Scilab Training Course

Scilab is a well-developed, free, and open-source high-level language for scientific data manipulation. Used for statistics, graphics and animation, simulation, signal processing, physics, optimization, and more, its central data structure is the matrix, simplifying many types of problems compared to alternatives such as FORTRAN and C derivatives. It is compatible with languages such as C, Java, and Python, making it suitable as for use as a supplement to existing systems.

In this instructor-led training, participants will learn the advantages of Scilab compared to alternatives like Matlab, the basics of the Scilab syntax as well as some advanced functions, and interface with other widely used languages, depending on demand. The course will conclude with a brief project focusing on image processing.

By the end of this training, participants will have a grasp of the basic functions and some advanced functions of Scilab, and have the resources to continue expanding their knowledge.

Audience

Data scientists and engineers, especially with interest in image processing and facial recognition

Format of the course

Part lecture, part discussion, exercises and intensive hands-on practice, with a final project

Thank you for sending your enquiry! One of our team members will contact you shortly.

Thank you for sending your booking! One of our team members will contact you shortly.

Course Outline

Introduction

Comparison with other languages

Getting started

Matrix operations

Multidimensional data

Plotting and exporting graphics

Creating an ATOMS toolbox

Interface with C, Java, and others

Final project: Image analysis

Closing remarks

Overview of useful libraries and extensions

Requirements

Applied mathematics up to linear algebra
Helpful to know the basics of Matlab

14 Hours

Need help picking the right course?

Testimonials (5)

The variation with exercise and showing.

Ida Sjoberg - Swedish National Debt Office

Course - Econometrics: Eviews and Risk Simulator

the trainer had patience, and was eager to make sure we all understood the topics, the classes were fun to attend

Mamonyane Taoana - Road Safety Department

Course - Statistical Analysis using SPSS

Day 1 and Day 2 were really straight forward for me and really enjoyed that experience.

Mareca Sithole - Africa Health Research Institute

Course - R Fundamentals

The pace was just right and the relaxed atmosphere made candidates feel at ease to ask questions.

Rhian Hughes - Public Health Wales NHS Trust

Course - Introduction to Data Visualization with Tidyverse and R

Michael the trainer is very knowledgeable and skillful about the subject of Big Data and R. He is very flexible and quickly customize the training meeting clients' need. He is also very capable to solve technical and subject matter problems on the go. Fantastic and professional training!.