Palacký University Olomouc
Study programmes & Course catalogue
for academic year 2025/2026
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-optional
Form of instruction Face-to-face
Work placements This is not an internship
Recommended optional programme components None
Lecturer(s)
  • Trnečková Markéta, Mgr. Ph.D.
  • Machalová Monika, Ing.
Course content
unspecified

Learning activities and teaching methods
unspecified
Learning outcomes
Prerequisites
unspecified

Assessment methods and criteria
unspecified
Recommended literature
  • Gonzales, R. C., Woods, R. E. (2017). Digital Image Processing. Prentice Hall.
  • 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; Pearson Education.
  • 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: 10.12.2025 23:53. Data created for academic year 2025/2026