3. 강의목표
This course introduces the end-to-end process of modern data engineering. Students will learn data collection, preprocessing, and database management with SQL, NoSQL, and BigQuery. The course then covers large-scale processing and automation using Hadoop, Spark, and Airflow. Students will also explore applications of large language models, including retrieval-augmented generation, multimodal inputs, and LangChain, as well as system monitoring, streaming data, and automated reporting. Through a team-based project, they will design and implement a pipeline that connects raw data to intelligent decision-making support.
4. 강의선수/수강필수사항
Students are expected to have completed the following courses, or possess equivalent knowledge:
- IMEN574 Programming for Data Science
5. 성적평가
| 중간고사 |
기말고사 |
출석 |
과제 |
프로젝트 |
발표/토론 |
실험/실습 |
퀴즈 |
기타 |
계 |
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8. 강의진도계획
https://docs.google.com/spreadsheets/d/1oPqM5g4XYwU_PZ0DFld4QVmYYWPAdWa8m3Cyl2n_rwY/edit?usp=sharing
11. 장애학생에 대한 학습지원 사항
- 수강 관련: 문자 통역(청각), 교과목 보조(발달), 노트필기(전 유형) 등
- 시험 관련: 시험시간 연장(필요시 전 유형), 시험지 확대 복사(시각) 등
- 기타 추가 요청사항 발생 시 장애학생지원센터(279-2434)로 요청