China

This course will help students to
1. Understand the development strategy of building an innovative country as outlined in the 19th National Congress.
2. Summarize new theories of technological innovation economics based on historical technological and economic trends.
3. Analyze innovation and entrepreneurship case studies from hundreds of technology enterprises and cultivate an innovative spirit in the face of various risks.
4. Develop a deep understanding of the business origins of technological innovation and entrepreneurship through business plan preparation.
5. Forecast future technological development trends and anticipate national competitiveness improvements in technological innovation and entrepreneurship.

Course content includes the theoretical foundations of comparative law, detailed comparisons of major legal systems, international and transnational legal issues, social justice, the impact of emerging technologies on law, and environmental law related to sustainable development.

The course covers the entire entrepreneurial process, including principles of college student entrepreneurship, innovative thinking, opportunity identification, business model selection, business plan development, financing, team building, policies, risk management, new venture establishment, and IPO pathways. Emphasis is placed on cultivating entrepreneurial mindset and skills.

This course aims to develop a new perspective to increase students’ ability of dealing with complex matters from life and work. We introduce a system thinking derived from ancient Dao philosophy and modern quantum physics, which yields a methodology to be applied to such daily topics as keeping positivity, raising the ability of focusing the attention and of persistence, facing a difficulty, etc. These topics are discussed from a rational and system perspective, which involves a design of a series of methods to work out a solution. The scope is then shifted from personal topics to those of society, with the same system thinking methodology. We intend to create a platform for students to learn how to understand complex systems from both theory and practical sides.

This course examines health and illness from a cultural perspective. Specifically, we will analyze the social meanings associated with health and illness, medical knowledge production, medical decision-making, and global health in cross-cultural contexts. The students will have a chance to delve into issues related to the social processes of framing illness, the medicalization of life, the complexity and uncertainty surrounding medical decisions, and the cultural aspects of health practices across the globe.

"Fun Microbiology Experiments" is a general experimental course designed for non-life science students to develop interesting, easy and close to hot spots and closely related to life microbial experiments to understand the discipline of microbiology more intuitively. 

"Economic Geography" is a major component of geography, which is the most developed sub-discipline in most National Geographic Science Systems. The development and characteristics of economic geography, on one hand, are closely related to the development of economic activities. On the other hand, they are greatly influenced by geography, economics and other related disciplines. As an independent discipline, economic geography has only a history of over a hundred years. However, its origin and development can be traced further.

This is an introductory course with flat, broad and cutting-edge knowledge, which can meet the needs of cultivating talents in liberal arts to understand information technology from the level of principles and concepts, and establish necessary digital literacy from the perspective of computer culture.

The course is designed to introduce students to human issues involved in engineering management. Topics include the nature of organization, organizational theory, participatory management, strategic planning of human resource, personnel selection, performance appraisal, working motives and incentives, power, credibility, research on leader traits, styles, and situations, and current models of leadership.

This course targets at helping students not only understand and master a specific research method, but also enhance the level of maturity of students towards academic research, more specifically the concepts, skills, and confidence required to learn new methods, or the “Data Quotient”. The lectures may cover basic Machine Learning, frontier methods in causal inference, and some Bayesian statistics. The course also aims at helping enrolled students develop research professionalism – the ability to be a good reader, listener, and speaker for the academia.