At the end of the course, students are expected to:

• understand main definitions of probability theory at a working level,
• learn how to compute expectations, variance and higher moments,
• calculate marginal distributions from joint distributions,
• apply normal and Poisson approximation in real life situations,
• make deductions by using the Law of Large Numbers and Central Limit Theorem