For more details on the courses, please refer to the Course Catalog
| Code | Course Title | Credit | Learning Time | Division | Degree | Grade | Note | Language | Availability |
|---|---|---|---|---|---|---|---|---|---|
| GEC3416 | Risk and Portfolio Management | 3 | 6 | Major | Bachelor | 3-4 | English | Yes | |
| This course introduces the modern portfolio theory and portfolio and risk management in practice. In the first part of the lecture, emphasis will be given to the theoretical aspects of the models and their derivations. In the second part of the lecture, students will gain hands-on experience on implementing the models using Python. | |||||||||
| GEC3417 | Machine Learning for Financial Economics | 3 | 6 | Major | Bachelor | 3-4 | English | Yes | |
| This course introduces how machine learning can be utilized in finance. Credit scoring, asset return prediction, and other areas of finance using machine learning will be introduced. Basics of machine learning will be covered at the beginning of the semester, followed by their applications in finance. Students will have a chance to implement some of the models using Python later in the semester. | |||||||||
| GEC3418 | Causal Inference in Economics | 3 | 6 | Major | Bachelor | 3-4 | English | Yes | |
| In this course, students will learn about empirical methods for causal inference. Causal inference focuses on uncovering causal relationships: social scientists aim to quantify the effect of a cause on the outcome variable of interest. Methods of causal inference are widely used in both academia and industry to assess the effects of policy interventions, where the term policy encompasses any intervention of interest by public or private agents, or by nature. This course covers basic inferential methods such as matching, difference-in-difference, synthetic controls, instrumental variables, and regression discontinuity design. By the end of the course, students will be able to address problems of causal inference that are routinely considered in academic, public and private areas. The instructor introduces the theory in lectures and encourages students to discover results for themselves through a variety of applications. | |||||||||
| GEC3419 | Economics of Crime | 3 | 6 | Major | Bachelor | 3-4 | English | Yes | |
| This course examines economic approaches to understand criminal behavior and successful crime-fighting strategies. Based on the traditional rational choice model used by economists, in which individuals make decisions that are optimal for themselves, students will analyze various issues in crime and criminal justice policies. Specifically, this course will discuss several well-documented determinants of crime, such as poverty, inequality, low education, and and peer effects, as well as potential policy interventions that are known to improve public safety in an efficient and effective manner. Students are expected to have some knowledge of econometrics, and actively participate in class discussion. | |||||||||
| ISS3157 | Behavioral Economics and the Economics of Altruism | 3 | 6 | Major | Bachelor | 1-4 | English | Yes | |
| Behavioral economics is gaining widespread acceptance among contemporary economists. Motivated by models and evidence from Psychology, it considers the implications of relaxing key classical assumptions, in particular, to allow for limited willpower, bounded cognition, and other-regarding preferences. Students will get a rigorous but intuitive introduction to prominent behavioral models such as "prospect theory", "satisficing," "time-inconsistent preferences", and "fairness". We will compare these to traditional economic models, considering the evidence, particularly from lab and field experiments, while learning key principles of experimental design and analysis. | |||||||||
| ISS3159 | Understanding International Finance, the Global Economy, and Exchange Rates | 3 | 6 | Major | Bachelor | 1-4 | English | Yes | |
| Exchange rates, foreign currency and international finance are essence in the global economy. Government repays overseas debt, companies make contracts on exporting/importing goods with foreign ones and fund managers invest clients’ money in overseas assets. All these economic activities are ultimately related to foreign exchange risk. Therefore, we will face serious economic losses without understanding international finance. This motivates us to study international finance. This course assumes that attended students have no background in finance and starts by introducing students to the foundations of financial theory. Students then learn the foundations of international finance focusing on foreign exchange rates. This course further introduces more advanced topics such as international asset pricing and currency risk management which are being actively used in the real world. In addition, students acquire skills in data analysis using Excel with Visual Basic for Applications. This exercise is very useful for students not only to prepare for their group works in this class, but also to do empirical analysis in both academics and industry. | |||||||||
| ISS3273 | The Present and Future of International Trade | 3 | 6 | Major | Bachelor | 1-4 | English | Yes | |
| A principle analysis of the pure theory of international trade. This course willinclude selected topics such as gains from trade, theories of comparative advantage, production and consumption in the model of international trade, effects of international trade on the factors of production, growth and welfare aspects of trade, trade policies, and economic unions. | |||||||||
| ISS3287 | Understanding Game Theory | 3 | 6 | Major | Bachelor | English | Yes | ||
| This course is intended to familiarize economics majors with game theory and its applications. It first considers how to set up and solve games. It then considers topics such as strategic entry deterrence, strategic choice of managerial incentives, games between a principal and an agent, auctions, bargaining, strategic trade policy, public goods, and club goods. | |||||||||
| SOE3001 | Statistical Learning and Artificial Intelligence | 3 | 6 | Major | Bachelor | 3-4 | Economics | Korean | Yes |
| This course covers a variety of topics related to statistical learning and artificial intelligence. Students will learn concepts and basic theories of various statistical methods and models used in artificial intelligence. In order to cultivate analytical skills and problem-solving skills for real data, Python program and deep learning package are used to practice real data. | |||||||||