Founded in 1905, Korea University is widely acknowledged as the top private university in Korea. Its reputation for quality is based on excellence in teaching, research, and service to the community. Eminent faculty, outstanding students, and internationally recognized research programs all contribute to the University’s profile as an international leader in higher education. Korea University has more than 47,000 students from all over the nation and the world. Including over 8,600 international students; 2,000 enrolled in Korean language programs and 6,600 exchange and degree-seeking students. Korea University currently has 60 departments in 24 colleges/divisions with 24 graduate schools as well as 152 research institutions. The University has distinguished itself with scholarly achievements in the areas of Law, Business Administration, the Humanities, Asian Studies, Science, Engineering, and Medicine. Korea University has over 1,700 full-time faculty members, many enjoying international prominence through their involvement in a wide range of scholarly activities.
Academic: GPA of 3.0 or above on their studies to date
English Language:
– IELTS: 6.0
– TOEFL iBT: 78
– Duolingo English Test: 100
Never had TB/TBC infection
01 September 2024 – 20 December 2024
Applicants 2022
Applicants : 555 students
GPA : 3.00-4.00
TOEFL iBT Score : 81-120
IELTS Score : 6-8
Duolingo English Test Score : 0-160
Awardees 2022
Awardees : 50 students
GPA : 3.22-3.96
TOEFL iBT Score : –
IELTS Score : 8
Duolingo English Test Score : 135-150
Applicants 2023
Regular Applicants : 349 students
GPA : 2.99-4.0
TOEFL iBT Score : 56-88
IELTS Score : 6.0-8.5
Duolingo English Test Score : 85-160
Awardees 2023
Regular Awardees : 40 students
GPA : 3.42-4.0
TOEFL iBT Score : –
IELTS Score : 7.5-8.0
Duolingo English Test Score : 130-160
Available Courses
This course explores human-environment relations, especially how those relations are mediated through various social situations, economic conditions, and political power.
This course introduces the concept of machine learning for pattern recognition by formulation of learning problems and concepts of representation, over-fitting, and generalization. In particular, we will discuss the machine learning models such as Bayesian learning, principal component analysis, decision tree, linear/logistic regression, artificial neural net, deep learning models, support vector machine, clustering, and HMM. Students will be provided with opportunities to exercise these machine learning models in various applications via projects.
The goal of this course is to provide students with basic knowledge of machine learning and intuitions behind them as well as their proper applications to real-world problems.
This course is designed to introduce students to the study of human rights in political science. It will take students through an understanding of how the ideas of human rights and discourses about human rights have been structured and discussed in the context of domestic and international politics. Students will also explore how actual human rights norms are acknowledged or rejected, observed or ignored, and promoted or withdrawn at the domestic as well as international level. This course is organized into two parts. The first half of the course begins with an overview of the concepts and theoretical issues in human rights studies, and the second half focuses on the explanations of different human rights practices across countries looking at various topics related to human rights and considers the conditions favorable for better human rights practices and processes that bring actual changes in human rights practices. By the end of the course, I aim that all the students will become an expert on at least one human rights issue. Therefore, case study research and presentations are expected throughout this course from everyone as a small group.
Marketing and new product development are recognized as being critical to the success of organizations and nations alike. Organizations are operating in increasingly dynamic environments such that being first to market with innovative goods or services is essential. The interplay between creative, market and technical requirements is an extremely complex process whether the innovation is new to the world or an incremental development of existing products. Keeping this in mind this paper has been designed to meet the following business needs:
– to have an understanding of Marketing’s role in the NPD process
– understand the relationship of science, technology and innovation to the market environment
This course explores human-environment relations, especially how those relations are mediated through various social situations, economic conditions, and political power.
The goal of this course is to provide students with basic knowledge of machine learning and intuitions behind them as well as their proper applications to real-world problems.
This course focuses on stimulating creativity in individuals and teams to innovate engineering applications. We will use experimental methods to fulfill team design projects. Teaching teams will help students by lectures and consulting. Don’t forget: every problem is an opportunity for a creative solution!
This course introduces the concept of machine learning for pattern recognition by formulation of learning problems and concepts of representation, over-fitting, and generalization. In particular, we will discuss the machine learning models such as Bayesian learning, principal component analysis, decision tree, linear/logistic regression, artificial neural net, deep learning models, support vector machine, clustering, and HMM. Students will be provided with opportunities to exercise these machine learning models in various applications via projects.
This course is intended as a theoretical and methodological introduction to social network analysis and touches on both data collection and data analysis. By introducing main themes and concepts in social network analysis, the purpose of this course is to provide links between quotidian vocabularies and sociological lexicons; this motivates students to analyze larger social processes and allows them to practice social network investigation in their daily lives.
This course is intended as a theoretical and methodological introduction to social network analysis and touches on both data collection and data analysis. By introducing main themes and concepts in social network analysis, the purpose of this course is to provide links between quotidian vocabularies and sociological lexicons; this motivates students to analyze larger social processes and allows them to practice social network investigation in their daily lives.
This course studies chemistry, functionality and utilization of cereal grains used for human food. The major focus will be on wheat that can be applied to diverse food products. Also, properties of rice, corn, barley and potato will be studied in this course.
This course helps students to become familiar with a number of critical issues about contemporary popular culture in Korea. A primary emphasis will be placed on the ways in which the media express and mediate Korean popular culture. Students will learn theoretical concepts and ideas that enable them to “read” Korean popular culture from academic perspectives. The topics to be examined include gender, collective memory, music, Korean wave, film, journalism, broadcasting, etc. Students will undertake group research projects and discuss their work in class.
This is an introductory course on the economics of international trade and investment. We will emphasize both the intuition behind key ideas as well as some simple ways of demonstrating them with the help of models. Equipped with those, we will analyze current policy questions throughout the course.