Management Information Systems and Big Data
Course Code 650021
Semester 2025-2
Schedule Mon1/Mon2/Wed3
Credits 3/3
Year Year 2
Department 경영학
Course Description
This course comprehensively covers management information systems and big data analysis, which are central to the Fourth Industrial Revolution. It analyzes the impact of cutting-edge information technologies (AI, cloud, blockchain) on business, and examines digital transformation strategies through real cases from Korean and global companies. Students will learn about the most critical business issues today—generative AI, platform business, and data-driven decision-making—through case discussions and hands-on practice.
Learning Objectives
- Understand and utilize the strategic role of management information systems in the digital age
- Acquire big data analysis techniques and derive business insights
- Propose business applications of emerging technologies such as AI, cloud, and blockchain
- Design platform business models and analyze network effects
- Develop digital transformation strategies and propose change management approaches
- Understand data-driven decision-making processes and apply them in practice
- Recognize ethical issues and the importance of cybersecurity in the AI era
Evaluation
Midterm
30%
Final
30%
Individual
10%
Project
20%
Attendance
10%
Weekly Schedule
| Week | Topic | Details |
|---|---|---|
| 1 | Introduction to Management Information Systems in the Digital Age | MIS concepts, business impact of digital transformation |
| 2 | Big Data and Business Intelligence | Database fundamentals, big data analytics concepts |
| 3 | Enterprise Systems and Integration | ERP, CRM, SCM, value of system integration |
| 4 | Platform Economy and Network Effects | Platform business models, two-sided market analysis |
| 5 | Cloud Computing and Digital Infrastructure | Cloud service models, migration strategies |
| 6 | Data Visualization and Analysis | BI tool utilization, dashboard design |
| 7 | Generative AI and Business Applications | AI/ML fundamentals, corporate AI adoption strategies |
| 8 | Midterm Exam | |
| 9 | AI Governance and Ethics | AI bias and fairness, privacy protection |
| 10 | Cybersecurity and Risk Management | Security threats in the AI era, zero trust |
| 11 | Blockchain and Distributed Technologies | Blockchain principles, enterprise applications |
| 12 | Metaverse and Future Technologies | VR/AR business applications, quantum computing outlook |
| 13 | Sustainable IT and ESG | Green computing, environmental impact of IT |
| 14 | Team Project Presentations | Final project presentations and evaluation |
Textbook
Information Systems: A Manager's Guide to Harnessing Technology (v10.1)
FlatWorld Knowledge, 2025