History and Proposal of the Program

Mathematical and Computational Modeling is a scientific field which makes extensive use of Mathematics and Scientific Computing, and it is oriented toward the use of mathematical and computational methods in the developing of mathematical models seeking solutions to current problems in various areas of knowledge. The Stricto Sensu Graduate Program in Mathematical and Computational Modeling (PPGMMC) at Unijuí has as its main objective the use of mathematical modeling as a fundamental theme in its Master's Dissertations and Doctoral Theses, improving the production processes, especially in the agro-industrial sector of the region and the country, as well as the training of professionals in this field to work in higher education and in companies as professors/researchers and scientists.

Currently, mathematical and computational modeling is used in several applied problems, and different themes are focuses of research within the PPGMMC, such as: system identification, dynamic systems and systems control in engineering, storage and drying of grains, wireless sensor networks and smart grid planning, mobile robotics, problems involving optimization, plant breeding, physiology of cultivated plants, production of new materials for engineering, systems control and automation, integration solutions in business applications, artificial intelligence, data mining, microelectronics, among others. More information about the research themes developed in the PPGMMC can be found to the right of this page, under the link Research Groups and Projects.

The PPGMMC consists of the Doctoral and Master’s Programs in Mathematical and Computational Modeling. The Doctoral Program offers 10 annual openings and it is structured into 48 credits, of which 12 credits correspond to Required Courses (a total of 6 courses); 24 credits correspond to Applied Research courses, which include Research Work I, II, and III, Thesis Seminar, Qualifying Exam, and Thesis Work; and 12 credits correspond to Elective Courses, equal to 6 courses to be chosen by the student/advisor from a list of 32 courses available in the Program.

The Master’s Program offers 25 annual openings and it is structured into 32 credits, of which 12 credits correspond to Required Courses (a total of 6 courses); 10 credits correspond to Applied Research courses, which include Research Work I, Dissertation Seminar, and Dissertation Work; and 10 credits correspond to Elective Courses, equal to 5 courses to be chosen by the student/advisor from a list of 32 courses available in the Program. The academic calendar follows a semester system, with classes held on Monday afternoons and on Tuesdays for the entire day.

Target Audience:

The Program includes professionals who hold a higher education degree in Mathematics, Physics, Engineering, Agricultural Sciences, Computing, and/or areas related to mathematics.