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: 2
Form of study: present
Degree: Ing.
Length of study in years: 2
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 2nd degree (master degree) will acquire the ability to specify, design, implement and maintain large-scale software applications using various programming languages ​​and integrated development environment. At the same time, he will understand the field of artificial intelligence to integrate and apply the knowledge of applied informatics and artificial intelligence. The graduate student can work effectively as an individual, like a member and a leader of a development team.
Learning objectives
A graduate student of the study program Intelligent systems in the field of informatics in the 2nd degree (master degree) will acquire the ability to specify, design, implement and maintain large-scale software applications using various programming languages and integrated development environments. At the same time, he will get deeper information from the field of artificial intelligence to integrate the knowledge of applied informatics and artificial intelligence. The graduate student can work effectively as an individual, like a member and a leader of a development team. He will gain knowledge and an overview of applied informatics and artificial intelligence tasks in the concept of Industry 4.0 and robotics. He will be able to orient himself in areas such as image and text processing, advanced internet of things-services-people-data-processes, simulation systems, embedded systems, big data, mobile and cloud computing, human-robot interaction, and many others.
Main learning outcomes
In the field of artificial intelligence, the graduate student will be provided with information about symbolic and computational intelligence and individual specific parts of artificial intelligence, such as neural networks or evolutionary systems, which can be creatively applied in solving domain problems. At the same time, it can handle work with big data and work with advanced middleware systems. During the study, the student will be confronted with programming-oriented subjects to be well-prepared in applied informatics, which is constantly developing dynamically. At the same time, the student will be guided to support engineering creativity in the individual application domains of Industry 4.0 and robotics. The graduate student possesses knowledge in the field of study at the level of assessment and extensive professional and methodological knowledge in selected areas of specialization. He understands the essential connections, principles, and theories of the field. The graduate student can analyze and creatively solve complex IT problems. He can specify, design, optimize, implement and maintain complex solutions based on information and communication technologies, intelligent systems, and artificial intelligence. He can identify critical components of complex systems and propose suitable solutions for them. He can critically analyze and apply the concepts, principles, and practices in the context of defined problems. He can integrate knowledge, manage complexity and formulate decisions even with incomplete or limited information, including social and ethical responsibility in applying their knowledge and making decisions. The graduate student can demonstrate a high degree of independence in solving problems and projects in the field of study in a changing environment. The graduate student demonstrates the ability to work effectively as an individual, member, or team leader. He has innovative thinking and is ready to professionally present the results of his own analysis and study in front of a professional audience, even in a foreign language. He knows how to clearly and unambiguously communicate conclusions, findings, and justifications to experts, but also to lay addressees. He understands the field's moral, social, legal, and economic context. He can follow the ethical principles of his profession. He has developed skills to learn independently, which allows him to continue further self-study.
Professions
Professions for which the graduate is prepared at the time of completion.

Employability

Evaluation of the study programme graduates employability
Application of graduates students of the study program according to the project "Application, following the footsteps of graduates", which is implemented by the Ministry of Labour, Social Affairs and Family of the Slovak Republic in cooperation with the company Trexima (update 30.6.2020): For 2018: - 63% employed, 11% self-employed person, 5% working on an agreement, 11% continuing their studies, 11% others (working abroad or voluntarily unemployed) - 75% work in the Košice region, 25% work in the Bratislava region, - 83% worked in a graduated field of education, - Top 3 industries: 83% information and communication, 8% industrial production, 8% wholesale and retail, - Top 3 jobs: 33% system administrators, 17% software developers, 17% application programmers - unemployment rate: 0%, - It took an average of 57 days for employed graduates to find their first permanent job. For 2019: - 75% employed, 4% self-employed person, 17% continuing their studies, 4% unemployed - 35% work in the Košice region, 65% work in the Bratislava region, - 83% worked in a graduated field of education, - Top 3 industries: 53% wholesale and retail, 29% information and communication, 12% industrial production, - Top 3 jobs: 59% software developers, 18% system administrators, 6% assembly workers of electrical and electronic equipment, - unemployment rate: 4%, - On average, employed graduates took 0 days to find their first permanent job.
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, 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: Bc. Barbora Kubalcová
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/inzinierske-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
The following partners participate in the provision of educational activities in the study program Intelligent systems for the engineering degree: - U.S.Steel Košice s.r.o.: invited lectures on selected subjects, the joint laboratory at TUKE, business projects, - Siemens Healthcare s.r.o.: final theses consultations, the joint laboratory at TUKE, joint scientific projects, - BSH Drives and Pumps s.r.o.: invited lectures on selected subjects, consultation of final theses, - Betamont s.r.o.: joint scientific projects, - Microsoft Slovakia s.r.o.: invited lectures on selected subjects, joint projects, - IBM Slovensko s.r.o.: invited lectures on selected subjects and joint projects.

Admission procedures

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