PhD program
Systems Engineering

Systems Engineering

QUALIFICATION

  • Scientific and pedagogical direction - Doctor of Philosophy (PhD)

MODEL OF GRADUATING STUDENT

ON1 Outline the basic principles of design and management of large-scale engineering systems throughout the life cycle, demonstrate an interdisciplinary understanding of the concepts of systems;
ON2 Use tools from a variety of areas, including management systems, operations research, reliability and performance, risk analysis, software development, and networking and security when planning research and computing experiments;
ON3 Conduct a critical analysis, evaluation and selection of elements of system engineering, methods and standards, architecture, computer tools that support system engineering, with a view to their further application in the development of large-scale engineering systems;
ON4 Solve the problem of risk assessment, costing, management of engineering programs;
ON5 Consider and integrate all possible aspects of a project or system, such as requirements development, reliability, logistics, coordination of different groups, testing and evaluation, maintainability;
ON6 Apply various methods of modeling engineering systems, as well as methods of numerical and computer solutions used in industrial and engineering environments;
ON7 To critically analyze, evaluate and synthesize new complex ideas that are at the very forefront of science in professional activity;
ON8 To generate new and complex goals, to propose new hypotheses and solutions of scientific problems in the field of system engineering based on an independent original approach;
ON9 Plan and carry out educational and training activities in higher education organizations using traditional, innovative, interactive, student-centered technologies and teaching methods;
ON10 To build a research process on the topic of the thesis, to present scientific results in a reasoned and reasonable manner for discussion in scientific discussions and publications in national and international peer-reviewed publications;
ON11 To present the results of educational and research activities in the form of scientific reports, theses of articles, doctoral dissertations, educational research and scientific projects;
ON12 To be ready for correct and tolerant interaction in society, for teamwork, for social interaction and cooperation for solving scientific and technical problems.

Program passport

Speciality Name
Systems Engineering
Speciality Code
8D06105
Faculty
Information technology

disciplines

Academic writing
  • Number of credits - 2
  • Type of control - [RK1+MT+RK2+Exam] (100)
  • Description - The purpose of the discipline: mastering academic writing at the PhD level. Main topics: writing texts on systems engineering, articles in English for international journals, and doctoral dissertations. The result is the development of a precise and clear writing style.

Large-scale high performance computing systems
  • Number of credits - 5
  • Type of control - [RK1+MT+RK2+Exam] (100)
  • Description - The purpose of the discipline: to teach doctoral students to develop and implement parallel algorithms for high-performance computing systems. Mastering OpenMP, CUDA, MPI and PGAS technologies. The focus will be on the scalability of algorithms and optimization of calculations. The course covers HPC architecture, parallel programming and resource efficiency.

Object-oriented paradigm
  • Number of credits - 5
  • Type of control - [RK1+MT+RK2+Exam] (100)
  • Description - The purpose of the discipline: training doctoral students in object-oriented design for solving large-scale problems. Mastering UML, encapsulation, polymorphism and inheritance. Developing skills in window and web application development, code reuse, and unit testing. The course includes GUI design and code documentation.

Scientific Research methods
  • Number of credits - 3
  • Type of control - [RK1+MT+RK2+Exam] (100)
  • Description - The purpose of the discipline: mastering research methodology in IT. Doctoral students will study experimental design, statistics, analysis, and presentation of scientific papers. Course assignments develop skills in selecting sources, developing algorithms, and presenting research projects.

Data for 2023-2026 years

disciplines

Applied software development
  • Type of control - [RK1+MT+RK2+Exam] (100)
  • Description - The purpose of the discipline: training doctoral students to develop real applications in group projects with external clients. Students will learn to design object-oriented programs, use development tools, create mobile and cloud applications, and implement graphical interfaces. Includes agile software development, testing and maintenance.

Computer Modeling
  • Type of control - [RK1+MT+RK2+Exam] (100)
  • Description - The purpose of the discipline: training doctoral students in methods of modeling engineering systems and numerical solutions. Mastering the numerical modeling of differential equations, predicting the behavior of models, developing innovative solutions and creating system reports. Statistical methods, discrete and continuous modeling, process analysis, and decision making through simulation are studied.

Computer Systems Reliability and Fault Tolerance
  • Type of control - [RK1+MT+RK2+Exam] (100)
  • Description - The purpose of the discipline: training in the use of methods for assessing the reliability of elements and systems in computer systems. Doctoral students will learn to describe and implement algorithms to improve reliability, analyze their correctness and computational complexity. The course includes the study of quantitative reliability indicators, the Bayesian approach, reliability calculations and cost optimization of redundant facilities.

Database systems design technologies
  • Type of control - [RK1+MT+RK2+Exam] (100)
  • Description - Purpose of the discipline: development of databases, including sensor networks and information management on the Internet. Doctoral students will learn to design databases, analyze scientific articles, and implement the research process. Relational database systems, design theory, programming and data modeling are studied.

Management of IT infrastructure and services
  • Type of control - [RK1+MT+RK2+Exam] (100)
  • Description - The purpose of the discipline: mastering the creation of IT infrastructure management systems using modern technologies. Doctoral students will learn to analyze scientific articles, plan research and select technologies for managing IT services. Cloud computing, service design and improvement are studied.

Programming in computer systems
  • Type of control - [RK1+MT+RK2+Exam] (100)
  • Description - The purpose of the discipline: the use of computer technology and system software in science and technology. Doctoral students will learn to develop, debug and test software, and analyze algorithms. The course covers programming fundamentals, memory management, threads, exceptions, and inter-process communication.

Data for 2023-2026 years

INTERNSHIPS

Pedagogical
  • Type of control - Защита практики
  • Description - Formation of practical, educational-methodical skills of conducting lectures, seminars, creatively apply scientific, theoretical knowledge, practical skills in teaching activities, conduct training sessions in the disciplines of the specialty; own modern professional techniques, methods of training, use in practice the latest theoretical, methodological advances, make educational, methodological documentation.

Research
  • Type of control - Защита практики
  • Description - The purpose of the practice: gaining experience in the study of an actual scientific problem, expand the professional knowledge gained in the learning process, and developing practical skills for conducting independent scientific work. The practice is aimed at developing the skills of research, analysis and application of economic knowledge.

Data for 2023-2026 years