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  • 학생들로 하여금 조직과 그 구성원들에 대한 기본적인 이론을 이해시키기 위한 교과목으로 주요 내용은 두 가지로 나뉜다. 첫 번째는 조직 내 개인과 집단에 관련된 주제들을 주로 다루며 동기(채용, 교육, 평가, 보상), 직무설계, 직무개조, 집단행동 등을 포함한다. 두 번째는 조직 구조, 과정(의사소통, 의사결정), 리더십 및 조직 개발 등과 같은 조직관리의 측면을 다룬다.
  • This course provides an overview of strategic approach for business modeling. A s olid business model would be an important strategic map which enables business manager to steer his/her firm and make money in an uncertain business environment. This course will discuss a firm’s framework for exploring how to formulate and execute a profitable model by building and transforming firm’s resources and capabilities into products or services. Its discussion will cover opportunity recognition, strategic positioning, business design, revenue sources, cost control, pricing, and financing, etc. Related analytical tools will be studied in class. Students will be asked to draft their own business model through term project.
  • This course is primarily for students who had already taken an introductory economics course. The objective of the course is to get students familiarized with microeconomic concepts, problems and policies. The course deals with consumer behavior, firm behavior, market equilibrium, and welfare.
  • Economists as scientists observe various social phenomena carefully and from which they attempt to find general rules. Economists set up theories, which are abstract explanations on the causality existing in social phenomena, and test their validity with data collected. After finding general rules they finally predict what will happen in the economy. Microeconomics teaches how the economy works at micro level; put differently, microeconomics is a field of economics that studies consumer and firm behaviors scientifically. Consumers and firms make decisions to accomplish their goals under constraints. More specifically, microeconomics studies the ways to make better decisions (choices) when resources such as budget, time, information, clean water, and so on are limited. This course is composed of three parts: consumer theory, firm theory, and externality. Students will study various topics intuitively rather than mathematically, and through the semester you will have opportunities to expose yourselves to topics associated with information and telecommunication industry. After taking this class successfully, you will have an ability to analyze and discuss issues of real economy based on what you’ve learned in this course.
  • This course will address a variety of issues on managerial decision making under various IT business environments. Decision Science/Management Science (DS/MS) is a discipline that attempts to aid managerial decision making by applying a scientific approach to managerial problems that involve quantitative factors. Variety of DS/MS methodologies and techniques with affluent realistic case studies will be presented throughout the course. Actually, main focus and objective of this course are on conveying what an enlightened future manager needs to know about DS/MS.

    Upon completion of the course, the MBA candidate should be able to:

    ü  Gain an appreciation for the relevance and power of DS/MS

    ü  Recognize when DS/MS can be fruitfully applied (area of application).

    ü  Learn how to apply the major techniques of DS/MS to analyze variety of managerial problems.

    ü  Develop an understanding of how to interpret the results of DS/MS study.

  • This course discusses some statistical analysis tools in undergraduate levels of business and economics. This course assumes that students have taken an introductory statistics course. The course develops methods for analyzing statistical relationships. Techniques studied in the course are useful for a variety of business applications in accounting, finance, marketing, production and others areas. The course emphasizes formulating models and using them for decision-making prediction. Topics include regression analysis, analysis of variance, goodness-of-fit test, time series analysis, sampling methods, some statistical decision theory, and nonparametric. And some multivariate techniques can be discussed, if time permits. The course involves extensive hands-on work with SPSS. For all the issues, both theoretical and practical aspects through case studies will be emphasized. After completing this course, students are expected to make practical use of modern data analysis, and appreciate the need for, and limitations of, real world data.
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