The Faculty of Computer Technologies and Applied Mathematics at Kuban State University is one of the leading educational centres in the Southern Federal District. It trains the best programmers and specialists in computer technology and applied mathematics in the region. It was founded in 1972 when the Department of Applied Mathematics was opened and the first 50 students were enrolled in the «Applied Mathematics» programme. In 1989, the Department of Applied Mathematics was transformed into a Faculty.
At present, education is provided in four Bachelor’s programmes, three Master’s programmes and three postgraduate programmes. There are about 1200 students, including scholarship holders of the President and Government of Russian Federation Scholarship, Administration of Krasnodar Region Scholarship, scholarships of charity funds and organisations.
Among the teachers of the Faculty there is a member of Russian Academy of Science, 14 Doctors of Science, 35 Candidates of Science.
Students of the faculty take part in various competitions, hackathons, contests and prove their high level of education with their victories. The faculty team is the winner and laureate of various stages of the regional project «Funnel of Innovative Start-ups» and was one of the best teams in the annual marathon of IT competitions «Hackathon of Universities of the Country» held by PJSC «Rosneft».
The Faculty is trying to keep up with the times by working closely with leading IT companies in the Russian Federation and Krasnodar region. Every year, new subjects are added to the training programme, as required by the dynamically developing IT sphere.
Graduates of the Faculty are in demand on the labour market. This is proven by the great interest of companies in the career events organised by the Faculty every year.
Graduates of the Faculty work in the administrations of Krasnodar region and Krasnodar city, in law enforcement bodies, universities, state and commercial banks, Gazprom, Rosneft, MTS, Megafon, Tander, Sportmaster, Rostelecom and other organisations.
«The faculty trains the best programmers in the region, specialists in the field of computer technologies and applied mathematics. Our graduates work in city and regional administration, in defence and law enforcement agencies, higher educational institutions, in different state and commercial banks, big companies in Russia and abroad.»
Dean of the Faculty of Computer Technology and Applied Mathematics — Alexandr Koloty, Candidate of Physics and Mathematics, Professor.
Bachelor’s
This programme provides the widest range of mathematical training.
Main subjects studied:
- Mathematical Analysis;
- Algebra and Analytic Geometry;
- Discrete mathematics;
- Differential equations;
- Probability Theory and Mathematical Statistics;
- Optimisation Methods;
- Numerical Methods;
- Equations of mathematical physics;
- Discrete Programming; Game Theory and Operations Research;
- Game Theory and Operations Research;
- Functional Analysis;
- Multivariate Statistical Analysis;
- Intelligent Systems Models and Methods;
- Neural Network Models;
- Programming Principles and Techniques;
- Computer Networks;
- Databases;
- Object Oriented Programming;
- WEB user interface development;
- Hardware-software means of WEB;
- Parallel and Low-Level Programming;
- Application development on RAD systems;
- Interpreted programming languages;
- Software design technologies;
- Mobile application development.
After the second year, students choose one of three profiles:
1. Mathematical and Information Support of Economic Activity (Department of Applied Mathematics).
The subjects of this profile form the students’ competencies related to the application of mathematical methods and information technologies in the economic sphere.
Profile subjects:
- Mathematical models of financial operations;
- Advanced data analysis and big data;
- New information technologies in economics;
- Modern economic and information systems;
- Time series analysis and machine learning methods;
- Parallel Computing Technologies.
2. Mathematical Modelling in Science and Technology (Department of Mathematical Modelling).
The subjects form the abilities and skills of modelling of different processes, phenomena and systems, construction and research of models, including with the help of computational and software tools.
Profile subjects:
- Modelling methods in wave mechanics;
- Mathematical modelling of natural and man-made objects and processes;
- Programming technologies;
- XML technologies;
- Mathematical ontologies for content management;
- Business modelling.
3. Programming and Computer Science (Department of Information Technology).
Mathematical and computer modelling methods are studied. The emphasis is on software development technologies.
The main areas of study are mathematical modelling methods and software development technologies:
- Fundamentals of Computer Graphics;
- Machine learning;
- Automation of software testing;
- Functional and recursive programming;
- Fundamentals of Cloud Computing;
- Linux Administration;
- Collaborative application development.
