Magistracy
Speciality Code:
7M06102
Speciality Name:
Information Systems
Faculty:
Information technology
Qualification:
- Scientific and pedagogical direction - Master of Engineering Sciences
- Model of graduating student
- Mandatory disciplines
- Elective disciplines
- Professional
1. to formulate information systems projects descriptions with use of domain terminology;
2. to select and use the most appropriate technologies for design and development of IT solutions, management of IT resources on the basis of analysis of organizational information needs;
3. to support IS project management principles in the organization;
4. to use mathematical methods for modeling of business processes of an organization and formation of information systems functioning algorithms;
5. to analyze influence of IS on the industry and organization for the purpose of planning of actions for maximizing advantages of design, delivery and use of IS;
6. to design and develop the IS applications and IS modules functioning algorithms on the basis of domain analysis;
7. to analyze business processes of the organization and to project / reorganize enterprise architecture on the basis of the analysis;
8. to plan and implement procedures and technologies for managing risk and trust, security and safety for ensuring business continuity;
9. to design infrastructure and architecture of IS on the basis of the analysis of enterprise architecture;
10. to make own original contribution to development of the sphere of information systems by carrying out scientific research in the field of design and development of information systems; to prepare publication, scientific and technical reports, responses on the basis of results of the executed researches;
11. to conduct scientific and pedagogical activity, to participate in development of educational and methodical materials for teaching disciplines in the Information Technologies direction;
12. to form the solutions of problems based on researches in the field of information systems by integration of knowledge of new or cross-disciplinary areas and taking into account social, ethical, linguistic and scientific reasons.
2. to select and use the most appropriate technologies for design and development of IT solutions, management of IT resources on the basis of analysis of organizational information needs;
3. to support IS project management principles in the organization;
4. to use mathematical methods for modeling of business processes of an organization and formation of information systems functioning algorithms;
5. to analyze influence of IS on the industry and organization for the purpose of planning of actions for maximizing advantages of design, delivery and use of IS;
6. to design and develop the IS applications and IS modules functioning algorithms on the basis of domain analysis;
7. to analyze business processes of the organization and to project / reorganize enterprise architecture on the basis of the analysis;
8. to plan and implement procedures and technologies for managing risk and trust, security and safety for ensuring business continuity;
9. to design infrastructure and architecture of IS on the basis of the analysis of enterprise architecture;
10. to make own original contribution to development of the sphere of information systems by carrying out scientific research in the field of design and development of information systems; to prepare publication, scientific and technical reports, responses on the basis of results of the executed researches;
11. to conduct scientific and pedagogical activity, to participate in development of educational and methodical materials for teaching disciplines in the Information Technologies direction;
12. to form the solutions of problems based on researches in the field of information systems by integration of knowledge of new or cross-disciplinary areas and taking into account social, ethical, linguistic and scientific reasons.
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Strategic Information Systems Management
- Number of credits: 5
- Type of control: [RK1+MT+RK2+Exam] (100)
- Description: The purpose of the discipline is the formation of the ability to use the methods of managing the development of information systems for making decisions aimed at achieving the business goals of enterprises and creating new competitive advantages. Will be studied: Strategic use of information resources. Models of strategic analysis of information systems. Study of models of strategic analysis of IS. The strategic triangle of information systems. The impact of IS on organizational structure and processes. The role of IS in the definition and formation of competition. Study of achievements and trends in the field of information technology. Management of strategic information systems. Strategic IT audit. Financing and evaluating the effectiveness of investments and operations in the field of information technology. The acquisition of resources and capabilities of information technology. Acquisition of infrastructure capabilities. Information Systems Services. The acquisition of information systems. Using the IT management framework. Management of risks. Business Continuity Management. Security and privacy management.
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Project and Change Management
- Number of credits: 5
- Type of control: [RK1+MT+RK2+Exam] (100)
- Description: The purpose of the discipline is the formation of the ability to manage the quality, risks and changes of the IT project to create systems aimed at achieving the strategic objectives of the organization. Will be studied: Project life cycle. Stakeholders of the project. The organizational structure of the project. Standards and methods for managing IT projects. Feasibility study for the project. Relationship management standards and methods. Risk assessment methods. Management of risks. Standards and methods of risk management. Change Management Tools. Process of change. Incentives and barriers to change. Change Management Indicators. Diagnosis and conceptualization of changes. Project budgeting. Documenting an IT project. Features of the management of scientific projects.
