
Explore how Scilab offers an open source alternative to MATLAB for numerical computations across engineering fields, featuring an interpreter, libraries, debugger, and shareable toolboxes.
Master scilab's model based design interface, building system models with blocks and signals, configuring sources, transfer functions, and pulses to visualize outputs and responses.
Learn how Scilab handles data types, variables, and constants, including integers (8/16/32), booleans, unsigned types, complex numbers, and special values like not a number, infinity, pi, and machine precision.
Learn vector and matrix declaration in Scilab for numerical data. Use bases, column vectors, and semicolons to build and extend matrices.
Explore how to compute the inverse, transpose, and eigenvalues of a matrix in Scilab, including determinant checks and handling singularity.
Explore determinant calculations for 2x2 and 3x3 matrices in Scilab, using a calculation pipeline and distribution-based approach with worked examples.
Discover how to plot a mathematical equation in Scilab by creating vectors X and Y, using interspace and block function, and visualizing Y as a function of X.
Learn how to create multiple plots in a single Scilab figure and divide it into subplots using the subplot function, specifying rows, columns, and positions for each graph.
Explore bar plots in Scilab, including group and stacked styles, to compare student scores across math, science, and arts. Learn to build a matrix, label axes, and configure legends.
Open a file, write variables with a dedicated function, then read them back using a file descriptor; explore text and binary modes and properly close the file.
Explore input and output functions in SCILAB, including input prompts, type of command checks, and printing with fprintf-like formatting, plus load and display of variables in the console.
Learn to create and run script files and user defined functions in Scilab Ed. Define functions with input and output parameters, manage local and global scope, save scripts with extensions.
Learn integral calculation with definite integrals, limits, and the integrate function in Scilab to evaluate complex expressions and define related variables.
SCILAB stands for SCIENTIFIC LABORATORY is an open-source alternative to MATLAB which means SCILAB can be installed and used in personal computers without paying for a license (freely available to use). Although MATLAB which is a more powerful software than SCILAB is a proprietary product, and to use it for personal (or) commercial purposes one needs to purchase a license, which is very expensive. SCILAB software is used for performing numerical computation. It is used in all major scientific areas such as space, aeronautics, defense, finance, etc.
SCILAB includes a free package called SCICOS (XCos) which provides the model-based environment for designing continuous or discrete systems. In this course, we have a separate chapter to explore the various functionalities available in XCos with the practical implementation of the system.
SCILAB is matrix oriented just like MATLAB, so by using matrix-based computations for performing numerical computations, the length of code can be shortened significantly. In SCILAB we can do programming on neural networks, image processing, fluid dynamics, numerical optimization, etc.
Check what some of our existing students have to say about the same course
"It is one of the most demanded skills in the industry and this course covers all the details and information required to master it. I recommend everyone to give it a try!!" - Anurag Shukla
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Become an expert in MATLAB/SCILAB Programming and Scientific Computing. Advance your career in Engineering Physics Biology etc
Please note… I am very confident that you will like the course and therefore provides you with a FULL money-back guarantee for 30 days! So there is a ZERO risk and nothing to lose.
Finally, I am super excited to teach you SCILAB, so hit enroll and enjoy learning a course SCILAB: The Open Source Alternative of MATLAB.
What will you learn in this Course?
1. Introduction to SCILAB environment
2. Learn about various Data Types, Constants, and Variables
3. Declare Vectors and Matrix, along with Special Matrices
4. Perform Matrix Addition, Multiplication, Inverse, Eigen Value Calculation
5. Determinant of 2×2 and 3×3 Matrices
6. Methods of defining Polynomials
7. Solve the System of Linear Equations
8. Plotting Data and Mathematical Equations in SCILAB
9. Combining Plots and Subplots
10. Axis Labels and Titles, Writing Equations on the axis of Graphs using LATEX
11. Plotting Data in the form of Bar Chart (Bar Plot)
12. File Handling Operation like how to perform Reading, Writing and Closing
13. Operation of MS Excel File Data
14. Writing Functions and Scripts
15. Perform Integration operation on Mathematical Equations
16. Define a Continuous-Time System: Second or higher Order
17. Response Plot for Sinusoidal Input
18. Plots of Poles and Zeros of a Continuous-Time System
19. Bode Plot for Frequency Response Analysis
20. Root Locus Plot
21. Introduction to SCICOS (XCos) similar to SIMULINK
22. Step Response of a First Order Control System using XCos
23. Step Response of a Second-Order Control System using XCos
24. Calling a User Defined Function for Analytical Analysis of Project in XCos
25. Hands-on Projects