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| Overview | ||||||||||||
Scilab Online Course The Scilab course is an online course. It has 25 teaching hours to be finished in 5 weeks. At the end of the course an aptitude certificate will be issued to the students who pass the course. The students receive manuals in pdf format, video-tutorials and solved exercises. An online platform is available 24 hours/7 days a week. The teacher has experience with Scilab. The whole material (video-tutorials, exercises and texts) is available from the first day and there is no schedule. Video-tutorials are recorded. This enables each student to progress according to his learning pace. The course structure is the following: · 7 chapters about theory and solved exercises · Obligatory exercises to pass the course · Optional exercises to improve the level |
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| Description | ||||||||||||
| Proposed for: Engineers, technical engineers, graduates in physics, scientists, teachers, students, and anyone interested in learning high level programming and a tool oriented to solve numerical problems. Objectives: The aim of this course is obtain the necessary knowledge to solve numerical problems through Scilab capacities. This course is oriented to anyone interested in Scilab software handling without previous knowledge. General description of open source software Scilab: Scilab is an open source, cross-platform numerical computational package and a high-level, numerically oriented programming language.it can be used to some simulation problems. You can download it free at the website: www.scilab.org |
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| Contents | ||||||||||||
| 1. Introduction 1.1 Downloading and using the application 1.2 Application environment 1.3 Generalities and basic commands 2. Matrices and vectors 2.1 Creation 2.2 Notation and operations 2.3 Elemental functions and linear equation system 3. Programming 3.1 Scripts 3.2 Functions 3.3 Orders and flow controls 3.3.1 if 3.3.2 for 3.3.3 while 3.3.4 select 3.3.5 others 3.4 First practical case 4. Numerical Methods 4.1 Linear equation system 4.1.1 Diagonal System 4.1.2 Upper triangular system 4.1.3 Lower triangular system 4.1.4 Gauss Method 4.1.5 LU Factorization 4.1.6 Least-square solution 4.2 Non Linear equation 4.2.1 Newton-Raphson Method 4.3 Non Linear Equation System 4.3.1 Newton method in R 4.3.2 Problem Resolution 5. Symbolic calculation 5.1 Polynomials 5.2 Operations with Symbolic functions 5.3 Limits calculation 5.4 Differential calculus 5.5 Integral calculus 5.6 differential equation system 6. Graphics 6.1 2D Graphics 6.2 3D Graphics 7. GUI with Scilab 7.1 Generalities 7.2 Case1: 3D graphic execution through GUI 7.3 Case 2: script execution through GUI |
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| Registration information | ||||||||||||
If you are interest in this course, please fill in the Registration Form or contact us at info@technicalcourses.net and we will respond to any enquiry you may have. Our contact:
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