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||October 14 ||'''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 || ||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 ||
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||December 2 ||'''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 ||
||December 9
||'''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 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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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)