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Artificial Intelligence Systems
8.122.04
Artificial Intelligence Systems
- development and implementation of intelligent technologies and systems in different subject areas;
- development and application of pattern recognition and classification systems in various industry areas;
- introduction of methods of data mining and knowledge in various subject areas;
- database design and data warehouse systems for intelligent decision-making systems;
- creation of Internet-applications and distributed intelligent information systems;
- development of expert systems with natural-language interfaces. - ability to use professional and specialized knowledge and practical skills to optimize systems of artifical intelligence design of any complexity;
- ability to use professional and specialized knowledge and practical skills to solve specific problems of intelligent systems of artifical intelligence design of different physical nature objects management;
- ability to assess existing technologies, to form the requirements for the advanced information technologies development on the basis of analysis.
Qualification awarded
: Master in Computer Sciences and Information Technologies in specialty Artificial Intelligence Systems
Entry year: 2017
Program duration: 1,5 years
Number of credits: 90 credits ECTS
Level of qualification according to the National Qualification Framework and the European Qualifications Framework: Second (Master) level, 8-th level of NQF, EHEA second Cycle
Field(s) of study: Information technology
Specific admission requirements: Entrance examinations in specialty and foreign language.
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 defense of Master's Thesis.
Characteristics of the educational program:
Gained competence: Gaining profound theoretical and practical knowledge and skills in the field of artificial intelligence systems which will enable the students effectively fulfill innovative tasks on the corresponding level of professional activity focused on the research and solution of complex problems concerning information systems development and engineering in order to meet the needs of science, business and enterprises in various branches.
- the methods and tools of data and knowledge engineering;
- the methods and technology for databases and data warehouses design and usage;
- the modeling, analysis and synthesis of artificial intelligence;
- the methods of the mathematical models of artificial intelligence construction;
- the principles of development of mathematical models, methods, computer technologies and intelligent decision support systems in research;
- the methodology of machine learning and distance learning systems;
- the cloud computing technologies;
- ontology description languages and ontological engineering;
- the principles of operation and features of modern computer systems, information and computer networks.
- study and solution of complex problems of design and development of artificial intelligence systems to meet the needs of science, business and companies in various industries; - the methods and technology for databases and data warehouses design and usage;
- the modeling, analysis and synthesis of artificial intelligence;
- the methods of the mathematical models of artificial intelligence construction;
- the principles of development of mathematical models, methods, computer technologies and intelligent decision support systems in research;
- the methodology of machine learning and distance learning systems;
- the cloud computing technologies;
- ontology description languages and ontological engineering;
- the principles of operation and features of modern computer systems, information and computer networks.
- development and implementation of intelligent technologies and systems in different subject areas;
- development and application of pattern recognition and classification systems in various industry areas;
- introduction of methods of data mining and knowledge in various subject areas;
- database design and data warehouse systems for intelligent decision-making systems;
- creation of Internet-applications and distributed intelligent information systems;
- development of expert systems with natural-language interfaces. - ability to use professional and specialized knowledge and practical skills to optimize systems of artifical intelligence design of any complexity;
- ability to use professional and specialized knowledge and practical skills to solve specific problems of intelligent systems of artifical intelligence design of different physical nature objects management;
- ability to assess existing technologies, to form the requirements for the advanced information technologies development on the basis of analysis.
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): Master’s Thesis Related Research Practice
Programme director: Doctor of Technical Sciences, Head of the Department of Artificial Intelligence Systems, Shakhovska Natalia Bogdanivna, natalya233@gmail.com
Occupational profiles of graduates: Work in information technology, communication and IT project management: IT-companies, finance companies, insurance companies, government agencies, consulting.
Access to further studies: further training programs for all Ph.D. field of expertise 12 "Information Technology"
Other program features:
Institute: Institute of Computer Science and Information Technologies