This lecture covers the definition and properties of Gibbs's entropy, its relation to Shannon information entropy, and the connection with information theory. It explores how to define entropy in non-equiprobable scenarios, the Gibbs entropy formula in the canonical ensemble, and the information content of events. The lecture also discusses the implications of Gibbs's entropy as a principle, considering non-interacting subsystems and the overall Gibbs entropy.