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
- Attendance: 10%
- Midterm Exam: 25%
- Final Exam: 25%
- Team Project: 40%
* Evaluation Criteria for Team Project:
- Novelty: originality and creativity of the idea
- Impact: relevance and potential usefulness of the solution
- Technology: effective use of the techniques and tools covered in class
- Presentation: clarity and professionalism of the report and presentation
8. 강의진도계획
Schedule: https://docs.google.com/spreadsheets/d/1NBJrPN4CkLqL0IGGCTr1ZxOvPbRWSDlFF95h-5-zOY4/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