PV202 Service Systems LaboratoryFaculty of Informatics
- Extent and Intensity
- 0/0/2. 2 credit(s). Recommended Type of Completion: k (colloquium). Other types of completion: z (credit).
- Ing. Leonard Walletzký, Ph.D. (lecturer)
RNDr. Zdenko Staníček, Ph.D. (lecturer)
Mgr. Jitka Kitner (assistant)
Mgr. Igor Krnáč (assistant)
- Guaranteed by
- prof. RNDr. Luděk Matyska, CSc.
Department of Computer Systems and Communications - Faculty of Informatics
Supplier department: Department of Computer Systems and Communications - Faculty of Informatics
- Tue 18:00–19:50 C525
- PB114 Data Modelling I && SOUHLAS
Preconditions for this course are: (1) capability of autonomous work; (2) a brief description (approx. 10 sentences) of interest in the application for acceptance; (3) English; (4) wish to work as a member of a team; (5) 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 36 fields of study the course is directly associated with, display
- Course objectives
- Research and development in service systems from the human side of the problem.
At the end of the course students should be able:
to understand principles of building firms as service systems;
to understand oneself and to understand the basic drivers of human behavior;
to be able to design a firm as a viable system.
- Utilisation of domain understanding and modeling patterns together with project, program, portfolio management competences.
- Development and verification of service systems and their utilisation in various domains in practice.
- Special books and journal issues will be red and together discussed.
- Course is done in workshops combined with autonomous team-work. Students will present selected topics.
- Prochazka, Filip. Universal Information Robots a way to the effective utilisation of cyberspace. 2006. PhD dissertation.
- Stanicek, Zdenko: SSME* - Service Systems, Modeling, Execution, Education. Manuscript
- G. Golinelli: Viable System Approach
- Teaching methods
- reading, homework and presentations
- Assessment methods
- final report about achieved results, class presentation.
- Language of instruction
- Further Comments
- The course is taught each semester.