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. Bremen onsite live Scilab trainings can be carried out locally on customer premises or in NobleProg corporate training centers.
Our training facilities are located at Konsul-Smidt-Str. 8 in Bremen. Our spacious tra...
Overview
Our training facilities are located at Konsul-Smidt-Str. 8 in Bremen. Our spacious training rooms are located near the Weser river, within walking distance of the European port, and offer optimal training conditions for your needs.
Arrival
The NobleProg training facilities are conveniently located near the Konsul-Smidt-Strasse stop, Bremen main station is easy to reach and Bremen can best be reached by car via the A1 motorway.
Parking
Parking is available in the surrounding streets around our training rooms.
Local Services
In the area of the Weser bank there are numerous restaurants and the city centre is within walking distance.
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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