Diff for "MatlabLecturesSchedule" - Methods
location: Diff for "MatlabLecturesSchedule"
Differences between revisions 66 and 67
Revision 66 as of 2014-07-31 12:12:16
Size: 4508
Editor: TiborAuer
Comment:
Revision 67 as of 2014-09-09 11:12:17
Size: 4966
Editor: OlafHauk
Comment:
Deletions are marked like this. Additions are marked like this.
Line 3: Line 3:
= Introduction to Matlab =
Below you will find the schedule of our “Introduction to Matlab” lectures, held in the CBSU West Wing Seminar Room on Wednesdays, 11.00, between November 2013 and January 2014.
= 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.
Line 8: Line 8:
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.
Line 10: Line 12:
Our lectures 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 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). 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).
Line 27: Line 29:
||January 22 ||'''Matlab and SPM/AA'''<<BR>>''Variables and structures in SPM; how to access/check information in SPM; tips and tricks; question time''<<BR>>[[attachment:Matlab - SPM-AA.pdf]]<<BR>>[[attachment:20140122_material.zip|Material.zip]]||Tibor Auer || ||January 22 ||'''Matlab and SPM/AA'''<<BR>>''Variables and structures in SPM; how to access/check information in SPM; tips and tricks; question time''<<BR>>[[attachment:Matlab - SPM-AA.pdf]]<<BR>>[[attachment:20140122_material.zip|Material.zip]] ||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 30 Lecture Theatre

Introduction to the CBSU computing system and best practice in computing
Overview of CBSU computing resources; using/accessing the computing system; best practice in file management
PDF of the lecture

Russell Thompson

November 6

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

Tibor Auer

November 13

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

Maarten van Casteren

November 27

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 the lecture - slides
PDF of the lecture - handouts
Example scripts

Yaara Erez

November 27

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 the lecture - slides
PDF of the lecture - handouts
Example scripts

Yaara Erez

December 4

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

Jason Taylor

December 11

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

Olaf Hauk

December 18

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

Danny Mitchell

January 15

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

January 22

Matlab and SPM/AA
Variables and structures in SPM; how to access/check information in SPM; tips and tricks; question time
Matlab - SPM-AA.pdf
Material.zip

Tibor Auer

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