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System analysis
6.124.00
System analysis
- elaborate algorithms of optimal decision making in multicriteria optimization problems;
- carry out system analysis of different types of interrelated processes, to substantiate criteria, constraints and factors while elaborating models of systems;
- solve processes forecasting problems in dynamic systems;
- create algorithms for decision making given uncertainty, risk and conflict situations;
- create mathematical models of dynamic processes in complex systems;
- identify parameters of the object mathematical model in real conditions under dynamics changes;
- develop mathematical software for linear and nonlinear processes for digital control systems;
- carry out system analysis of processes and fields with distributed parameters;
- elaborate data and knowledge bases, to design logical and physical structure of data bases, to choose data bases control systems, to choose local and global computer networks structure;
- develop software for decision support systems and expert systems, to debug and test developed software. - ability to apply professional knowledge and practical skills in mathematics, physics, system analysis, designing and decision making in different types of complex systems on the basis of system methodology;
- ability to draw summarised conclusions concerning different types of interaction of processes.
Qualification awarded
: Bachelor in system analysis
Entry year: 2016
Program duration: 4 years
Number of credits: 240 ECTS credits
Level of qualification according to the National Qualification Framework and the European Qualifications Framework: First (Bachelor) level, 7-th level of NQF, EHEA first Cycle
Field(s) of study: Information technology
Specific admission requirements: No, admission is made in general terms Entry
Specific arrangements for recognition of prior learning: Given that the previous level obtained in another country requires nostrification, which is held Lviv Polytechnic. The machinery recognition of non-formal and information education - no.
Qualification requirements and regulations, including graduation requirements: The full implementation of the curriculum and the qualification exam.
Characteristics of the educational program:
Gained competence: Gaining theoretical knowledge and practical skills, sufficient to successfully perform complex analysis, forecasting, planning and decision-making in complex systems of different nature based on systematic methodology mathematical methods and software using modern information technology, basic and applied methods of analysis and synthesis for solving problems in various fields of science, technology, finance, socio-economic and political spheres, global and local environmental issues and the economy as a whole.
- modern computer systems architecture;
models and methods of optimization, games theory, operations research and their application;
- fundamentals, principles and application of system analysis;
- fundamentals of control theory;
- fundamentals of development, architecture and protocols of modern local (LAN’s) and global computer networks (WAN’s),
methods of data transmission in communication networks;
- fundamentals of modern operating systems building and application;
- fundamentals of data bases (DB) organization, logical and physical structure of DB;
- models, methods and algorithms of decision making support under certainty, uncertainty, risk and conflict situations;
- methods of complex systems modelling;
- knowledge of random processes and computational methods;
- theory of hierarchical systems;
- fundamentals of data base and knowledge base management systems building.
- apply mathematical optimization methods to decision making tasks in complex systems;models and methods of optimization, games theory, operations research and their application;
- fundamentals, principles and application of system analysis;
- fundamentals of control theory;
- fundamentals of development, architecture and protocols of modern local (LAN’s) and global computer networks (WAN’s),
methods of data transmission in communication networks;
- fundamentals of modern operating systems building and application;
- fundamentals of data bases (DB) organization, logical and physical structure of DB;
- models, methods and algorithms of decision making support under certainty, uncertainty, risk and conflict situations;
- methods of complex systems modelling;
- knowledge of random processes and computational methods;
- theory of hierarchical systems;
- fundamentals of data base and knowledge base management systems building.
- elaborate algorithms of optimal decision making in multicriteria optimization problems;
- carry out system analysis of different types of interrelated processes, to substantiate criteria, constraints and factors while elaborating models of systems;
- solve processes forecasting problems in dynamic systems;
- create algorithms for decision making given uncertainty, risk and conflict situations;
- create mathematical models of dynamic processes in complex systems;
- identify parameters of the object mathematical model in real conditions under dynamics changes;
- develop mathematical software for linear and nonlinear processes for digital control systems;
- carry out system analysis of processes and fields with distributed parameters;
- elaborate data and knowledge bases, to design logical and physical structure of data bases, to choose data bases control systems, to choose local and global computer networks structure;
- develop software for decision support systems and expert systems, to debug and test developed software. - ability to apply professional knowledge and practical skills in mathematics, physics, system analysis, designing and decision making in different types of complex systems on the basis of system methodology;
- ability to draw summarised conclusions concerning different types of interaction of processes.
Mode of study: full
Academic mobility: Based on bilateral agreements between National University "Lviv Polytechnic" and the Technical University of Ukraine. Based on bilateral agreements between National University "Lviv Polytechnic" and schools partner countries
Work placement(s): Practical training
Programme director: Ph.D., Docent, Docent of the department of information systems and networks Veres Oleh Mykhaylovych, 0662919582, Oleh.M.Veres@lpnu.ua
Occupational profiles of graduates: Employment in the field of system sciences, analysis, design and decision making in complex different types of systems on the basis of system methodology
Access to further studies: Learning at the Masters, training programs
Other program features:
Institute: Institute of Computer Science and Information Technologies