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Lecturer(s)
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Kolařík Miroslav, doc. RNDr. Ph.D.
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Hron Karel, prof. RNDr. Ph.D.
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Fišerová Eva, doc. RNDr. Ph.D.
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Course content
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unspecified
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Learning activities and teaching methods
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Lecture, Demonstration
- Preparation for the Course Credit
- 8 hours per semester
- Preparation for the Exam
- 35 hours per semester
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Learning outcomes
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The students become familiar with basic concepts of probability theory and statistics.
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Prerequisites
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Basic knowledge of calculus.
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Assessment methods and criteria
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Oral exam, Written exam
Active participation in the class. Completion of assigned homeworks. Passing the final exam.
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Recommended literature
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Anděl, J. (2007). Matematika náhody. Praha: Matfyzpress.
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CAPINSKI M., ZASTAWNIAK T. J. (2001). Probability Through Problems. Springer.
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DEVORE J. L. (2008). Probability and Statistics for Engineering and the Sciences. Duxbury Press, 7. vydání.
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HOGG R. V., TANIS E. A. (2005). Probability and Statistical Inference. Prentice Hall; 7. vydání.
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JOHNSON J. L. (2008). Probability and Statistics for Computer Science. Wiley-Interscience.
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Likeš, J., & Machek, J. (1983). Matematická statistika. Praha: Státní nakladatelství technické literatury.
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Likeš, J., & Machek, J. (1981). Počet pravděpodobnosti. Praha: SNTL - Státní nakladatelství technické literatury.
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Morin, D.J. (2016). Probability: For the Enthusiastic Beginner. CreateSpace Independent Publishing Platform.
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Zvára, K., & Štěpán, J. (2006). Pravděpodobnost a matematická statistika. Praha: Matfyzpress.
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