PV202 Knowledge and Information Robots Laboratory

Faculty of Informatics
Spring 2010
Extent and Intensity
0/0/2. 2 credit(s). Recommended Type of Completion: k (colloquium). Other types of completion: z (credit).
Teacher(s)
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
Timetable
Tue 18:00–19:50 B411
Prerequisites
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 40 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. At the end of the course students should be able:
to understand principles of construction of service systems based on universal modeling;
to practise obtained knowledge by implementation of selected parts of a service system;
to be able to find and analyse new domains of service systems of a type of knowledge and information robot utilisation.
Syllabus
  • Utilisation of higher-order concepts and objects, 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 teams work on long-lasting (several semesters) projects. Projects 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.
Literature
  • Prochazka, Filip. Universal Information Robots a way to the effective utilisation of cyberspace. 2006. PhD dissertation.
  • HŘEBÍČEK, Jiří, Filip PROCHÁZKA, Zdenko STANÍČEK and Jana SOUKOPOVÁ. Using Universal Information Robot as Decision Support System of Public Projects Evaluation. In 6th International Symposium on Environmental Software Systems (ISESS'05). První. Lisbon: IFIP, 2005. p. 16. ISBN 3-901882-2. info
Teaching methods
group projects, homeworks,
Assessment methods
final technical report about achieved results, class presentation.
Language of instruction
Czech
Further Comments
Study Materials
The course is taught each semester.
Teacher's information
http://kirlab.fi.muni.cz/en:homepage
The course is also listed under the following terms Spring 2007, Autumn 2007, Spring 2008, Autumn 2008, Spring 2009, Autumn 2009, Autumn 2010, Spring 2011, Autumn 2011, Spring 2012, Autumn 2012, Spring 2013, Spring 2015, Spring 2016, Autumn 2016, Spring 2017, Autumn 2017, Spring 2018, Autumn 2018, Spring 2019, Autumn 2019, Spring 2020, Autumn 2020, Spring 2021, Autumn 2021, Spring 2022.
  • Enrolment Statistics (Spring 2010, recent)
  • Permalink: https://is.muni.cz/course/fi/spring2010/PV202