Teaching

In a generative-AI and cloud-native environment, this project-based course takes students through the full data planning lifecycle from problem definition and pipeline design to dashboard demonstration and business model proposal.

This course develops practical digital competencies for AI-native business work. Students learn how to use generative AI tools and productivity software (Excel and PowerPoint) to solve business problems, build data-driven insights, and communicate decisions effectively.

This course introduces core machine learning concepts and practical generative AI applications for business. Students learn supervised/unsupervised learning, prompt engineering, RAG systems, and AI agents through hands-on projects using accessible cloud tools.

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.

Databases are a core technology of the modern digital world, serving as the foundation for all applications and services. This course is designed for students encountering databases for the first time, structured to make complex concepts easy and fun to learn. Students will learn database design methods through real-world examples and acquire skills in using modern database tools such as MySQL or Access.

This course aims to teach methods for handling unstructured data mining, which is at the core of big data. Since modern data environments utilize both structured and unstructured data together, students will review the basics of structured data analysis and expand to unstructured data mining. Students will learn various unstructured data analysis techniques including Python programming basics, web crawling for data collection, text mining, sentiment analysis, and social media analysis.

In response to the changing business environment in the era of digital transformation and generative AI, this course develops AI utilization capabilities and data-driven decision-making skills. Students will apply generative AI such as ChatGPT to business problem-solving, and learn data analysis and visualization techniques using Microsoft Excel and PowerPoint.