Course: Selected Lessons in Computer Science

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Course title Selected Lessons in Computer Science
Course code KMI/VPIT
Organizational form of instruction Lecture + Exercise
Level of course Bachelor
Year of study not specified
Semester Winter
Number of ECTS credits 6
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)
  • Trnečka Martin, RNDr. Ph.D.
Course content
unspecified

Learning activities and teaching methods
unspecified
Learning outcomes
Prerequisites
unspecified

Assessment methods and criteria
unspecified
Recommended literature
  • McAnlis, C., Hackey, A. (2016). Understanding Compresssion.
  • Mueller, J. P., Massaron, L. (2021). Machine Learning.
  • Steen, M., Tanenbaum, A. S. (2017). Distributed Systems.
  • Trask, A.,W. (2019). Grokking Deep Learning.


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): Information Technologies (2022) Category: Informatics courses 3 Recommended year of study:3, Recommended semester: Winter