Probability Theory WM-MA-RPR
1. Probabilistic space.
2. Classic and geometric probability
3. Conditional probability, Bayes formula.
4. Independent events.
5. Distributions and densities, expected value.
6. Multidimensional Random Variables.
7. Multidimensional Normal Distribution.
8. Independent random variables,
9. Conditional Distributions.
10. Convergence of Random Variable.
11. Central Limit theorems.
Characteristic functions.
(in Polish) Grupa przedmiotów ogólnouczenianych
Subject level
Learning outcome code/codes
Type of subject
Course coordinators
Learning outcomes
K1_W01, K1_W02, K1_U30, K1_U31, K1_U32, K1_U33
Assessment criteria
Dwa kolokwia po 20 pkt.
Egzamin 60 pkt.
Ocena na podstawie sumy punktów :
50-60 dst.
61-70 dst+'
71-80 dobry
81 - 90 dobry plus
91 - 100 bardzo dobry.
Additional information
Additional information (registration calendar, class conductors, localization and schedules of classes), might be available in the USOSweb system: