Study programme Intelligent systems (inteligentné systémy)

Basic information

Study programme in national registry: Intelligent systems (inteligentné systémy)
Guaranted by: Faculty of Electrical Engineering and Informatics
Study field: Computer Science
Level of degree: 3
Form of study: present
Degree: PhD.
Length of study in years: 4
Professionally oriented: No
Joint study programme: No
Languages of delivery: english language, slovak language

Graduate profile

Description
A graduate student of the study program Intelligent systems in the field of informatics in the 3rd degree (Ph.D.) builds on the knowledge of the master study program Intelligent systems in the field of Informatics and develops the field regarding new trends in Intelligent Systems. The Ph.D. student is involved in the scientific activity of the workplace in the field of neural networks and deep learning, intelligent robotics, Industry 4.0, IoT, computer vision, human-computer interaction, architectures for intelligent sensing and edge and cloud computing, and other research tasks in the field of informatics.
Learning objectives
The Ph.D. student builds on the knowledge of the master study program Intelligent systems in the field of Informatics and develops the field regarding new trends in Intelligent Systems. The Ph.D. student is involved in the scientific activity of the workplace in the field of neural networks and deep learning, intelligent robotics, Industry 4.0, IoT, computer vision, human-computer interaction, architectures for intelligent sensing and edge and cloud computing, cyber-physical systems, smart and cognitive systems and other research tasks in the field of informatics. The student also learns the methods of scientific work, gets acquainted with world professional organizations, and completes short-term scientific stays and short-term technological practice at home or abroad. A doctoral student writes a scientific paper where, after identifying a scientific problem, he focuses on scientific and engineering research in the field of intelligent systems. The student ends his studies by defending his dissertation, passing the state final exam, and receiving a Ph.D. in the Intelligent Systems study program.
Main learning outcomes
Graduated student of doctoral studies in the field of Informatics in the Intelligent Systems study program has a qualified overview of the state of research in crucial areas of artificial intelligence. In addition, he is deeply familiar with the state of his specialization's discipline, can achieve original scientific results, and apply the latest scientific results in solving problems in industry, other sciences, economy, medicine, etc. It will be used in scientific research, pedagogical work, high-tech technological applications, and in leading teams working on tasks in the field of intelligent information systems. The graduate student masters the scientific methods of research and development of some aspects of information technology systems for the collection, transmission, storage, and processing of data, information, and knowledge. Issues of design, implementation, evaluation, use, and maintenance of computer-based systems in various application domains of informatics are monitored. It includes computer resources, software, organizational and human aspects, and industrial and commercial applications. He will be equipped with a wide range of theoretical and practical mastery of scientific methods, from the creation of formal models to the formulation of hypotheses and experimentation. Theoretical knowledge of a graduate student of the Intelligent Systems study program in the third degree of study: - scientifically researches and brings own solutions to open problems of artificial intelligence and problems in the field of methods and tools for the development of systems for collecting, transmitting, storing, and processing data, information, and knowledge, - can independently acquire theoretical and practical knowledge in the field of artificial intelligence and applied informatics. Artificial intelligence represents a multifaceted and differentiated whole with diverse methodological approaches, conceptual backgrounds, and different conceptions of its goals. Therefore, concentration and thorough specialization are important for the necessary depth of study and research focus. Additional knowledge, abilities, and skills of a graduate of the Intelligent Systems study program in the third degree of study: - principles of scientific work, links research-development-production-use, - scientific formulation of the problem, - the ability to create new concepts, ability to formalize, collect relevant and latest information, - legal and environmental aspects of new methods and products, ethical and social aspects of scientific work, - presentation of research results in various forms, including publication in scientific journals and proceedings of scientific conferences. The graduate student knows how to choose specific scientific methods of basic and applied research in the field of study. He has extensive professional knowledge from several specific areas of the field of study. This serves as a basis for carrying out research and development and creating new knowledge in the field of informatics with a focus on Intelligent Systems in cooperation with experts in didactics, including the issue of teaching informatics with a focus on intelligent systems and artificial intelligence. The graduate can formulate new hypotheses and strategies for further research and development of the field of study. He applies his own findings from his theoretical analysis and his complex scientific research in solving problems in the field of informatics with a focus on intelligent systems. Demonstrates a systematic understanding of the field and has mastered the skills and methods of scientific research associated with the given field corresponding to the current state of knowledge in the field of computer science. Practically, students can choose scientific research methods and use them in searching for new knowledge, technologies, and important system connections. He can formulate research results and achieves international recognition. The graduate student can critically analyze, evaluate, and synthesize new and complex concepts. He can design, verify, and implement new research and work procedures based on his outputs and findings. The student demonstrates the ability to conceive, construct, implement and edit a substantial part of research with scientific integrity. The graduate student is characterized by independent, critical, and analytical thinking, which he applies in changing conditions. He independently finds solutions to even complex problems and independently presents the results of research and development before the scientific community and professional community in the Slovak Republic and abroad. He contributed original research to the expansion of the boundaries of scientific knowledge through the realization of an extensive set of works, some of which are worthy of peer-reviewed publication. He can coordinate a team in the relevant field.
Professions
Professions for which the graduate is prepared at the time of completion.

