| Description
| This course consists of two modules. The first module, corporate finance, highlights how agency problems affect firms’ financial and investment decisions, dividend policy, firm value, and performance.
The second module, Big data in finance, teaches students to use various techniques of big data mining and analysis algorithms, text mining of social media, and machine learning algorithms to analyze financial data. In this course, by case study, we will strengthen the financial knowledge of information background students. Also, the students can understand how to select and well organize various information technologies. The course is organized in modules, including "Data Analysis", "Machine Learning" and "Big Data Practice for Financial Data analysis." The course will also teach students to collect open financial data from the Internet, and experience the KDD process to establish a prediction model with high forecasting ability and stability.
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