The study course is designed to develop students' skills and skills to work with MATLAB's programming language and give an introduction to Python's programming language. The study course addresses the following topics: programming MATLAB, working with matrices, graphs, linear equation systems, approximation, interpolation, numerical integration, and symbolic mathematics. The study course contains activities related to modeling electronic circuits: for example, we look at the modeling of linear and non-linear electronic circuits in Matlab, as well as the activities related to simulation, such as providing insights into simulating an average and RMS value calculations in the Matlab Simulink environment.
The study course is adapted to a combined study methodology. It includes asynchronous and synchronized study activities and the necessary supporting materials for asynchronous study activities (video lectures, interactive materials, laboratory descriptions, homework).
Learning a high-performance computation platform would mean more opportunities that could be accomplished in the future after completing this course, and it also includes activities related to the training of a neuron network. Students are also expected to use the high-performance computation platform during the course project, modelling the motion and interaction of multiple particles. By studying the study course, the students acquire digital skills of the highest levels corresponding to the DigComp 7th level of the digital competence framework of European citizens.
Nowadays, knowledge of MATLAB and Python is vital. Their application area is wide, from plotting graphs for laboratory work to making calculations for scientific publications. MATLAB is also used in future study courses. The knowledge of MATLAB and Python will also be necessary for future careers, especially in scientific institutes such as the Institute of Electronics and Computer Science or research-related companies such as “SAF tehnika”.