Overview of pricing and revenue management; Customer value and willingness to pay; Demand estimation and price elasticity; Segmentation and price discrimination; Dynamic pricing and markdown optimization; Capacity allocation and yield management; Overbooking decisions; Pricing under uncertainty; Competitive pricing and price wars; Game theory applications (Bertrand competition, leader�follower pricing, entry deterrence); Platform pricing and network effects; Pricing in digital markets; Behavioral aspects of pricing; Fairness and ethics in pricing; Revenue analytics using Excel and Python.