SCILAB: The Open Source Alternative of MATLAB

Description

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

"The instructor has explained in a very easy way. Thanking him for his hard work!" - Pushkaraj Thakur

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

What You Will Learn!

• SCILAB programming fundamentals.
• Working with Scinote-file, Function, Script and XCos
• Visualize data in 2D and 3D
• Think like a Programmer and Develop your own coding style
• You can implement and analyze engineering problems
• You will be able to implement technical projects offered at University/College.
• Alternative of MATLAB

Who Should Attend!

• This course is designed for Beginners, and in the end, you will be at an intermediate level from where you have the knowledge to start implementing the fundamental problems associated with your field of study. It is also helpful for Engineers and research scholars to perform a scientific study. This course is a foundation for the more advanced courses on SCILAB. It is a good opportunity for students to start learning this programming language for scientific computation.

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