions of feedback on our previous lectures would be very welcome. <<BR>> ||<20%> ||<75%>'''Mini introduction to Linux''' <<BR>> [[https://intranet.mrc-cbu.cam.ac.uk/home/computing-training/#fvp_34,4s|Video]] (CBU only) || |
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| ||<20%>Monday, Nov 11 <<BR>>10-12.00 <<BR>>Lecture Theatre ||<75%>'''Introduction to Computing at the CBU''' <<BR>>Jeff Berry <<BR>> [[attachment:Computing2024.pdf|Lecture]] [[https://intranet.mrc-cbu.cam.ac.uk/home/computing-training/#fvp_79,6s|Video (CBU only)]] || ||<20%>Monday, Nov 11 <<BR>>14-15.00 <<BR>>'''online!''' ||<75%>'''Introduction to Linux, the CBU computing cluster, and command line interfaces''' <<BR>>Jeff Berry <<BR>> [[attachment:Linux2024.pdf|Linux and the cluster]] <<BR>> '''Note:''' This is a '''hands-on''' session (for CBU staff) and you will need access to our computing cluster (e.g. using '''VNC or X2GO'''). You can find more information on our [[https://intranet.mrc-cbu.cam.ac.uk/home/accessing-the-cbu-cluster-2019/|intranet]]. Please contact our IT team if you have questions. || <<BR>> ||<20%>Tuesday, Nov 12 <<BR>>10-12.00 <<BR>>WWSR and online ||<75%>'''Introduction to Parallel Computing at the CBU''' <<BR>>Lidea Shahidi || <<BR>> ||<20%>Monday, Nov 18 <<BR>>12.30-13.30 <<BR>> LT and online ||<75%>'''How to version control your scientific code using git and github.''' <<BR>>Máté Aller || |
Introduction to Scientific Computing at the CBU
Below you will find the schedule of our “Introduction to Scientific Computing at the CBU” workshops, which will be held online for new members of the CBU in November 2024.
Any larger data analysis at the CBU, especially for neuroimaging data, is performed on our high-performance computer cluster, using the operating system Linux. 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. We are not intending to provide a full 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. To hear more about skills-oriented training opportunities at the CBU, please subscribe to this mailing list by sending an e-mail to skillstraining-subscribe (a t) mrc-cbu.cam.ac.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.
|
Mini introduction to Linux |
Monday, Nov 11 |
Introduction to Computing at the CBU |
Monday, Nov 11 |
Introduction to Linux, the CBU computing cluster, and command line interfaces |
Tuesday, Nov 12 |
Introduction to Parallel Computing at the CBU |
Monday, Nov 18 |
How to version control your scientific code using git and github. |