Graduates of the programme
- have excellent knowledge of several programming languages
- are familiar with the methodology of software engineering and system analysis for the construction of complex software and information systems,
- can design, develop and test complex software,
- are familiar with telecommunications technologies.
Much attention is paid to theoretical training in basic computer science, since complex information technology involves
- The development of new efficient algorithms and methods for storing, retrieving and processing information,
- Information security in information systems
- digital image and sound processing, computer graphics
- Mathematical methods for decision support, machine learning and data mining.
This is based on the fundamental subjects of mathematical analysis, linear algebra, probability theory and mathematical statistics, discrete mathematics and mathematical logic.
While studying this programme, students will
- Acquire knowledge of algorithmic methods, construction of mathematical and computer models,
- learn software and database design technologies, interaction in local and global networks, work in operational environments.
Main subjects studied:
- Mathematical analysis;
- Programming Methods;
- Fundamental discrete models;
- WEB hardware and software tools;
- System Analysis and Decision Making;
- Database Analysis, Design and Development;
- GNU/Linux system software;
- Software Engineering;
- Software development business processes;
- Neural network models;
- Microservice Architecture;
- Blockchain;
- Artificial Intelligence Systems;
- Operating Systems;
- Machine learning;
- Collaborative Application Development;
- Information Security;
- Distributed Software Systems;
- Real-time systems.
This programme provides basic knowledge in mathematics and computer science, as well as the study of applied aspects in the field of economics and programming.
Graduates work as programmers, developers and engineers, as well as analysts, economists and managers of structural departments of large companies, including public ones.
Main subjects studied:
- Modern business and information systems;
- Web programming in Python;
- Information systems design;
- Data Mining;
- Parallel Computing Technologies;
- Machine learning and data analysis;
- WEB hardware and software;
- Databases;
- Security of business information systems;
- Risk Theory and Modelling of Risk Situations;
- Special areas of data analysis;
- Development of mobile applications,
- Interpretive programming languages;
- Computer networks;
- Mathematical-physical methods;
- Optimisation methods;
- Multivariate statistical analysis.
Master’s
There are three profiles for this field of study:
1. Mathematical and informational support of economic activity.
In-depth study of modern mathematical methods and information technologies in the economic field.
Main subjects studied:
- Design and development of intellectual information systems;
- Application of machine learning and artificial intelligence methods to social and economic analysis;
- Discrete and probabilistic mathematical models;
- Modern methods of stock exchange trading;
- Mathematical and informational support of investment activities.
2. Mathematical Modelling in Science and Technology.
The programme aims to train specialists in the construction of models of processes, phenomena and systems of different classes, capable of applying the capabilities of modelling methods in the conditions of scientific research, design of software and technical systems, etc.
Profile subjects:
- Mathematical modelling in engineering and technology;
- Numerical methods in mathematical physics;
- Modelling of ecological processes and systems;
- Object-oriented models;
- Semantic database models;
- Mathematical fracture mechanics models;
- Statistical modelling of complex systems.
3. Technologies of Programming and Developing of Information and Communication Systems.
Special attention is paid to technologies of information systems development, methods of data collection from various sources and their processing.
Profile subjects:
- Cryptography and network security;
- Techniques for extracting information from network sources;
- Technologies for storing and processing large amounts of data;
- Cloud computing and virtualisation of information resources;
- Blockchain: technologies and development tools.
Graduates will be able to work in the following fields
- Education and science;
- Software development and testing;
- Creation, support and management of information and communication systems and databases,
- Management of information and telecommunication resources on the Internet;
- Creation and support of automatic control systems and information and communication systems;
- Development of automated systems of production management.
Graduates in this field will acquire skills in the development and use of artificial intelligence systems, which will enable them to become leaders in the IT industry, financial and economic structures, the banking sector, cybersecurity, etc.
Main subjects studied:
- Big data analytics;
- Ensemble machine learning methods;
- Digital systems and technologies;
- Modern interface development technologies;
- Digital technologies of economy and finance;
- Theory and practice of information transfer and protection;
- Information systems design and maintenance technologies;
- Automated systems and cognitive data analysis;
- Blockchain technology;
- Mathematical Models of Artificial Intelligence;
- 3D modelling;
- Machine learning and data analysis methods in R;
- Fuzzy and neural network artificial intelligence technologies.
