Korea University

Seoul, South Korea

Available Courses

This course explores human-environment relations, especially how those relations are mediated through various social situations, economic conditions, and political power. The field emphasizes the social factors that influence environmental resource management and cause environmental issues, the processes by which these environmental problems are socially constructed and define as social issues, and societal responses to these 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 reviews the historical development of Korean economy and business and analyzes the factors which influence the operation of Korean companies. The focus of the course is on how changes in the business environment including government policies have impacted on international competitiveness as well as functional strategies of Korean firms during the last several decades.

Through this course, students is expected to gain knowledge of current research techniques for studying brain function as well as to understand current research topics on emotions in the field of behavioral neuroscience.

Throughout the semester students will read and criticize research articles published in scientific journals to support their learning activities.

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. In this course, we specifically cover basic principles in data learning, reinforcement learning, deep learning, and interactive visualization for data learning, which covers widely-used techniques in data learning.

This course will provide students with an overview of the key psychological concepts and theories and how those apply to new media. Students should have basic knowledge of key theories, concepts, and methods to succeed in this course. The ultimate goal of this course is to provide students with a sound understanding of the dynamics of the psychological mechanism underlying the processes of media consumption and how new media impacts us.

This course aims to make students become familiar with basic theories and techniques of analog VLSI design in CMOS technology that includes CMOS devices, circuits, standard CMOS fabrication processes, CMOS design rules. Students will have hands-on experience for simulations and layouts based on a commercial process.

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

Kompleks Kementerian Pendidikan, Kebudayaan, Riset, dan Teknologi. Gedung D Lantai 18, Jalan Jenderal Sudirman, Pintu Satu, Senayan, Jakarta, Indonesia 10270

Partners: [email protected]
Students: [email protected]