Educational goals
The graduate will be able to: – based on the current state of knowledge and own research to develop and propose new methods of ICT use, – suggest, implement and evaluate informatics solutions meeting the technical possibilities, the targeted technical capacity, and deeper user needs, – use the algorism techniques, model computer architectures and software technologies, – develop system and application software, – create computing systems, – coordinate work of a broader team of technical and analytical staff, – using a systems approach to design and to create new technological and managerial instruments and procedures to reach the effectiveness of economic environment.
Profile of the graduate
The graduate at the doctoral level has knowledge of: – mathematics, theoretical computer science, computer and communication systems, algorithms and data structures, programming, analysis and processing of structured and non-structured data and principles of artificial intelligence, – mathematical models and relevant information and communication technologies, – different levels of computer systems architectures, – the formal language theory, automata and compilers, – software engineering, development of information systems, computer security, computer graphics and user interface, – techniques for designing and analysing algorithms with respect to computational complexity and practical solution of the given problems.
Information
- Study programme
- System Engineering and Informatics (P0688D140006)
- Faculty of
- EF
- Type of study
- Doctoral
- Form of study
- Full-time
- Length of study
- 4
- Awarded degree
- Ph.D.
- Language
- English
- Education area
- Economics, Informatics
Courses of Managerial Informatics programme
1. semester
- General System Theory (compulsory)
- Modern Technologies for Decision Support (optional)
- Pedagogical Activity I (compulsory)
- Pedagogical Activity II (optional)
- Quantitative Methods (compulsory optional)
- Selected Issues of Economic Theory (compulsory)
2. semester
- Methodology of Science (compulsory)
- Pedagogical Activity I (compulsory)
- Pedagogical Activity II (optional)
- Project Management of Innovations (compulsory optional)
3. semester
- Advanced Data Mining Methods (optional)
- Colloquium (compulsory)
- Econometrics (optional)
- Selected Chapters from Marketing (optional)
- Selected Issues of Information Systems (compulsory optional)
- Statistical and Mathematical Methods (compulsory)
4. semester
- Doctoral State Examination (compulsory)
- Management of Information Security (compulsory optional)
- Selected issues of innovation management (optional)
5. semester
- Ambient Intelligence (optional)
- Expert Systems (optional)
- Fuzzy Methods and Their Applications (optional)
- Geographic Information Systems (optional)
- Selected Topics of Knowledge Management (optional)
Courses without specified study plan
- Dissertation Thesis (compulsory)
- e-Government (optional)
- Internship Abroad (compulsory)
- Research Activities (compulsory optional)
Admission procedure
A completed Master degree programme is required for admittance to the PhD programme. The Faculty Dean determines entrance exam rules and conditions for enrolment to the programme by special measures in accordance with the Higher Education Act.
More about the admission process
More details
Contact: Antlová Klára, doc. Ing. Ph.D., klara.antlova@tul.cz