University of Pardubice
Study programmes & Course catalogue
for academic year 2025/2026
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Course: Artificial and Computational Intelligence I

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Course title Artificial and Computational Intelligence I
Course code USII/CUVI1
Organizational form of instruction Lecture
Level of course Bachelor
Year of study 3
Semester Summer
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)
  • Hájek Petr, prof. Ing. Ph.D.
Course content
unspecified

Learning activities and teaching methods
Monologic (reading, lecture, briefing), Dialogic (discussion, interview, brainstorming), Laboratory work
  • Contact teaching - 14 hours per semester
  • Individual project - 40 hours per semester
  • Preparation for an exam - 30 hours per semester
  • Home preparation for classes - 66 hours per semester
Learning outcomes


Prerequisites
unspecified

Assessment methods and criteria
Written examination, Home assignment evaluation, Discussion

Assignment: completion and successful defence of tasks and two projects with a success rate of at least 60 %. The examination is written with a success rate of at least 60 %.
Recommended literature
  • KŘIVAN, M. Úvod do umělých neuronových sítí. Praha: Oeconomica, 2014. ISBN 9788024520247.
  • MAŘÍK, V., ŠTĚPÁNKOVÁ, O., LAŽANSKÝ J. Umělá inteligence 2. Praha: Academia, 1997. ISBN 978-80-200-0504-5.
  • NEGNEVITSKY, M. Artificial intelligence: A guide to intelligent systems. Harlow: Pearson Education, 2011. ISBN 9781408225745.
  • OLEJ, V., HÁJEK, P. Úvod do umělé inteligence: klasická umělá inteligence - distanční opora. Pardubice: Univerzita Pardubice, 2009. ISBN 978-80-7395-241-9.
  • OLEJ, V., PETR, P. Expertní a znalostní systémy v managementu. Část Expertní systémy ? distanční opora. Pardubice: Univerzita Pardubice, 2004. ISBN 80-7194-688-5.
  • Olej, Vladimír. Úvod do umělé inteligence : moderní přístupy : distanční opora. Pardubice: Univerzita Pardubice, 2010. ISBN 978-80-7395-307-2.
  • RUSSELL, S., STUART, N. Artificial intelligence: A modern approach. Harlow: Pearson Education, 2014. ISBN 9780136042594.


Study plans that include the course
Faculty Study plan (Version) Category of Branch/Specialization Recommended year of study Recommended semester
University of Pardubice, date of update: 16.03.2026 23:51. Data created for academic year 2025/2026