경영과학부

This course provides theoretical backgrounds and practical tools for effective management of organization and for improving leadership capability. The main topics include personality, motivation, leadership and team management, organizational design and culture, and organizational change, in both micro and macro perspectives. The purpose of this course is to help prepare students to assume increasingly responsible leadership roles in their personal, professional, and academic lives. As such, the course focuses not only on significant theories of leadership and their applicability to leaders of the past and present, but also includes substantial hands-on, experiential and learning opportunities in which leadership will be put into action.

This course introduces business and social applications of information technologies (IT). The main focus of the course is on introducing managerial insights into the strategic use of IT. Students will develop familiarity with the principles of information systems through the analysis of real-world business cases. At the end of the semester, students will be expected to understand technical and strategic foundations for the effective use of information systems in organizations and society

Organizational behavior is about the study and application of knowledge about how individual or group of people acts within organization. This course introduces the basic concepts, theories, models, and cases of behavioral phenomena such as personality, learning, motivation, group process, leadership, organization design and culture, and organizational change.

Companies compete in the international markets with the globalized of world economy. This course in International Business enables students to be equipped with the ability to analyze global issues in economics and to cope well with the rapidly changing international business environment. With the combination of theories and realistic international business cases, students are prepared to understand and deal effectively with the international business issues.

This course is an introduction to the theory and application of contemporary marketing. Marketing topics covered include customer needs, company skills, competition, collaborators, and context in marketing and product development(5Cs) and product, price, place, and, promotion (4Ps). The course combines cases, discussions, and theories to provide a mix of integrating concepts and hands-on problem solving.

Financial Accounting examines basic concepts of accounting and provides a basic framework to understand the financial statement in users’ point of view. This course also provides overview of basic financial statements such as balance sheets, income statement and cash flow statement for financial and accounting decision making.

This course covers the basic concepts and foundations for the management decision-making using accounting information and cost and benefit analysis. The topics include cost structure and cost concepts, strategic decision making, design of various costing systems, and performance measurement systems.

This course introduces various issues in financial management. It provides the student with an introduction to the problems faced by corporate financial managers and investment bankers, and suggests methods for resolving the financial problems including capital structure and capital budgeting problems.

Operations management is basically concerned with the production of quality goods and services, and how to make efficient and effective business operations. It involves subjects in the analysis of production planning, inventory and quality control, cost and performance analysis, and supply chain management.

The main goal of this course is to understand statistical analysis of data and to apply to various management issues in forecasting and planning. The topics include the basic concept of probability and statistics with the application of practical cases.

This course is an introductory course on the theory of computation. The topics covered in this course includes: mathematical modelling of computing mechanisms (automatons), formal languages, computability, and basic complexity theory.

The purpose of this course is to provide undergraduate learners with a basic understanding of the concept, principles and techniques of human resource management. Content to be explored includes, but is not limited to, human resource planning and strategy, staffing (recruiting and selection), training, performance appraisal, compensation, employee relations, diversity, legal issues and contemporary issues.

This course is designed to understand how companies can strategically manage human resources as a source of competitive advantage. This calls for a departure from a traditional view of HR as an administrative function to a view of HR as a strategic partner. Throughout this course, students will be able to apply the knowledge about strategic management to the functions and roles of human resource management. By integrating organizational strategy and HR practices, students can learn how the system of human resource management can be designed and implemented with the clear goal of contributing to the formulation and implementation of the organization’s competitive strategy.

This course examines business ethics from both an organizational and managerial perspective. Students will examine the goal of business organizations, as well as individual conduct in business settings. Ethical reasoning and ethical leadership will guide students through debates on various topics such as: creating an ethical climate in an organization, honesty, affirmative action, environmental ethics, ethics in advertising and sales, financial management, personnel management, and the role of character and virtues in effective leadership.

Macroeconomics is concerned with economic aggregates such as GDP, inflation and unemployment. This course provides an overview of macroeconomic issues such as the determination of output, employment, interest rates, and inflation. Policy issues and applications of basic models will be discussed with special reference to monetary and fiscal policy.

