Graduate course teaching methods for data collection and visualization

This graduate-level course is designed to equip students, particularly those in engineering disciplines, with robust analytical skills focused on econometric methods and data analysis. The course covers practical applications of econometrics, empowering students to rigorously analyze, interpret, and solve real-world policy and economic problems using statistical techniques

This course examines platform economics, integral to the digital economy. It begins with an exploration of network effects, definitions of platforms, and their typologies, followed by an analysis of their business, entry and growth mechanisms, pricing strategies and non-pricing strategies are also covered. The latter part of the course applies these concepts to specific platform types like search engines and peer-to-peer networks, exploring their unique properties. Discussions also extend to the regulation of these markets, either ex ante or ex post.