Course: Artifical Intelligence

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Course title Artifical Intelligence
Course code KMI/UMIN
Organizational form of instruction Lecture + Exercise
Level of course Master
Year of study not specified
Semester Winter
Number of ECTS credits 4
Language of instruction Czech
Status of course Compulsory, Compulsory-optional
Form of instruction Face-to-face
Work placements This is not an internship
Recommended optional programme components None
Lecturer(s)
  • Konečný Jan, doc. RNDr. Ph.D.
  • Bělohlávek Radim, prof. RNDr. Ph.D., DSc.
Course content
unspecified

Learning activities and teaching methods
Lecture, Demonstration
Learning outcomes
Prerequisites
unspecified

Assessment methods and criteria
Oral exam

Recommended literature
  • Ian Goodfellow and Yoshua Bengio and Aaron Courville. Deep Learning.
  • Kruse, R., Borgelt, C., Braune, C., Mostaghim, S., Steinbrecher, M. Computational Intelligence.
  • Nick Bostrom. Superintelligence.
  • Radim Belohlavek, Joseph W. Dauben, and George J. Klir. Fuzzy Logic and Mathematics.
  • Ray Kurzweil. The Age of Spiritual Machines: When Computers Exceed Human Intelligence.
  • S. Russell, P. Norvig. (2010). Artificial Intelligence: A Modern Approach (3rd Edition). Prenticel Hall: Upper Saddle River, NJ.


Study plans that include the course
Faculty Study plan (Version) Category of Branch/Specialization Recommended year of study Recommended semester
Faculty: Faculty of Science Study plan (Version): Bioinformatics (2021) Category: Informatics courses 2 Recommended year of study:2, Recommended semester: Winter
Faculty: Faculty of Science Study plan (Version): Applied Computer Science - Specialization in Software Development (2024) Category: Informatics courses 1 Recommended year of study:1, Recommended semester: Winter
Faculty: Faculty of Science Study plan (Version): Applied Mathematics (2023) Category: Mathematics courses 2 Recommended year of study:2, Recommended semester: Winter
Faculty: Faculty of Science Study plan (Version): Computer Science - Specialization in Artificial Intelligence (2020) Category: Informatics courses 1 Recommended year of study:1, Recommended semester: Winter
Faculty: Faculty of Science Study plan (Version): Applied Computer Science - Specialization in Computer Systems and Technologies (2024) Category: Informatics courses 1 Recommended year of study:1, Recommended semester: Winter
Faculty: Faculty of Science Study plan (Version): Computer Science - Specialization in General Computer Science (2020) Category: Informatics courses 1 Recommended year of study:1, Recommended semester: Winter