Yonsei University

This course provides a mathematical background essential for understanding the theory behind various machine learning techniques. After this course, students are able to design and execute machine learning algorithms such as regression analysis, classification with support vector machine, feedforward neural network, principal component analysis, k-means clustering, etc. without relying on pre-programmed packages. Topics of this course include (1) linear algebra (basic and advanced), (2) probability and information theory, (3) analytical geometry, (4) calculus (basic and advanced), (5) optimization, (6) machine learning applications: distance-based classifiers, Naive Bayes classifier, linear & logistic regression, neural network, SVM, PCA, k-means clustering, etc.

This class reviews various styles of vocal works. Singing is a core component of the course. 

This is an intermediate level Chinese language course, focusing on reading comprehension. This course strengthens modern Chinese reading ability through different texts in a variety of topics that include advanced Chinese vocabulary and expression. It examines newspapers and Chinese literature in order to have a better understanding of sentence structure, different types of expressions, and comprehension ability. 

The purpose of this course is to provide students with the basic concepts and theories of human behavior in an organization. This course deals with how people in an organization perceive, feel, and behave as individuals, and in the process of interacting with others in the organization. Lectures are largely divided into three parts: individual level, group level, and organizational level. (1) At the individual level, it deals with personality, values, attitudes, perceptions, and motivations; (2) at the group level, it deals with groups, teams, communications, conflicts, and leadership, which are collective behaviors formed by the interactions of individuals in the organization. (3) At the organizational level, we will examine organizational structure, organizational culture, etc.

This course introduces the core methods in econometrics, which can be applied to answer a variety of quantitative questions from the real world of business and government policy. It discusses the fundamentals of least square models, linear and nonlinear regression with multiple regressors, fixed effect models, longitudinal/panel data models, instrumental variable methods, analysis of random experiments, and time series data regression. Applications of Software such as STATA and R are demonstrated.

This course provides an introduction to American government, covering fundamentals of the U.S. government, such as foundations, institutions, and organizations. Beginning with its Constitutional foundations, the course examines the system of federalism, civil rights, and liberties. It also explores the interactions among the three separate branches of government and discusses the U.S. election system as well as how the electorate responds to and fits into the American system of government. The course also studies the role of informal institutions such as media, political parties, and interest groups.