강의Teaching
강의 과목Courses
미디어 정책, 데이터 분석, 경영정보시스템을 가르칩니다. 이론과 실습을 함께 다루며, 생성형 AI와 데이터 기반 의사결정 역량을 기르는 데 무게를 둡니다. I teach media policy, data analytics, and business information systems. My courses pair theory with hands-on practice, with an emphasis on generative AI and data-driven decision-making.
2026년 1학기 2026 Term 1
3 과목 courses빅데이터기획실무 Practices of Big Data Planning
생성형 AI·클라우드 환경에서 문제 정의, 데이터 파이프라인 설계, 시각화, 비즈니스 모델 제안까지 전 과정을 PBL 방식으로 수행하는 실무형 강의다. 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.
강의계획서Syllabus경영소프트웨어응용 Application of Business Software
생성형 AI 시대의 비즈니스 실무에 필요한 디지털 역량을 학습한다. 생성형 AI, 엑셀, 파워포인트를 활용해 문제를 해결하고 데이터 기반 인사이트를 도출하며 설득력 있게 커뮤니케이션하는 능력을 기른다. 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.
강의계획서Syllabus머신러닝이론과AI활용 Machine Learning Theory and AI Applications
머신러닝의 핵심 개념과 생성형 AI의 실무 활용을 학습한다. 지도/비지도 학습, 프롬프트 엔지니어링, RAG, AI Agent를 클라우드 기반 도구로 실습하며 경영 문제 해결 역량을 강화한다. 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.
강의계획서Syllabus2025년 2학기 2025 Term 2
1 과목 courses2025년 1학기 2025 Term 1
3 과목 coursesDatabase Applications Database Applications
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. 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.
강의계획서SyllabusUnstructured Data Mining Unstructured Data Mining
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. 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.
강의계획서SyllabusBusiness Software Applications Business Software Applications
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. 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.
강의계획서Syllabus