Department of Computer Technologies
The Department of Computer Technologies was founded in 1993. The head of the department is Yuriy Vishnyakov, Honorary Worker of Higher Professional Education, Professor, Doctor of Technology, holder of the Medal «For Services to the Country» II degree.
The main directions of scientific research:
- natural language information processing.
- Modelling of neural networks.
- Development of WEB and mobile applications with data analysis elements.
- Algorithms for the operation of recommendation systems based on data analysis and machine learning methods.
- Internet of Things applications, self-organising aa-hoc networks.
- Bio-inspired heuristic algorithms for solving optimisation problems.
- Mathematical modelling of systems.
Teachers and students of the Department of Computer Technologies regularly take part in international and all-Russian conferences.
Department of Information Technologies
The Department of Information Technologies was established in 1992. The Head of the Department is Vadim Podkolzin, Candidate of Physics and Mathematics, Associate Professor.
The main directions of scientific researches:
- Software development technologies.
- Dynamic hypergraphs.
- Ad hoc networks.
- Methods for analysing educational activities.
Department of Mathematical Modelling
The Department of Mathematical Modelling was established in 1989. The head of the department is Vladimir Babeshko, Member of the Russian Academy of Sciences, Doctor of Physics and Mathematics, Professor, Laureate of the State Prize of Science and Technology.
Main directions of scientific work:
- Dynamical problems of deformable solid mechanics (problems of seismicity, strength and fracture);
- Mathematical modelling in the field of ecology (models of pollutant migration processes, monitoring and prediction of environmental conditions);
- The main objective of the Department is to carry out a systematic analysis of the processes and tasks of the subject areas and activities;
- The team of the Department carries out dozens of scientific projects in the framework of federal, branch and regional scientific programmes, wins grants of international (CRDF, Intas, DAAD, Soros, Fulbright) and Russian (RFBR, Ministry of Industry, Ministry of Nature, Ministry of Science and Higher Education, Russian Science Foundation and others) ranks.
Regular scientific contacts are maintained with scientists from academic research centres: UNT RAS, IPM RAS, IPZ RAS.
Since 2003 the Department of Mathematical Modelling has been the basic department of the Southern Scientific Centre of RAS.
The department trains postgraduate students for the following profiles 01.06.01 Mathematics and mechanics, profile — 1.1.8 Mechanics of deformable solids.
Department of Data Analysis and Artificial Intelligence
The Department of Data Analysis and Artificial Intelligence was established in 2021. The Head of the Department is Anna Kovalenko, Doctor of Technology, Candidate of Economics, Associate Professor.
The main directions of scientific activity:
- Artificial intelligence and machine learning;
- Statistical data analysis;
- Mathematical and computational modelling;
- Theory and practice of information protection and transmission;
- Information technologies in education.
Employees of the department are leaders and implementers of state grants in the priority directions of the Russian Science Foundation and economic agreements with enterprises of Krasnodar region, have publications in high-ranking journals (for the last two years more than 20 articles were published in Scopus and Web of Science databases, including 6 articles in Q1, more than 30 articles from the list of journals of the Higher Attestation Commission), participate in international and all-Russian conferences.
The training of postgraduate students at the Department is carried out in the following profiles
- 1.2 Computer Science and Informatics (1.2.1. Artificial Intelligence and Machine Learning) and
- 1.2 Computer Science and Informatics (1.2.2. Mathematical Modelling, Numerical Methods and Software Packages) together with the Department of Applied Mathematics.
Department of Applied Mathematics
The Department of Applied Mathematics was established in 1974. The Head of the Department is Mahamet Ali Urtenov, Professor, Doctor of Physics and Mathematics.
The main directions of scientific activity:
- Mathematical modelling and information technology in economics.
- Mathematical modelling in the field of electrochemistry with applications in nanotechnology.
- Mathematical and computational modelling of wave processes.
- Research in numerical and asymptotic analysis of boundary value problems for systems of partial differential equations, ill-posed problems, etc.
The Department trains postgraduate students in the profile 1.2. Computer Science and Informatics (1.2.2. Mathematical Modelling, Numerical Methods and Software Suite).
