PhD program
Information Systems

Information Systems

QUALIFICATION

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

MODEL OF GRADUATING STUDENT

Upon completion of this program it is expected that graduates of PhD doctoral studies will be able to:
ON1. conduct domain research, analyzing and synthesizing the latest theories in the field of modeling, design, development, implementation and maintenance of information systems;
ON2. conduct experimental studies by obtaining empirical data for comparative analysis and analogy, identifying the distinctive features;
ON3. develop algorithms, models of software products in the process of applied research, conducting a patent search, applying mathematical models;
ON4. to identify patterns, algorithms, models for effective development in theoretical studies based on modern methodologies by integrating the necessary resources from interdisciplinary areas;
ON5. plan and organize research activities in the field of information systems, carry out research projects, manage research in organizations on the basis of project, innovation, production, strategic management;
ON6. to make a scientific, engineering and technical opinion on scientific projects, scientific research in the field of IT infrastructure and information systems;
ON7. to summarize the scientific novelty, contribution to the development of the sphere of information systems by conducting the required scientific research in the field of information technology;
ON8. improve methodologies and technologies at the stage of maintenance of the life cycle of an information system;
ON9. create high-tech start-ups that contribute to the sustainable development of information systems, develop specifications for IT solutions;
ON10. conduct scientific and pedagogical activities, participate in the development of educational and methodological materials for teaching disciplines in the direction of "Information Technology";
ON11. develop a software product in the form of an information system for production purposes on the basis of research and development and the latest technological solutions;
ON12. integrate with the world scientific community by citing high-quality publications, participating in scientific conferences, publish scientific and technical reports, reviews, present scientific results, observing the scientific ethics of a research scientist, work in a team.

Program passport

Speciality Name
Information Systems
Speciality Code
8D06101
Faculty
Information technology

disciplines

Academic writing
  • Number of credits - 2
  • Type of control - [RK1+MT+RK2+Exam] (100)
  • Description - The purpose of the discipline: to help avoid typical errors that occur when creating written scientific texts, as well as when describing technical applications. Within the framework of the discipline, the following aspects are considered: structuring their ideas in writing well-formulated sentences and paragraphs in scientific research and teaching activities in the specialty information systems; using an academic writing style characterized by a clear and formal language; analyzing about previous research and assessing its significance; using the methods of academic texts; choosing a journal.

Intellectual Data Analysis in IS
  • Number of credits - 5
  • Type of control - [RK1+MT+RK2+Exam] (100)
  • Description - Purpose of the discipline: formation of data mining skills to determine methods of selection of non-trivial data and study of algorithms for solving data analysis problems. The discipline covers the following aspects: Data mining. Methods of data clustering and data mining. Decision Tree Method. Classification of support vectors by machine method Regression. Association. Anomaly detection. Number structure visualisation High-performance data processing.

Optimization methods in information systems
  • Number of credits - 5
  • Type of control - [RK1+MT+RK2+Exam] (100)
  • Description - Purpose of the discipline: Study of modern methodologies of mathematical programming, which can be used in analysing and solving problems of information processing and management in IS. The discipline covers the following aspects: Optimisation problem formulation. Problems of linear programming. Tasks of convex programming. Necessary and sufficient conditions of conditional extremum of a function. Optimisation of linear systems with function. The method of dynamic programming

PhD thesis writing and defence
  • Number of credits - 12
  • Type of control - Докторская диссертация
  • Description - The main purpose of "PhD thesis writing and defence": of a doctoral dissertation is the formation of the doctoral students' ability to disclose the content of research work for the defense of the thesis. During the study of course, doctoral student's should be competent in: 1. to substantiate the content of new scientifically grounded theoretical and experimental results that allow to solve a theoretical or applied problem or are a major achievement in the development of specific scientific directions; 2. explain the assessment of the completeness of the solutions to the tasks assigned, according to the specifics of the professional sphere of activity; 3. they can analyze alternative solutions for solving research and practical problems and assess the prospects for implementing these options; 4. apply the skills of writing scientific texts and presenting them in the form of scientific publications and presentations. 5. to plan and structure the scientific search, clearly highlight the research problem, develop a plan / program and methods for its study, formalize, in accordance with the requirements of the State Educational Establishment, the scientific and qualification work in the form of a thesis for a scientific degree Doctor of Doctor of Philosophy (PhD) on specialty «8D07502 – Standardization and certification (by industry)». During the study of the discipline doctoral student will learn following aspects: Registration of documents for presentation of the thesis for defense. Information card of the dissertation and registration-registration card (in the format Visio 2003). Extract from the minutes of the meeting of the institution, in which the preliminary defense of the thesis took place. Cover letter to the Higher Attestation Commission. Expert conclusion on the possibility of publishing the author's abstract. Expert opinion on the possibility of publishing a dissertation. Minutes of the meeting of the counting commission. Bulletin for voting. A shorthand record of the meeting of the dissertational council. List of scientific papers. Response of the official opponent. A review of the leading organization. The recall of the scientific adviser.

