Yonsei University

This course explores the significant achievements of behavioral economics, focusing on theoretical and empirical evidence. Unlike traditional economics, which assumes human rationality and standard preferences to understand decision-making and behavioral changes, behavioral economics expands human decision-making models based on new insights from psychology and other fields and introduces the concept of policy design and evaluation based upon insights into human behavioral change. Students will gain a thorough understanding of the fundamental concepts of behavioral economics; be able to critically evaluate the traditional economic theories on human rationality; and be able to compare and analyze the usefulness and policy implications of behavioral economics with those of traditional economics. 

Prerequisites: Microeconomics, Basic Calculus 

This course explores the transformative role of new information technologies (IT) and artificial intelligence (AI) in reshaping businesses. Its goal is to equip students with an in-depth understanding of essential economic principles that are crucial for operating and excelling in IT-enabled and/or AI-driven enterprises, while also highlighting the economic ramifications of IT and AI at various levels - including individual firms, broader markets, and society as a whole.  

Students will delve into competitive market analysis and examine IT-specific economic challenges related to pricing, bundling, information asymmetry, and uncertainty. In addition, the module covers AI-centric topics such as automated decision-making and the broader economic effects of AI technologies. Key economic issues associated with IT (such as competitive markets, pricing strategies, and bundling) and foundational concepts like user lock-in, switching costs, and the network effect are discussed. Participants also gain insights into the workings of AI-enabled businesses and address AI-specific economic concerns, including automated decisions, algorithmic bias, and the influence of AI technologies on the job market. 

This course examines linguistic phenomena relating to the structure of language and how those phenomena are formulated and explained under the framework of so-called Generative Grammar.  

Course objectives include: i) to understand what is meant by the structure of language, ii) to examine linguistic facts discerned to be structural, iii) to appreciate conceptual/theoretical necessities to account for them (e.g., diverse developments from Generative to Minimalism), iv) to have a grasp of the idea of universal grammar. 

Topics include linguistics and syntax, ingredients of structure: linearity and hierarchy, syntactic categories, words to phrases, two kinds of merge: substitution and adjunction (external or internal), introduction to P-markers, various structural relations (Binding Theory), complement vs. adjunct (and specifier), covert elements: trace vs. empty categories (PRO/pro), movement and interpretation: 1. grammatical functions 2. thematic roles 3. displacement (overt movement vs. covert movement like QR), and transformation: substitution and ellipsis. 

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.