English

This course covers online and reinforcement learning, concepts that break out of the static realm and move into the perpetual cycle of receiving new information, analyzing it, and executing actions based on the updated estimation of reality. This course considers the agents (computer programs, robots, living beings) that learn based on interactions with real or simulated environments: repeated investment in the stock market, spam filtering, online advertising, online routing, medical treatments, games, and robotics. The course also situates online and reinforcement learning to model a much richer range of problems, such as limited and delayed feedback; and even adversarial problems, where the environment deliberately acts against the algorithm (chess, spam filtering). Mathematical tools for developing and analyzing algorithms for these problems are also studied.

This course provides a general introduction about Chinese family business. It breaks into four main fields: Understanding today's family business, inherited pros and cons of the family business, succession plans and difficulties, and effective governance of business and family. Instructional methods include lectures, case study (Specific in the greater China), group discussion and inviting experience guest speaker to share their perspectives on the specific related topics.

This course is an introduction to sociology. It treats sociology as a science and a profession, emphasizing scientific questions, theories, methods, findings, and their applications. It covers a wide range of topics and social phenomena, such as inequality, crime, immigration and ethnicity, intergroup hate, misperceptions, polarization, religion, gender, and modernization. The course introduces useful sociological ‘tools’ and ‘principles' designed to describe and understand social phenomena scientifically. Furthermore, students receive an introduction to key sociological concepts, theories, perspectives, methods, and stylized findings.