Course name

MODERN PROBLEMS OF INFORMATICS AND COMPUTER ENGENEERING

Lecturer

Assciate Professor Helen Radionova
The faculty of Phisics and Mechanics
Faculty department: Applied Mathematics

Contents

• mathematical problems of information science;
• programming languages, methods and technologies of development;
• computer networks and telecommunications development;
• artificial intelligence systems;
• tendencie and prospect of informatics and computer engineering development

Teaching methods

Letures - 68 hours, practical training - 34 hours

Course name

HISTORY AND METHODOLOGY OF INFORMATION SCIENCE AND COMPUTER ENGENEERING

Lecturer

Professor Galina Malihina
The Faculty of Engineering Cybernetics
Faculty department: System Analisis and Control

Contents

• mathematical logic and theory of algorithm;
• cybernetics and computer science;
• computer mathematics; numerical methods and analytical calculations;
• programming languages and technology development;
• computer graphics and multimedia systems.

Teaching methods

Letures - 34 hours, practical training - 34 hours

Course name

COMPUTER TECHNOLOGIES IN SCIENCE AND EDUCATION

Lecturer

Associate professor Vyacheslav Potekhin
The Institute of International Educational Programmes
Faculty department: Distributed Intelligent Systems

Contents

• Information technologies in scientific research;
• local and global computer networks;
• computer graphics in scientific researches;
• distance education, technologies and tools.

Teaching methods

Letures - 34 hours, practical training - 34 hours

Course name

PROGRAMMING TECHNOLOGIES

Lecturer

Assciate Professor Alesander Chernosvitov
Microsoft Certified Technical Education Center, CTEC

Contents

• In this course new ways of building both Windows-based applications and Web applications are taught.
• New approaches reside on fundamentals that are covered: Principles of Windows operating system.
• Message handling mechanisms.
• Structure of standard Windows application based on API elements, such a: functions, macro extensions, messages, interfaces.

Teaching methods

Letures - 34 hours, practical training - 17 hours

Course name

MODELLING OF SYSTEMS

Lecturer

Associate professor Yriy Senichenkov
The Faculty of Engineering Cybernetics
Faculty department: Distributed Processing and Computer Networks

Contents

• Mathematical modelling is the basis of inestigaton and designing of complex dynamical real-world systems.
• Mathematical modeling now seems impossible inconceivable without computers.
• Usaged computers for modeling and simulation of complex systems has changed traditional designing technologies.
• These changes are of fundamental importance.
• Therefore, it is possible to say that mathematical modelling is only a part of computer modelling.
• The computer modelling in partly is the basis for computer designing technologies.

Teaching methods

Letures - 34 hours, practical training - 17 hours

Course name

NEUROINFORMATICS AND NEUROTECHNOLOGIES

Lecturer

Professor Vyacheslav Shkodyrev
The Institute of International Educational Programmes
Faculty department: Distributed Intelligent Systems

Contents

• Neuroinformatics basics are architectures and algorithms.
• Mathematical backgrounds of NN: learning via optimisation problem.
• Perseptron and threshold logic classification.
• Multilayer feedforward Networks.
• Laboratory Training where a set of exercises for each chapter will be held.
• The use of LabVIEW Graphical Programming System for real experimenations and solving modelling problems.

Teaching methods

Letures - 51 hours, practical training - 51 hours

Course name

INTELLIGENT SYSTEMS AND KNOWLEDGE ENGENEERING

Lecturer

Professor DSc Tatiana Gavrilova
The Institute of International Educational Programmes
Faculty department: Distributed Intelligent Systems

Contents

• Artificial intelligence (AI) as a basis of new information technology.
  Neurocybernetics: brief synopsis of evolution.
• Knowledge and data.
• Classification of knowledge and models of knowledge.
• Knowledge representation models: production, frames and semantic networks.
• Expert system: definition, structure and classification.
• Life cycle of expert system, technology of rapid prototyping.
  Knowledge engeneering.
• Developers team for expert system building.
• Strategies of knowledge acquisition.
• Theoretical aspects of knowledge elication: psychological, linguistical, gnoseological.

Teaching methods

Letures - 34 hours, practical training - 34 hours

Course name

DISTRIBUTED ARTIFICIAL INTELLIGENCE SYSTEMS

Lecturer

Associate professor Lev Stankevich
The Faculty of Engineering Cybernetics
Faculty department: System Analysis and Control

Contents

• Introduction to Distributed Artificial Intelligence (DAI), Multi-Agent Systems (MAS).
• Simple and intelligent agents.
• Intelligent agents: examples, agent and objects.
• Methods and models for DAI Cognitive primitive, BDI logics, Coordination, Communication, Social primitives, Tools and systems. Example of MAS Deveopment Kit.
• Distributed problem solving and planning Task sharing, Result sharing, Distributed planning, Distributed planning and execution, Exercises.
• Distributed models for desicion support: Decision support systems (DSS), Agents for DSS, Example of DSS for Oil Transportation Complex.
• Distributed control systems Agent controller and MAS of controllers, Behavioral agents, Cognitive control agents and systems, Examples of MAS for Game and Robot Applications.
• Perespective of MAS Electronic commerce.

