Course: Fundamentals of Artifical Intelligence

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Course title Fundamentals of Artifical Intelligence
Course code KKY/ZUI
Organizational form of instruction Lecture + Tutorial
Level of course Master
Year of study not specified
Semester Winter
Number of ECTS credits 5
Language of instruction Czech
Status of course Compulsory
Form of instruction Face-to-face
Work placements This is not an internship
Recommended optional programme components None
Lecturer(s)
  • Radová Vlasta, Doc. Dr. Ing.
Course content
historical context of artificial intelligence (AI); artificial versus natural; philosophical and application-motivated goals of AI; symbolic paradigm of AI; emergentistic paradigm of AI; enaction principle; AI and impreciseness; interdisciplinary aspects of AI; criticism and risks of AI; future of AI

Learning activities and teaching methods
Students' self-study, Lecture, Seminar
  • Undergraduate study programme term essay (20-40) - 22 hours per semester
  • Contact hours - 52 hours per semester
  • Preparation for an examination (30-60) - 30 hours per semester
prerequisite
Knowledge
to have intermediate knowledge from the field of general philosophy
to have basic knowledge from the field of philosophy of science.
Skills
to think logically
to follow exactly (blindly) instructions
Competences
N/A
N/A
learning outcomes
Knowledge
to debate historical context of AI
to formulate philosophical and application-motivated goals of AI
to compare and to contrast symbolic and emergentistic paradigms of AI
to interpret principles of contemporary AI
to support as well as to criticise AI
to debate future perspectives of AI
Skills
to solve some tasks od AI
Competences
N/A
N/A
teaching methods
Knowledge
Lecture
Lecture with visual aids
Seminar
Self-study of literature
Skills
Practicum
Individual study
Lecture
Lecture with visual aids
Competences
Lecture
Lecture with visual aids
Lecture supplemented with a discussion
Interactive lecture
Practicum
Individual study
assessment methods
Knowledge
Oral exam
Written exam
Combined exam
Seminar work
Skills
Oral exam
Written exam
Combined exam
Seminar work
Competences
Oral exam
Written exam
Combined exam
Seminar work
Recommended literature
  • Markoš, A., Kelemen, J. Berušky, andělé a stroje. Praha, 2004.
  • Mařík, Vladimír a kol. Umělá inteligence (3). Academia, Praha, 2001.
  • Mařík, Vladimír a kol. Umělá inteligence 5. Praha, 2007.
  • Moravec, Hans. Mind children : the future of robot and human intelligence. Cambridge : Harvard University Press, 1988. ISBN 0-674-57618-7.
  • Pickering, Andrew. The cybernetic brain: sketches of another future. Chicago : University of Chicago Press, 2010. ISBN 978-0-226-66789-8.
  • Weizenbaum, J. Mýtus počítače. Praha, 2002.


Study plans that include the course
Faculty Study plan (Version) Category of Branch/Specialization Recommended year of study Recommended semester
Faculty: Faculty of Arts Study plan (Version): Theory and Philosophy of Communication (17-4) Category: Philosophy, theology 1 Recommended year of study:1, Recommended semester: Winter