Teaching

Description: This course aims to study mathematics necessary to study digital finance. Students study linear algebra, optimization theory, probability theory, and calculus, which are basic mathematics necessary to understand big data, AI, cloud computing, and blockchain, which are technologies used in digital finance.

Semester: Spring (Biennial)

Description: This lecture will study theories of artificial intelligence and deep learning, and then study how to predict data by applying them to digital finance and financial data.

Semester: Spring (Biennial)

Description: This class examines the latest technologies and research related to digital finance, and reviews and discusses new applicable business and new research methodologies.

Semester: Fall

Description: This class is for the understanding of the financial industry and digital transformation.

Semester: Fall

Description: Strategic thinking that design business and think creatively and innovatively is important along with the development of product quality or technology. In this class, through design thinking, students present a comprehensive solution for a project in progress in an actual company with a variety of perspectives.

Semester: Fall

Description: This course is to learn the concept and basics of digital finance. It is for understanding the digital finance and studying technologies used in digital finance such as Big Data, A.I., Cloud Computing, Block Chains, Digital Marketing, etc. The final step is to understand trends in digital finance and FinTech companies and predict the future of digital finance.

Semester: Spring (English Lecture)

Description: In this course, students will learn from the history of artificial intelligence, search method, expert systems, knowledge expression, fuzzy logic, machine learning, and neural networks. And through this, students consider how it can be applied to finance.

Semester: Fall (English Lecture)

Description: This course aims to educate computer programming techniques such as Python necessary for fin-tech and to use them to implement various techniques in the fin-tech field with a computer. In this course, students learn basic Python programming necessary to implement the technology for fintech in the era of the 4th industrial revolution and implement actual results using financial data.

Semester: Fall

Description: This course aims to study blockchain technology as a basic technology of cryptocurrency and various business cases based on blockchain. Students will study blockchain-based platforms and analyze various financial cases related to blockchain technology.

Semester: Fall

Description: This course aims to study mathematics necessary to study digital finance. Students study linear algebra, optimization theory, probability theory, and calculus, which are basic mathematics necessary to understand big data, AI, cloud computing, and blockchain, which are technologies used in digital finance.

Semester: Spring