Hi, i'm Marcos Vinicius Scholl!

Master's degree in Computational Modeling The Graduate Program in Computational Modeling (PPGMC) of FURG currently comprises an interdisciplinary Master's course in order to qualify its graduates to solve problems that require theoretical knowledge and applied to physical and mathematical models, and its efficient resolutions through numerical simulations and computational methods. Study of physical and mathematical models can describe complex systems with non-linear behavior, with applications to science and engineering. Also development of modern techniques for high-performance computing and scientific visualization. Perception systems study, decision making, control and drive, study techniques for treatment, filtration and prediction of signals in dynamic systems, robust control and stochastic, embedded computing, vision and machine intelligence.

Graduates from this program will be able to develop, operate and maintain administrative, financial and industrial systems; to evaluate and design databases; to develop and program systems using web technologies; to carry out technical feasibility studies using criteria based on cost and efficiency to select alternatives; to administer and develop data processing projects; to administer, dimension and maintain computer networks; to work as software engineers; and to work in teaching and research.

Laboratory introduction to image processing and pattern recognition using the Python language and library Numpy The course is aimed at undergraduate and postgraduate who are interested in improving your programming skills in knowledge systems standards based on images and to professionals working in the development of image processing software. Scientific programming skills in C / C ++, Java, Matlab or equivalent languages and a university degree with an emphasis in Engineering or subjects that require programming, algebra, calculus and statistics are prerequisites for those interested. The course aims to introduce practical concepts of image processing and pattern recognition and improve programming skills using matrix model.

Because it is self-taught on the Internet learned a lot, programming for embedded hardware like Arduino and RaspberryPi, fundamental electronics and Python are one of them.