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| 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 2015. | Below you will find the schedule of our “Introduction to Signal Analysis In Matlab” workshops, held in the CBSU West Wing Seminar Room between 18-22 November 2019. |
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| 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. | Matlab is one of the most popular programming languages for neuroimaging analysis. However, our Matlab workshops also serve as a general introduction to scientific coding and signal analysis, which will be useful even if you are more likely to use Python, R etc. in your work. |
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| 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 [[http://imaging.mrc-cbu.cam.ac.uk/methods/MatlabLecturesSchedule|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). | These workshops are aimed at beginners, but some basic knowledge of Matlab is required, e.g. at the level of our previous [[http://imaging.mrc-cbu.cam.ac.uk/methods/MatlabLecturesSchedule|"Introduction to Matlab and Scientific Computing"]] workshops. We are not intending to provide a full Matlab or signal processing course, but we hope we can significantly facilitate the first few steps. There workshops provide a basis for the following workshop series [[http://imaging.mrc-cbu.cam.ac.uk/methods/IntroductionNeuroimagingLectures|"Introduction to Neuroimaging Methods"]]. 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). |
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| All sessions will take place in the West Wing Seminar Room, on Wednesdays at 11am, and will take approximately 1 hour. ||<tablewidth="734px" tableheight="653px">'''Date ''' ||'''Topic''' || ||Jan 14 ||'''Sampling, Signals, Noise''' ''Sampling rate, aliasing, signal-to-noise ratio, error propagation'' [[attachment:Sampling.pdf|PDF]], [[attachment:Sampling.m|M|&do=get]] || ||Jan 21 ||'''Introduction to Matrix Algebra''' ''Vectors, matrices, and what you can do with them'' [[attachment:EMEGdata.mat|Example data]] [[attachment:MatrixAlgebra.m|Matlab examples]] || ||Jan 28 ||'''The general linear model I''' ''Linear equations, matrix inversion'' || ||Feb 4 ||'''The general linear model II''' ''PCA and SVD, analysing linear equations, stability'' || ||Feb 18 ||'''Functions and calculus''' ''properties of some common functions, polynomials etc., derivation and integration '' || ||Feb 25 ||'''Filtering and oscillations''' ''Properties of sine and cosine functions, FFT, filters'' || ||Mar 4 ||'''Optimisation''' ''Principles of linear and non-linear optimisation'' || |
All sessions will take place in the West Wing Seminar Room, and will take approximately 2 hours. <<BR>> ||<tablewidth="697px" tableheight="271px"width="64px" height="20px" class="xl67"> ||<width="145px" class="xl69" style="border-left:none">'''Nov 18''' (Mon) ||<width="145px" class="xl69" style="border-left:none">'''Nov 19''' (Tue) ||<width="145px" class="xl69" style="border-left:none">'''Nov 20''' (Wed) ||<width="145px" class="xl69" style="border-left:none">'''Nov 22''' (Fri) || ||<rowstyle="mso-height-source:userset"height="40px" class="xl72" style="border-top:none;text-align:right">10:00:00 ||<width="145px" class="xl73" style="border-top:none;text-align:center" |2>'''Matrix Algebra ''' <<BR>> Alessandro Tomassini [[attachment:Matrix_Algebra_AT18.pdf|PDF]] ||<width="145px" class="xl73" style="border-top:none;text-align:center" |2>'''GLM I''' <<BR>> Olaf Hauk [[attachment:GLM1_19Nov19.zip|Scripts]] [[attachment:GLM1_19Nov19.pdf|PDF]] ||<width="145px" class="xl73" style="border-top:none;text-align:center" |2>'''Sampling, Signals, Noise''' <<BR>> Alessandro Tomassini [[attachment:Signal_sampling_noise_AT18.pdf|PDF]] ||<width="145px" class="xl73" style="border-top:none;text-align:center" |2>'''Functions And Calculus''' <<BR>> Tim Brochier, Tobias Goehring <<BR>> [[attachment:CBU_FunctionsVocoder_22Nov19.zip|Materials]] || ||<rowstyle="mso-height-source:userset"height="40px" class="xl72" style="border-top:none;text-align:right">11:00:00 || ||<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> ||<width="145px" class="xl73" style="border-top:none;text-align:center" |2>'''GLM II''' <<BR>> Mate Aller [[attachment:Matlab_Files.zip|[Mcode]]] ||<width="145px" class="xl73" style="border-top:none;text-align:center" |2>'''Optimisation''' <<BR>> Tobias Goehring [[attachment:Code_Optimisation_20Nov19.zip|Scripts]] ||<width="145px" class="xl73" style="border-top:none;text-align:center" |2>'''Filtering and Oscillations <<BR>> '''Tim Brochier, Tobias Goehring<<BR>> Materials as above || ||<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 between 18-22 November 2019.
Matlab is one of the most popular programming languages for neuroimaging analysis. However, our Matlab workshops also serve as a general introduction to scientific coding and signal analysis, which will be useful even if you are more likely to use Python, R etc. in your work.
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. We are not intending to provide a full Matlab or signal processing course, but we hope we can significantly facilitate the first few steps. There workshops provide a basis for the following workshop series "Introduction to Neuroimaging Methods".
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, and will take approximately 2 hours.
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Nov 18 (Mon) |
Nov 19 (Tue) |
Nov 20 (Wed) |
Nov 22 (Fri) |
10:00:00 |
Matrix Algebra |
Sampling, Signals, Noise |
Functions And Calculus |
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11:00:00 |
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13:30:00 |
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GLM II |
Optimisation |
Filtering and Oscillations |
14:30:00 |