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Basic concepts of the probability are presented in a simple discrete framework. No reference to a more advanced analysis or algebra will be made.
Last update: G_M (10.10.2001)
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A soft introduction to probability calculus with the aim to develop students abilities for probabilistic reasonning and modelling.
Last update: T_KPMS (22.05.2008)
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Feller W.: An Introduction to Probability and its Applications. J. Wiley, N. York 1960 (existuje ruský překlad)
Machek J., Štěpán J.: Pravděpodobnost a statistika pro učitelské studium. SPN Praha 1986 Last update: Zakouřil Pavel, RNDr., Ph.D. (05.08.2002)
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Lecture. Last update: G_M (28.05.2008)
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1. Probability space.
2. Combinatorial probability.
3. Independent random events, conditional probability.
4. Discrete random variables, their distributions and moments.
5. Law of large numbers.
6. Discrete random walk.
7. Markov chains.
8. Geometric probability.
Last update: T_KPMS (16.05.2003)
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