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Psychology of management
- Number of credits: 3
- Type of control: [RK1+MT+RK2+Exam] (100)
- Description: Formation of knowledge about the fundamental concepts of management psychology for the practical application of the most critical aspects of management in professional interaction. Basic principles of management psychology, personality in management interactions, management of personality behavior, modern ideas, psychology of managing group phenomena, motivation, and practical reflection.
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Business intelligence systems
- Number of credits: 5
- Type of control: [RK1+MT+RK2+Exam] (100)
- Description: The purpose of discipline: the formation of the ability to work with data processing tools to identify hidden relationships between them. Will be studied: The concept of business intelligence systems. The architectural stack of business intelligence, the main functions of business intelligence. Business intelligence assessment criteria and actual definitions, architecture and components of business intelligence in the market. Researching data mining algorithms. Components and structure of business reporting systems. Data visualization, chart types and dashboards. Business Intelligence Life Cycle. Business intelligence tools. Advanced / evolving business intelligence technologies, the future of business intelligence.
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Organization and planning of scientific researches (English)
- Number of credits: 5
- Type of control: [RK1+MT+RK2+Exam] (100)
- Description: The purpose of the discipline is the formation of the ability to plan and conduct research, experiment and the collection of evidence. Will be studied: Scientific research and its stages. Theoretical and experimental methods of scientific research. The principles of scientific research. Analysis of theoretical and experimental studies and formulation of conclusions. Scientific information: search, collection and processing. Sources of scientific information. Patent research. Technical and intellectual creativity and its legal protection. Innovation Act. Stages of scientific research. Technologies for the development of documentation for the implementation of research work. Standards and requirements for scientific research documentation.
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Analysis, modeling and design of IS
- Number of credits: 5
- Type of control: [RK1+MT+RK2+Exam] (100)
- Description: The purpose of the discipline is the formation of the ability to apply the methods and technologies of analysis, modeling and design of information systems. Will be studied: The main provisions of the theory of systems. System analysis and systems approach. Technologies for designing information systems. Processes and life cycle models of information systems. Modeling data flow. The main methodology for the design of information systems. Computer-aided design of information systems based on CASE technology. Composition and classification of CASE-tools. Technology for the implementation of CASE-tools. Design based on the unified modeling language UML. Documenting the design process.
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Foreign Language (professional)
- Number of credits: 5
- Type of control: [RK1+MT+RK2+Exam] (100)
- Description: The purpose is to acquire and improve competencies by international standards of foreign language education and to communicate in an intercultural, professional, and scientific environment. A master's student must integrate new information, understand the organization of languages, interact in society, and defend his point of view.
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Pedagogy of Higher Education
- Number of credits: 5
- Type of control: [RK1+MT+RK2+Exam] (100)
- Description: Purpose: To provide pedagogical theories and practical strategies for effective teaching in higher education, fostering critical thinking, and academic success. The course explores instructional methods, curriculum design, assessment techniques, and classroom management strategies preparing educators to create inclusive and stimulating learning environments.
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History and Philosophy of Science
- Number of credits: 3
- Type of control: [RK1+MT+RK2+Exam] (100)
- Description: Purpose: Understanding of modern philosophy as a system of scientific knowledge, including worldview in rational-theoretical comprehension. The discipline includes aspects of the evolution and development of scientific thinking, historical moments, the contribution of scientists and scientific schools to the formation of science, and ethical and social aspects of scientific activity.
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Organization and Planning of Scientific Research (in English)
- Number of credits: 5
- Type of control: [RK1+MT+RK2+Exam] (100)
- Description: The purpose of the discipline is to train masters in conducting scientific research, carrying out scientific and methodological work, socializing young students and their participation in the corporate governance system of Organization of higher and postgraduate education (OHPE). Undergraduates learn to interact with OHPE stakeholders, participate in research projects.
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Artificial intelligence methods in IS
- Type of control: [RK1+MT+RK2+Exam] (100)
- Description: The purpose of the discipline: the formation of the ability to design knowledge-based systems, the use of methods and means of representing and processing knowledge in artificial intelligence systems. The following aspects are considered within the discipline: The concept of artificial intelligence and intellectual information system. History of AI development and application in software development. Models for presenting data and knowledge. AI methods. Expert systems and their structure. Fuzzy logical models of knowledge representation. Artificial neural networks. Hybrid neural networks. Bayesian Networks. Promising AI methodologies. Research in Artificial Intelligence Methods.
