Computer-based environmental and economic monitoring
8.122.00.08 Computer-based environmental and economic monitoring
Qualification awarded: Master in Computer Sciences in educational programme "Computer Ecological and Economic Monitoring"
Entry year: 2023
Mode of study: full
Program duration: 1 year and 4 month
Institute: Institute of Enterprise and Advanced Technologies
Number of credits: 90 ECTS credits
Level of qualification according to the National Qualification Framework and the European Qualifications Framework: NQF Level 7 (Second cycle of QF-EHEA / EQF Level 7)
Field(s) of study: Information technology
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.
Програмні результати навчання: PR 1. Apply knowledge of fundamental and natural sciences, system analysis and technologies
modeling, standard algorithms and discrete analysis when solving design problems and
use of information systems and technologies.
PR 2. Use basic knowledge of modern information systems and technologies, skills
programming, technologies of safe work in computer networks, methods of creating databases and
Internet resources, technologies for developing algorithms and computer programs in high-level languages with
using object-oriented programming to solve design and use problems
information systems and technologies.
PR 3. Conduct a system analysis of design objects and justify the choice of structure, algorithms and
ways of creating intelligent systems.
PR 4. Have skills in the field of computer science and information technology, in particular
computer ecological and economic monitoring.
PR 5. To argue the choice of software and technical means for creating intelligent systems on
based on the analysis of their properties, purpose and technical characteristics, taking into account the requirements for the system and
operating conditions; have skills in debugging and testing software and technical tools
intelligent systems.
PR 6. Demonstrate practical programming skills and the use of applied and specialized
computer systems and environments for the purpose of their implementation in professional activities.
PR 7. Know the methods of finding solutions to the problems of artificial intelligence systems.
PR 8. Use modeling in the study and design of complex systems.
PR 9. Carry out object-oriented analysis and design.
PR 10. Demonstrate the ability to solve the tasks and accept the relevant reasonable ones
decision.
PR 11. Demonstrate the ability to apply acquired knowledge in practice.
Programme director: docent of IST department Lagun A.E.
Access to further studies: Obtaining third (educational and scientific / educational and creative) level