MatlabLecturesSchedule - Methods
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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 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 West Wing Seminar Room, on Wednesdays at 14.30. They will take about 2 hours, with an opportunity to practice and ask questions afterwards.

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.

Date/Time

Topic

Presenter

October 11

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

Russell Thompson

October 18

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

Jeff Berry

October 25

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

Andrea Greve

November 1

Basic Matlab commands I
Basic commands and functions; loops and conditional statements; tips and tricks
PDF - slides
PDF - handouts
Example scripts

Yaara Erez

November 8

Basic Matlab commands II
basic matrix operations, functions, tips and tricks
Presentation and Script

Moataz Assem

November 15

Structuring and Debugging Matlab Code
Writing clear and fast Matlab code; editing scripts and functions; debugging Matlab code
Examples and exercises

Daniel Mitchell

November 22

Visualisation in Matlab
Visualisation options in Matlab; creating and editing figures; plotting curves
PDF

Katherine Storrs

November 29

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)

Darren Price

December 6th

Python Day

Edwin Dalmijer



None: MatlabLecturesSchedule (last edited 2017-11-14 12:24:08 by DannyMitchell2)