Department of Information Technology
- Dynamic hypergraphs, Ad-hoc networks. Alexander Mikov.
- Methods of educational data analysis. Alexey Poletaikin.
Department of Mathematical Modelling
The Department of Mathematical Modelling is developing a scientific school «Mechanics of Deformable Solids. Ecology». Its Head is academician Vladimir Babeshko, the Laureate of the State Prize of the Russian Federation in Science and Engineering, Honoured Scientist of Russia.
In the field of mechanics considerable amount of works is devoted to the problems of dynamic contact interaction, arising at the solution of applied problems of geophysics, seismology, seismic prospecting, industrial and civil engineering, machine building, acoustoelectronics, defectoscopy and others.
The peculiarity of the Department is the complex development of analytical and numerical methods for the analysis of continuum processes in solid media.
The members of the department participate in the work of the editorial boards of scientific journals, edit scientific collections, are members of dissertation committees, publish articles in leading Russian and foreign journals: Acta Mechanica, Doklady Physics, Mechanics of Solids, Journal of Applied and Computational Mechanics, Physics and Mechanics of Materials, Reports of the Academy of Sciences, Problems of Strength and Plasticity, etc.
Department of Applied Mathematics
- Mathematical Modelling and Information Technologies in Economics.
Head: E. Kalaidin — Doctor of Physics and Mathematics. - Mathematical modelling in the field of electrochemistry with applications in nanotechnology.
Head: Prof. M. Urtenov, Doctor of Physics and Mathematics. - Mathematical and computer modelling of wave processes.
Head: Professor E. Glushkov, Doctor of Physics and Mathematics. - Researches in the field of numerical and asymptotic analysis of boundary value problems for partial derivative equations systems, non-correlated problems.
Head: Prof. M. Urtenov, Doctor of Physics and Mathematics.
Department of Data Analysis and Artificial Intelligence
- Mathematical and computer modelling of electromembrane processes and systems. A. Kovalenko
- Methods of teaching information and communication technologies in higher school. S. Yunov.
- Analysis, data mining and development of artificial intelligence systems in medicine and other areas of human scientific and practical activities. A. Khalafyan.
- Mathematical modelling of information protection systems. V. Osipyan
Professor Detlef Richter from the Rhein-Main University of Applied Sciences in Wiesbaden, Germany, with his colleagues has been teaching a modular robotics course at the faculty for a number of years.
Professor Vlad Manesco from Transylvania University (Romania) gave a series of lectures on mathematical modelling methods in medicine, such as computer tomography for organ research.
On a return visit, Sergey Sinitsa, Associate Professor at the Department of Information Technology, held a series of lectures and masterclasses on blockchain technology for students at Transylvania University.
The Department’s research team cooperates with the University of Tennessee (USA), KIT Karlsruhe (Germany), University of Genoa (Italy), Uppsala University (Sweden) and others. Leading Russian and foreign scientists are actively involved in the work with undergraduate and postgraduate students.
Professor of the Department of Data Analysis and Artificial Intelligence, Doctor of Technical Sciences, Head of Department Anna Kovalenko fruitfully cooperates with the Shenzhen Institute of Advanced Technologies.
Prof. Dr. Vardan Osipyan, Department of Data Analysis and Artificial Intelligence, is a member of the Programme Committee of the International Conference on Information and Network Security (SIN) and a leader of the SIN Section (Jaimur, India).
Academician V. Babeshko, Head of the Department of Mathematical Modelling, has participated as an invited speaker in a number of scientific events on global climate change: World Congress on Climate Change and Global Warming (Osaka, Japan), World Summit on Climate Change & Global Warming (Tokyo, Japan).
Alexandr Koloty
Candidate of Physics and Mathematics, Professor.
Dean of the Faculty
Кафедра английской филологии
Кафедра новогреческой филологии
Катермина
Вероника Викторовна
д. филол. н., профессор
Зам. декана по научной работе
Кафедра немецкой филологии
Кафедра прикладной лингвистики и новых информационных технологий
Бычков
Сергей Сергеевич
к.филол.н.
Зам. декана по цифровому развитию и международным связям
Кафедра французской филологии
Кафедра английского языка в профессиональной сфере