This course focuses on the application of statistical methods to the testing and estimation of economic relationships. After developing the theoretical constructs of classical least squares, students will learn how to treat common problems encountered when applying the ordinary least squares approach, including serial correlation, heteroscedasticity and multicollinearity.

This course discusses topics in International Trade and International Macroeconomics. Theoretical analyses will be presented in lecture as a basis for discussions on various policy issues. The topics will include patterns of international trade and production; gains from trade; tariffs and other impediments to trade; foreign exchange markets; exchange rate determination theories; balance of payments; capital flows; financial crises; monetary/fiscal policy coordination in a global economy.

This course deals with issues related to the purchase and consumption by consumers, and how marketing managers make effective decisions using this information. It also focuses on understanding and predicting consumer behavior based on theories of consumer psychology and cognitive theory.

This course introduces basic concepts and theories of marketing management of international business. It focuses on international marketing environment and opportunities, global marketing strategy, and overcoming the barriers in different economic environments.

The goal of this course is to understand how to create a comprehensive brand architecture that will provide strategic direction and develop brand building programs. Relevant theories, models, and tools for the making of brand decisions will be discussed.

This course provides a strategic framework for managing technologies in businesses. As a basis, this course focuses on how technologies, technological structures, and systems affect organizations and the behaviors of their members. Then, this course aims to help students understand the complex co-evolution of technological innovation and identify new opportunities, business ecosystems, and decision-making execution within the business.

This course is an introduction to the key aspects of operations research methodology. Students will model and solve a variety of problems using deterministic and stochastic operations research techniques. Topics include basic theory, modeling, the use of computer tools, and interpreting results.

In this course, we study and discuss a variety of data mining techniques in the context of business decision making. Rather than focusing on specific equations and algorithms of data mining techniques, this course will look more at basic concepts of data mining techniques and their applications in decision making. Topics include: data visualization, dimension reduction, k-nearest neighbors, association rule mining, cluster analysis, decision tree, neural nets, and others. Students are expected to develop independent analytical capabilities including identification of opportunities for better decision making and implementation of rigorous methodologies.

This course intends to introduce students to the concept and practice of e-business. The principal topics include the internet and mobile e-business, e-business models, architecture of web systems, and communications and networking.

This is an introductory course that provides an overview of how supply chain management (SCM) serves as a central concept to coordinate relationships between supply chain members and provides a path to competitive advantage in the marketplace. This course also provides an explanation of how logistics management supports effective supply chain management. In other words, the purpose of this course is to familiarize students with key SCM and logistics concepts and terminology.

This course is designed to discuss contemporary topics in General Management. Actual topics and cases will be selected by the instructor and may vary from term to term.

This course is designed to discuss contemporary topics in General Management. Actual topics and cases will be selected by the instructor and may vary from term to term.

This course is designed to discuss contemporary topics in General Management. Actual topics and cases will be selected by the instructor and may vary from term to term.

This course offers a study of the application of scientific methods to the definition and solution of marketing problems with attention to research design, sampling theory, methods of data collection and the use of statistical techniques in the data analysis. It concerns the use of marketing research as an aid in making marketing decisions. In particular, this course addresses how the information used to make marketing decisions is gathered and analyzed. Accordingly, this course is appropriate for both prospective users of research results and prospective marketing researchers.

An analysis of marketing communications from business, social, economic, and political perspectives, this course provides an in-depth discussion of advertising and promotion as key tools in marketing new and established products. This course examines advertising planning and management, research, creative development, media selection, direct response, and advertising agencies. Emphasis is on new media

Digital has revolutionized the interactions between companies and customers using digital and online based technologies. Throughout this course, students learn how to create, communicate, deliver, and exchange market offerings to business partners and customers using online advertising, social media, and other digital tools.

