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Informatics Systems
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Summary of the Profile
General Description: Objective(s) of a study programme: The aim of the programme (all specialisations) is to train IT specialists capable of developing innovative IT solutions in various fields of activity, managing artificial intelligence systems, analysing data and turning it into business insights. The aim of the specialisation of Artificial Intelligence Systems is to develop competences in data and systems analysis, artificial intelligence, and the application of machine and deep learning techniques in a wide range of fields, including image analysis, cyberspace analysis, automated text generation, finance and insurance, medicine, transport planning. The aim of the specialisation of Software Systems is to develop competences in the design, development and testing of multi-purpose software systems, as well as to teach how to develop innovative solutions for cloud computing, mobile applications, information systems, the Internet of Things and more. The aim of the specialisation of Business Informatics is to develop the skills to plan and implement digital transformation activities, to use IT tools for managing business processes, and to apply smart solutions for expanding business opportunities. The aim of the specialisation of Teaching of Information Technologies is to prepare students for IT teaching activities, to develop the ability not only to develop and implement IT solutions, but also to communicate this knowledge to a student audience. Learning outcomes: Students completing this program will be able to:
• Apply fundamental and advanced informatics knowledge to a wide range of IT tasks. • Explain and apply basic data analysis, modelling and management methods to develop innovative IT solutions. • Apply knowledge of software lifecycle and its management in the design and support of software systems. • Conduct interdisciplinary applied research in computer science by collecting and analysing data, argumenting the solutions and formulating conclusions. • Analyze and critically evaluate latest trends in computer science, apply this knowledge in designing IT innovations. • Demonstrate understanding of the importance of in-depth computer science knowledge in designing IT applications in different activity areas. • Formalize and specify real-environment related problems, describe them in abstract way, employ formal reasoning. • Apply artificial intelligence, machine learning and deep learning methods. (specialisation Artificial Intelligence Systems). • Apply IT tools for business process management and tailor smart solutions to expand business opportunities (specialisation Business Informatics). • Develop and implement cloud computing, mobile application, information system, Internet of Things and other innovative software solutions according to functional and non-functional requirements (specialisation Software Systems). • Carry out information technology training activities, teach the use and development of IT solutions (specialization of Teaching of Information Technologies). • Describe and clearly and convincingly present the IT problems being solved and the proposed solutions to experts and non-IT specialists, using adequate presentation tools, media and methods. • Work in and lead multi-disciplinary teams in the development of multi-purpose IT products. • Demonstrate knowledge of economic, legal, social, ethnic and environmental context in digital transformation projects. • Plan self-directed learning, based on individual needs and continuous professional development. Activities of teaching and learning: Lectures, seminars, laboratory work, independent study, team projects, reading assignments, problem-solving exercises, preparation for laboratory sessions, mid-term exams, and final examinations. Methods of assessment of learning achievements: Knowledge and skills are assessed using a ten-point cumulative grading system. Knowledge and skills are assessed using a ten-point cumulative grading system. Learning outcomes are evaluated throughout the semester via mid-term examinations, laboratory work, individual and group projects, as well as via a final exam. The final grade is calculated as the sum of the weighted grades for each component. Framework: Study subjects (modules), practical training: The program totals 188 credits, encompassing both the internship and the final thesis. Core subjects include Programming Fundamentals, Object-Oriented Programming, Computer Architecture andOperating Systems, C# and Data Structures, Algorithm Analysis, Databases and Information Systems, Graphics and Visualization, Java Object-Oriented Programming Applications, Computer Networks, Human Computer Interaction, Internet technologies, Artificial Intelligence Application, Software Engineering, Internet of Things Systems, Language Technologies, Information Modelling,
Deep Learning System Applicetions, Software Testing and Analysis, Distributed IT Project Management, Dynamical System Modelling, Enterprise IT Management, Digital Transformation and Financial Technologies. The program also includes a 10-week internship, equivalent to 15 credits. The aim of the internship is to apply in practice the knowledge of analysis, design and development of information systems and computer-aided processes, acquired during the studies. Specialisations: The programme has four specializations: · Artificial Intelligence Systems · Business Informatics · Software Systems · Teaching of Information Technologies Optional courses: • Deepening your knowledge in the field of study by choosing specialized subjects such as Mobile and Wireless Technologies, Data Coding and Compression, E-commerce, Cryptographic Data Security, Information Systems Security. • Choosing from various minor studies offered by the University. • Freely selecting university subjects from Groups A and B. Distinctive features of a study programme: A certificate of completion of minor studies can be obtained. All specialisations in the programme focus cover artificial intelligence and data analytics topics. Liberal studies principles allow students to shape their own study profile through specialisations and electives Access to professional activity or further study: Access to professional activity: Graduates of the Informatics Systems study programme work as software analysts, IT project managers, IT system architects, programmers, testers, system administrators, artificial intelligence specialists, artificial intelligence engineers, data engineers, data analysts, IT process optimisation engineers (MLOps, AIOps, DataOps, DevOps) in a wide range of organisations, state institutions and business structures, and are also able to set up information technology businesses, manage company IT departments, and pursue further studies at Master degree level. Access to further study: Master studie
