■  AI-FinTech Business Model (AI-핀테크 비즈니스 모델)

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AI의 적용에 따라 비즈니스에 많은 변화를 가져오게된다. 비즈니스 모델의 분석/평가/개발은 기업 관리 측면에서 중요하며, 비즈니스 모델 평가는 투자 결정 및 관리 측면에서도 중요하다. 본 과목에서는 AI가 적용되어 비즈니스 모델에 어떠한 변화를 가져오는지 살펴보며, 특히 FinTech와 연관하여  비즈니스 모델의 분석, 평가, 및 개발에 걸쳐 그 방법론 및 다양한 사례를 다룬다. 

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■  DATA SCIENCE FOR BUSINESS (비즈니스를 위한 데이터 과학)

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빅데이터 분석이 다양한 비즈니스 문제 해결에 적용 되어왔다. 본 수업에서는 빅데이터 분석의 핵심인 데이터 과학(Data Science)을 비즈니스 문제 해결에 어떻게 적용할 수 있을지 학습한다. 이러한 데이터 과학은 기술부문 빅데이터 분석 전문가 뿐만 아니라 비즈니스부문 관리자들도 비즈니스 문제 해결 및 성과 증진을 위해 필요한 지식이라 할 수 있다. 특히 빅데이터 프로젝트는 기술 전문가와 비즈니스 전문가의 협업이 중요하므로, 비즈니스 전문가 또는 관리자도 빅데이터 분석에 대한 지식이 필수적이다. 이 수업은 기업체 비즈니스부문 관리자 관점에서 데이터 과학을 담당 업무에 어떻게 적용할 수 있을지를 학습하는데 초점을 맞추고 있다. 특히 다음과 같은 핵심 내용들을 수업에서 다룬다.

1) 비즈니스 문제와 데이터 과학 접근방식

2) 데이터 과학 작업과 주요 기법들

3) 데이터 분석에 기반을 둔 결정분석적 사고

 

 

■  DATA MINING AND BUSINESS INTELLIGENCE

 

This class is an introduction to the fundamental concepts of data science. It is the intro class for the business big data program at the graduate school of information. This course is about how to think about extracting information from data in order to solve problems better. We will examine how data mining and data analysis technologies can be used to improve decision-making.  We will study the fundamental principles and techniques of data mining, and we will examine real-world examples and cases to place data-mining techniques in context, to develop data-analytic thinking, and to illustrate that proper application is as much an art as it is a science.

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■  QUANTATIVE DATA ANALYSIS FOR RESEARCH(정량적 데이터분석과 연구)
 

This module will go in-depth into information collection and analysis required for quantitative empirical research. It will cover sampling, regression, instrument validation, model building, analysis of variance, factor analysis, structural equation modeling, and other testing methods. The course will be practice-oriented, whereby students are expected to execute quantitative data analysis and testing. Students will learn how to use software tools (SPSS, PLS, and LISREL) for the testing. They will be required to summarize their analysis and testing results in a report.
 

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■  DIGITAL BUSINESS MODELS

 

This course aims to introduce digital business models. Digital business models can be applicable to not only online companies but also offline companies including online business components. Upon successful completion of this module, students should be able to:

1) Understand the competitive environment that digital business firms face;

2) Be aware of the various business models that business firms can adopt in order to survive and succeed in the competitive environment;

3) Critically evaluate the attractiveness and effectiveness of an online business venture; and

4) Develop a competitive strategy by which business firms can gain and hold advantage over rivals.

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■  SERVICE SYSTEMS AND MANAGEMENT

Services account for about 70% of GNP in most developed economies. Service business is thus an important business in developed countries. Service management presents unique challenges that reflect fundamental differences between products and services. For instances, services involve greater intangibility, variability, consumer participation and so on. These give rise to singular problems in service design, delivery and control.

This course is designed to introduce students to service systems (customer, service provider, and information systems) and service management in a variety of enterprise and industry settings. Students will learn about the management of service systems operations and their design. The course will also cover service systems innovation, performance, measurement, and quality assurance. It will also discuss how IT-enabled services impact an organization and the external environment.


■  BUSINESS DECISION MAKING: SYSTEM DYNAMICS
 

This course aims to introduce System Dynamics and its application for IT-driven organizational change and management with following goals:

1) To analyze and understand business problems and issues from the systems thinking perspective

2) To formulate and test business problems from the system dynamics perspective

3) To support management and the relevant decision making

This course covers following topics:

1) Understanding business problems including IT policies in terms of system dynamics

2) Conceptualization and analysis of business problem and IT policy-related phenomenon in terms of system dynamics

3) Formulation and Simulation testing of business problem

3) Application of System Dynamics for management support

After completing this course, students are expected to have following knowledge and abilities:

1) Students would be able to analyze business problem including the target domain of IT policy in terms of system dynamics

2) Students would be able to understand the structure of target system

(e.g., business problem, application domain of IT policy)

3) Students would be able to identity key causes of focal problem

4) Students would be able to identify and compare decision alternatives

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■  SPECIAL TOPICS IN IS RESEARCH

 

본 수업은 정보시스템 관련 분야의 최신 연구 주제와 동향을 분석하고 토의하여 (석)박사과정 학생들의 연구 및 논문 작성 능력을 배양하고자 한다. 본 강의의 주요 내용은 주요 정보시스템 관련 분야 저널과 (예, MIS Quarterly, Information Systems Research, Journal of the AIS, Journal of MIS, Journal of Business Research, Computers in Human Behavior 등) 학술대회 논문집의 (예, International Conference on Information Systems 등) 논문들을 중심으로 이루어진다. 특히 주요 연구 주제와 최근 경향을 논의하고 신규 연구주제 발굴을 토의한다.