In this course, we study and disc This course will help you answer the following questions: What is artificial intelligence (AI)? What does it mean for business? And how can most company take advantage of it? Recent development of Artificial Intelligence technologies opens new ways of making sens of new opportunities, developing timely and effective strategies, and analyzing better management of operations and marketing in the business landscape. In this course, we study and discuss advanced deep learning techniques and their applications.

This course covers current issues and theories on the management of innovation and change in new and existing organizations. It prepares students to understand practical business cases.

This course is designed to help students understand the challenges and learn how to approach the process of creating and managing a new venture, which includes recognizing and analyzing an opportunity, mobilizing resources, financing a new venture, and managing growth. To achieve this goal, the course will introduce important concepts and cover a number of cases involving different entrepreneurial challenges and settings. It also serves as the capstone course for those pursing a degree in business management and entrepreneurship.

This course is designed for students who aspire to pursue quantitative research on diverse aspects of technological innovation. The course aims to enhance students’ understanding about technological innovation in contemporary industries and introduces data-analytic tools to conduct hands-on investigations. By taking this course students will learn how to do research about specific questions in the field of strategic management of technological innovation by conducting quantitative analysis using technology data.

This course is intended for students who wish to pursue a discipline in greater depth than possible through the regular curriculum. The course is designed to provide the student with an opportunity to expand current knowledge, develop or enhance necessary skills in a specific area of interest related to management.

This course introduces the basic concepts, process, and various skills and techniques of strategy formulation, implementation and evaluation. Practical cases of Korean and American corporations will be analyzed and discussed.

The course in Investment Analysis introduces the students with conceptual framework in the theory and practice of financial investment decisions. The topics include portfolio theory, Capital Asset Pricing Model, market efficiency, and derivative securities pricing.

This course covers some of the main topics in futures, options and other derivative securities. It provides a working knowledge of how derivatives are analyzed, and covers the financial derivative markets, trading strategies and valuation issues involving options and futures/forwards.

This course deals with the financial issues of corporations and financial institutions in international markets. It covers foreign exchange markets, international stock and bond markets and other related issues in risk and returns.

This course is an elective course for students taking finance/accounting department in School of Business Administration. We will initially focus on the institutional features of corporate financing and governance. Then, course deals with the theory of corporate financing such as capital budgeting and capital structure under perfect market conditions. After establishing this basic framework, we will incorporate various market imperfections, such as, taxes, bankruptcy costs, agency costs, and asymmetric information, into the analysis. The course “Financial management” is a prerequisite for students who are taking this course on advanced financial management contents. This course aims at understanding market efficiency hypothesis, capital structure, dividend policy and working capital management, which are based on fundamental financial theories including the present value model, capital budgeting, portfolio theory, CAPM and cost of capital. Moreover, this course will provide a simple introduction to corporate financial analysis, financial planning and derivatives.

This course is an intensive study of the theories and practices of financial accounting. The primary goal of this course is to understand both current accounting standards and the conceptual framework that is the foundation of current accounting standards. Specifically, this course is designed to acquaint the student with current accounting theories and practices.

Financial Engineering is a cross-disciplinary field which covers mathematical and computational finance, statistics, and numerical methods that are useful for trading, hedging and investment decisions, as well as facilitating the risk management of those decisions.

This course introduces asset price models for explaining stochastic behavior of financial market prices such as equities, currencies, commodities, interest rates, and credits. This course covers what the fair prices of financial derivatives are and how to determine them by using mathematical methods, and also discusses major computational methods that are usually used in financial derivatives valuation. This course focuses on derivation of the Black-Scholes partial differential equation, and validation of various exotic option price with computer simulation with MATLAB.

This course is designed to introduce fixed income markets including money markets and bond markets. Students are going to understand the time value of money and the relation between price and yield of the bond. The derivatives products underlain by money or bond such as swaps or options will be introduced as well. Most of explanations will be applied to practical market situations.

