Business Administration

Creativity is an increasingly important skill for contemporary workers, and a key ingredient of organizations' ability to survive and thrive. As creativity is an important source of competitive advantage, organizations are increasingly seeking to foster it; yet, at the same time, organizations and society more broadly often end up stifling creativity in individuals, leading to a loss of confidence, talent, and good ideas. The objectives of this course are (1) to help students discover, develop, and protect your creative ability; and (2) to provide them with a richer understanding on how creativity can be enhanced and managed in a work setting. Students learn about the basic features of creativity and creative processes, both short-term and over longer time periods, and on how to nurture creativity in themselves and others, stimulating factors that enhance creativity and removing the barriers that impede it. The course looks at creativity in many domains, including business, science and technology, the arts, and day-to-day life more broadly. Classes are largely "hands-on", relying on exercises, class discussion, guest speakers, and case studies, as well as on lectures and readings. The course is structured in two parts. In the first part, students focus on themselves and acquire knowledge regarding (1) what creativity is, (2) how to build, feed, and stimulate creativity, and (3) the journey of an idea from inception to implementation. In the second part, students acquire knowledge on (1) how to manage creativity in organizations, (2) how to work effectively in creative teams, and (3) what does it mean to lead effectively for creativity. 

This course theoretically examines the macroscopic role that entrepreneurs and entrepreneurship play in the market economy and examines management theories about individual and organizational-level phenomena that affect entrepreneurship, for example via management case studies. The scope of this class is not a simple livelihood-type entrepreneurship, but opportunity-capturing entrepreneurship that creates new market value. Topics include History of the Startup Ecosystem in Korea, Entrepreneurship vs Management, Opportunity recognition, Numbers and Venture Capitalists, Business Model and Competitor Analysis, Consumer Behavior, Business Models Topology and Big Data, and more. 

This course focuses on aspects of managing and leading organizations. Students learn how to influence and motivate others to get cooperation for their own goals. Topics include negotiation, leading and managing teams, motivation, and personality. The course also explores the organizational systems that coordinate individual work to meet business objectives and the impact of technology (e.g., artificial intelligence) and new business models (e.g., gig economy) on work.  

This course covers the theory of marketing using the Internet and cultivates practical application skills. Students examine theories on Internet marketing and e-commerce, exploring the unique aspects and challenges inherent in marketing driven by the Internet. Students develop the ability to think critically and strategically about opportunities and issues that emerge in marketing driven by the Internet and to formulate valuable solutions.  

Students should be aware of the unstructured style of this course. No textbook is required, and only a handful of lecture slides are distributed. The class consists of a mixture of short lectures, student discussions of assigned materials, case discussions, team presentations, and active learning exercises. There are also class visits by service practitioners/experts in which they share insights.  

Pre-requisites: Marketing management (BUSS205) or equivalent courses; Statistical analysis: correlation, regression analysis. 

The course consists of three parts: financial accounting (for external reporting), management accounting (for internal decision making), and finance (to provide funding).
 

Pollution prevention solutions are attractive both to society in general and to industry but require knowledge in the fields of processes, products, and management in modern business organizations. The course explores solutions that use technical as well as managerial tools and methods. The course reviews the key aspects of process integrated environmental protection, including technical strategies to increase efficiency in water- energy- and material flows (exploring methods such as monitoring, maintenance, cleaner technology, process modification, on-site recycling, good housekeeping) and environmental management (including supply chain management and an introduction to current environmental management standards such as ISO 14000). Product related issues constitute a central part of the course looking into life cycle analysis, eco-design, and eco-labeling. The course also takes a wider perspective at industrial development and the engineer’s role and responsibility to work with industry to reduce environmental impacts. The course consists of lectures in combination with seminars, exercises, and a major assignment.

This course provides an introduction to the application of various forecasting techniques. It introduces quantitative methods and techniques for time series modeling, analysis, and forecasting. Emphasis is also put on the applications in economic and business related areas. Computing is an integral part of this course, therefore all students are expected to do data analysis, modeling, and forecasting with computer programming software. The focus of the course is to use past data to predict the future. The key concept is that there is an underlying process that gives rise to the data. Using statistical properties of that process, we can develop forecasts. Forecasting methodology is presented in a lecture format in the first part of each class meeting. The application, however, is the centerpiece of the presentation. In the second part of the class meeting, students work on in-class applications. The course starts start with simple models that are widely used in business and progresses to modern methods that are used by professional forecasters and economists. It studies basic components of time-series data, such as trend, seasonal, and cyclical components, as well as basic model specification techniques, such as moving average and auto regressions, used in the forecasting of time-series. All forecasting methods are illustrated with detailed real world applications designed to mimic typical forecasting situations. The course uses applications not simply to illustrate the methods but also drive home an important lesson, the limitations of forecasting, by presenting truly realistic examples in which not everything works perfectly. Examples of the applications include, but are not limited to, forecasting retail sales, hotel occupancy, fishery output, consumer loan requests, predicting expansion of fast food chain stores, modeling and forecasting macroeconomic activity indices such as Gross Domestic Product, unemployment and inflation, modeling development of a small open economy, forecasting New York Stock Exchange index and currency exchange rates and many other applications.

The course analyses accounting practices and processes from the point of view of investors. The course examines revenue recognition, tangible and intangible assets, the reporting of financial instruments, off-balance-sheet accounting, stock-based compensation, as well as, issues related to the differential approaches to measurement including historical cost and fair values. However, the exact composition of the topics may vary from year to year driven by the latest developments in financial reporting, standard-setting and related debates. The course enhances students’ understanding of contemporary issues in financial accounting. Throughout the course, taken-for-granted “wisdoms” are evaluated and challenged. 

This course focuses on the food industry and studies the success and failure cases of marketing and information management in fields such as agriculture, food service, bio industry, and distribution industry, and discusses how to apply them for the development of our food industry. Through case analysis, students will acquire various practical knowledge on how business activities in these industries are developed from the perspective of marketing and information management, and how to solve problems using methods and frameworks. Students who successfully complete this course will have basic skills as management consultants in the field of food and bio business. 

This course covers financial engineering theories including fixed-income securities, interest rate risks, modern portfolio theory, capital asset pricing model, and derivatives. Students explore and build hands-on experience for application of Al techniques such as dimension reduction, supervised/unsupervised learning, natural language processing, and deep reinforcement learning.