For more details on the courses, please refer to the Course Catalog
| Code | Course Title | Credit | Learning Time | Division | Degree | Grade | Note | Language | Availability |
|---|---|---|---|---|---|---|---|---|---|
| CHS7002 | Machine Learning and Deep Learning | 3 | 6 | Major | Bachelor/Master/Doctor | Challenge Semester | - | No | |
| This course covers the basic machine learning algorithms and practices. The algorithms in the lectures include linear classification, linear regression, decision trees, support vector machines, multilayer perceptrons, and convolutional neural networks, and related python pratices are also provided. It is expected for students to have basic knowledge on calculus, linear algebra, probability and statistics, and python literacy. | |||||||||
| CHS7004 | Thesis writing in humanities and social sciences using Python | 3 | 6 | Major | Bachelor/Master/Doctor | Challenge Semester | Korean | Yes | |
| This course is to write a thesis in humanities and social science field using Python. This course is for writing thesis using big data for research in the humanities and social sciences. Basically, students will learn how to write a thesis, and implement a program in Python as a research methodology for thesis. Students will learn how to write thesis using Python, which is the most suitable for processing humanities and social science related materials among programming languages and has excellent data visualization. Basic research methodology for thesis writing will be covered first as theoretical lectures. Methodology for selection of topics will be discussed also. Once a topic is selected, a lecture on how to organize related research will be conducted. In the next step, students learn how to write necessary content according to the research methodology. Then how to suggest further discussion along with how to organize bibliography to complete a theoretical approach. The basic Python grammar is covered for data analysis using Python, and the process for input data processing is conducted. After learning how to install and use the required Python package in each research field, the actual data processing will be practiced. To prepare for the joint research, learn how to use the jupyter notebook as the basic environment. Learn how to use matplolib for data visualization and how to use pandas for big data processing. | |||||||||
| CLA7101 | AI-Assisted Research Methods for Linguistic Data | 1 | 2 | Major | Bachelor/Master/Doctor | Liberal Art | Korean | Yes | |
| AI-Assisted Research Methods for Linguistic Data is an interdisciplinary course designed for undergraduate and graduate students who wish to conduct research using linguistic data. Through step-by-step, hands-on activities, students engage in the entire research process—from identifying a research topic to collecting and preprocessing data, conducting experiments, visualizing results, and writing an academic paper—with the support of generative AI and a variety of AI-assisted tools. Upon completing the course, students will be able not only to independently carry out the entire process of linguistic data research but also to effectively select and utilize appropriate AI tools at each stage. They will also develop the ability to critically evaluate AI-generated outputs and apply them to their research in an informed, responsible, and independent manner. | |||||||||
| ECO2001 | Principles of Economics Ⅰ | 3 | 6 | Major | Bachelor | 2-3 | Economics | Korean | Yes |
| Introductory course for freshmen majoring in economics is designed to provide a general orientation regarding the nature of economic science and basic theories of economics. Topics include basic concepts of economics, determination of priceby supply and demand, princing of output and productive factors, general equilibrium, income destribution, and other aspects of economics. Principles of economics I analyze the optimization behavior of each agent. | |||||||||
| ECO2002 | Principles of Economics Ⅱ | 3 | 6 | Major | Bachelor | 2-3 | Economics | Korean | Yes |
| Introductory course for freshmen majoring in economics is designed to provide a general orientation regarding the nature of economic science and basic theories of economics. Topics include basic concepts of national income, determination ofnational income, employment, interest rate, inflation, wage and price, and econ-omic growth ＆ business cycle. | |||||||||
| ECO2006 | Economic History | 3 | 6 | Major | Bachelor | 2-3 | Economics | Korean | Yes |
| A survey of European and Asian economic history. Representative topics considered are the ancient economy, the medieval economy, the period of commercial capitalism, and the industrial revolution in Western Europe. The course extends coverage to the modern economic histories of Asian countries. | |||||||||
| ECO3001 | Mathematical Economics | 3 | 6 | Major | Bachelor | 3-4 | Economics | English | Yes |
| This course deals with the analytical and the mathematical aspect of economic theory. It also deals with the game-theoretic analysis of various economic situations. Topics include general equilibrium theory, game theory and information economics. | |||||||||
| ECO3003 | Economic History of Modern Age | 3 | 6 | Major | Bachelor | 3-4 | Economics | Korean | Yes |
| Review of economic development in Europe from ancient times to the present. Topics include capitalism in industrial revolution, changes in agricultural structures, growing importance of commerce in the 19th Century, and the two world wars and their economic consequences. Topics may also include modern issues such as the importance of investment, technological change and trade as sources of growth; the development of trading blocks; the retardation problems which developed in both systems in the 1970s; the collapse of the CMEA economies; the economic development of the European Union; the economic performance of European economies in the 1990s. | |||||||||
