Study programme

Basic information

Study programme in national registry:
Guaranted by: Faculty of Electrical Engineering and Informatics
Study field: Computer Science
Level of degree: 3
Form of study: external
Degree: PhD.
Length of study in years: 5
Professionally oriented: No
Joint study programme: No
Languages of delivery: english language, slovak language

Graduate profile

Description
The Artificial Intelligence study programme within the Informatics study field at the third level of higher education builds its objectives, content, and structure primarily on the knowledge and skills acquired through the engineering (second-cycle) study programmes Intelligent Systems and Business Informatics in the field of Informatics. The programme further develops the field in accordance with emerging trends in artificial intelligence, intelligent systems, and business informatics. Doctoral students in this programme conduct scientific research and educational activities in areas including neural networks and deep learning, intelligent robotics, Industry 4.0/5.0, the Internet of Things, information systems, data analytics and data science, computer vision, human–system interaction, architectures for intelligent sensing and edge/cloud computing, digital twins, smart and cognitive systems, generative artificial intelligence, biologically inspired systems, and other research topics within the field of Informatics.
Learning objectives
A PhD student builds upon the knowledge acquired in the engineering (second-cycle) study programmes Intelligent Systems and Business Informatics within the Informatics study field and further develops the field in accordance with emerging trends in the domains of artificial intelligence, intelligent systems, and business informatics. The doctoral student is involved in the scientific activities of the department in areas including neural networks and deep learning, intelligent robotics, Industry 4.0/5.0, the Internet of Things, computer vision, information systems, data analytics and data science, human–system interaction, architectures for intelligent sensing and edge/cloud computing, cyber-physical systems, smart and cognitive systems, generative artificial intelligence, and other research topics within the field of Informatics. The doctoral student also acquires research methodology skills, becomes familiar with international professional organisations, undertakes research stays as well as short-term technological internships at institutions or companies in Slovakia or abroad, and publishes the results of their research in renowned scientific journals and at international conferences. The student completes the programme by passing the state examination, including the defence of the doctoral dissertation, and is awarded the PhD degree in the Artificial Intelligence study programme.
Main learning outcomes
A graduate of the doctoral study programme in Artificial Intelligence within the Informatics study field possesses a qualified overview of the state of research in key areas of artificial intelligence, intelligent systems, and business informatics. Furthermore, the graduate has an in-depth understanding of the state of the art in their specialised research area and is capable of achieving original scientific results, ranging from the development of formal models to the formulation of hypotheses and the design of experiments. The graduate is able to apply the latest scientific findings to solving problems not only in industry but also in other scientific disciplines, economy, healthcare, and other application domains. Graduates are prepared to pursue careers in scientific research, higher education teaching, and in the design, implementation, or management of teams working on tasks related to the deployment of various intelligent information systems. They master scientific methods of research and development relevant to information systems, including the acquisition, transmission, storage, and processing of data, information, and knowledge. Theoretical knowledge of graduates of the third-cycle Artificial Intelligence study programme includes the ability to: 1. conduct scientific research and provide original solutions to open problems in artificial intelligence, as well as to problems related to methods and tools for the development of intelligent systems for the acquisition, transmission, storage, and processing of data, information, and knowledge; 2. independently acquire theoretical and practical knowledge in the fields of artificial intelligence, intelligent systems, and business informatics. Artificial intelligence represents a highly diverse and multidisciplinary field with various methodological approaches, conceptual foundations, and different perspectives on its objectives. Additional knowledge, abilities, and skills of graduates of the third-cycle Artificial Intelligence study programme include: 1. principles of scientific work and the links between research, development, production, and application; 2. scientific formulation of problems; 3. the ability to create new concepts, formalise problems, collect relevant and up-to-date information, and analyse available knowledge; 4. legal and environmental aspects of new methods and products, as well as ethical and societal aspects of scientific work; 5. presentation of research results through various forms, including publications in scientific journals and proceedings of scientific conferences. Graduates possess extensive professional knowledge in several specialised areas of the study field, which serves as a foundation for conducting research and development activities and generating new knowledge in informatics, with a focus on artificial intelligence, intelligent systems, and business informatics. This includes issues related to teaching informatics with an emphasis on intelligent systems, artificial intelligence, and data science. Graduates apply their own findings from theoretical analysis and comprehensive scientific research to solve problems in informatics with a focus on artificial intelligence. They demonstrate systematic understanding of the field and have acquired research skills and methods corresponding to the current state of knowledge in informatics. Graduates practically master selected scientific research methods and apply them in the search for new knowledge, technologies, and important system relationships. They are capable of critically analysing, evaluating, and synthesising new and complex concepts. Based on their findings and research outputs, they are able to design, validate, and implement new research and professional procedures. Graduates demonstrate the ability to conceptualise, design, conduct, and adapt a substantial part of research with scientific integrity. They are characterised by independent, critical, and analytical thinking, which they apply in changing conditions. They are able to independently identify solutions to complex problems and present research and development results to the scientific community and professional audiences in Slovakia and abroad. Through original research, graduates contribute to extending the boundaries of scientific knowledge by carrying out a substantial body of work, some of which is suitable for peer-reviewed publication. They are able to communicate their field of expertise to colleagues, the wider scientific community, and the general public. Graduates consider societal, scientific, and ethical aspects when formulating research objectives and interpreting research results. They are capable of supporting technological, societal, and cultural progress in a knowledge-based society within academic and professional contexts.
Professions
Professions for which the graduate is prepared at the time of completion.

