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||October 30 Lecture Theatre ||'''Introduction to the CBSU computing system'''<<BR>>''Overview of CBSU computing resources; using/accessing the computing system; best practice in scientific computing, basic Linux commands''<<BR>>[[attachment:Intro_to_CBU_computing_2013.pdf|PDF of previous lecture]] ||Tibor Auer ||
||November 6 ||'''Hands-on introduction to Linux'''<<BR>>''How to find your way around our computing system. Basic and more advanced Linux commands, tips and tricks''<<BR>>[[attachment:2_1_Linux.pdf|PDF of previous lecture]] ||Tibor Auer ||
||November 13 ||'''Setting up experiments in E-Prime'''<<BR>>''Preparing and presenting stimuli, collecting behavioural responses''<<BR>> ||Maarten van Casteren ||
||November 27 ||'''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:MatlabBasics_slides.pdf|PDF of previous lecture - slides]]<<BR>>[[attachment:MatlabBasics_handouts.pdf|PDF of previous lecture - handouts]]<<BR>>[[attachment:MatlabBasics_examples.zip|Previous Example scripts]] ||Yaara Erez ||
||November 27 ||'''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:MatlabBasics_slides.pdf|PDF of the lecture - slides]]<<BR>>[[attachment:MatlabBasics_handouts.pdf|PDF of the lecture - handouts]]<<BR>>[[attachment:MatlabBasics_examples.zip|Example scripts]] ||Yaara Erez ||
||December 4 ||'''Basic Matlab commands I'''<<BR>>''Basic commands and functions; loops and conditional statements; tips and tricks''<<BR>> [[attachment:JTaylorMatlabLectureDemo.zip|Scripts and lecture]] ||Yaara Erez ||
||December 11 ||'''Basic Matlab commands II'''<<BR>>'' basic matrix operations''
, functions, tips and tricks <<BR>> [[attachment:OlafMatrixAlgebraPresentation.pdf|Presentation]] and [[attachment:OlafMatrixAlgebraScript.m|Script|&do=get]] ||Olaf Hauk ||
||December 18 ||'''Structuring and debugging Matlab code'''<<BR>>''Writing clear and fast Matlab code; editing scripts and functions; debugging Matlab code'' <<BR>> [[attachment:examples_and_exercises.zip]] ||Danny Mitchell ||
||January 15 ||'''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 ||
||January 22 ||'''Parallel Computing in Linux and Matlab''' Introduction to parallel computing; login and compute nodes; the qsub command ||Russell Thompson, Tibor Auer ||
||October 15 ||'''Introduction to the CBSU computing system'''<<BR>>''Overview of CBSU computing resources; using/accessing the computing system; best practice in scientific computing, basic Linux commands''<<BR>>[[attachment:Intro_to_CBU_computing_2013.pdf|PDF of previous lecture]] ||Tibor Auer ||
||October 22 ||'''Hands-on introduction to Linux'''<<BR>>''How to find your way around our computing system. Basic and more advanced Linux commands, tips and tricks''<<BR>>[[attachment:2_1_Linux.pdf|PDF of previous lecture]] ||Tibor Auer ||
||October 29 ||'''Setting up experiments in E-Prime'''<<BR>>''Preparing and presenting stimuli, collecting behavioural responses''<<BR>> ||Maarten van Casteren ||
||November 5 ||'''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:MatlabBasics_slides.pdf|PDF of previous lecture - slides]]<<BR>>[[attachment:MatlabBasics_handouts.pdf|PDF of previous lecture - handouts]]<<BR>>[[attachment:MatlabBasics_examples.zip|Previous Example scripts]] ||Yaara Erez ||
||November 12 ||'''Basic Matlab commands I'''<<BR>>''Basic commands and functions; loops and conditional statements; tips and tricks''<<BR>>  [[attachment:JTaylorMatlabLectureDemo.zip|Previous scripts and lecture]] ||Yaara Erez ||
||November 19 ||'''Basic Matlab commands II'''<<BR>>'' basic matrix operations'', functions, tips and tricks <<BR>> [[attachment:OlafMatrixAlgebraPresentation.pdf|Previous Presentation]] and [[attachment:OlafMatrixAlgebraScript.m|Script|&do=get]] ||Olaf Hauk ||
||November 26 ||'''Structuring and debugging Matlab code'''<<BR>>''Writing clear and fast Matlab code; editing scripts and functions; debugging Matlab code'' <<BR>> Previous [[attachment:example
s_and_exercises.zip]] ||Danny Mitchell ||
||December 3 ||'''Visualisation in Matlab'''<<BR>>''Visualisation options in Matlab; creating and editing figures; plotting curves''<<BR>>[[attachment:MatlabVisualisation-Slides.pdf|Previous
PDF of the lecture - slides]]<<BR>>[[attachment:MatlabVisualisation_handouts.pdf|Previous PDF of the lecture - handouts]]<<BR>>[[attachment:MatlabVisualisation_examples.zip|Previous Example scripts]] ||Yaara Erez ||
||December 10 ||'''Parallel Computing in Linux and Matlab''' Introduction to parallel computing; login and compute nodes; the qsub command ||Russell Thompson, Tibor Auer ||

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.

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.

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).

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.

Except for the first lecture, all sessions will take place in the West Wing Seminar Room, on Wednesdays at 11am.

Date/Time

Topic

Presenter

October 15

Introduction to the CBSU computing system
Overview of CBSU computing resources; using/accessing the computing system; best practice in scientific computing, basic Linux commands
PDF of previous lecture

Tibor Auer

October 22

Hands-on introduction to Linux
How to find your way around our computing system. Basic and more advanced Linux commands, tips and tricks
PDF of previous lecture

Tibor Auer

October 29

Setting up experiments in E-Prime
Preparing and presenting stimuli, collecting behavioural responses

Maarten van Casteren

November 5

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 previous lecture - slides
PDF of previous lecture - handouts
Previous Example scripts

Yaara Erez

November 12

Basic Matlab commands I
Basic commands and functions; loops and conditional statements; tips and tricks
Previous scripts and lecture

Yaara Erez

November 19

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

Olaf Hauk

November 26

Structuring and debugging Matlab code
Writing clear and fast Matlab code; editing scripts and functions; debugging Matlab code
Previous examples_and_exercises.zip

Danny Mitchell

December 3

Visualisation in Matlab
Visualisation options in Matlab; creating and editing figures; plotting curves
Previous PDF of the lecture - slides
Previous PDF of the lecture - handouts
Previous Example scripts

Yaara Erez

December 10

Parallel Computing in Linux and Matlab Introduction to parallel computing; login and compute nodes; the qsub command

Russell Thompson, Tibor Auer

None: MatlabLecturesSchedule (last edited 2023-11-07 13:37:48 by OlafHauk)