Explore the fascinating intersection of stochastic thermodynamics and computational models in this comprehensive lecture. Delve into the thermodynamic properties of Boolean circuits, finite automata, and Turing machines, examining how these fundamental concepts in computer science relate to principles of statistical physics. Gain insights into the energy costs and efficiency of information processing in these computational systems, and discover how stochastic thermodynamics provides a framework for understanding the limits and possibilities of computation at the microscopic level. Analyze the implications of these findings for the design of energy-efficient computing systems and the theoretical foundations of information theory.