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diff --git a/pytask/templates/emailscontent/tbc_scilab_workshop_body.html b/pytask/templates/emailscontent/tbc_scilab_workshop_body.html new file mode 100644 index 0000000..6500a53 --- /dev/null +++ b/pytask/templates/emailscontent/tbc_scilab_workshop_body.html @@ -0,0 +1,68 @@ +Dear all, + +Thanks for your participation during the Python workshop during 22nd, 23rd +Jan. Below are the details of the workshop on Scilab on 26th Jan 2011. + +This Wednesday we will have a Scilab workshop conducted at IIT Bombay. + + Date: Wednesday, 26th January, 2011 + Venue: A1/A2, Mathematics Department, IIT Bombay + Time: 10:00am to 05:30pm + +Scilab is a free and open source platform (on various operating systems) for +numerical computation. This workshop will benefit those who use, or intend +to use, numerical packages like MATLAB for their computational needs. + +You are required to bring your own laptop for this workshop. You will need +to download and install Scilab for this workshop from: +http://www.scilab.org/download +Linux users may find Scilab to be available +from their package manager- please install before coming. + +It is also recommended that you bring your own headphones for this workshop, +although a limited number will be made available at the venue. The morning +session will use spoken tutorials (video screencast explanations) to cover +the following topics: + + - Introductory Scilab + - Matrix Operations + - Scripts and Functions + - Plotting + +It is required that you download the spoken tutorials *before* coming for +the workshop. Unlike the weekend, +an internet connection will not be available at the venue. + +The spoken tutorials are available at: +http://www.ee.iitb.ac.in/student/~sengupta/scilab/workshop/basic +<http://www.ee.iitb.ac.in/student/%7Esengupta/scilab/workshop/basic> +(You may download all tutorials in one file using the ALL-Tutorials.tar.gz +file) + +The afternoon session will consist of short demonstrations on the following +topics (roughly in this sequence): + + - Conditional Branching and Iteration + - Polynomials + - Ordinary Differential Equations + - Control Systems + - Signal Processing/Filter Design + - Image Processing + - Chemical Engineering Applications + - XCos (Block diagram simulation environment like Simulink on Matlab) + +Here are a few more areas that Scilab can be applied to; +we will NOT be covering for shortage of time: + + - Data acquisition and hardware control + - Wavelets + - Data analysis, Statistics and Probability + - Linear Algebra and Optimization + - Video processing + - Communication + - Graph theory + - Artificial Neural Networks + - Symbolic computations + +Regards, +Scilab group of the FOSSEE team
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