Employability

Evaluation of the study programme graduates employability
- 20% working abroad, 80% working in Slovakia, - 100% of workers in the field of education, - 50% software development, 25% systems architect, 25% research and development, - unemployment: 0%.
Evaluation of the study programme quality by employers
Based on submitted documents or knowledge gained during the discussion within the meeting of the Council of the Intelligent Systems study program or outside it, selected representatives of external parties/authorities from practice positively support the study program Intelligent Systems, 1st degree, full-time, and also suggest topics for improving the quality of the study program. Completed and signed statements of authorities from practice are available at the KKUI FEI TUKE workplace. Statements were provided by: - Martin Miškuf - Head of Analytics and Model Development London branch, EP Commodities, a.s. London Branch, United Kingdom - Julius Oboril - Data & Technology Transformation Service Line Leader, Client Innovation Center Slovakia, IBM Consulting - Marián Zorkovský - member of the Council of the IS study program, Siemens Healthcare s.r.o., SHS US INT MVISK Kosice, Siemens Healthineers - Strategy Project Manager - Ivana Budinská - member of the board of SAV - Section 1 for the Institute of Informatics SAV, Bratislava - Mária Virčíková - CEO and Co-Founder, Matsuko, Slovakia - Ján Gamec - Lead Software Engineer, H20.ai, USA

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. Peter Sinčák, CSc.
List of persons responsible for the profile courses: Study advisor: doc. Ing. Peter Papcun, PhD.
Student representatives: Ing. Maroš Krupáš
Study department

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

List and characteristics of the study programme classrooms
https://kkui.fei.tuke.sk/phd-studium-is/
Characteristics of the information provision
Access to study literature and information databases is provided through the TUKE University Library: http://www.lib.tuke.sk/Library/Home/DigitalLibrary Access to information technologies is ensured through the Institute of Computing Technology TUKE: https://uvt.tuke.sk/wps/portal/uv/software Rack with five servers (4x IBM: 8 cores, 8GB; 1x HPE: 10 cores, 16GB; 2x disk array 5 TB) located in room V012 on Vysokoškolská 4. Server capacities are used for teaching subjects (Applications of database systems), final theses, collection and processing of data from the models mentioned on the webpage https://kkui.fei.tuke.sk/bakalarske-studium-is/, storage and sharing of teaching materials, and promotional websites of the study program.
E-learning
Study materials are available through a software platform supporting educational activities and collaborative study in Microsoft Teams or the Moodle e-learning portal. Lectures, exercises, or consultations with students also take place via the CISCO Webex communication platform. Access to these tools is free for both TUKE employees and students. In cases where the situation does not allow the defense of final theses to be carried out in a standard way, the FEI Dean's Instruction for ensuring the availability of materials to the committee for the defense of bachelor's, engineering, and doctoral theses through audiovisual contribution is applied to FEI TUKE (PD/FEITUKE/05/20). http://www.fei.tuke.sk/sk/studium/bakalarske-studium/legislativa http://www.fei.tuke.sk/sk/studium/inzinierske-studium/legislativa http://www.fei.tuke.sk/sk/studium/doktorandske-studium/legislativa
Institution partners
U.S.Steel Košice s.r.o.: joint laboratory at TUKE, business projects, Siemens Healthcare s.r.o.: final theses consultations, the joint laboratory at TUKE, joint scientific projects, Betamont s.r.o.: joint scientific projects.

Admission procedures

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