## E0 226 Linear Algebra and Probability |

- AUG 7: Introduction to probability spaces
- AUG 14: Continuity of probability measures
- AUG 21: Independence, Construction of Borel sigma algebras
- AUG 28: Random Variables
- SEP 11: Distribution Function -- From set functions to point functions
- SEP 25: Discrete and Continuous r.vs and some examples
- OCT 9: Expectation, Variance
- OCT 16: n-dim Borel sigma algebras and Random Vectors
- OCT 30: Random Vectors and Distribution Functions
- NOV 9: Jensens, Holders inequality
- NOV 13: More on inequalities
- NOV 16: exam
- NOV 20: Introduction to convergence, Definitions of a.s, p, L^{r}-convergences
- NOV 21: Results on a.s implies p-convergence, Generalized Chebyshev inequality, L^{r} implies p-convergence, L^{r}-weak Law of large numbers and p-weak law of large numbers