Methods of Applied Mathematics and Computer Science in Control Problems
02.04.03 In Russian
Level of education Master
Type of instruction Full-time
Duration 2 years
Programme description
- The academic programme is designed to train experts in control and mathematical modelling. The courses taught within the programme are structured in such a way that the rigorous computations and detailed proofs are illustrated with real-world examples, and all the methods studied have practical applications. Graduates of the programme therefore become specialists across theoretical mathematics and engineering practice
- The academic programme provides students with an opportunity to choose their learning path, each of which is supervised by practising scientists who are experts in applied mathematics. An individual approach to each student is achieved through an opportunity to choose their research supervisor. Since the choice of supervisor is a choice of several dozen (about one hundred) professors at St Petersburg University, students can obtain a narrow specialisation in almost any field of applied mathematics and computer science
- Additionally, the lecturers of the programme are continuously engaged in cutting-edge research projects, where they can select tasks for their students whose solutions can be published in top-rated Russian and international scientific journals, and presented at scientific conferences
Main academic courses
- Automated Construction of Mathematical Models
- Supplementary Chapters of Mathematical Analysis of Dynamical Systems
- Smart Mechatronic Systems
- Mathematical Models in Biophysics and Ecology
- Mathematical Models of Nanostructured Systems
- Methods of Optimal and Sub-Optimal Estimation in Dynamical Systems and Processes
- Mechanics of Composite Materials
- Practical Realisation of Modern Methods of Solving Boundary Value Problems for Controllable Systems
- Practical Applications of the Theory of Analytical Functions in Solving Boundary Value Problems
- Discrete and Probabilistic Models
- History and Methodology of Applied Mathematics and Computer Science
- Mathematical Modelling
- Operations Research Methods and Models
- Continuous Mathematical Models
- Complex Networks
Our advantages
- The school of applied mathematics and control processes at St Petersburg University is known both in Russia and abroad for the strong mathematical training of its graduates combined with practical knowledge in various fields
- The fundamental training is in line with the traditions of the St Petersburg school of mathematics. This makes it possible for graduates to apply reasonably methods of applied mathematics and computer technology for creating, analysing and using mathematical models of controlled processes and dynamic objects. The models can solve problems of science, technology, biology, economics and management
- Mathematical modelling to build and analyse controlled and uncontrolled dynamic systems is currently an actively developing field of applied mathematics and computer science. This opens up unlimited opportunities for students and graduates to take part in research. They can present their results in top-ranked Russian and foreign academic journals and at international conferences
Main areas of research
- Controlled systems
- Delayed systems
- Digital control tasks
- Analysis of complex systems
- Deformable body mechanics
- Robotics
- Mathematical Modelling
- Computational methods in modern natural science
Career opportunity
- The programme is aimed at training specialists capable of solving both the theoretical and practical problems of modern control theory. In the process of training all stages of the solution of applied problems are considered in detail, from model construction to technical implementation of the obtained theoretical results
- The graduates can work in the field of information technology, solve cutting-edge technical and engineering problems, in particular — to participate in the development of modern vehicles (ground transport, waterborne craft, air transport and spaceships) and creating new energy production methods and improving the efficiency of the existing ones
Professions
- Systems analyst
- Research mathematician
- Research engineer
- IT specialist
- Head of research groups
- Project manager
- University lecturer
International relations
- KU Leuven (Belgium)
- The Centre for Research and Advanced Studies of the National Polytechnic Institute (CINVESTAV) (Mexico)
- The Karlsruhe Institute of Technology (Germany)
- The University of Craiova (Romania)
- Jilin University (China)
- Harbin Institute of Technology (China)
- Beijing University of Technology (China)
- The Huazhong University of Science and Technology (China)