This is an empirical course on Technology and Innovation Economics. The course identifies many significant sources of data. The course provides a guide to developing economic models and formulating hypotheses that can be implemented for empirical analysis. The course demonstrates how to go from modeling and hypotheses to gathering and presenting data, conducting empirical analysis, and analyzing and interpreting empirical results. The course introduces Innovation Economics and its applications in industrial organization, strategic management, finance, marketing, entrepreneurship, managerial economics, and microeconomics. Topics include empirical analysis of Research and Development (R&D), Innovation, Markets for Technology, Platforms and Multi-Sided Markets, Internet Economics, Adoption and Diffusion of Technology, Artificial Intelligence (AI), Intellectual Property (IP) (patents, copyrights, trademarks, and trade secrets), creative destruction and dominant designs, and markets for technology.