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Economics

For more details on the courses, please refer to the Course Catalog

교육과정
Code Course Title Credit Learning Time Division Degree Grade Note Language Availability
BIZ2022 Introduction to Financial Accounting 3 6 Major Bachelor 1-4 SKK Business School English,Korean Yes
Provides balanced coverage of the mechanics, measurement theory, and economic context of financial accounting. Strikes a balance between a preparer's and a user's orientation, emphasizing that students must understand both how transactions lead to financial statements (preparer's orientation) and how one can infertransactions given a set of financial statements (user's orientation). Relies on current, real-world examples taken from the popular business press. First part of the course introduces students to the financial accounting environment, financial statements, the accounting cycle, and the theoretical framework of accounting measurement. Second part of the course covers the elements of financial statements, emphasizing mechanics, measurement theory, and the economic environment.
CHS2002 Data Science and Social Analytics 1 2 Major Bachelor 1-4 Challenge Semester - No
This course is intended to examine human behaviors and social phenomena through the lens of data science. Students also may learn online data collection and analysis in social media spaces. It deals with both theory and practice, but relative portion may change in each semester without prior notice.
CHS2005 Global Economic History 1 2 Major Bachelor 1-4 Challenge Semester - No
This course aims to enhance the knowledge on the modern global economic order by studying the evolutionary process of the global world economy. Main concepts include modernization, entrepreneurship, industrial revolution, technological progress, economic development, globalization, and world economic order. Details of th course are as follows. It begins with the broad explanation of the global economic history, and moves on to ancient time, middle age, great voyage, mercantilism, industrial revolution, first wave of globalization, retreat of globalization, second wave of globalization, and contemporary globaization.
CHS7001 Introduction to Blockchain 3 6 Major Bachelor/Master/Doctor Challenge Semester - No
This course deals with the basic concept for the overall understanding of the technology called 'blockchain'. We will discuss the purpose of technology and background where blockchain techology has emerged. This course aims to give you the opportunity to think about the limitations and applicability of the technology yourself. You will understand the pros and cons of the two major cryptocurrencies: Bitcoin and Ethereum. In addition, we will discuss the concepts and limitations about consensus algorithm (POW, POS), the scalability of the blockchain, and cryptoeconomics. You will advance your understanding of blockchain technogy through discussions among students about the direction and applicability of the technology.
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.
CHS7003 Artificial Intelligence Application 3 6 Major Bachelor/Master/Doctor Challenge Semester - No
Cs231n, an open course at Stanford University, is one of the most popular open courses on image recognition and deep learning. This class uses the MOOC content which is cs231n of Stanford University with a flipped class way.  This class requires basic undergraduate knowledge of mathematics (linear algebra, calculus, probability/statistics) and basic Python-based coding skills. The specific progress and activities of the class are as follows. 1) Listening to On-line Lectures (led by learners) 2) On-line lecture (English) Organize individual notes about what you listen to 3) On-line lecture (English) QnA discussion about what was listened to (learned by the learner) 4) QnA-based Instructor-led Off-line Lecture (Korean) Lecturer 5) Team Supplementary Presentation (Learner-led)   For each topic, learn using the above mentioned steps from 1) to 5). The grades are absolute based on each activity, assignment, midterm exam and final project.   Class contents are as follows. - Introduction Image Classification Loss Function & Optimization (Assignment # 1) - Introduction to Neural Networks - Convolutional Neural Networks (Assignment # 2) - Training Neural Networks - Deep Learning Hardware and Software - CNN Architectures-Recurrent Neural Networks (Assignment # 3) - Detection and Segmentation - Generative Models - Visualizing and Understanding - Deep Reinforcement Learning - Final Project.   This class will cover the deep learning method related to image recognitio
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.
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.
COV7001 Academic Writing and Research Ethics 1 1 2 Major Master/Doctor SKKU Institute for Convergence Korean Yes
1) Learn the basic structure of academic paper writing, and obtain the ability to compose academic paper writing. 2) Learn the skills to express scientific data in English and to be able to sumit research paper in the international journals. 3) Learn research ethics in conducting science and writing academic papers.
DBA4024 Accounting Information and Valuation 3 6 Major Bachelor/Master 1-4 Business Administration Korean Yes
The objective of this course is to review empirical studies that examine the effect of accounting information on valuation. Accounting information has a role of facilitating cash flows between firms and investors. With this perspective, this course examines the role and economic consequence of accounting information that is used in various economic decisions in capital market.
DRM5034 Economics & Policy Science of Occupational Safety and Health 3 6 Major Master/Doctor 1-4 Interdisciplinary Program in Crisis, Disaster and Risk Management - No
This course is to study economic theory and policy science which is essentially needed to understand how to prevent occupational accidents. Students will learn supply and demand of services necessary for accident prevention, privatization of public goods and services including basic economic theory. Also, students will study environmental changes, dynamics of interests among pressure groups and relationship between industrial accidents and compensation. Through this course students enhance their understanding of economics and policy science of occupational safety and health,
DRM5040 Economic Theory on Safety 3 6 Major Master/Doctor 1-8 Interdisciplinary Program in Crisis, Disaster and Risk Management - No
This course is specifically designed for understanding the economic principles on various safety issues. The topics including the definition of risk assessment, the risk assessment procedures, hazard identification methods, hazard identification methods, hazard control measures, record keeping, job hazard analysis will be discussed.
DRM5041 Special Economic Topics in Occupational Safety and Health 3 6 Major Master/Doctor 1-8 Interdisciplinary Program in Crisis, Disaster and Risk Management - No
The first half of this course will provide the knowledge, practical skills, and tools to conduct accident and incident investigations. Topics in this interactive course will include needs and responsibilities for investigation, preparation and planning, witness interviewing and qualifying, photographing and diagramming of accident scenes, analytical techniques, report writing, and legal aspects. Human and environmental factors and their interaction with the investigation will also be covered in this course packed with information. Furthermore, in the second half of the course, if you work on or near energized electrical systems, have a safety role at these sites or are an emergency responder, the new electrical safety standards (NFPA 70E) are the next step to a safer electrical environment in the workplace. Anyone who deals with hazards such as electrocutions, fires and explosions should attend. Learn how to prevent serious disabling injuries, damage to equipment and work sites and most importantly, save lives. Additionally, students will learn about the role and responsibility of the employer to develop and implement an energy control program, or lock-out/tag-out (LOTO) for the protection of workers while performing servicing and maintenance activities on machines and equipment.
ECO2001 Principles of Economics Ⅰ 3 6 Major Bachelor 2-3 Korean,English,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 Korean,English,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.