The Federal University of Rio Grande, in their charters and bylaws, assumes the responsibility to create conditions so that man is a participant, creative, critical and responsible, given the socio-economic, philosophical, cultural, artistic, technological and scientific. More specifically, the Federal University of Rio Grande takes as institutional vocation, the coastal ecosystem, seeking an understanding of the interrelationships between organisms, including man there, and the environment.

The Computational Modeling fits into this context, as a research and development tenológico field that encompasses various methods of representing objects of study from natural processes, or artificial. Thus, the complexity of the interrelationships present in the coastal ecosystem, is in Computational Modeling a paradigm that has proved suitable, able to capture all the fundamental aspects of the problem, at a level of detail that it deems appropriate. We consider that the Computational Modeling should be able to enhance the transformation of scientific knowledge in technology and development, which arises also in accordance with the needs required by the regional environment, currently driven by the installation of a naval pole in Rio Grande, and institutional.

 

Clearly, the Computational Modeling aims to create, review, edit, compose, manage and explore models for complex systems linked to different domains and applications. This resolution involves the development of statistical and mathematical models, algorithms and simulation techniques, data manipulation, data mining, among others. The model is thus one of the own research products, being interpreted as a process that filters, transforms, merges and generates data and information. Additionally, it should be considered different ways to incorporate uncertainty in the models which leads to the adoption of robust methods for treating these uncertainties.

 

The Computational Modeling passes thus by incorporating mathematical methodologies, statistics and computer through an articulate and dialogue-based strategy. This approach allows the development and use of models in various resolutions and detail levels needed. A computer model can allow the synergistic interaction between the various mathematical and statistical paradigms available for the representation of a complex phenomenon within the same framework. The Computational Modeling operates as a means of contact and exchange between other more traditional forms of modeling (statistical modeling, mathematical modeling) in order to achieve another perspective. The Computer Science is present in this context, it is also an approach that develops when faced with the challenges presented within the Computational Modeling. We can mention in this regard the efficient execution of simulations, planning interfaces that leverage the synergy between users and artificial agents, the development of search and optimization techniques, among others. Due to the need for interaction between areas of knowledge and in view of the heterogeneous character present on the challenges involved, the Computational Modeling requires, for his treatment, body teaching and student body willing to interdisciplinary approach. Knowing that this assumption is not trivial to be served,

 

In this context, the master's dissertations since the program's inception cover the various topics mentioned. Examples of works completed are: conversion potential evaluation in energy chains in the South Brazilian Shelf, Modeling in linear programming in solving Fuzzy interval games, power converter waves into electrical energy with oscillating water column device: Simulation numerical and geometric study and Tracking in shipbuilding and assembly environments.

 

Historic

 

The Master's course PPGMC began operating from the second half of 2006. The same was originally characterized as a distinct interdisciplinary course due to the formation of their teachers, which included doctors in engineering, mathematics, physics, computer science and oceanography and audience seeking answers, supplying a demand for a master's degree graduates who could have as tickets coming from the mechanical engineering courses, civil and computing, mathematics and physics FURG as well as related areas of courses in other universities in the region.

Despite the diversity of the faculty, the course of action that united all researchers is scientific computation, which was the focus of studies of teachers, especially computing group, and a key tool in the research of others, thus justifying the creation of a post interdisciplinary graduate program of as an area of ​​concentration computational modeling.

Originally, the program was designed with two lines of research:

physical and mathematical modeling: systems study with non-linear behavior, with applications to science and engineering, such as in the study of gravitational systems, inverse problems, transport phenomena, etc.

numerical methods and computational simulation: development of computational models in various fields of science and engineering and application of high performance and simulation processing techniques.

 

These two search lines were maintained in this configuration until 2009 when, due to the growth of the faculty, the program has been redesigned with three new lines of research are:

scientific computing and physics and mathematical modeling: study of physical and mathematical models able to describe complex systems with non-linear behavior, with applications to science and engineering. It is also performed in this research studies on the development of modern techniques of high performance computing and scientific visualization.

Geophysical modeling and fluid transport phenomena: study of evolution and adaptation phenomena associated with fluids Modeling and Transport Phenomena with emphasis on ocean and air circulation problems, dispersion of pollutants, thermodynamic and transport in porous media resin.

Modeling of robotic and autonomous systems: perception systems study, decision making, control and drive, study treatment techniques, filtering and prediction signals in dynamic systems, robust and stochastic control, embedded computing, vision and machine intelligence.

 

Recently, with the inclusion of financial resources and the significant increase in the number of teachers FURG, MEETING reflexes began to emerge at the university several other graduate programs in areas that were originally served only by PPGMC. The effect of this growth, there was again a major change of PPGMC faculty board that is providing the program to a further restructuring of its research. Currently the program is being reorganized on the basis of three new lines of research:

Computational Mechanics: this line of research is mainly focused on the numerical approach to engineering problems related to fluid mechanics, heat transfer and solid mechanics. Among the objectives, seeks recommendations for engineering problems such as the design of devices used for renewable energy conversion into electrical energy, manufacturing processes, structural analysis, simulation of complex arrangements of artifacts such as fins, heat exchangers, among others. The geometric optimization of various engineering systems mentioned and the study of complex phenomenology are also studied numerically.

Modeling geophysical phenomena: study of evolutionary related phenomena and adaptive modeling and Fluid Transport Phenomena with emphasis on problems of atmospheric and ocean circulation and dispersion of pollutants.

Computer Science and Modeling Physics, Mathematics and Statistics: study and development of numerical methods and analytics related to Computational Modeling, working on the development of approaches to physical and mathematical models capable of promoting the description and analysis of complex systems, with applications in science and engineering : optimization, inverse problems, stochastic models, modeling, processing and analysis of scientific data. Aims to promote the synergistic interaction of different fields of knowledge, providing tools to investigate complex phenomena which, until recently, could not be treated within the strict domain of established disciplines.