Probability Spaces, Events, Axioms of Probability. Combinatorics, Dependent and Independent Events, Conditional Probability, Bayes' Theorem. Random Variables - Continuous and Discrete. Distribution Functions and Density Functions. Expectation, Variance and Higher Moments. Classical Probability Distributions. Chebyshev's Inequality. Sums of Independent Random Variables, The Weak Law of Large Numbers And an Application to Weierstrass' Approximation Theorem. Random Vectors, Conditional Expectation and The Curve of Regression. Generating Functions. The Central Limit Theorem. Random Walks.

Faculty: Mathematics
|Undergraduate Studies

Pre-required courses

104032 - Calculus 2m or 104281 - Infinitesimal Calculus 2

Course with no extra credit

94411 - Probability (ie) 94412 - Probability (advanced) 94417 - הסתברות א' 94480 - מבוא להסתברות וסטטיסטיקה 94481 - Probability and Statistics 104034 - Introduction to Probability H

Semestrial Information