Employability

Evaluation of the study programme graduates employability
This is a new study programme; therefore, its graduate employment rate can only be assessed based on related study programmes. One of these is the Intelligent Systems study programme. The employment outcomes of graduates of this study programme can be viewed at: https://uplatnenie.sk
Evaluation of the study programme quality by employers
Based on the submitted documents or the knowledge gained during discussions within the meetings of the proposed members of the Artificial Intelligence Study Programme Board (see the application for accreditation of the new study programme), as well as outside this framework, selected representatives of external stakeholders and industry experts positively support the Artificial Intelligence study programme at the third level of study in both full-time and part-time forms. They also provide suggestions and recommendations for further improvement of the quality of the study programme. The completed and signed statements of external stakeholders are available at the Institute of Artificial Intelligence, Faculty of Electrical Engineering and Informatics, TUKE. The statements were provided by: Ing. Martin Džbor, PhD., MBA, Head of Strategy, Deutsche Telekom IT Solutions Slovakia, s.r.o. Ing. Ján Majoroš, Head of Offensive Security Testing at Siemens Healthineers Slovakia, Siemens Healthcare s.r.o. Ing. Jana Ligušová, PhD., Managing Director, KYBERNETES s.r.o. Ing. Július Oboril, Data & Technology Transformation Service Line Leader, IBM Slovensko, s.r.o.

Structure and content of the study programme

Suggested study plan in the MIAS portal

Current academic year plan and current schedule

Current academic year plan
Current schedule: MAIS portal

Persons responsible for the study programme

Person responsible for thequality of the study programme: prof. Ing. Iveta Zolotová, CSc.
List of persons responsible for the profile courses: Study advisor: Ing. Ján Magyar, PhD.
Student representatives: Ing. Samuel Fodor
Study department

Spatial, material, and technical provision of the study programme and support

List and characteristics of the study programme classrooms
Lecture rooms: https://uui.fei.tuke.sk/sk/poslucharne Classrooms: https://uui.fei.tuke.sk/sk/ucebne Laboratories: https://uui.fei.tuke.sk/sk/odborne-laboratoria Laboratory descriptions: https://uui.fei.tuke.sk/sk/popis-odbornych-laboratorii
Characteristics of the information provision
Access to study literature and information databases is provided through the University Library of TUKE: https://www.lib.tuke.sk/#/digitalLibrary Access to information technologies is provided through the University Computing Centre of TUKE: https://uvt.tuke.sk/wps/portal/uv/software A server rack containing five servers (4× IBM: 8 cores, 8 GB RAM; 1× HPE: 10 cores, 16 GB RAM; 2× disk arrays with a capacity of 5 TB) is located in room V012 at Vysokoškolská 4. The server capacities are used for teaching activities, final thesis projects, the collection and processing of data from the models mentioned in Section (a), storage and sharing of teaching materials, and hosting promotional websites of the study programme.
E-learning
The scope of distance learning is determined by the specific situation and by measures adopted at the level of the university or faculty management that restrict the implementation of face-to-face education. Study materials are available through software platforms supporting educational activities and collaborative learning, such as Microsoft Teams, or through the Moodle e-learning platform. Lectures, practical classes, and consultations with students are also conducted via the CISCO Webex communication platform. Access to these tools is provided free of charge to both TUKE employees and students. In cases where the situation does not allow final thesis defences to be conducted in a standard manner, the Faculty of Electrical Engineering and Informatics of TUKE applies the following directives: PD/FEITUKE/05/20, PD/FEITUKE/03/24, PD/FEITUKE/04/24. https://uvt.tuke.sk/wps/portal/uv/software/microsoft-office365 https://uvt.tuke.sk/wps/portal/uv/sluzby/webex/prihlasenie-sa-do-webex http://moodle.tuke.sk/
Institution partners
- U.S. Steel Košice s.r.o.: joint laboratory at TUKE, industry-oriented projects; - Siemens Healthcare s.r.o.: consultation of final theses, joint laboratory at TUKE, joint research projects; - Betamont s.r.o.: joint research projects; - Deutsche Telekom IT Solutions Slovakia: transferable competencies – verbal and non-verbal communication (seminars), transferable competencies – time management (seminars); - IBM Košice: transferable competencies – feedback skills (seminar), transferable competencies – teamwork (seminars); - AT&T Košice: transferable competencies – presentation skills (seminars). - KYBERNETES s.r.o.: transferable competencies, consultation of final theses.

Admission procedures

Required abilities and necessary admission requirement
Admission procedures
Results of the admission process over the last period

Additional informtation

Additional informtation on department's web