Course: Probability Theory and Statistics

» List of faculties » PRF » KMI
Course title Probability Theory and Statistics
Course code KMI/PRST
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 unspecified
Form of instruction Face-to-face
Work placements This is not an internship
Recommended optional programme components None
Lecturer(s)
  • Bělohlávek Radim, prof. RNDr. Ph.D., DSc.
  • Konečný Jan, doc. RNDr. Ph.D.
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
unspecified

Assessment methods and criteria
Oral exam, Written exam

Active participation in class. Completion of assigned homeworks. Passing the oral or written 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