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'''Note:''' The materials (PDFs etc.) attached to the schedule below are still from last year, and may change before or just after this year's workshops.


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 on Wednesdays, 14.30, between October and December 2017.

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 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.Our Matlab workshops also serve as an introduction to scientific computing, which will be useful even if you are more likely to use R, Python 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 South Pole Large Meeting Room. They will take about 2 hours, with an opportunity to practice and ask questions at the end.

Mon, Oct 22

Tue, Oct 23

Wed, Oct 24

Fri, Oct 26


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

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.

Basic Matlab commands II
Moataz Assem
basic matrix operations, functions, tips and tricks

Visualisation in Matlab
Sneha Shashidhara
Visualisation options in Matlab; creating and editing figures; plotting curves.


Hands-on introduction to Linux
Jeff Berry
How to find your way around a Computing system; basic and more advanced Linux commands; tips and tricks.

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

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

Parallel Computing in Linux and Matlab
Darren Price

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