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Data Warehouse design and analysis techniques
- Type of control: [RK1+MT+RK2+Exam] (100)
- Description: The purpose of the discipline: the formation of the ability to design and analyze data warehouses using the studied methods for the effective organization of storage and access to data. Will be studied: Data architectures. Data warehouse and OLAP technology for data mining: data warehouse, multidimensional data model, data warehouse architecture. Relational and hybrid data warehouses. Practices and methodologies for designing data warehouses. Analysis and transformation of the source data. The problem of data integration. Concepts, processes and methods of data integration. Converting, aggregating and clearing data. Research on data warehouse analysis methods. Virtual data warehouses. The development of data cube technology, from data warehousing to data mining. Calculation of a data cube and generalization of data: effective methods for calculating a data cube.
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Architecture of information systems
- Type of control: [RK1+MT+RK2+Exam] (100)
- Description: The purpose of the discipline is the formation of the ability to formally describe the organization's business processes and create the architecture of information systems. Will be studied: Fundamentals of business analysis and methods of system analysis. The principles of forming the business processes of the organization. Analysis and modeling of business processes of the organization. Study of enterprise architecture models. Analysis of existing IS architecture. Technical processes for determining IS requirements. The concept of IS architecture. Methods and models for creating architecture. Classification of architectures. Architectural patterns, styles, frames. The process of architectural design. Components of architecture. Feasibility study of architecture. Standards, industry laws in the field of design and development of IS, information security. Reliability assessment of architecture components. Development of requirements for IS architecture. The architectural approach of enterprises. Models for ensuring the performance of architecture components. Load balancing. Protocols for the interaction of architecture components. Choose technology for implementing architecture. The process of developing architecture. Documenting the architecture development process. Regulatory documentation of IS. Research of successful IS architecture design practices.
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Administration of corporate networks
- Type of control: [RK1+MT+RK2+Exam] (100)
- Description: The purpose of the discipline is to develop the ability to develop corporate-level networks and manage their safe work. As part of the discipline will be studied: The structure and architecture of corporate networks. Hierarchical network design. Technologies for creating corporate networks. Requirements for network equipment. Placement of network equipment. Diagnostics of network equipment status. Administration, error and change management. Network Services. The principles of network security. Enterprise Network Security Management. Automation of system tasks. Organization of data. Data integrity. Application services. Network Administration. Network performance analysis. Planning for upgrading a corporate network. Analysis of domestic and foreign developments to ensure the security of the corporate network.
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Information Technologies Audit
- Type of control: [RK1+MT+RK2+Exam] (100)
- Description: In the course of studying the discipline, undergraduates will master the methods and tools for conducting and organizing a comprehensive audit of the company's processes, including the technical capabilities of IP. Master the ICT quality policy. International and domestic standards for information security. Regulatory legal acts for the basis of audits. IT technology trends. ICT Risk Management. Generating an audit report
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Infrastructure of information systems
- Type of control: [RK1+MT+RK2+Exam] (100)
- Description: The purpose of the discipline is the formation of the ability to design and develop the infrastructure of information systems in accordance with information needs and a business development strategy. Will be studied: IS infrastructure of the enterprise: concept, objectives, impact on business, process approach. The process of developing an IS infrastructure: choosing a hardware and software platform, evaluating performance, designing a network, choosing system, application software, DBMS, choosing / creating corporate applications, protecting corporate information, creating an integrated management system, planning stages and methods for introducing new technologies. Enterprise infrastructure management concepts. ITIL library. Incident and problem management processes. CobiT standard. Enterprise IS infrastructure management systems: MOF (Microsoft), ITSM (HP). IS strategy of an enterprise: concept, connection with a business strategy. IS maintenance: tasks, time and cost of IS downtime, maintenance errors, optimization of IS resources, solving integration problems, documentation, optimization of server hardware and software configurations, status monitoring, personalized maintenance, centralized maintenance scheme, remote monitoring and diagnostics, recovery health. Outsourcing Corporate or industry standards: for workplaces, data storage, e-mail, document exchange, internal technical support (HelpDesk). Documentation of infrastructure.
