Course: Ambient Intelligence

» List of faculties » EF » KIN
Course title Ambient Intelligence
Course code KIN/AMI-D
Organizational form of instruction Lecture
Level of course Doctoral
Year of study not specified
Semester Winter and summer
Number of ECTS credits 10
Language of instruction Czech
Status of course unspecified
Form of instruction Face-to-face
Work placements Course does not contain work placement
Recommended optional programme components None
Lecturer(s)
  • Mikulecký Peter, prof. RNDr. CSc.
Course content
Current and modern approaches to artificial intelligence research. Intelligent agents, the concept of distributed intelligence. Multi-agent architecture. Formal models of distributed intelligence. Safety Issues

Learning activities and teaching methods
Monological explanation (lecture, presentation,briefing), Self-study (text study, reading, problematic tasks, practical tasks, experiments, research, written assignments)
  • Class attendance - 280 hours per semester
Learning outcomes
The aim of the course is to gain an overview of the current state of research in the field of intelligent systems and ambient intelligence. Students will become familiar with the theoretical basis for the research of the multi-agent architecture of intelligent environments, with ethical issues, security and protection of personal data and information, enabling them to further the expected direction of the research.
Students obtain knowledge in given course in accordance with requirements and course programme.
Prerequisites
unspecified

Assessment methods and criteria
Oral exam, Essay

Preparation and successful presentation of the project.
Recommended literature
  • AGHAJAN, H., LÓPEZ-CÓZAR DELGADO, R., AUGUSTO, J. C. Human-Centric Interfaces for Ambient Intelligence. Elsevier, 2010. ISBN 978-0-12-374708-2.
  • EBERHART, R. C., SHI, Y. Computational Intelligence: Concepts to Implementations.. Morgan Kaufmann Publ., 2007. ISBN 978-1-55860-759-0.
  • LUGER, G. F. Artificial Intelligence: Structures and Strategies for Complex Problem Solving. 6 ed.. Addison-Wesley Computing, 2009. ISBN 978-0-321-54589-3.
  • NAKASHIMA, H., AGHAJAN, H., AUGUSTO, J. C. Handbook of Ambient Intelligence and Smart Environments.. Springer, 2010. ISBN 978-0-387-93807-3.
  • NILSSON, N. J. Artificial Intelligence: A New Synthesis.. Morgan Kaufmann Publ., 1998. ISBN 978-1-55860-467-4.
  • POOLE, D. L., MACKWORTH, A. K. Artificial Intelligence: Foundations of Computational Agents.. Cambridge University Press, 2010. ISBN 978-0-521-51900-7.
  • RUSSELL, S., NORVIG, P. Artificial Intelligence: A Modern Approach, 3rd Ed.. Prentice Hall, 2010. ISBN 978-0-13-604259-4.
  • SCHALKOFF, R. J. Intelligent Systems: Principles, Paradigms, and Pragmatics.. Jones and Bartlett Publishers, 2011. ISBN 978-0-7637-8017-3.


Study plans that include the course
Faculty Study plan (Version) Category of Branch/Specialization Recommended year of study Recommended semester