We will start with the definition of a probability space followed by a
discussion of "independence" and "conditional probability". Next we burn
our brains (existence assumed) with random variables and its probability
density function. We then define expectation of a random variable. Finally
we will enjoy the "brain-tandoori" by discussing the importance of expectation
using two classical results of probability theory, called "central limit
theorem" and "law of large number".