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||<tablewidth="734px" tableheight="653px">'''Date ''' ||'''Topic''' ||'''Tutor''' ||
||Jan 25 ||'''Sampling, Signals, Noise''' ''Sampling rate, aliasing, signal-to-noise ratio, error propagation'',''[[attachment:SignalSamplingNoise.pdf|PDF]] '' ||Alessandro Tomassini ||
||Feb 1 ||'''Introduction to Matrix Algebra''' ''Vectors, matrices, and what you can do with them,[[attachment:IntroMatrixAlgebra.pdf|PDF]]'' ||Alessandro Tomassini ||
||Feb 8 ||'''The general linear model I''' ''Linear equations, matrix inversion'' [[attachment:GLM_part1.pdf|PDF]]'' '' ||Amy Johnson ||
||break || || ||
||Feb 22 ||'''The general linear model II''' PCA and SVD, analysing linear equations, eigenvalues and singular values, stability of linear estimators'' [[attachment:IntroGLM2_17Feb16.pdf|PDF]], [[attachment:Olaf IntroGLM2 17Feb2016.m|M|&do=get]] '' ||Rezvan Farahibozorg ||
||Mar 1 ||'''Functions and calculus''' properties of some common functions, polynomials etc., derivation and integration'' [[attachment:IntroCalculus 18Feb15.pdf|PDF]], [[attachment:Olaf IntroCalculus 18Feb15 Matlab.zip|M]] '' ||Pei Huang ||
||Mar 8 ||'''Filtering and oscillations''' Properties of sine and cosine functions, FFT, filters''[[attachment:Olaf FilteringOscillations 25Feb15.pdf|PDF]], [[attachment:IntroFilteringOscillations_25Feb15.zip|M]] '' ||Darren Price ||
||Mar 15 ||'''Optimisation''' Principles of linear and non-linear optimisation ''[[attachment:Olaf Optimisation 4Mar15.pdf|PDF]], [[attachment:IntroOptimisation_4Mar15.zip|M]] '' ||Darren Price ||
||<tablewidth="644px"width="64px" height="20px" class="xl67"> ||<width="145px" class="xl69" style="border-left:none">Jan 8 (Mon) ||<width="145px" class="xl69" style="border-left:none">Jan 9 (Tue) ||<width="145px" class="xl69" style="border-left:none">Jan 10 (Wed) ||<width="145px" class="xl69" style="border-left:none">Jan 11 (Thu) ||
||<rowstyle="mso-height-source:userset"height="40px" class="xl72" style="border-top:none"> ||<width="145px" class="xl70" style="border-top:none;border-left:none"> ||<width="145px" class="xl70" style="border-top:none;border-left:none"> ||<width="145px" class="xl70" style="border-top:none;border-left:none"> ||<width="145px" class="xl70" style="border-top:none;border-left:none"> ||
||<rowstyle="mso-height-source:userset"height="40px" class="xl72" style="border-top:none;text-align:right">11:00:00 ||<width="145px" class="xl73" style="border-top:none;text-align:center" |2>'''Sampling, Signals, Noise''' Alessandro Tomassini ||<width="145px" class="xl73" style="border-top:none;text-align:center" |2>'''GLM I''' ? ||<width="145px" class="xl73" style="border-top:none;text-align:center" |2>'''Functions And Calculus''' Pei Huang ||<width="145px" class="xl73" style="border-top:none;text-align:center" |2>'''Optimisation''' Olaf Hauk ||
||<rowstyle="mso-height-source:userset"height="40px" class="xl72" style="border-top:none;text-align:right">12:00:00 ||
||<rowstyle="mso-height-source:userset"height="40px" class="xl72" style="border-top:none"> ||<width="145px" class="xl71" style="border-top:none;border-left:none"> ||<width="145px" class="xl71" style="border-top:none;border-left:none"> ||<width="145px" class="xl71" style="border-top:none;border-left:none"> ||<width="145px" class="xl71" style="border-top:none;border-left:none"> ||
||<rowstyle="mso-height-source:userset"height="40px" class="xl68" style="border-top:none;text-align:right">13:30:00 ||<width="145px" class="xl73" style="border-top:none;text-align:center" |2>'''Matrix Algebra '''Alessandro Tomassini ||<width="145px" class="xl73" style="border-top:none;text-align:center" |2>'''GLM II''' Arsene Ella ||<width="145px" class="xl73" style="border-top:none;text-align:center" |2>'''Filtering and Oscillations '''Natalie Adams ||<width="145px" class="xl73" style="border-top:none;text-align:center" |2> ||
||<rowstyle="mso-height-source:userset"height="40px" class="xl68" style="border-top:none;text-align:right">14:30:00 ||

Introduction to Signal Analysis In Matlab

Below you will find the schedule of our “Introduction to Signal Analysis In Matlab” workshops, held in the CBSU West Wing Seminar Room on Wednesdays, 11.00, between January and March 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.

These workshops are aimed at beginners, but some basic knowledge of Matlab is required, e.g. at the level of our previous "Introduction to Matlab and Scientific Computing" workshops (materials available here). We are not intending to provide a full Matlab or signal processing 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).

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 skills-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 11am, and will take approximately 1 hour.

The documents/scripts attached to future workshops in the schedule below are still from last year, and will be updated in due course.

Jan 8 (Mon)

Jan 9 (Tue)

Jan 10 (Wed)

Jan 11 (Thu)

11:00:00

Sampling, Signals, Noise Alessandro Tomassini

GLM I ?

Functions And Calculus Pei Huang

Optimisation Olaf Hauk

12:00:00

13:30:00

Matrix Algebra Alessandro Tomassini

GLM II Arsene Ella

Filtering and Oscillations Natalie Adams

14:30:00

None: SignalAnalysisMatlabSchedule (last edited 2019-11-21 17:37:44 by OlafHauk)