Scientific Research methods
  • Number of credits - 3
  • Type of control - [RK1+MT+RK2+Exam] (100)
  • Description - The purpose of mastering the discipline is to form the ability to analyze, systematize research activities and summarize the results of scientific research in the field of information technology through research methods in solving specific research tasks. Within the framework of the discipline, the following aspects are considered: to reveal the progressive essence of Science, the need for the development of society; to get acquainted with scientific theoretical provisions, laws, principles, processes, methods, technologies, tools, operations in scientific activity; to study the methods of planning and organizing scientific research; to master the methodology of scientific thought, creativity, methods of scientific knowledge.

Data for 2021-2024 years

disciplines

Application Branch of Intellectual Systems
  • Type of control - [RK1+MT+RK2+Exam] (100)
  • Description - The purpose of the discipline: to form the understanding and the ability of using of the principles and practices of application branches of intelligent systems for new area tasks. The discipline covers the following aspects: Word morphology models and methods, n-gram word prediction model, models and methods for: part-of-speech detection; meaning representation; data mining; information extraction, machine translation.

Big Data and Visual Analytics
  • Type of control - [RK1+MT+RK2+Exam] (100)
  • Description - Purpose of the discipline: studying the implementation of complex analysis and processing of big data, methods of machine and deep learning and data visualisation. The discipline covers the following aspects: working with big data, parsing web resources with crawler programs, creating data warehouses, Artificial Intelligence methods for prediction and classification of complex indicators and types of visualisation of results.

Blockchain technologies
  • Type of control - [RK1+MT+RK2+Exam] (100)
  • Description - The purpose of the discipline: digital storage of information format, excluding the possibility of falsification of data to solve a number of problems based on technology benefits blockchain that can be used in projects. Will be studied: peer-to-peer accounting log system, a module and algorithm that processes the information content of ordered interconnected data blocks as a whole using cryptographic and data protection technologies to ensure system integrity.

Data mining technologies
  • Type of control - [RK1+MT+RK2+Exam] (100)
  • Description - Purpose of the discipline: to study technologies and methods of data analysis on the example of solving problems of segmentation, classification, forecasting. The discipline covers the following aspects: Methods of data analysis. Methods of intellectual data analysis. Data preparation and interpretation of results. Technologies of multivariate data analysis. Information warehouses. Intelligent data analysis and decision support systems.

Design patterns of IS applications
  • Type of control - [RK1+MT+RK2+Exam] (100)
  • Description - Purpose of the discipline: to form the ability to formalise solutions to applied problems and processes for the development of information systems applications. The discipline covers the following aspects:Placement and activation patterns. Connection to a virtual device. Data connection patterns. Structural patterns. Patterns of form convolution. Font and image interaction patterns. List generation. Adapter. Positioning of elements. Connection to the user interface.

IT Project Management
  • Type of control - [RK1+MT+RK2+Exam] (100)
  • Description - The aim of the discipline: to form the ability to manage a project based on resource allocation, application of the necessary software to develop project management skills. The discipline covers the following aspects: concepts and principles of IT project management. Requirements to the project result. Project life cycle. Implementation process and risk management. Team communication and motivation. Project finalisations. Monitoring of benefits.

Methods of designing information systems
  • Type of control - [RK1+MT+RK2+Exam] (100)
  • Description - During the study of the discipline learn following aspects:The purpose and objectives of the discipline, its role and place in the general system of specialist training. The basic groups of concepts: system, model and modeling, design and engineering, types of computer systems (software, automated, information, databases), methodology and technology. Tasks and areas of application of IP. Clarification of the concepts "database" and "database management system".General concepts in the field of IS design.Model ANSI / SPARC. Classification of IP. File-server and client-server architectures. Multi-tiered architecture. General procedure for designing an IS. CASE-tools, models and notations.Relational data model Strict definition of the concept of "data model". Overview of data models. Components of the relational data model. Logical interpretation of the concepts of RMD. A critical review of the implementation of the RMD in the SQL standard. NULL problems.Transactions.Definition. ACID properties. Transaction log. Parallel processing problem. Levels of insulation. Locking and versioning. Dead ends. Long and short transactions. Distributed transactions.Programming server solutions.Stored procedures. Custom Functions. Triggers. Representation.Ensuring Performance Indices: B-trees, clustered and nonclustered indices. Overview of the topic of query optimization.Ensuring security.The security system is an example of a Microsoft SQL Server database. Types of authentication. Authorization. Ownership chains.Ensuring high availability. Backup and recovery. Replication. Mirroring. Clusters.Reporting technologies. Built-in tools. Components. Template technologies. Industrial means.

