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| {{attachment: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, 11.00, between October 2014 and January 2015. |
= Introduction to Signal Analysis In Matlab = Below you will find the schedule of our “Introduction to Signal Analysis In Matlab” workshops, held in the CBSU West Wing Seminar Room between 8-11 January 2018. |
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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. | These workshops are aimed at beginners, but some basic knowledge of Matlab is required, e.g. at the level of our previous [[http://imaging.mrc-cbu.cam.ac.uk/methods/MatlabLecturesSchedule|"Introduction to Matlab and Scientific Computing"]] workshops. We are not intending to provide a full Matlab or signal processing course, but we hope we can significantly facilitate the first few steps. There workshops provide a basis for the following workshop series [[http://imaging.mrc-cbu.cam.ac.uk/methods/IntroductionNeuroimagingLectures|"Introduction to Neuroimaging Methods"]]. |
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| 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). |
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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| You may want to have a look at other [[education|skill-oriented training options.]] | You may want to have a look at other [[education|skills-oriented training options.]] |
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| All sessions will take place in the '''West Wing Seminar Room, on Wednesdays at 11am.''' ||<tablewidth="734px" tableheight="653px">'''Date/Time''' ||'''Topic''' ||'''Presenter''' || ||October 15 ||'''Setting up experiments in E-Prime'''<<BR>>''Preparing and presenting stimuli, collecting behavioural responses''<<BR>> ||Maarten van Casteren || ||October 22 ||'''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 || ||October 29 ||'''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 5 ||'''Basic Matlab commands II'''<<BR>>'' basic matrix operations'', functions, tips and tricks <<BR>> [[attachment:IntroMatrixAlgebra.zip|Presentation and Script]] ||Olaf Hauk || ||November 12 ||'''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 || ||November 19 ||'''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 || ||November 26 ||'''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 || ||December 3 ||'''Introduction to the CBSU 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 || ||December 10 ||'''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) || |
All sessions will take place in the West Wing Seminar Room, and will take approximately 2 hours. <<BR>> ||<tablewidth="644px"width="64px" height="20px" class="xl67"> ||<width="145px" class="xl69" style="border-left:none">'''Jan 8''' (Mon) ||<width="145px" class="xl69" style="border-left:none">'''Jan 9''' (Tue) ||<width="145px" class="xl69" style="border-left:none">'''Jan 10''' (Wed) ||<width="145px" class="xl69" style="border-left:none">'''Jan 11''' (Thu) || ||<rowstyle="mso-height-source:userset"height="40px" class="xl72" style="border-top:none"> ||<width="145px" class="xl70" style="border-top:none;border-left:none"> ||<width="145px" class="xl70" style="border-top:none;border-left:none"> ||<width="145px" class="xl70" style="border-top:none;border-left:none"> ||<width="145px" class="xl70" style="border-top:none;border-left:none"> || ||<rowstyle="mso-height-source:userset"height="40px" class="xl72" style="border-top:none;text-align:right">10:00:00 ||<width="145px" class="xl73" style="border-top:none;text-align:center" |2>'''Sampling, Signals, Noise''' <<BR>> Alessandro Tomassini ||<width="145px" class="xl73" style="border-top:none;text-align:center" |2>'''GLM I''' <<BR>> Ediz Sohoglu [[attachment:GLM1_workshop_v2.m|[Mcode|&do=get]]] ||<width="145px" class="xl73" style="border-top:none;text-align:center" |2>'''Functions And Calculus''' <<BR>> Pei Huang ||<width="145px" class="xl73" style="border-top:none;text-align:center" |2>'''Optimisation''' <<BR>> Darren Price [[attachment:DP_Optimisation_2016.zip]] || ||<rowstyle="mso-height-source:userset"height="40px" class="xl72" style="border-top:none;text-align:right">11:00:00 || ||<rowstyle="mso-height-source:userset"height="40px" class="xl72" style="border-top:none"> ||<width="145px" class="xl71" style="border-top:none;border-left:none"> ||<width="145px" class="xl71" style="border-top:none;border-left:none"> ||<width="145px" class="xl71" style="border-top:none;border-left:none"> ||<width="145px" class="xl71" style="border-top:none;border-left:none"> || ||<rowstyle="mso-height-source:userset"height="40px" class="xl68" style="border-top:none;text-align:right">13:30:00 ||<width="145px" class="xl73" style="border-top:none;text-align:center" |2>'''Matrix Algebra ''' <<BR>> Alessandro Tomassini ||<width="145px" class="xl73" style="border-top:none;text-align:center" |2>'''GLM II''' <<BR>> Arsene Ella [[attachment:Matlab_Files.zip|[Mcode]]] ||<width="145px" class="xl73" style="border-top:none;text-align:center" |2>'''Filtering and Oscillations <<BR>> '''Natalie Adams ||<width="145px" class="xl73" style="border-top:none;text-align:center" |2> || ||<rowstyle="mso-height-source:userset"height="40px" class="xl68" style="border-top:none;text-align:right">14:30:00 || |
Introduction to Signal Analysis In Matlab
Below you will find the schedule of our “Introduction to Signal Analysis In Matlab” workshops, held in the CBSU West Wing Seminar Room between 8-11 January 2018.
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.
These workshops are aimed at beginners, but some basic knowledge of Matlab is required, e.g. at the level of our previous "Introduction to Matlab and Scientific Computing" workshops. We are not intending to provide a full Matlab or signal processing course, but we hope we can significantly facilitate the first few steps. There workshops provide a basis for the following workshop series "Introduction to Neuroimaging Methods".
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).
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 skills-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, and will take approximately 2 hours.
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Jan 8 (Mon) |
Jan 9 (Tue) |
Jan 10 (Wed) |
Jan 11 (Thu) |
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10:00:00 |
Sampling, Signals, Noise |
GLM I |
Functions And Calculus |
Optimisation |
11:00:00 |
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13:30:00 |
Matrix Algebra |
GLM II |
Filtering and Oscillations |
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14:30:00 |