Computer Sciences (Computational Intelligence of Smart Systems)
6.122.00.11 Computer Sciences (Computational Intelligence of Smart Systems)
Qualification awarded: Bachelor in Computer Science
Entry year: 2024
Mode of study: full
Program duration: 4 years
Institute: Institute of Computer Science and Information Technologies
Number of credits: 240 ECTS credits
Level of qualification according to the National Qualification Framework and the European Qualifications Framework: NQF Level 6 (First cycle of QF-EHEA / EQF Level 6)
Field(s) of study: Information technology
Specific admission requirements: None, enrollment is made by the general conditions of admission
Specific arrangements for recognition of prior learning: Provided that the previous level was obtained in another country, nostrification is required, which is carried out by Lviv Polytechnic.
Qualification requirements and regulations, including graduation requirements: Full implementation of the curriculum, undergraduate practice on the topic of bachelor's thesis and defense of bachelor's thesis.
Characteristics of the educational program: Educational and professional program is aimed at forming a specialist capable of solving complex problems of modeling processes and systems of various natures, forecasting, design, optimization, systems analysis and decision making, analysis and synthesis of data and knowledge, use methods of computational intelligence, develop and design of software systems and information technologies, smart systems and "smart" technologies.
Програмні результати навчання: 1. Apply knowledge of the basic forms and laws of abstract logical thinking, the basics of methodology of scientific knowledge, forms and methods of extraction, analysis, processing and synthesis of information in the subject area of computer science.
2. Use modern mathematical apparatus of continuous and discrete analysis, linear algebra, analytical geometry, in professional activities to solve problems of theoretical and applied nature in the design and implementation of information objects.
3. Use knowledge of the laws of random phenomena, their properties and operations on them, models of random processes and modern software environments to solve problems of statistical data processing and construction of predictive models.
4. Use the methods of computational intelligence, machine learning, neural network and fuzzy data processing, genetic and evolutionary programming to solve problems of recognition, prediction, classification, identification of control objects, etc.
5. Design, develop and analyze algorithms for solving computational and logical problems, evaluate the efficiency and complexity of algorithms based on the use of formal models of algorithms and computational functions.
6. Use methods of numerical differentiation and integration of functions, solution of ordinary differential and integral equations, features of numerical methods and the possibility of their adaptation to engineering problems, have skills in software implementation of numerical methods.
7. Understand the principles of modeling organizational and technical systems and operations; use methods of operations research, solving one- and multi-criteria optimization problems of linear, integer, nonlinear, stochastic programming.
8. Use the methodology of system analysis of objects, processes and systems for the tasks of analysis, forecasting, management and design of dynamic processes in macroeconomic, technical, technological and financial objects.
9. Develop software models of subject environments, choose a programming paradigm from the standpoint of convenience and quality of application for the implementation of methods and algorithms for solving problems in the field of computer science.
10. Use tools to develop client-server applications, design conceptual, logical and physical models of databases, develop and optimize queries to them, create distributed databases, repositories and storefronts, knowledge bases, including cloud services, using web languages -programming.
11. Have the skills to manage the life cycle of software, products and services of information technology in accordance with the requirements and restrictions of the customer, be able to develop project documentation (feasibility study, terms of reference, business plan, agreement, contract, contract ).
12. Apply methods and algorithms of computational intelligence and data mining in the problems of classification, forecasting, cluster analysis, search for associative rules using software tools to support multidimensional data analysis based on technologies DataMining, TextMining, WebMining.
13. Know the languages of system programming and software development methods that interact with the components of computer systems, know network technologies, computer network architectures, have practical skills in computer network administration technology and their software
14. Know the languages of system programming and software development methods that interact with the components of computer systems, know network technologies, computer network architectures, have practical skills in computer network administration technology and their software
15. Apply knowledge of methodology and CASE-tools for designing complex systems, methods of structural analysis of systems, object-oriented design methodology in the development and study of functional models of organizational-economic and production-technical systems.
16. Understand the concept of information security, the principles of secure software design, ensure the security of computer networks in conditions of incomplete and uncertain source data.
17. Perform parallel and distributed calculations, apply numerical methods and algorithms for parallel structures, parallel programming languages in the development and operation of parallel and distributed software.
18. Know the theory and methods of computational intelligence, principles of quantum computing, methods of quantum optimization and apply them to the development of smart systems and information and control systems in a particular subject area.
19. Develop smart technologies, design smart systems and modern control systems for various application areas.
20. Apply neural network technologies when creating smart systems and intelligent control systems.
Academic mobility: Based on bilateral agreements between Lviv Polytechnic National University and technical universities of Ukraine, and higher educational institutions of foreign partner countries.
Work placement(s): Design and technological practice. Practice on the topic of bachelor's thesis.
Programme director: Doctor of Technical Sciences, Head of the Department of Automated Control Systems Department, Teslyuk Vasyl Mykolayovych, tel .:(032) 258-26-47, E-mail: vasyl.m.teslyuk@lpnu.ua
Access to further studies: Obtaining the second (master's) level
Other program features: The feature of the program is the training of specialists capable of developing and implementing smart systems and "smart" control technologies in various applications, using thorough knowledge of the theory and methods of computational intelligence, neural network technologies, modeling and management of smart systems.