Methods of software devolopment for information projects
  • Type of control - [RK1+MT+RK2+Exam] (100)
  • Description - During the study of the discipline learn following aspects: The complexity of the real domain, the complexity of describing the behavior of large discrete systems, the complexity of managing a team of developers. Problems that arise when communicating with customers of software systems. The complexity of assessing the quality of software. The life cycle of software. Distribution of financial and time costs for implementation of each of the stages of software development. System inspection, communication with the customer, development planning, drafting of the technical assignment.Detailed analysis of the domain, the final decision on the need to create an information system, the design of the overall architecture of the system, the choice of design method. Cascading and iterative technologies. Criticality and scale of program projects. Extreme programming technology. SCRUM technology. Advantages and disadvantages of rapid software development technologies. Organization of team work on the project using rapid development technologies. Building an object-oriented system architecture. Methods of object-oriented analysis for identifying classes and objects. CASE-means of object-oriented design. Project management tools. The use of these tools in the development and maintenance of software products. Use of means of collective possession of a code at creation of corporate information systems. Strategies and methods of testing. Direct and reverse testing. Software tools for testing automation. Methods for evaluating software quality. Process approach to software quality assessment. Planning the process of implementing a software product. The main tasks are solved at the implementation stage. The process of eliminating errors during the implementation phase. Technical support for users during the maintenance phase.

Models and Methods of Knowledge Processing in Intelligent Systems
  • Type of control - [RK1+MT+RK2+Exam] (100)
  • Description - During the study of the discipline learn following aspects: Subject, object, method, purpose and objectives of the discipline. The place and role of artificial intelligence systems in the work of a doctoral student. Conceptual foundations of artificial intelligence. Approaches to the construction of AI systems. Application area. Tools for building expert systems. Functional structure of FIC use. Expert systems. Stages of building ES. Explanatory abilities of ES. User interaction with the ES. The basic modes of operation of expert systems. Technology development of expert systems. Planning in intelligent systems; Methods for finding solutions in ES: search in the state space, reduction, deductive inference. Knowledge engineering. Knowledge and data. Properties of knowledge and the difference of knowledge from data. Types of knowledge: declarative and procedural, extensional and intentional. Fuzzy knowledge. Extraction of knowledge. Sources of expertise, the extraction and structuring of knowledge, the stage of knowledge acquisition, automated knowledge acquisition. Representation of knowledge in intellectual systems. Models of knowledge representation in AI systems. Methods of inference: direct and reverse. Strategies for selecting rules in logical output. Semantic networks. Types of relationships in semantic networks. Abstract and specific networks. Principles of information processing in semantic networks. Frames and objects. Basic frame concepts: slots, attached procedures-servants and procedures-demons, property inheritance. Relationship between the notion of a frame and an object in OO programming. Network of frames. Principles of processing data in a network of frames. Scenarios; Knowledge bases. BZ measurement. Training in intelligent systems. Classification of teaching methods by the method of teaching: empirical and analytical, in depth of learning - symbolic (superficial) and knowledge-based (in-depth). The connection of this classification with the concepts of inductive inference, inference by analogy, learning by examples. Systems of understanding of natural language, machine translation. Difficulties in recognizing the natural language (EY). Syntactic- and semantically-oriented approaches to the recognition of EH. Semiotics and its basic concepts. Stages of the analysis of EH: morphological, syntactic, semantic, pragmatic. Models of semantics of language. Visual perception of the world: the system of computer vision, pattern recognition, visual systems of intelligent robots. Statement of the problem of pattern recognition. Statistical methods for pattern recognition and classification. Cluster analysis. Syntactic (structural) approach to the analysis of images. Allocation of features. Recognition of three-dimensional objects. Neural networks. Basic concepts of natural and artificial neural networks and neurons. Formal McCullock-Pitts neuron. Neural network as a mechanism, trained in pattern recognition or adequate response to input signals (input information). Classification of neural networks. Multilayer perceptrons. Evaluation of the state of the neural network. Reducing the functioning of the neural network to the task of minimizing the objective function. Algorithm for learning back error propagation. Application of neural networks. Neural network as associative memory. The use of neural networks for forecasting. Features of processing of symbolic and numerical information in neural networks

