Computer Science Computer Science
Qualification awarded: Bachelor of Computer Science
Entry year: 2022
Mode of study: full
Program duration: 4 years
Institute: Separated Structural Subdivision Educational and Research Institute of Business and Innovative Technologies of Lviv Polytechnic National University
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 arrangements for recognition of prior learning: Provided that the previous level is obtained in another country, a nostrification, which is carried out by Lviv Polytechnic, is required. There are no mechanisms for recognition of non-formal and informal education.
Qualification requirements and regulations, including graduation requirements: Full implementation of the curriculum, passing pre-diploma practice on the topic of bachelor's qualification work and protection of bachelor's qualification work.
Characteristics of the educational program: The program is based on the well-known scientific results with regard to the present state of information technologies; emphasis on willingness to work and acquire skills, knowledge of computer science and information technology, mathematical and computer modeling of the processes and systems of various nature, problems of prediction, design, optimization, system analysis and decision making, analysis and synthesis of data and knowledge, etc. Research line is professionally oriented, expert line is practically oriented.
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. To use the 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, solving ordinary differential and integral equations, features of numerical methods and the possibility of their adaptation to engineering problems, have the skills of software implementation of numerical methods. 7. Understand the principles of modeling of organizational and technical systems and operations; use methods of operations research, solving single- and multicriteria 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 for developing 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 programming languages. 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 methods of program development 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. To know the languages ??of system programming and methods of program development that interact with the components of computer systems, to know network technologies, computer network architectures, to 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.
Work placement(s): Practices educational and on the theme of bachelor qualification work.
Programme director: docent Mashevska M.V.
Occupational profiles of graduates: Graduates can work in the areas of modeling, designing, developing, testing information systems as data analysts, software architects, server and client applications, Web developers, software locators, as well as specialists in the field of artificial intelligence, data analysis, Internet of Things , integration of knowledge, understanding from various engineering branches.
Access to further studies: Obtaining the second (master's) level