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Equations of Mathematical Physics and Applications

Master’s Degree Program: Equations of Mathematical Physics and Applications
Period of study: four semesters
Form of study: full-time
ECTS: 120
Coordinator: Prof. Nedyu Popivanov, Doctor Habil.
University of Sofia,
Faculty of Mathematics and Informatics,
5 James Bourchier blvd., 1164 Sofia, Bulgaria,
Phone: +359 2 8161 532,
e-mail: nedyu@fmi.uni-sofia.bg

The main goal of the master programme is to prepare skilled specialists not only for theoretical research in the field of Equations of Mathematical Physics, but also in their numerous applications. The trained specialists are expected to possess flexibility, uniqueness of their training and communication abilities. Contemporary life gives opportunities to use powerful computers and new complex and effective numerical methods to solve difficult problems for both Linear and Nonlinear Partial Differential Equations. That’s why the master programme includes compulsory and elective courses in Partial Differential Equations and also various courses in Numerical Analysis for corresponding Equations. For better understanding of models and means of differential equations of theoretical mechanics, their numerical solving by modern methods and visualization of results, special courses are offered. Many processes in natural and social sciences, industrial and civil engineering, economics, biology etc., are related to concepts, ideas, models and methods from the field of Differential Equations.
Students may finish the programme by preparing a master thesis with theoretical or applied orientation. They have the opportunity to choose a specific subfield of Applied Mathematics and to receive the needed professional guidance and help by highly qualified advisors. Graduates may work in the field of theoretical study and also in spheres interested mainly in applications.
A part of the education is training the students to apply special numerical methods using a parallel architecture supercomputer for visualization and simulation of models of real processes in a newly equipped laboratory.
Another goal of the programme is to create sufficient skills of the graduates for future PhD or self-dependent research work.