The history of the department goes back to 1943, when Odessa Industrial Institute was relocated to Penza. On the day of its foundation, the Penza Industrial Institute consisted of 11 departments, including the Department of Higher Mathematics, eventually received its present name, i.e. the Department of Higher and Applied Mathematics.

Students are educated within three focus areas: 1) fundamental mathematical training; 2) programming, computer graphics, computer architecture, application software; 3) numerical methods and mathematical models in physics, ecology, and economics. Such education allows graduates to engage in industrial and research activity in any field where programming, numerical methods, and mathematical models are required. Therefore, they work in research and production associations, universities and technical schools, banking and taxing sectors. Graduates of the department are in demand both in Russia and abroad. More than 10% of graduates have defended their theses.

Research is carried out within the research and education school “Analytical and numerical methods for solving equations of mathematical physics” established at the department in 1983. The most significant results have been achieved in the following areas: theory of approximation, singular and hypersingular integral equations, quadrature formulas, dynamic systems, mathematical and numerical methods for solving direct and inverse problems of gravity exploration, identification of dynamic systems, and mathematical models in ecology and biology.

The Department of Higher and Applied Mathematics has close ties with many institutions, both in Russia and abroad. Its students and staff participate and arrange various conferences and workshops on mathematical and computer modelling, control systems synthesis, etc. Staff of the department have published more than 500 scientific papers, received dozens of patents, released several hundred textbooks and guidelines.

DEGREE PROGRAMMES

Bachelor

     Applied Mathematics: Mathematical Simulation in Economics and Technology

Master

     Applied Mathematics and Informatics: Mathematical Simulation in Economics and Technology

Post-graduate

     Computational Mathematics
     Mathematical Simulation, Numerical Methods and Software Systems

RESEARCH

Research topics

•    Mathematical methods of computer-aided learning
•    Numerical methods of economic synergetics
•    Quantum computers and quantum computing
•    Approximate and optimal methods for calculating singular and hypersingular equations
•    Theory of approximation
•    Analytical and numerical methods for identifying parameters of dynamic systems
•    Approximate solution of direct and inverse problems in gravimetry
•    Mathematical models in immunology
•    Mathematical models in medicine

Collaboration

A.N. Podgorny Institute of Mechanical Engineering, National Academy of Sciences (Ukraine)
Dokur Eylul University (Turkey)
Kansas State University (the USA)
Mathematical Review Journal (the USA)
N.I. Muskhelishvili Institute of Computational Mathematics, Georgian Technical University (Georgia)
Pensilvania State University (the USA),
Penza Research Institute of Electrical Engineering
Research Institute for Physical Measurements
Scientific and technical enterprise Cryptosoft
University Putra Malaysia (Malaysia)
V.M. Glushkov Institute of Cybernetics, National Academy of Sciences (Ukraine)
Zentralblatt Journal (Germany)

CONTACTS

Dr. Aleksandr Tynda
Candidate of Physical and Mathematical Sciences, Associate Professor
Head of the Department

40 Krasnaya Street, building 8, office 708
Tel: +7 (8412) 20-83-91
E-mail: math@pnzgu.ru
Web-page of the Department of Higher and Applied Mathematics (in Russian)