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Human-machine interaction
- Type of control: [RK1+MT+RK2+Exam] (100)
- Description: The purpose of the discipline is the formation of the ability to use the design and development technologies of the user interface. Will be studied: User Interface Models. Criteria for an effective interface. User Interface Styles. User Interface Design Rules. Standards and principles of interface design. The concept of ease of use. Study of the target audience. Study of domestic and foreign user interface design experience. UI development steps. Functional environment and software compatibility. Attributes of the quality of human-machine interaction. Visual design. Testing the interface. Documenting the user interface creation process.
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Enterprise models of IS
- Type of control: [RK1+MT+RK2+Exam] (100)
- Description: The purpose of the discipline is the formation of the ability to use information systems for the effective management of enterprise resources. Will be studied: A strategic view of processes: concepts of effectiveness and efficiency. Integration of functional areas of the organization. Correlation of processes with financial, client and product-oriented company goals. Automation of business processes. Investigation of the impact of automation on work practices. Architecture of corporate information systems. Cluster systems. Electronic document management systems. Corporate mail services. Integration of information systems. Using activity diagrams and business process modeling (BPMN) notations. Business process modeling tools. Achieving security and process compliance. Supply Chain Management (SCM). Customer Relationship Management (CRM). Enterprise Management Systems (ERP). Process continuity: from structured to unstructured processes. The study of methods and practices for the design, integration and implementation of corporate-level information systems.
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Models and methods of support of making decision IS
- Type of control: [RK1+MT+RK2+Exam] (100)
- Description: The purpose of the discipline: the formation of the ability to analyze, design and implement decision support systems in various fields of activity. Will be studied: Models and decision theory. Formal statement of the decision making problem. Stages of decision making. Analysis of the process of making business decisions. Decision-making modeling for a variety of purposes. Decision-making modeling in conditions of risk and uncertainty. Methodological difficulties of using a computer to support decision making. Decision support systems: opportunities, basic elements, examples of use. Decision support systems applications. Design, development and implementation of decision support systems.
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Models and methods of neural networks
- Type of control: [RK1+MT+RK2+Exam] (100)
- Description: The purpose of the discipline is the formation of the ability to apply neural network models in solving complex data processing problems. Will be studied: Models of neural networks. Cluster data analysis on the output parameters of a neural network. Computational processes of a neural network. Models and methods of data extraction. Named object recognition. Models and methods for recognizing relationships. Models and methods for determining time and events. Models and methods of information retrieval. The structure and parts of the system of answers to questions. Models and methods of generalization. Creation and training of neural networks. The method of deep learning neural network. Modern tools with the implementation of neural network technology. The architecture of neural networks. Algorithms of neural networks. Ready-made libraries for data processing. Practical implementation of systems with neural networks.
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Machine Learning
- Type of control: [RK1+MT+RK2+Exam] (100)
- Description: The purpose of the discipline: the formation of the ability to use algorithms and tools of machine learning for data analysis. Will be studied: Key concepts of machine learning. Types of learning. Machine Learning Algorithms. Processing and preparation of data for machine learning. Classification and clustering of data. Building a machine learning model. Methods for assessing the quality of machine learning models. Systems with implemented machine learning technology. Programming languages for data analysis and data processing.
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Organization and analysis of big data
- Type of control: [RK1+MT+RK2+Exam] (100)
- Description: The purpose of mastering the discipline is to develop among graduate students the ability to organize and analyze big data to reveal hidden knowledge. The following aspects are considered within the framework of the discipline: acquaintance of undergraduates with modern achievements in the field of methods of analysis of large data arrays. Hadoop system and its components (HDFS file system, HBASE DBMS, Pig data stream description language, Hive query building tool, MapReduce calculation model) and Apache Spark distributed computing system.
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Organization and analysis of data in social networks
- Type of control: [RK1+MT+RK2+Exam] (100)
- Description: The purpose of the discipline: the formation of graduate students the ability to work with data analysis tools in social networks to compile user profiles. The following aspects are considered within the discipline: Introduction to network analysis. Types of social networks. Collection of data from social networks. Basic metrics and network settings. Text analysis. Work with text data. Collection of data from open sources. Preprocessing text data. Text analysis. Processing structured, weakly structured, and unstructured big data. Introduction to machine learning. Sklearn module. Classification problems and linear models. Using Word2vector models. Tasks of data mining based on information from social networks. The solution of clustering problems. Measures of distance. Overview of clustering algorithms. Neural network modeling and deep learning. Identification of anomalies from social data.