Teaching methods

Letures - 34 hours, practical training - 68 hours

Course name

OPERATING SYSTEMS CONCEPT

Lecturer

Associate professor Vyacheslav Potekhin
The Institute of International Educational Programmes
Faculty department: Distributed Intelligent Systems

Contents

• Concurrent processes, synchronisation, process sheduling.
• Memory managment, virtual memory, protection issues.
• Deadlock.
• Network managment, load balancing, fault tolerance.
• Laboratory works include: system calls for process managment and interprocess communication in Linux, interprocess communication in distributed systems.

Teaching methods

Letures - 34 hours, practical training - 34 hours

Course name

SPEECH TECHNOLOGIES

Lecturer

Professor Galina Malihina
The Faculty of Engineering Cybernetics
Faculty department: System Analisis and Control

Contents

Series of methods for speech wave coding examined (PCM). They are:

• pilse-code modulation(PCM))
• difference- (DPCM)
• adaptiv difference-code modulation (ADPCM)
• delta-modulation
• adaptive delta-modulation.

Theoretical part of course is devoted to studying the methods of speech analysis and syntesis, linear prediction, vector signal and dash slicing (or vector quantization), entrop - coding, the methods of analysis by syntesis, basic standarts CELP, SELP and their application in commuication systems. Some lectures are devoted to short time spectral anlysis, filters of decimation and interpolation, banks of filters and signal compression standards of MPEG group, security for speech communication: frequency inversion, tonal masking, scrambling of speech elements, ciphering. Laborotary works are devoted to impletation of these techniques in the package MATLAB: adaptive delta-modulation, sigma-delta modulation, speech homomorphic processing, linear prediction, vector signal - slicing, time-frequency scrambling.

Teaching methods

Letures - 34 hours

Course name

INTELLIGENT COMPUTING

Lecturer

Professor Vyacheslav Shkodyrev
The Institute of International Educational Programmes
Faculty department: Distributed Intelligent Systems

Contents

Introduction Ill-formalizing tasks and artificial intelligence, Uncertainty of knowledge, Knowledge of learning
Artificial neural network paradigm, Learning, self-learning and self-organization in computational environment;
Computational Learning Theory. Principle of computational learning, Mathematical theory of machine learning, Concept learning and learning from observation, Probabilistic learning, Decision tree learning, Bayesion learning, Instance-based learning, Reinforcement learning, Evaluation learning and genetic algorithm;
Planning and acting in real world. Hierarchical task network planning, Planning and acting in non-deterministic domain, Conditional planning, Perception and conclusions, Semantic interpretation, Execution monitoring and re-planning; Automated Reasoning; Evolutionary Search and Optimisation;
Distributed intelligence and cognitive environment Comunication, perceivingand acting in multy-agency environment Comunication, Communication as acting, Cognitive agents and cognitive action, Multi agent planning
Application of intelligent computing
Application in science experiment, Application in industry, Application in information society, computational linguistic; Knowledge Acquisition and Representation

Teaching methods

Letures - 34 hours, practical training - 17 hours

Course name

DISTRIBUTED DATABASES

Lecturer

Professor Galina Malihina
The Faculty of Engineering Cybernetics
Faculty department: System Analisis and Control

Contents

Introduction ta database. Relational and post relational databases. Databases for local area network and for wide area network, the client-server and distributed databases types. Warehouses, OLAP systems. Data mining and knowledge discovery problems.
Data modeling, entity-relationship diagrams and relational data model. Relations, attributes, tuples, schemas. Operations of relation algebra.
Simple quarries, multiplication and union in SQL, attribute specification, quarries intersection and substraction, sub-quarries implementation. Aggregation, grouping in SQL, tables modification, updating insertion and indexes creation.
PL/SQL language. Sheared variables, cursors. Problems of parallelism. Active database elements: triggers and restrictions.
The applications of database design. SQL and java language integration by means of SQLJ and JDBC.
Building multidimensional information system MOLAP, ROLAP architectures. OLAP server, commercial OLAP and decision support tools. Data mining models. Data classification, retrieval for associative technology, trade, telecommunications, industry, medicine.

Teaching methods

Letures - 34 hours, practical training - 17 hours

Course name

IMAGE PROCESSING

Lecturer

Professor Galina Malihina
The Faculty of Engineering Cybernetics
Faculty department: System Analisis and Control

Contents

1. Image types and images coding
2. Spatial technique for the image improvement
3. Finite impulse. Response Filters
4. Image transforms
5. Images improvement
6. Color processing
7. Multi-scale image analyzes
8. Morphological Operations
9. Feature axtraction for the task of image recognition
10. Image segmentation

Teaching methods

Letures - 34 hours

Course name

INFORMATION SECURITY

Lecturer

Associate professor Natalia Bogach
The Faculty of Engineering Cybernetics
Faculty department: System Analisis and Control

Contents

The subject of "Information Security" concerns the general aspects of the information security theory and principles of safe information exchange within and between local area neworks (LAN).
The reality of modern information technologies reveals the importance of protected and reliable internetworking. Beginning with an overview of vulnerabilities, threats and attacks to the computer systems, as well as the development and maintenance of security systems we continue with security standards, cryptography basics and protocols. After this theoretical background it gets down to routing and firewall technology for the safe network extension and integrating to global network. We assume information risk management and business continuity support as well.

Teaching methods

Letures - 17 hours