[공지] K-DS 2025 SUMMER SCHOOL 참가자 선발 안내
- 조회수 13
- 작성자 DS
- 작성일 2025.03.13
K-DS 2025 SUMMER SCHOOL 참가자 선발 안내
일반대학원 데이터사이언스학과에서는 아래와 같이 2025 SUMMER SCHOOL 희망자를 모집하고 있습니다. 전공과 관련된 경험을 통해 전공 능력 향상 기회를 제공하오니 많은 관심과 참여 바랍니다.
※ 자세한 내용 첨부파일 참조
ㅇ모집기간: 03.14(금) ~ 03.19(수) 12:00 ※신청일시 이후로는 접수 불가
ㅇ모집대상: 일반대학원 데이터사이언스학과 전일제 석사과정 재학생
※ 4학기 및 기존 글로벌프로그램 참여자 제외
※ 박사과정의 경우 국제학술대회 참가 지원 대상임
ㅇ선발기준: K-DS 프로그램 참여도, 대학원 성적 우수자, 고학기자(2-3학기) 우선
※ 썸머스쿨 참여 후 결과보고서 작성·제출 후 평가 진행 예정
ㅇ선발인원: 4명 내외
ㅇ접수처 및 접수방법
· 붙임서류 학과 사무실로 방문 제출 (한빛관 310호)
· 제출서류
1. 신청서 1부 [붙임1]
2. 개인정보동의서 1부 [붙임2]
3. 성적증명서 1부 [대학원 1학기 이상은 대학원 성적증명서, 신입생의 경우 학부 성적증명서]
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□ 프로그램명: DeepLearn2025 (12th International School on Deep Learning, with a special focus on Large Language Models, Foundation Models and Generative AI)
□ 장 소: Porto - Maia, Portugal
□ 일 시: 07.21(월)~07.25(금) [출장기간 예상: 7.19(토) ~ 7.27(일), 변동 가능]
□ 주 최: IRDTA(Institute for Research Development, Training and Advice), Brussels/London
□ 홈페이지: https://deeplearn.irdta.eu/2025/
□ 프로그램 소개:
Deep learning is a branch of artificial intelligence covering a spectrum of current frontier research and industrial innovation that provides more efficient algorithms to deal with large-scale data in a huge variety of environments: computer vision, neurosciences, speech recognition, language processing, human-computer interaction, drug discovery, biomedicine and health informatics, medical image analysis, recommender systems, advertising, fraud detection, robotics, games, business and finance, biotechnology, physics experiments, biometrics, communications, climate sciences, geographic information systems, signal processing, genomics, materials design, video technology, social systems, earth and sustainability, etc. etc.
The field is also raising a number of relevant questions about robustness of the algorithms, explainability, transparency, interpretability, as well as important ethical concerns at the frontier of current knowledge that deserve careful multidisciplinary discussion.
Most deep learning subareas will be displayed, and main challenges identified through 18 four-hour and a half courses, 2 keynote lectures, 1 round table and a hackathon competition among participants. Renowned academics and industry pioneers will lecture and share their views with the audience. The organizers are convinced that outstanding speakers will attract the brightest and most motivated students. Face to face interaction and networking will be main ingredients of the event. It will be also possible to fully participate in vivo remotely.
· 3 courses will run in parallel during the whole event. Participants will be able to freely choose the courses they wish to attend as well as to move from one to another.
. All lectures will be videorecorded. Participants will be able to watch them again for 45 days after the event.
. An open session will give participants the opportunity to present their own work in progress in 5 minutes. Also companies will be able to present their technical developments for 10 minutes.
. The school will include a hackathon, where participants will be able to work in teams to tackle several machine learning challenges.
□ 참여학생 지원사항: 교육비, 출장비(항공료, 숙박비, 체제비) 일체
□ 문의처: 데이터사이언스학과 홍연주 연구원(033-250-8451)
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