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