Applied Computer Technologies and Artificial Intelligence
Source: https://english.spbu.ru/admission/programms/undergraduate/applied-computer-technologies-and-artificial-intelligence Parent: https://english.spbu.ru/admission/programms/undergraduate
27.03.03 In English and Russian
Level of education Bachelor
Type of instruction Full-time
Duration 4 years
Programme description
- The academic programme is designed to: introduce students to the main areas of modern computer technology; develop skills in structuring and processing information; and develop skills to build mathematical and computer models of different objects and systems and develop skills to solve problems using artificial intelligence systems
- The academic programme provides training for experts in systems analysis and control; and in any field that uses cutting-edge computational methods and software tools. They are also capable of solving specific design and engineering problems
- The programme is suitable for school leavers who are interested in studying physics, mathematics and computer science, and have a good background in computer science and mathematics
Main courses
- Programming Technology
- High-Performance Computing and Software Systems
- Systems Automation and Management of Business Processes
- Methodology of Cyberimmunity
- Mathematical Methods of Cryptographic
- Introduction to Quantum Informatics (in English)
- Information Security of Cyber-Physical Systems
- System and Application Software
- Artificial Intelligence Methods and Cloud Computing Technologies
- Fundamentals of Modern Databases
Teaching staff
- Nikolay Egorov, Honorary Professor of St Petersburg University, Doctor of Physics and Mathematics, Head of the Department of Modelling in Electromechanical and Computer Systems. He is the author of more than 400 scientific papers. He is a recipient of the Certificate of Honour from the President of the Russian Federation for services in the field of education; as well as other state and academic awards. His research focuses on the modelling of elements of information and expert, and intellectual systems
- Galina Kurbatova, Doctor of Physics and Mathematics, Professor in the Department of Modelling in Electromechanical and Computer Systems, expert in modelling the structural elements of hydrocarbon-based transport energy systems
- Marina Bedrina, Doctor of Physics and Mathematics, Professor in the Department of Modelling in Electromechanical and Computer Systems. She is a leading expert in mathematical and computational modelling of nano- and microsystems engineering
- Gerasim Krivovichev, Doctor of Physics and Mathematics, Professor in the Department of Modelling in Electromechanical and Computer Systems. He is an expert in numerical methods for solving equations in gas dynamics, haemodynamics, and various problems in mathematical physics
Our advantages
- The programme is implemented with the participation of academic staff with high-performance publication activity. It makes it possible to involve students in solving crucial research and practical tasks
- The programme is based on the fundamental and applied achievements of Russian university education and the traditions of the applied mathematics school of St Petersburg University
- Graduates receive an education that makes it possible for them to: solve current issues of designing and managing various technical objects, technological processes, social and economic systems, and information systems; carry out practical activities and apply various mathematical methods and computer technologies; and have the ability to master and develop new technologies
Career opportunities
Practical training takes place at such organisations as: Siemens and Scientific and Technical Centre RATEC; the high-performance computing complex based at St Petersburg University; and the Department of Information and Nuclear Technologies of the Joint Institute for Nuclear Research in Dubna. They can also participate in various research projects, including the creation of the Russian core facility centre based on the new NICA accelerator complex.
Professions
- Systems analyst
- Researcher and developer of complex systems and technologies
- Specialist in information resources and systems
- Information and high technology manager
- Software architect
- IT testing engineer
- Database administrator