![](data:image/png;base64,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)
영문명 : Introduction to Data Analysis in Economic Policy
한글명 : 경제정책 자료분석개론
교원 : Noah Myung
수업시간: Mon ~ Thur13:00 ~ 16:00 (6월 25일~7월 26일 예정)
강의실: 83동 602호
교수님이 한국 시스템에 익숙하시지 않기 때문에 학생들 ETL 출결관리나, 학생들과의 연락 의사소통 등
이 될 것으로 예상됩니다.
교수님마다 요청하시는 바가 조금씩 있으시면 그 부분을 진행해 주시면 될 것 같습니다.
수당 48만원 예상 (학생 인원수별로 차이있음)
지원할 학생은 본인 학번, 연락처를 적어서 한지희
jihui@snu.ac.kr 로 메일 바랍니다.
(5월 9~10일 학사위원회로 전화연락이 되지않습니다. 문의사항도 메일로 주세요)