Models ant methods of IS managerial tasks
  • Type of control - [RK1+MT+RK2+Exam] (100)
  • Description - Purpose of the discipline: to form the ability to adapt methodologies of decision support and decision-making for effective management of technological, strategic processes. The discipline covers the following aspects: methods and models of multi-criteria analysis, genetic algorithms, analytical network analysis method, development of decision-making theory and implementation of recommendations arising from it in management practice, effective methods of decision-making.

Neural networks and their appliance in practical problems
  • Type of control - [RK1+MT+RK2+Exam] (100)
  • Description - The purpose of the discipline is to form the ability to model processes based on the principle of organization and functioning of neural networks for forecasting tasks, pattern recognition, and adaptive management tasks. The following aspects are considered within the framework of the discipline: models of artificial neurons, the basics of building neural networks, a multilayer neuron, models and methods of recurrent neural networks, the basics of using neural networks, pattern recognition and classification, machine learning.

nformation Economics and Information Systems
  • Type of control - [RK1+MT+RK2+Exam] (100)
  • Description - Purpose of the discipline: studying the aspects of economic activity of IT industry subjects and forming the ability to use the methods of information systems development management for decision-making. The following aspects are considered within the discipline: Modelling of information economy processes. Strategic planning of IT-products production. Information model of the enterprise. Models of electronic business. Profit and profitability of IT-companies in the sphere of information market. Pricing

Parallel and Distributed Database Systems and Applications
  • Type of control - [RK1+MT+RK2+Exam] (100)
  • Description - Purpose of the discipline: to master the skills of data management in modern relational database systems for data structuring, efficient distribution of information, data and resources. The discipline covers the following aspects: Parallel and distributed computing. Parallel and distributed computing design tools and technologies. Parallel database systems. Network technologies in integrated systems.

Quantum computing
  • Type of control - [RK1+MT+RK2+Exam] (100)
  • Description - Purpose of the discipline: to study the basics of quantum information theory, as well as some existing algorithms in discrete and continuous variables and studying the way of realising quantum computing. The discipline deals with the following aspects: Quantum effects. Postulates of quantum theory. Design of quantum circuits. Quantum cryptography. Advanced quantum algorithms. Machine learning in quantum information theory.

Semantics in natural languages processing
  • Type of control - [RK1+MT+RK2+Exam] (100)
  • Description - The aim of the discipline: to form the ability to manage a project based on resource allocation, application of the necessary software to develop project management skills. The discipline covers the following aspects: concepts and principles of IT project management. Requirements to the project result. Project life cycle. Implementation process and risk management. Team communication and motivation. Project finalisations. Monitoring of benefits

System and information integration
  • Type of control - [RK1+MT+RK2+Exam] (100)
  • Description - The purpose of discipline: to develop abilities in information integration, combination of data sources to solve systems development problems, integration of information in interdisciplinary areas. The discipline covers the following aspects: Interconnection of information subsystems. Objects and methods of systems integration. Integration of inter-system interaction, means of integration design. Modern technologies and tools of integration.

The organization's strategy and information security management
  • Type of control - [RK1+MT+RK2+Exam] (100)
  • Description - The purpose of the discipline: to form the ability to use methods and techniques in the field of information security systems for the effective protection of information. The discipline deals with the following aspects: the discipline covers the following aspects: Metrics and measures of information security. Developing an organisation's information security strategy. Development of a corporate cyber risk management methodology. Methods of assessing damage from cyber attacks. Auditing of an organisation's information security management system.

The use of blockchain technology in IS
  • Type of control - [RK1+MT+RK2+Exam] (100)
  • Description - The purpose of the discipline: to study distributed software systems, the principles of P2P and the tools of blockchain technology in IP in various sectors. The discipline deals with the following aspects: The principles of operation of blockchain technology and methods of application. Cryptographic foundations of the blockchain. The use of blockchain technology in mission-critical distributed information systems. Smart contracts. Blockchain technologies in intellectual property in various sectors.

Data for 2021-2024 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 2021-2024 years