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. Onsite live Scilab training can be carried out locally on customer premises in Erfurt or in NobleProg corporate training centers in Erfurt.
Our training facilities are located at Otto-Schwade-Strasse 8 in Erfurt. Our spa...
Overview
Our training facilities are located at Otto-Schwade-Strasse 8 in Erfurt. Our spacious training rooms are located to the east of Erfurt's old town and offer optimal training conditions for your needs.
Directions
The NobleProg training rooms are easy to reach via the A71 motorway and the B7 federal road. If you arrive by train, it is not far to Erfurt main station with its good ICE connections.
Parking spaces
There are parking spaces in the surrounding streets around our training rooms.
Local infrastructure
There are numerous restaurants and hotels in the old town, which can be reached on foot, and as the capital of Thuringia, Erfurt has a lot to offer.
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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