| ECO3011 | Monetary Policy | 3 | 6 | Major | Bachelor | 3-4 | Economics | Korean | Yes |
| Study of money, credit, and liquidity as related to income, employment, and prices. Special attention is paid to the study of goals and effectiveness of monetary and banking policies. | |||||||||
| ECO3016 | Korean Economy | 3 | 6 | Major | Bachelor | 3-4 | Economics | Korean | Yes |
| This course is in the first place, designed to clarify the characteristics of the development process of the Korean Economy. In so doing, the course is devided post-world war II period into the four different time span ; inter-war period(1945-193), post-Korean war period(1953-1960), economic-development-plan period, and the civil gov't period(1993- ). For those periods, issues such as sources of economic development, structural change, inflation and unemployment, and income distribution are discussed. | |||||||||
| ECO3019 | Special Topics in Economics | 3 | 6 | Major | Bachelor | 3-4 | Economics | - | No |
| Recent research findings or some special topics will be discussed in depth. Topics may vary depending upon the instructor. Class will be conducted by means of class lectures and student presentations. | |||||||||
| ECO3029 | Law and Economics | 3 | 6 | Major | Bachelor | 2-4 | Economics | Korean | Yes |
| The field of law and economics can be shortly summarized as a systematic inquiry about three elements: law, ordinary people, and the market outcome. Specifically, the field of law and economics recognizes as the 'ordinary (rational) people all the market participants including law makers and law enforcers. Only under these presumptions, one can most precisely predict the economic effects of any law or a piece of legislation. Therefore, law and economics, among many other fields in economics, is one of the fields most seriously devoted to accurately explaining the reality as it is. This course starts with the so-called 'Coase Theorem', which is a critical proposition generally evaluated to have triggered this whole field by numerous scholars. After probing into the Coase Theorem sufficiently, the students are supposed to start investigating various economic effects of some major substantive laws, including their other properties such as fairness, justice, or equality. The major substantive laws consist of property law, accident law, contract law, and the constitution. We firstly examine the basic structures of these laws, and subsequently go through the economic properties of main doctrines within such substantive laws. Furthermore, the class also emphasizes how these doctrines are (and were) actually implemented and enforced by the ordinary people in the real world. | |||||||||
| ECO3034 | Financial Derivatives | 3 | 6 | Major | Bachelor | 4 | Economics | English | Yes |
| This advanced course is designed to introduce students majoring economics to the theoretical and practical aspects of futures, options, and other derivatives. Through this course, the students can expand your knowledge and understanding of the financial derivatives and understand their use in investment decision including hedging, speculating, and arbitrage trading and in corporate financial management. The course also provides theoretical and practical methodologies for pricing futures and options. For the option pricing and valuation, basic stochastic processes and stochastic calculus are covered in this course. Examples of topics in the stochastic processes and calculus are Wiener process, Brownian motion, Ito’s Lemma, Black-Sholes process, and Jump processes. The financial markets for the versatile derivatives assets have grown enormously and have generated a profusion of innovative products and ideas, not to mention periodic financial crises. The financial derivatives assets have become one of the most important tools of modern finance, from both the academic and the practical standpoint. However, the subject matter requires relatively greater use of quantitative methods and theoretical reasoning than many other courses, and most students will find it quite challenging. To participate in this class, all students should already understand the basic concepts of mathematics, statistics, and financial economics. | |||||||||
| ECO3043 | Machine Learning and Forecasting of Economic Financial Time Series | 3 | 6 | Major | Bachelor | 3-4 | Economics | Korean | Yes |
| This course will cover the statistical and econometric techniques needed to conduct forecasting of macroeconomic time series or financial time series, including forecasting procedures, forecast evaluation methods, and useful machine learning methods. In particular, the course will consider various machine learning methods such as shrinkage methods, factor models, tree-based methods such as random forests, neural networks, etc. On completing this course the students will understand the central technical issues in forecasting of economic/financial time series and recent machine learning methods. They will be comfortable with the use of standard econometric software such as R to undertake their own research. | |||||||||
| ECO3045 | Data Science for Labor Economics | 3 | 6 | Major | Bachelor | Economics | Korean | Yes | |
| This course aims to deliver how to analyze various types of data, including big data, focusing on the labor market and education-related issues. In this course, students will apply their analytic skills acquired in class to various real-world cases. This course covers data collection, processing, and analysis methods that are widely used throughout social science, especially in economics. Students will learn how to use programming languages such as R and Python and statistical packages specialized in data analysis such as Stata. This course helps students to understand empirical research conducted in labor economics while conducting empirical exercises on various cases focusing on the labor market and education-related issues. | |||||||||