Probability Calculus I 360-MS1-3RP1a

Student
- has general knowledge of classical probabilistic theory, including the laws of large numbers and limit theorems for discrete random variables.
- knows the concept and basic properties of probability.
- knows the basic schemes of probability calculus, including sequence of Bernoulli trials.
-can give examples of discrete and continuous probability distributions and discuss selected random experiments and mathematical models in which these distributions occur.
- knows how to apply basic probability calculus schemes, including the formula for total probability and the Bayesian formula.
- is able to describe discrete random phenomena in the world around him, along with the proper use of language and probabilistic concepts.

exam

1. D. Stirzaker - Prabability and Random variables. A beginner's Guide.
2. W. Feller - An Introduction to Probability Theory and Its Applications
3. G. Grimmet, D. Stirzaker - One Thousand Exercises in Probability.

Additional information (registration calendar, class conductors, localization and schedules of classes), might be available in the USOSweb system:

• Description of 360-MS1-3RP1a in USOSweb