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Web search technologies and sytems
- Type of control: [RK1+MT+RK2+Exam] (100)
- Description: The purpose of the discipline is to build the ability to analyze and evaluate the capabilities of various web search technologies and use data extraction models to design a web search system. Will be studied: Introduction to information retrieval. General Purpose Search Engine Architecture. Web search technologies: web robots, markup technologies, link analysis technologies, user profile analysis technologies. Indexing and extracting text files by words. Research data extraction models. Database structure. Measuring the relevance of text for a query. Text coding: tokenization, lemmatization, noise words, phrases. Vector space search model. Counting documents. Cosine measure. Introduction to data clustering. Introduction to text classification. Naive Bayes models. Email Filtering. The structure of the web graph. The laws of Zipf and Pareto. Invisible and specialized web search engines. Extract multimedia. Design web search systems.
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Enterprise Resource Planning systems
- Type of control: [RK1+MT+RK2+Exam] (100)
- Description: The purpose of discipline: the formation of the ability to work with enterprise resource planning systems to improve the organization's business processes and obtain competitive advantages. Will be studied: Concepts of enterprise resource planning systems. Integration of information systems. Overview of enterprise business requirements. The evolution of ERP. ERP and related technologies. Implementation of ERP-systems: problems and successful practices. ERP model of integrated management information. Integrated data model. The role of ERP in gaining competitive advantage. Business Process Reengineering. ERP Modules A study of methods for predicting the benefits of implementing ERP systems. The study of methods and technologies for the integration of information systems.
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Technologies for developing information and analytical systems in IS
- Type of control: [RK1+MT+RK2+Exam] (100)
- Description: The purpose of the discipline: the formation of graduate skills that allow the development and implementation of information and analytical systems and systems. The following aspects are considered within the framework of the discipline: basic concepts of information-analytical and intelligent systems. The concept of information space, its structure and elements. Technologies for the collection, storage and operational analysis of data. The concept of information storage. Information storage as a platform of analytical tools and artificial intelligence systems. Signs of OLAP systems. Development of data mining technology. The purpose and composition of the tasks performed by the data mining subsystem of the information-analytical system. Development of tools for implementing the methods of intellectual analysis and integration of the corresponding subsystem of IAS. Development of artificial intelligence systems. Use, management, design and development of information-analytical and intelligent systems. The essence of management and development of information-analytical and intelligent systems.
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Information systems security management
- Type of control: [RK1+MT+RK2+Exam] (100)
- Description: The purpose of the discipline is the formation of the ability to work with systems security management technologies to ensure business continuity. During the study of the discipline learn following aspects: Tasks of information security of the organization. Domestic and international standards, regulatory documents to ensure the information security of the organization. Analysis of business processes from the perspective of information security. Concepts and models of information security. Technical means of ensuring information security. Models of information security policies. Documentation of information security procedures. Access Control and Identity Management. Authentication, Authorization and Accounting (AAA). Security policies. Confidentiality policies (BLP model) . Integrity policies. Security policies. Hybrid policies. NIST Models, Design of Security Architecture, Planning for Continuity Tracing flow charts. Data Defenses Secure design principles.
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Information systems data management
- Type of control: [RK1+MT+RK2+Exam] (100)
- Description: The purpose of the discipline: the formation of graduate students the ability to manage IS data to support decision making and the effective organization of data exchange between applications. Will be studied: Tasks and criteria-based selection methods. Optimization task. Decision making in conditions of complete, statistical and vague uncertainty. Preferences in multicriteria problems under uncertainty: a multidimensional case. Multiplicative, additive, utility functions. Scalar product, Euclidean spaces. Block matrices. Optimization methods based on a consistent analysis of options. Dynamic programming. Game management methods. General approaches to optimal discrete control problems. Design task of perfect correction. Correction task in the presence of estimation and control errors. Methods of managing information flows in communication networks. Management quality indicators and a general methodology for determining these indicators. Research methods for data management systems. Analysis of control systems by linearization of parameters. The main approaches to the development of intelligent data management systems. The main directions of intellectualization of the data management process.
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Pedagogical
- Type of control: Защита практики
- Description: Aim оf discipline: formation of the ability to carry out educational activities in universities, to design the educational process and conduct certain types of training sessions using innovative educational technologies.
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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.