English

Artificial intelligence in medicine has created tremendous business opportunities recently, creating an ideal environment for AI-Biomedical interdisciplinary specialists to make considerable contributions and significantly impact the world. Intelligent medicine aims to utilize state-of-the-art AI technologies for many medical applications such as accurate disease risk prediction and essential predictors selection, which are for early precise and efficient treatments. This course introduces the vast potential of intelligent medicine, seeking to advance student skills and motivation for AI-Biomedical interdisciplinary science.  

The course also introduces potential partners for future interdisciplinary collaboration to our students and provide opportunities for practical implementations through several carefully designed experiments, which shall demonstrate how to leverage real-world medical resources and related AI technologies. The course includes visits to prestigious companies and institutes and as well as seminars. 

This course examines various big data sources covering different urban aspects and the extensive information carried by big data. It looks at various urban dynamics, including but not limited to the everyday issues of housing, mobility, consumer markets, social
interactions, and environmental sustainability. 

This course examines the increasing capacity of open-source GIS in disseminating spatial data sets in non-conventional formats. It covers a showcase of diverse datasets and their potential values and hands-on practices about the uses of these datasets. 

This course examines China’s natural environment; its institutional, legislative and administrative frameworks in environment protection and nature conservation; and discusses the government’s strategies for environmental protection and sustainable development.

The phenomenon of globalization is vital to our understanding of the world since the end of the Second World War, and particularly since the 1970s. In this course, students look at the processes that made the world a more integrated and interdependent place in the second half of the 20th century.

This course aims to introduce the fundamentals of environmental hydrology as well as some basic hydrological analysis and simulation methods. As an important tool for hydrologists, Geographic Information System (GIS) and its applications in hydrology are also introduced. Specifically, this course contains

three modules:

(1) introduction to the fundamental theories on hydrologic processes;

(2) introduction to some commonly used hydrological analysis methods

(3) introduction to using SWAT (Soil and Water Assessment Tool) for hydrological process simulations.

This research course allows a student to participate in 8-10 hours per week on lab tasks, including data analysis and preparation for meetings with the lab supervisor. 

The final grade is based on lab task participation and an oral presentation. 

This course belongs to the small class which is required for the Corporate Finance. The orientation of small-class teaching is: deepen understanding, locate interest, improve ability.

An introduction to the physical processes occurring in the Earth's atmosphere. Interpretation of weather maps and satellite images, cloud types and formation, atmospheric structure, thermodynamic processes, rain formation, solar and terrestrial radiation, energy balance at the surface, cumulus and cumulonimbus convection, and air pollution.