This lecture introduces stochastic integration, covering the process bracket, martingales, and variations. It explains the decomposition of a submartingale into a martingale and a predictable process, along with the uniqueness of this decomposition. The lecture also discusses the properties of martingales and the concept of variation locally bounded functions.