Yonsei University

This class provides fundamental understanding of energy conversion by use of power electronic devices. Students are expected to perform analysis and synthesis of power electronic systems after this course. Expected outcome includes: 1. Demonstrate the ability to analyze switching power converters in steady state using circuit averaging and determine DC voltages and currents 2. Be able to sketch current and voltage waveforms in a converter in steady state 3. Demonstrate the ability to size passive filtering components in converters such as inductors and capacitors to obtain a desired ripple performance 4. Demonstrate the ability to derive small-signal linearized models for switching converters 5. Demonstrate an understanding of the effects of negative feedback on converter operation 6. Demonstrate the ability to simulate switching converter using both switching models and averaged models via PSCPICE. 

Prerequisite: EEE2010 (Basic Circuit Theory) 

This course covers 600 years of Seoul history, the Chosun (1394-1897), Taehan Empire (1897-1919), and the Japanese Colonial Period (1910-1945). As of 2020, Seoul has a population of 9.97 million and is considered one of the top ten metropolitan economies in the world. By exploring the history of Seoul, students gain an understanding of the history of one of the oldest cities in the world and also the dynamic history of modern Korea.  By the end of the course students should be able to understand early modern Korean history and its significant events. In addition, students will understand how modern-day Seoul was established via its 600 year history.

This course provides upper-level undergraduate students an holistic overview of physical processes that develop alluvial, eolian, lake, delta, shoreline, and shallow-marine, tidal depositional systems. The focus of this class ranges from applications of the basic principles i.e., sediment transport and depositional mechanics to stratigraphy and basin interpretation in various depositional environments. Topics include Interpreting sedimentary successions, Ichnology and facies models, Siliciclastic facies models, Glacial deposits, Alluvial deposits, Eolian systems, Wave-and storm-dominated shoreline and shallow-marine systems, Tidal depositional systems, Deltas, Transgressive wave-dominated coasts, Deep-marine sediments and sedimentary systems, and Lakes.

Prerequisite: Sedimentary Petrology

This class is designed to equip students with the fundamental principles of statistics commonly used in communication research. This course is the first in a sequence of graduate methodology classes required of all students enrolled in the M.A. or Ph.D. program in Communication. Students acquire working familiarity with the basic principles and theory behind descriptive and inferential statistics. By the end of the semester students understand the difference between descriptive and inferential statistics, understand the logic of null hypothesis significance testing, and be able to conduct basic statistical analyses (including t-tests, a single-factor ANOVA, correlation, regression, and chi-square) using commonly used statistical software such as R. Students who complete this course are able to read and understand empirical research, analyze data from their research projects, and report results in accordance with the APA standards. Topics include Basic Concepts and Vocabulary, Introduction to R, Probability, Independence, and the Normal Distribution, Hypothesis Testing Concepts and Applications, Factorial ANOVA, Correlation & Chi-square, and Regression fundamentals.

This course introduces molecular mechanisms of cellular functions and applications. It covers biological membranes, protein structures, DNA, RNA, basic molecular-cellular biology techniques, genes, and intra cellular communication. Students will gain a deep comprehension of the molecular mechanisms that underpin vital life processes, enabling them to pursue further education in fields such as genetics, biotechnology, or scientific research.

This course is a philosophical exploration of the foundations of logic via the analysis of various theories and perspectives based on the writings of notable thinkers in this field such as Kant, Hegel, Heidegger, Stecherbatsky, and others.  

The course considers two main topics: 1) The epistemology of logic deals with the nature of knowledge and how knowledge is acquired, exploring how truth is reached through logical reasoning. The class presents the fundamental structure of traditional logical reasoning and allows students to examine how knowledge can be expanded. 2) From an ontological perspective, the course explores how the concepts and propositions addressed by logic relate to the existence of the real world. 

This course allows students to deepen their philosophical thinking and develop clear and creative reasoning skills. Through diverse methodologies of philosophical analysis, students will focus on cultivating their original thinking when addressing fundamental questions in logic. 

This course prepares students for the craft of publishing peer-reviewed scholarly articles. 

Topics include defining a scientifically systematic investigation, strategies on harnessing the resources of graduate schools, conventions about the nature of evidence and clues in research, choosing a research topic, crafting a hypothesis, and the role of good sense and judicious evaluation in relation to methodologies of investigation.  

Additionally, this course discusses document-based vs experiment-based research methodologies, the use of surveys, statistical research methodologies and case studies, how to create a well written research report, nuances of the publishing process, and the role of uniqueness in scientific research projects. 

This course surveys basic mathematical tools for deep learning research. The course includes 1) advanced probability theory, 2) information theory, and 3) optimization theory. Topics include introductions to learning theory, review on probability theory, multidimensional Gaussian variables, Gaussian processes, optimal linear estimation, parameter estimation, bias and variance of an estimator, introduction to information theory, entropy, mutual information, KL Divergence, applications of information theory, introduction to optimization, stochastic gradient descent and its convergence, and other optimization techniques and its convergence. 

Algebraic topology is concerned with the construction of algebraic invariants associated to topological spaces which serve to distinguish between them. This course focuses on the concept of the fundamental group of a topological space, and discusses its relation to other important notions in topology such as homotopy, covering space, etc.  

Topics include homotopy of paths, covering spaces, the fundamental group of the circle, retractions and fixed points, the Borsuk-Ulam theorem, deformation retracts and homotopy type, the Jordan curve theorem, imbedding graphs in the plane, the winding number of a simple closed curve, the Cauchy integral formula, the Seifert-van Kampen theorem, the fundamental group of a wedge of circles, adjoining a two-cell, the fundamental group of the torus and the dunce cap, the classification theorem, equivalence of covering spaces, and existence of covering spaces. 

Prerequisite: Topology 1 

This course provides students with theoretical tools, historical cases, and current issues needed to understand the discipline of International Studies. Surveying a wide range of issues that comprise the study of International Studies, course topics will include (neo)realist approaches, cooperation under anarchy, constructivist approaches, unpacking domestic politics, international security, international political economy, the concept of region, China vs. the US (the West), conflict and cooperation on the Korean peninsula, and unification of the two Koreas.