Complex exam topics for students starting not earlier than 2025
Students are advised to take the major and minor complex exam subjects from their respective doctoral program, however this is not mandatory. With the agreement of the supervisor and the program leader students can take other programs' complex exam subjects as well.
Data science and visualization
Major subjects:
- Data Analysis and Statistical Modelling
- Data Visualization and Geometric Modelling
- Machine Learning and Deep Learning
Minor subjects:
Applied Information Technology and its Theoretical Background
Major subjects:
Minor subjects:
Theoretical computer science, data security and cryptography
Major subjects:
Minor subjects:
- Automata and Formal Languages
- The theory and application of algebraic structures
- Cryptographic Protocols
- Unconventional Models of Computation
- Developing Computational Thinking Skills
- Privacy enhancing technologies
- Virtual, augmented and mixed reality
- Logical Systems and Applications
Theoretical foundation and applications of information technology artificial intelligence and stochastic systems
Major subjects:
- Optimization in machine learning
- Statistical modelling
- Stochastic models
- Library and Information Science
Minor subjects:
- Statistical Methods of Data Science
- Computational optimization
- Probability theory
- The philosophical, cognitive, management theory, communication and media theory, library and information science aspects of knowledge and its organization
Information Technology Systems and Networks with Industrial applications
Major subjects:
- Embedded Systems Based Cyber-Physical and IoT Systems
- Advanced IT Systems and Technologies
- Automation and robotics
- Model investigation of Systems and Processes
Minor subjects: