This lecture introduces the Simplex Method for optimal decision making in linear programming. Starting with assumptions on LPs in standard form, the lecture covers basic and advanced concepts such as basic representation, reduced costs, and the Simplex Algorithm. Through examples, the instructor illustrates how to find optimal solutions and improve objective values by manipulating basic and non-basic variables.