This lecture covers the topic of reversible discrete-time Markov chains, focusing on stochastic models for communications. The instructor explains the concept of stationarity, transition probabilities, and the reversibility property of Markov chains. The lecture also delves into the calculation of probabilities and the conditions for a chain to be reversible.