Info

INTELLIGENT SYSTEMS

Information Technologies and Computer-Aided Systems

Head of the programme: Rustam A. Faizrakhmanov, Doctor of Economics, Professor, Head of Information Technologies and Computer-Aided Systems Department

Academic degree: Master’s degree.

Area of study (qualification):
230100.68 Information Science and Computer Science.

Priority development areas of PNRPU:
Urban Development

Target of the programme:
providing high quality specialists knowing advanced methods, techniques, information technologies of developing intelligent information systems of data processing and knowledge integration from different areas, able to use their knowledge in scientific, engineering, academic and administrative work, taking part in informatization of enterprises and organisations.

Programme characteristics:
professional expertise areas of the Master’s programme comply with the Master’s programme Distributed Computer-Aided Systems. Master’s programme provides graduates with the following knowledge: mathematical and ontological modelling, system analysis, engineering, reengineering and scientific research methods. The programme takes Master’s individual characteristics into account, so the curriculum is also based on this principle. There are opportunities for Masters to take part in a wide range of scientific researches in information processing systems, developing highly intellectual simulation complexes, object identification, computer graphics, navigation and control systems, developing software for the Internet systems, mobile applications, built-in systems and digital signal processing systems. Master’s specialists have good knowledge of methods and techniques of intelligent computer engineering systems development, intelligent information systems, they are able to create and support them. Those graduates interested in scientific work can have a further postgraduate and doctoral course.

Target group:
Bachelors in the following areas: 231000.62 Software Engineering, 230100.62 Information Science and Computer Science, 230400.62 Information Systems and Technologies.

Major clients:
ZAO Prognoz, OAO Business Computer Soft, ZAO IVS-Seti, IVS Group of companies, OAO LUKOIL-Inform, OAO NIIUMS, OOO Rubin, OOO Applied Economics Centre, OOO TIK Scientific and Production Company, OOO Perm Computer Engineering and Information Science Company, Territory Compulsory Medical Insurance Fund, OAO Perm Engine Company, OAO Aviadvigatel.

Possible places of work for the programme graduates:
information departments of industrial enterprises, commercial companies, banks, scientific and research, educational institutions, different job positions in IT companies.

Cooperation with research and development institutes and enterprises within the programme:
the Master’s programme is made and supported by specialists from ZAO Prognoz, OAO Business Computer Soft, ZAO IVS-Seti, IVS Group of companies, OAO LUKOIL-Inform, OAO NIIUMS.

List of main subjects:
- Intelligent systems of control. - Intelligent technologies in the Internet. - Mathematical methods in intelligent systems. - Simulation and computer graphics. - Engineering design of intelligent systems. - Identification of figures and images. - Distributed databases. - Advanced technologies of information search and processing. - Automation of administrative and managerial work. - Automation of paper flow. - Computer-assisted systems for scientific researches. - Security and protection of information in intelligent systems. - Geographic information systems.

Facilities:
using advanced material and technical facilities of PNRPU Information Technologies and Computer-Aided Systems (for more information, please read the Master’s programme Distributed Computer-Aided Systems).

Competitive advantages of graduates:
our graduates gain the following expertise and knowledge: performing system analysis and ontological modelling for computer-assisted objects, using modern technologies of engineering design and development of intelligent computer-aided systems of proper quality and security. The gained knowledge can be used for development of expert systems necessary for medical science, robot technology, monitoring emergencies; development of information search systems.

Academic staff:
R.А.Faizrakhmanov, Doctor of Economics, Professor, Е.V.Dolgova, Doctor of Economics, Professor, N.I.Аrtemov, Doctor of Economics, Professor, АН.Rumyantsev, Doctor of Physics and Mathematics, Professor, S.N.Kostarev, Doctor of Technical Sciences, Professor, A.L.Goldshtein, PhD in Technical Sciences, Professor, V.Аlmukhametov, PhD in Technical Sciences, Associate Professor, G.F.Masich, PhD in Technical Sciences, Professor, А.Е.Soloviev, PhD in Technical Sciences, Associate Professor, О.I.Mukhin, PhD in Technical Sciences, Associate Professor, А.М. Notkin, Associate Professor, О.L.Vikentieva, PhD in Technical Sciences, Associate Professor, О.А Polyakova, PhD in Technical Sciences, Associate Professor, I.N.Lipatov, PhD in Technical Sciences, Associate Professor, А.V.Kychkin, PhD in Technical Sciences, Associate Professor, R.Т.Murzakaev, PhD in Technical Sciences, Associate Professor.