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Course: Probability Theory and Statistics

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Course title Probability Theory and Statistics
Course code KMI/PRAST
Organizational form of instruction Lecture + Exercise
Level of course Bachelor
Year of study not specified
Semester Winter
Number of ECTS credits 5
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)
  • Masopust Tomáš, doc. RNDr. Ph.D., DSc.
Course content
unspecified

Learning activities and teaching methods
Lecture, Demonstration
  • Preparation for the Course Credit - 8 hours per semester
  • Preparation for the Exam - 35 hours per semester
Learning outcomes
The students become familiar with basic concepts of probability theory and statistics.

Prerequisites
Basic knowledge of calculus.

Assessment methods and criteria
Oral exam, Written exam

Active participation in the class. Completion of assigned homeworks. Passing the final exam.
Recommended literature
  • Anděl, J. (2007). Matematika náhody. Praha: Matfyzpress.
  • CAPINSKI M., ZASTAWNIAK T. J. (2001). Probability Through Problems. Springer.
  • DEVORE J. L. (2008). Probability and Statistics for Engineering and the Sciences. Duxbury Press, 7. vydání.
  • HOGG R. V., TANIS E. A. (2005). Probability and Statistical Inference. Prentice Hall; 7. vydání.
  • JOHNSON J. L. (2008). Probability and Statistics for Computer Science. Wiley-Interscience.
  • Likeš, J., & Machek, J. (1983). Matematická statistika. Praha: Státní nakladatelství technické literatury.
  • Likeš, J., & Machek, J. (1981). Počet pravděpodobnosti. Praha: SNTL - Státní nakladatelství technické literatury.
  • Morin, D.J. (2016). Probability: For the Enthusiastic Beginner. CreateSpace Independent Publishing Platform.
  • Zvára, K., & Štěpán, J. (2006). Pravděpodobnost a matematická statistika. Praha: Matfyzpress.


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): Computer Science - Specialization in General Computer Science (2021) Category: Informatics courses 3 Recommended year of study:3, Recommended semester: Winter
Faculty: Faculty of Science Study plan (Version): Bioinformatics (2021) Category: Informatics courses 3 Recommended year of study:3, Recommended semester: Winter
Faculty: Faculty of Science Study plan (Version): Computer Science (2020) Category: Informatics courses 3 Recommended year of study:3, Recommended semester: Winter
Faculty: Faculty of Science Study plan (Version): Computer Science - Specialization in Programming and Software Development (2021) Category: Informatics courses 3 Recommended year of study:3, Recommended semester: Winter
Palacký University Olomouc, date of update: 18.05.2024 00:11.