Korea, South

This course examines major topics in pattern recognition, particularly aspects of classification and decision. Students will gain effective pattern recognition tools with which to analyze the often vast amounts of diverse data in research applications. 

Topics include introduction to pattern recognition - machine perception - PR systems and design cycle, Bayesian decision theory for continuous features - Bayes Decision Rule - minimum-error-rate classification - classifiers, normal density, discriminant functions and discrete Bayesian decision theory - discriminant functions for the normal density - error probabilities and integrals - Bayes Decision Theory for discrete features, maximum-likelihood and Bayesian parameter estimation - Bayesian parameter estimation: Gaussian case - Bayesian parameter estimation: general theory - HMM, nonparametric techniques - density estimation - Parzen windows - nearest neighbor estimation (NN, k-NN) - fuzzy classification, linear discriminant functions i - linear discriminant functions and decision surfaces - generalized linear discriminant functions - minimizing the perceptron criterion function, relaxation procedures, linear discriminant functions ii - minimum square-error procedures - relation to Fishers linear discriminant - the Widrow-Hoff and Ho-Kashyap procedures - multicategory generalizations - ridge regression and its dual form [2] - classification error based method [2], model assessment and performance evaluation - bias, variance and model complexity [2] - model assessment and selection 2] - confusion matrix, error rates, and ROC [2] - statistical inference [2] - statistical errors [2], dimension reduction and feature extraction - principal component analysis - Fisher linear discriminant - nonlinear projections, support vector machines - introduction - SVM for pattern recognition [2] - linear support vector machines [2] - nonlinear support vector machines [2], multilayer neural networks - introduction - feedforward operation and classification - backpropagation algorithm - some issues in training neural networks - key ideas in classification, introduction to deep learning networks - convolutional neural networks (CNN) - autoencoders - deep belief networks - deep reinforcement learning - generative adversarial networks (GAN), algorithm-independent machine learning - introduction - bias and variance - resampling for classifier design - estimating and comparing classifiers - combining classifiers, unsupervised learning and clustering - mixture densities and identifiability - maximum-likelihood estimates - application to normal mixtures. 

Prerequisites: Linear Algebra, Probability, MATLAB, Python, or C-Programming Skills 

This course covers basic knowledge of modern biology that students studying natural sciences must have with an emphasis on life phenomena from a molecular interpretation. 

Topics include hormones, sensory organs, integration and coordination of the nervous system, movement, classification of organisms, ecology, and behavior. 

This course encompasses analyses of the psychological impact of media content and presentation. The courses provides an understanding of how individuals process media contents as well as how the media affects individuals’ knowledge, attitudes, and behaviors. A variety of topics such as the psychological processing of information, media violence, sexual content, stereotyping, and the effects of new communication technologies are covered. 

This course covers the mechanics of rigid and deformable solids in equilibrium and is a continuation of the material introduced in Solid Mechanics 1. Students will learn how to apply fundamental physical considerations which govern the mechanics of solids in equilibrium to solve any engineering problems such as beam deflection, torsion, buckling etc. Topics include: Review from Solid Mechanics l; transverse shear; combined loading; stress transformation; strain transformation; deflection of beams and shafts; buckling of columns; energy methods. 

This course provides an in-depth examination of the intersection between trade law and diplomacy in the context of international trade relations. Students will gain an understanding of real-world trade issues and will investigate the role of diplomacy in trade relations as well as the practice of trade laws focusing on the World Trade Organization and its dispute settlement procedure. 

The course provides background case analysis of the previous WTO disputes and covers current and emerging trade issues such as US-China trade dispute, Indo-Pacific Economic Framework, Tech Diplomacy, and AI-related trade issues.  

Professor Sangsoo Yoon was a career diplomat working for the Korean Foreign Ministry and his previous post was Consul General of the Republic of Korea in San Francisco, USA. During his diplomatic career, Professor Yoon has been heavily involved in multilateral trade negotiation in the World Trade Organization and has unique expertise in WTO dispute settlement procedures.  Professor Yoon will share his first-hand knowledge on trade law and diplomacy and foster dialogue on current trade-related diplomatic issues. 

This course explores the interplay of parody, rewriting, and intertextuality in eighteenth-century British fiction and will examine how authors of the period and beyond engage with each other's works and with broader cultural contexts and norms. Through close reading, analysis, and discussion students will gain an understanding of the evolution of the novel form and its relationship to other forms, texts, and contexts.

This class is an intermediate writing course tailored to exchange students. The goal of this course is to enhance intermediate-level Korean writing communication skills by experiencing Korean writing communication in various contexts and genres. To this end, this course deals with exchange students' school life, making various friends, exploring Korean life, their interests, situations where exchange students are likely to encounter, and their careers after graduation.

This course covers the techniques and theories of motion graphics. Motion graphics in a broad sense refers to the entire visual media that encompasses both live-action films and animations. However, in a general context, motion graphics can be defined as a video that has a short running time, conveys a message effectively, and emphasizes visual style rather than narrative. 

Students will learn various theories and skills needed to create a motion graphic; critique various motion graphic videos; and create animation using movie clips, images, text and special effects then learn how to add sound and master it for the final media project. 

This course introduces students to English poetry of the seventeenth and eighteenth centuries. Poetry written during this period tends to be formal and stylized as well as public and political in content. Students will learn how to analyze the formal elements of poetry and to identify various poetic genres including the sonnet, epic/mock-epic, pastoral/georgic, and the elegy. The course will address the following questions: How does poetic form communicate meaning? Why do certain poetic forms prevail over others in given historical periods? What kinds of changes do we see in poetic authorship and readership in the seventeenth and eighteenth centuries? How do poets engage in conversations with one another? We will begin with shorter poems, progress to longer selections from Milton and Pope, and end with abolition poetry and poems about animals. 

This course explores the basics of opto-electronics and photonics, which has many applications areas in information and communication technologies. By the end of the semester, students should have basic knowledge of (1) what light is, (2) how the basic property of light can be modeled, and (3) how light can be used for various applications. Topics include basics of electromagnetism, maxwell's equations, plane-wave solutions, polarization, EM waves in conductor, total internal reflection, interference, light incident on conductors, light incident on dielectric interface, multiple dielectric interface, interferometers, diffraction, metallic waveguides, dielectric waveguides, 2-D dielectric waveguides, optical fiber, waveguide devices, photons, interaction between light and matter, optical amplifiers, semiconductors, semiconductor lasers, single mode lasers, and photodetectors.

Prerequisite: Basic knowledge in electromagnetism