Palacký University Olomouc
Study programmes & Course catalogue
for academic year 2026/2027
Palacký University Olomouc
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Course title -
Course code KMA/POBR
Organizational form of instruction Lecture + Exercise
Level of course Master
Year of study 1
Semester Summer
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)
  • Machalová Monika, Ing.
  • Trnečková Markéta, Mgr. Ph.D.
Course content
unspecified

Learning activities and teaching methods
Monologic Lecture(Interpretation, Training), Dialogic Lecture (Discussion, Dialog, Brainstorming)
Learning outcomes
Prerequisites
unspecified

Assessment methods and criteria
Oral exam, Seminar Work

Recommended literature
  • Gonzales, R. C., Woods, R. E. (2017). Digital Image Processing.
  • Hughes, J. F., van Dam, A., McGuire, M., Sklar, D. F., Foley, J. D., Feiner, S. K., Akeley, K. (2013). Computer Graphics: Principles and Practice. 3rd Edition.
  • Lakshmanan, V., Görner, M., Gillard, R. (2021). Practical Machine Learning for Computer Vision. O'Reilly UK Ltd.
  • Mohit Sewak, Md. Rezaul Karim, Pradeep Pujari. (2018). Practical Convolutional Neural Networks. Birmingham Packt.
  • Szeliski, R. (2022). Computer Vision: Algorithms and Applications. 2nd ed. The University of Washington.


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): Applied Mathematics (2023) Category: Mathematics courses 1 Recommended year of study:1, Recommended semester: Summer
Palacký University Olomouc, date of update: 31.07.2026 23:53. Data created for academic year 2026/2027