This course is designed to study effective ways of managing financial risks from the perspective of corporations and financial institutions. Major topics include ALM(Asset liability management), VaR, interest rate risk management, credit risk management, and exchange risk management. Other topics include practical cases and statistical tools for risk management. Finally, this course deals with theories and recent advances in structured products, interest and credit-related derivatives as a tool for risk management. Students are required to have a solid understanding of basics of futures, options and swaps.

This course is an introductory level of market microstructure. Market microstructure is a sub-field of finance that is the study of trading mechanisms. Because most trading occurs during trading session and the market procedure and rules matter, this course deals with the trading protocols and the economic principle that shape them. Topics include how information is impouded in prices, avoidance of market failures, understanding market participants and the trading environment, market impact, market fragmentation and consolidation, high frequency trading, algorithm trading, exchanges, dark pools, ATS(Alternative Trading System), ECN(Electronic Communication Network) and regulations on the financial markets. Finally, this course also covers financial market regulations.

This course is how to finance and manage privately-held firms. Topics include private firm valuation issues, financing sources and methods, venture and private equity markets, and exit and outcomes for entrepreneurial and privately-held firms.

The primary objective of this course is to provide an understanding of the tools and concepts involved in project finance (PF). It grew in 1990s as a means of financing projects designed to help meet the enormous infrastructure needs that exists in the developed countries and especially in the emerging markets. Having this in your mind, my class consists of three parts. First of all, I am going to define/describe project financing and the circumstances in which it is most likely to be advantageous and move on to the risks and rewards among the parties involved in PF. I also explain how to identify the various risk associated with the PF and describe how to craft contractual arrangements to allocate project risks and the project’s economic rewards among the interested parties. In the second part, I deal with the financial issues; preparing a financing plan, performing discounted cash flow analysis, using the techniques of discounted CF analysis to evaluate a project’s profitability. The last part contains case studies1 that illustrate how the concepts discussed in the earlier chapters have been put into practice via several prominent projects.

This course provides a basic introduction to modern time series analysis. This course begin by covering characteristics of financial time series data, fundamental foundations of time series and then discuss their estimation and use for forecasting. Topics include stationarity vs non-stationarity, AR/MA/ARIMA, and ACF/PACF. We also cover some multivariate time series models such as vector autoregressive models(VAR) and volatility models such as ARCH/GARCH. Finally, we also discuss potential time series issues in financial economics; for e.g., Granger causality, cointegration problems, etc.

This course is designed to develop her/his own algorithm trading strategies for each student. The course starts from letting students understand the fundamental knowledges on financial trading and investing including market structure and regulations. Then students learn some trading strategies which can be applied to algorithm trading and how to valuate and back test these strategies. Students learn how they implement their algorithms to a system for automatic order by direct API to securities brokerages. At the end of semester, students are able to design their own strategies to implement them to simulated trading system which is supported by the securities brokerages.

The goal of this course is to develop skills essential to using financial information and accounting statements for capital market decisions. The course is designed to prepare students to interpret and analyze financial statements.

Explores critical issues facing accounting and financial managers in the current
business environment. Topics include: introduction to state-of-the-art managerial accounting practices, in-depth understanding of cost management, product and service costing methods, performance evaluation and managerial compensation systems. Global and ethical issues are examined. Written assignments, case studies and team discussions comprise much of classroom interaction.

This course provides students with working knowledge of data science for financial applications using the Python programming language. Finance researchers and professionals make decisions based on solid results estimated or computed from various types of data. The questions are that how to handle the data without causing the bias or estimated errors, how to define variables, how to transform the data into appropriate variables. All these questions are quite complex and challenged. Although the textbook example is quite simple and neat, the real-world data are not. Implementing finance models from real world data is not easy. Students will investigate a variety of empirical questions from different areas within finance including portfolio optimization, corporate finance, market microstructure, and derivatives.

This course will cover machine-learning and textual analysis in finance. Students will learn how to construct an optimal portfolio based on AI-techniques. Students are expected to understand fundamentals of financial management and investments proior to take this course.