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 2학기 2026 Term 2
2 과목 coursesAI 비즈니스 아이디어 랩 AI Business Idea Lab
지역 문제와 산업 수요를 데이터로 이해하고, 생성형 AI(GPT·Claude·Gemini)와 바이브코딩 도구로 비즈니스 아이디어를 기초 프로토타입까지 구현하는 실전형 입문 과목이다. 전반부(1~7주)는 LLM의 작동 원리, 프롬프트 엔지니어링, XYZ 가설과 프리토타이핑, 데이터 리터러시를 집중 학습하고, 후반부(9~13주)는 지역 공공데이터 분석에서 웹앱 프로토타입·원페이저까지 개인 프로젝트를 매주 단계 발표와 피드백으로 완성한다. 산출물은 3학년 AI 비즈니스 데이터 애널리틱스와 4학년 캡스톤디자인으로 이어지며, 무료 티어만으로도 이수 가능하도록 운영한다. A hands-on introductory course where students understand local problems and industry needs through data, then turn business ideas into working prototypes using generative AI (GPT, Claude, Gemini) and vibe-coding tools. The first half covers how LLMs work, prompt engineering, XYZ hypotheses and pretotyping, and data literacy; the second half runs weekly staged presentations of an individual project — from analyzing local public data to shipping a web-app prototype and a one-pager. Outputs feed into 3rd-year AI Business Data Analytics and the 4th-year capstone. Designed to be completable on free AI tiers, with an optional one-month LLM subscription in the project phase.
강의계획서Syllabus경영정보와빅데이터 Management Information and Big Data
11·12·13 세 개 분반으로 운영되며 분반별 강의 내용과 평가는 동일하다. 디지털 시대 기업 경영의 핵심인 경영정보시스템과 데이터 기반 의사결정을 통합적으로 다룬다. AI·클라우드·블록체인 등 최신 정보기술이 비즈니스 모델과 경쟁우위에 미치는 영향을 분석하고, Zara·Netflix·Meta·카카오 등 국내외 기업의 실제 사례로 디지털 전환 전략을 학습한다. 생성형 AI, 플랫폼 비즈니스, 데이터 자산과 비즈니스 인텔리전스, 미디어·통신 산업의 변화 등 현재 가장 중요한 비즈니스 이슈를 심도 있게 다루며, 매주 온라인 퀴즈로 학습을 점검한다. Offered in three sections (11, 12, 13) with identical content and assessment. An integrated course on management information systems and data-driven decision-making in the digital era. Students analyze how AI, cloud, and blockchain reshape business models and competitive advantage, and study digital transformation through real cases — Zara, Netflix, Meta, Kakao and more. The course goes deep on today's most consequential business issues: generative AI, platform business, data assets and business intelligence, and the transformation of the media and telecom industries. Weekly online quizzes check progress.
강의계획서Syllabus2026년 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