Korea, South

This course investigates the relationship between business and government and the role and influence of corporations as political actors in a globalized world. Corporations have emerged as political actors deeply involved in domestic and international policy-making processes, beyond being mere economic entities. This shifting role of the corporate requires the ability to theoretically and empirically analyze the dynamics of business-government relations, and a critical understanding of corporate status and responsibility in global governance is essential.  

Particularly in the current reality where corporate political influence is increasing in various aspects such as lobbying activities, social responsibility, and tax policy responses, systematically analyzing and understanding these phenomena is an important task in modern political science research.  

This course fosters in-depth understanding of corporate roles and influence in the global era; cultivation of analytical perspectives and research capabilities on corporate-government relations; developing critical and practical insights into corporate political activities; acquiring cutting-edge research methodologies and data analysis techniques; and application of useful theoretical and methodological foundations for students interested in corporate politics and global governance, thereby offering practical assistance for future research and practice in related fields.   

This course provides a theoretical examination of government regulations exploring their necessity in the context of market and government failures. It delves into the various types of regulations, how they function, and their impact across different sectors. Additionally, the course discusses the role of government-market interactions in national development. 

Students will gain insight into the foundations of regulatory frameworks and the government's function within them; comprehend the economic principles and theories that underpin government regulations; recognize various forms of market and government failures along with appropriate remedial actions; explore different categories of economic and social regulations, examining real-life cases both domestically and internationally; conduct in-depth analyses of regulatory instances, discerning their impacts and challenges based on these evaluations. 

This course covers recent statistical techniques in high dimensions and applies them to the analysis of real data. Students gain a broad understanding of various (non-convex) penalization techniques, dimensionality reduction, and more, with the goal of learning how to effectively summarize and interpret high-dimensional data and to systematically understand the challenges of analyzing data where the dimensionality of the data is comparable to or greater than the sample size.  

Topics include introduction to high-dimensional data, regression in high-dimensions, (non-convex) penalization methods in high-dimensions, regression in high-dimensional with real-data applications, matrix estimation with rank constraints, graphical models for high-dimensional data, spectral clustering in high-dimensions, principal component analysis in high-dimensions, and quantile regression in high-dimensions.   

This course provides an intermediate-level study of international financial markets and open economy macroeconomics. Topics include the foreign exchange market, theory of exchange rate determination, open economy macroeconomics, and international macroeconomic policy. Theory, empirical analysis and policy frameworks are studied to analyze current issues and topical problems of international financial economics. 

This course explores masterworks of short fiction from Nobel Prize winners in Literature from across the globe.  

The course covers the following works and authors: John Steinbeck’s classic American novella about migrant workers and class struggle during the Great Depression, Of Mice and Men; the magical realism of several short stories by Gabriel Garcia Marquez (e.g., A Very Old Man with Enormous Wings); the magical power of fiction in the service of telling gripping stories will be further illustrated by short stories from the Egyptian writer Naguib Mafouz, and the Chinese laureate Mo Yan. 

The course concludes with the most recent Nobel winner Han Kang’s work about resistance and transcendence, The Vegetarian. 

This course covers the physical, emotional, social, and cognitive changes that occur during adolescence and how these changes affect adolescent behavior and life. Drawing from developmental science, education, psychology, sociology, and other disciplines, this course analyzes adolescent development from an interdisciplinary perspective and explores effective ways to understand and interact with adolescents. 

After taking this course, students should be able to: describe and critically discuss major theories and research findings related to adolescent development, discover practical ways to solve problems related to adolescent development, and communicate effectively with youth. 

This course covers basic concepts of database management, database applications and database processing. Topics on various aspects of database programming, database design using the ER model, relational database design theory, application development will be covered. Query processing techniques will also be covered. Some other topics related to database processing may also be covered. 

This course introduces media law and relevant issues and largely focuses on the assumptions and normative values about communication and media upon which media law is based, rather than focusing on technical issues of law. This course examines the ways in which media law affects daily lives. Topics include Freedom of Expression and Its Limitations, Free Press and Defamation, Privacy, Obscenity and Image-Based Sexual Abuse, Remedies for Media-Related Harm, Copyright, AI Creation and Copyright, Regulation of Broadcasting and Telecommunications, Digital Platform Regulation, Advertising Regulation, and AI Policy and Governance. 

This course explores advanced mathematical problems and theoretical approaches in deep learning with a strong emphasis on privacy-related challenges. Key topics include: Differential privacy, with a focus on its application in federated learning and mechanisms to ensure robust privacy guarantees in distributed settings; Privacy in generative diffusion models, including the use of stochastic differential equations and innovative techniques to safeguard private data in generative processes; Privacy considerations in large language models (LLMs), examining methods for mitigating data leakage, adversarial attacks, and ensuring compliance with differential privacy principles in training and inference.

This course covers solving problems using algorithmic thinking with the concept of "object-oriented" programming. Students will learn to express algorithms in English, then translate them into the programming language using Python, C++. Topics include how to use loops, conditionals, functions, arrays, and most importantly "classes". These are the building blocks of programs, which can be used to create increasingly complex programs.

Prerequisite: CSI2100-Computer Programming