Content of the Email to be sent for Scilab workshop.
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+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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+[Textbook Companion Project] Scilab workshop details
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