Yonsei University

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 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 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

This course introduces the core aspects of the criminal justice system, including criminology (the study of the causes of crime), policing, law enforcement, criminal investigation, decisions regarding arrest and detention, prosecution, trial, criminal justice policy, due process and human rights protection, and victimology. It is designed for undergraduate students and is taught using a case-method-like approach, incorporating commonly encountered real-life cases to help students better understand the entire criminal justice system at the undergraduate level. This course is suitable for undergraduate students who are exploring career paths in the police, courts, or prosecution, or those preparing for admission to law school. The goal of this course is to examine the meaning and justification of the concept of crime and its legal effect(punishment); to encourage students to think about the process and meaning of criminal justice and what is needed for a fair criminal justice system; and to help students to formulate their own standards for what punishment is appropriate for a crime through individual cases. 

This course covers the practice of medical nutrition therapy for various disease states, including gastrointestinal tract disorders, hepatobiliary and pancreatic disorders, obesity, cardiovascular disease, cancer, pulmonary disease, anemia, and genetic metabolic disorders. Upon completion of this course, students are able to 1. Understand the etiology, pathogenesis, and clinical manifestations of various diseases, 2. Identify the role of medical nutrition therapy in the prevention or treatment of selected diseases, and 3. Apply principles of medical nutrition therapy to the care of patients with selected diseases. 

This course explores contemporary Korean popular culture with an emphasis on drama and film, following the trajectory of the Korean wave (hallyu) with the framework of cultural translation. The course is designed to enable students to understand contested terrains in which the Korean new wave has been shaped: transnational cultural reception and national history, socio-historical, and political context of the Korean wave. Throughout the course students will learn how to analyze both of the Korean wave and their own reception of it as cultural translators.

This course introduces the discipline of international relations and provides students with the intellectual and analytical tools to understand how the world came to be how it is today, and where it might be headed in the decades to come. Topics include mainstream and critical perspectives on international relations, placing Western and Global South perspectives on the discipline into dialog with each other, global inequality, and the conflict in Israel/Palestine. 

This course covers the basic concepts and applications of linear optimization, convex optimization, and non-linear & combinatorial optimization. Topics include introduction to optimization, intro to convex optimization, linear programming (LP), least squares (LS), quadratic programming (QP), second-order cone programming (SOCP), semi-definite programming (SDP), duality: connecting convex optimization with non-convex optimization, strong/weak duality, gradient descent ascent (GDA), interior point method (IPM), Lagrange relaxation, applications: unsupervised learning (GAN, Wasserstein GAN), and applications: sparse/low-rank recovery (compressed sensing, matrix completion). 

Prerequisites: Calculus, Linear Algebra