PV202 Knowledge and Information Robots LaboratoryFaculty of Informatics
- Extent and Intensity
- 0/0/2. 2 credit(s). Recommended Type of Completion: k (colloquium). Other types of completion: z (credit).
- RNDr. Zdenko Staníček, Ph.D. (lecturer)
Mgr. Filip Procházka, Ph.D. (seminar tutor)
- Guaranteed by
- prof. RNDr. Václav Matyáš, M.Sc., Ph.D.
Department of Computer Systems and Communications - Faculty of Informatics
- Tue 16:00–17:50 B410
- PB114 Data Modelling I && SOUHLAS
Preconditions for this course are: (1) capability of autonomous work; (2) long-lasting interest of the course topic expressed by completion at least one of the couple PB114 and PA116 and at least one of the couple PV098 and PV055; (3) a brief description (approx. 10 sentences) of interest in the application for acceptance; (4) English; (5) wish to work as a member of a team; (6) acceptance of the application by the Head of the Laboratory (Zdenko Staníček).
- Course Enrolment Limitations
- The course is also offered to the students of the fields other than those the course is directly associated with.
The capacity limit for the course is 20 student(s).
Current registration and enrolment status: enrolled: 0/20, only registered: 0/20, only registered with preference (fields directly associated with the programme): 0/20
- fields of study / plans the course is directly associated with
- there are 37 fields of study the course is directly associated with, display
- Course objectives
- Research and development in the virtual knowledge network area and in effective and efficient cyber-space utilisation.
- Utilisation of higher-order concepts and objevte, universality principles, self-reference principle, MENTION-USE principle, Diamond of focus, synapse-oriented approach and the HIT data model.
- Development and verification of knowledge and information robots principles and their utilisation in various domains of science, research and praktice.
- Students team works on long-lasting (several semesters) projects. Project are organized into synergic project portfolio.
- Course is done in workshops combined with autonomous team-work in laboratory. Students will refer on selected research topics and their connections.
- Language of instruction
- Further Comments
- The course is taught each semester.