Korea, South

This course covers the application of deep learning and how to implement it in practice. It explores the background of machine learning, neural network for deep learning, and includes explanations of the basic structure of deep learning and advanced deep learning structure. Students learn real-world problems ranging from computer vision to natural-language processing.

Prerequisite: Basic Python Programming

This course examines in detail the basic principles of international taxation. It tries to identify the core issues in developing international tax rules, and study the different approaches countries have taken in dealing with these issues. Topics covered include basic theory of international taxation, jurisdiction for taxation, methods of international double tax relief, basic operation of double tax treaties, and international issues in tax administration. 

This course critically engages Korean culture and society and discusses culture in/of Korea from various perspectives.

As data are accumulating at an incredible rate due to a host of technological advances, electronic data capture has become inexpensive and ubiquitous. Data mining is a rapidly growing field that is concerned with developing techniques to assist managers to make intelligent use of these data. A number of successful applications have been reported in many areas. The field of data mining has evolved from the disciplines of statistics and artificial intelligence. This course examines several methods that have emerged from both fields and proven to be of value in recognizing patterns and making predictions from an application's perspective. We survey applications and provide an opportunity for hands-on experimentation with algorithms for data mining using easy-to- use software and cases.

This course is designed to provide an introduction to political science for students who have an interest in political science. It is desirable for students to have civic culture in democratic society. The purpose of the course is to introduce the basic contents and logic of political science (and social science). Students learn theories and practices related to various political phenomena and discuss salient issues on state and democracy. Topics include definition of political science, methodology and logics of social science (correlation and causalit, problems of subjective and objective measurement), state and society, institution and culture, fairness and efficiency, idealism and realism, parliamentarism, presidentialism, semi-presidentialism, elections and political parties, political communications, theories of democracy, public choices, international relations, and perspectives on social changes.

Assessment: Midterm Essay (30%), Final Essay (60%), Attendance and class participation (10%)

This course covers the basic and important concepts in microconomics. Topics include consumer, producer, and market equilibrium, various market structures, decision making under uncertainty, and how to apply microeconomics frameworks to trade, law, politics, and blockchain.

Stratification is one of the oldest areas of study in sociology. This course provides an introduction to the major concepts that are used to study stratification. It also focuses on what early and contemporary sociologists describe as the causes for social stratification. The course allows students to observe and reflect on life under the stratification system and the consequences of inequality and social policies for such problems. 

This course starts with basic concepts in investments including time value of money, bonds, duration, and equities. Then we study the risks and the returns that are applied to Markowitz’ modern portfolio theory and the capital asset pricing model. The derivative securities such as forwards and options are introduced. Topics include Bond Price and Yields, Yield to Maturity, Duration, Equity Valuation, Markowitz’ Portfolio Theory, and Forwards and Options.