Online or onsite, instructor-led live Scilab training courses demonstrate through interactive hands-on practice the basic and advanced functions of Scilab.
Scilab training is available as "online live training" or "onsite live training". Online live training (aka "remote live training") is carried out by way of an interactive, remote desktop. Cologne onsite live Scilab trainings can be carried out locally on customer premises or in NobleProg corporate training centers.
Our training facilities are located at Theodor-Heuss-Ring 23 in Cologne. Located in a ...
Overview
Our training facilities are located at Theodor-Heuss-Ring 23 in Cologne. Located in a modern office building, our premises offer enough space for successful training courses centrally in Cologne, within walking distance of the underground station Ebertplatz.
Arrival
The NobleProg training facilities are located on the left bank of the Rhine, easily accessible from Cologne Central Station via underground lines 16 and 18. The building has a limited number of parking spaces.
Parking
Cars can be parked in the area along the Torstrasse and the nearby side streets, even if you may have to search for a moment. There is no charge for parking.
Local Services
In the area of Cologne's old town there are numerous localities and around the Cologne Cathedral, the landmark of the city, there are numerous hotels.
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
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Testimonials (1)
The quantity of exercises performed. Help from the trainer on each problem encountered during the exercises. He clarifies the process for us without giving the result.
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