This lecture introduces the concept of random variables in a finite probability space, exploring examples such as the number of fixed points in a random permutation and the number of triangles in a random graph. It covers the definition of random variables, expectations, linearity of expectation, and the indicator of events, providing insights into computing expectations and their properties.