{"id":1369,"date":"2021-04-14T10:14:15","date_gmt":"2021-04-14T02:14:15","guid":{"rendered":"https:\/\/bap2.cm.nsysu.edu.tw\/?page_id=1369"},"modified":"2021-04-14T14:43:39","modified_gmt":"2021-04-14T06:43:39","slug":"financial-services-and-financial-technology-data-case","status":"publish","type":"page","link":"https:\/\/bap2.cm.nsysu.edu.tw\/?page_id=1369&lang=en","title":{"rendered":"Financial Services and Fintech Data Case Study"},"content":{"rendered":"

Financial Services and Fintech Data Case Study<\/strong><\/span><\/h2>\n

Course Arrangement<\/strong><\/span><\/h3>\n

In recent years, due to the combination of Finance and Technology, the rules and appearance of fund operations and transactions have been changed. It makes Financial Technology (FinTech) turn into an important issue in countries around the world, and also the focal point in current financial and technology industry. In 2015, the World Economic Forum (WEF) proposed a clear development framework of “six functional areas, eleven groups of innovations”, portraying the financial environment that FinTech may bring to the future. The six functional areas are Lending, investment management, insurance, payment, fundraising, and marketing. In order to response to the wave of FinTech development, the FSC launched a series of financial technology-related policies in 2015 which has been regarded as the first year of Taiwan’s financial technology. Therefore, Stanford, Princeton, MIT, Duke, NYU, NTU Famous schools at home and abroad have opened courses in the field of it. Recently, the technical level of FinTech has developed into data analysis of artificial intelligence which is mainly a product of the development (including massive data analysis, cloud computing, and intelligent hard drive), artificial intelligence, and blockchain technology. it mainly covers the investment, lending, insurance, and credit reporting industries. Related technologies have become the basis for business development and support the innovation of financial products, including new types of insurance and investment products.<\/p>\n

Teaching Goals<\/strong><\/span><\/h3>\n

The goal of the course is designed to enable students to know the current status and future trends of the development of the financial technology field, and identify the needs and pain points of the current financial consumer to propose feasible solutions. Take the case data set as an example to learn how to use the R program to do data processing, and lead the students to solve the problems being raised by the case through the machine (deep) learning method.<\/p>\n

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Course Syllabus<\/span><\/strong><\/h3>\n
PART-I Current Status and Future Trends of Fintech<\/h5>\n