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International Trade (Graduate)

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
CHS5004 Internship in Foreign Trade 3 6 Major Master/Doctor Challenge Semester Korean Yes
This course is offered to master program students in the Department of Foreign Trade at the graduate school, for 3 credits after performing an internship in a trade-related company using the summer challenge semester. The head of the department grants credits when an activity report is submitted after internships of at least 60 days or 300 hours with an evaluation report of the company. Students, participating on this program, are expected to utilize their theoretical knowledge which they have learned in school about trade management activities and use the internship opportunity as a course to prepare for entry into the real world. After a student recruits an internship company, the student applies and registers for this internship course to the department, while the school may provide internship information when available or possible. Any internship-related revenue, income expenses, and safety management belong to the intern student and/or the company concerned, and the university authorities have a secondary duty of care for the students.
CHS5005 AI Startup and Entrepreneurship 3 6 Major Master/Doctor 1-4 Challenge Semester - No
Recent years have witnessed a rapid increase in the number of so-called AI startups with AI as their core value, as the scope of AI's application across all industries has expanded significantly. This is gaining popularity not only in Korea, but globally as well. However, there are no theoretical or empirical guidelines regarding the entrepreneurial skills and business models that AI startups in a hypercompetitive market should possess. It is extremely harsh for those AI startups that are actually traditional businesses dressed up to look like they use AI to to succeed in a very competitive market. For AI startups with inadequate business acumen, gaining a foothold on the market is also a daunting task. By focusing on the following three goals, henceforth, this course aims to assist the growing number of AI startups with their challenges. Firstly, it categorizes the various possible business models for AI startup companies. Secondly, it then examines some of the most prominent domestic and international cases to illustrate the various types of entrepreneurship that AI startups require to thrive. Thirdly, a hypothetical AI startup is created, on a team basis, using real-world software such as Landbot, Stable Diffusion, and a number of no-code ML/DL (machhine learning/deep learning). Then its business model and entrepreneurship are established; and its efficacy is evaluated.
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.
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.
ECO5015 Econometrics Seminar Ι 3 6 Major Master/Doctor 1-4 Economics Korean Yes
This course is basically designed for those who plan to write a dissertation on econometrics. Students will be guided with instructions on how to survey the related literature, how to build up an alternative model to alleviate problems or limitations of the existing models, and how to prove main arguments empirically.
ECO5017 International Economics Ⅰ 3 6 Major Master/Doctor 1-4 Economics Korean Yes
This course deals with the theories of international finance at the graduate level. It covers such issues as the determination of the exchange rate and the balance of payments. It also includes LDC's foreign deth problem and currency crisis.
ECO5018 International Economics Ⅱ 3 6 Major Master/Doctor 1-4 Economics - No
This course deals with the trade part of international economics at the graduate level. It covers such areas as the principle of comparative advantage, foreign direct investment(FDI), economic integration, and tariff & non-tariff trade protection.
ECO5019 Seminar Ι on International Economics 3 6 Major Master/Doctor 1-4 Economics Korean Yes
Ph. D students who plan to prepare thesis on area of International Finance should attend the seminar. At the seminar students should present review assigned papers, Outside scholars in this area may be invited to give lecture seminar.
ECO5020 Seminar Ⅱ on International Economics 3 6 Major Master/Doctor 1-4 Economics - No
This course is for the Ph.D students. Students are expected to write papers with the topics on international trade and to present them to class. outside scholars may be invited to give lecture and seminar.
ECO5021 International Economic Policy 3 6 Major Master/Doctor 1-4 Economics - No
The lecture focuses on important issues or international economic policy such as tariff, non-tariff policy, international corporation, exchange rate policy capital controls.
ECO5106 Pension Economics 3 6 Major Master/Doctor 1-4 Economics Korean Yes
This class aims to provide a secure foundation in the economic theory and practices of pension. From studying this class, the student will understand: * The key types of pension scheme * The role of pensions in maximizing individual lifetime welfare * The role of pensions in individual savings and retirement decisions * The role and consequences of the pension plan from the company's viewpoint * The role of pensions in promoting aggregate savings * The role of pensions and retirement in overlapping generations models * The economics of ageing and intergenerational accounting * The social welfare implications of pensions
EMBA096 Accounting and Business 3 6 Major Master 1-4 EMBA Korean Yes
Provide the overall understanding of accounting and its functions and roles as the essential language and basic concepts of business. Learn the fundamental concepts and terms of financial accounting for financial reporting, management accounting for business operations, and tax accounting for tax reporting.
GSGE002 Advanced Management of Startup 2 4 Major Bachelor/Master 1-5 Entrepreneurship Korean Yes
This course is to study the systematical meaning of the corporate management to become a successful entrepreneur, focusing on understanding and applying it. Graduates will review processes to maximize the corporate value from allocating human resources and materials to providing finished products or services to markets in macro and micro-management perspectives.