Korea, South

This survey course covers an extensive review of the human body's structural framework and describes how it functions. The course introduces terms in anatomy and physiology; students get to know the body's anatomical structures and gain insight into how the structures and systems function in sickness and health.  

Topics include The human body: reading the map, Cells, Tissues and systems, Skeletal system, Muscular system, Integumentary system, Nervous system, Endocrine system, Cardiovascular system, Respiratory system, Lymphatic system, Immune system, Urinary system, Reproductive system.  

In this studio course, students acquire knowledge and hands-on experience at the intersection of cityscapes, artificial intelligence, and data-driven site analysis and urban design development methods. The lectures focus on the theoretical background of data metrics relevant to urban design. The hands-on sessions help students gain technical skills needed to apply the knowledge. Students apply the theories and skills to analyze the study site, extract current issues, and develop concepts and directions for design interventions. The goal is to acquire foundational knowledge on the theoretical basis, measurement methods, and limitations of key quantitative indicators related to urban design, and learn how to select indicators that align with the objectives of a design project. Students acquire skills in data acquisition and preprocessing; learn how to generate, post-process, and analyze indicators using various spatial data and artificial intelligence; and develop effective communication methods through visualization. Students also learn the process of applying data analysis techniques to the design site to assess current conditions, identify issues and challenges, and establish a foundation for developing planning concepts and alternatives.

This course covers algorithm design techniques and algorithm analysis techniques. It deals with inductive and recursive thinking through which problems can be tackled and solved. 

In the class, students learn organized and effective thinking methods for problem solving. Topics include analysis tools (asymptotic complexity, recurrence), sorting and selection, retrieval and insertion of data (search tree, hash table), dealing with sets, dynamic programming, graph algorithms, text pattern matching, limit of computation (NP-Completeness), problem space, etc. 

Prerequisite: Data Structure. Students should also be familiar with the basics of discrete mathematics and probability. 

This physical activity course covers weight training. Based on sports science, students learn the principles and effects of weight training. Students design a training program that suits their individual goals and level and perform exercises with the correct posture and method. 

This course develops English language skills to an advanced level through reading and critical interpretation of English literature. Students read, discuss, and write about selected well-known literary fiction in English literature, ranging from traditional canonical works to contemporary science fiction. The focus of the course is to introduce essential themes as well as elements of literary form and technique, while developing the analytical skills necessary to produce sophisticated interpretations of texts. Critical reading involves reading actively and reflectively, and being able to understand, analyze, interpret, and communicate intelligently about literary works. Through a broad study of various texts, this course supports both language development and growth in critical thinking. 

This course examines how the market price is set and how market failure occurs as well as how the government can improve market performance. It is recommended for students who have taken Microeconomics and are interested in further studies of oligopoly behavior and competition policy. 

The real market is often in the form of monopolistic competition, oligopoly, and monopoly rather than ideal perfect competition. In such cases, the main task of industrial organization theory is to clarify how market prices and transaction volumes are determined, what are the problems at that time, and what fair trade policies can improve market performance.  

This course is for those who are interested in market organization as a student of microeconomic theory, and it examines the relationship between market structure and firms’ behavior and consumer welfare as well as the strategic interactions between and among firms and consumers. Our quest is for the simplest model or the smallest family of models capable of clarifying important policy issues such as collusion, predation, entry, price discrimination, vertical integration, and patent protection. 

Prerequisite: Microeconomics; it may also be helpful to have a foundation in game theory as an analysis tool.  

This course introduces the study of law and the principles which constitute the foundation of studies in law. This course provides general outlines of issues related to current law, including the Constitution, and the basis of legal philosophical principles. 

Students are introduced to a basic understanding of the concept and ideology of law: Based on the philosophical and theoretical background of what law is and why it exists, legal ideologies such as justice, freedom, and order are explored.  

Students learn the basic structure and concepts of major positive laws such as the Constitution, civil law, and criminal law, and based on this, they directly analyze simple cases to develop legal thinking. 

The course also covers career exploration of legal organizations. Students explore the roles and entry paths of various legal organizations, such as judges, prosecutors, and lawyers, and presents practical prospects for career paths that connect law majors. 

This course covers the concept of regression analysis. Students learn to perform statistical inferences in linear regressions and carry out regression analysis using data examples. The course examines the setting and suitability of regression models and model diagnosis. Simple linear regression, multilinear regression, variable selection, and nonlinear regression are included, and statistical package programs such as SAS are used. 

Topics include Simple Linear Regression, Simple Linear Regression, Multiple Linear Regression, Multiple LInear Regression, Regression Diagnostics, Regression Diagnostics, Qualitative Variables as Predictors, Transformation of Variables, Weighted Least Squares, The Problem of Correlated Errors, Analysis of Collinear Data, Variable Selection Procedures. 

This course covers basic theories and contemporary issues of Human Rights Law across international, national, and transnational dimensions. Important themes and questions in the fields are explored by closely examining cases from various jurisdictions and critically engaging with global academic literature. Active class participation, including one class presentation, is expected. This is a discussion-based seminar course, but a few lecture sessions may be provided as necessary.  

Topics include ideas of human rights, transnational approaches to human rights, human rights and state sovereignty, universality and particularity, non-citizens' rights and democracy, rights of social minorities, equality and discrimination, human rights in the new contexts of human existence. 

This course covers the structure and function of the ecosystem and the cycle of energy and matter through a combination of lectures and indoor and outdoor experiments. 

Topics include Development of concepts in ecosystem science,  Structure of terrestrial ecosystems, Carbon balance, Nutrient and water balance, Additional approaches, Energy, water, and carbon balance, Water use, Canopy system, Soil environment, Biological process in soils, NPP, Decomposition.