This course will cover the basic concepts and principles of health economics and challenges in health policy implementation. By studying this course, students will establish economic thinking and be able to flexibly use economic methods to analyze practical problems in the field of health care. Students will also learn about the application of machine learning in public health. This course combines theory and methodology. The teaching goal focuses on students' ability to analyze and solve practical problems. Interactive teaching is done through group discussions and topic debates around case studies. Each chapter consists of a theory and case analysis. The case discussion will focus on basic theories and methods and highlight the hot issues in the current medical and health system. The exam will be an open-book exam, with class discussions accounting for 40%, and the final exam accounting for 60%.