Project

Data EngineeringIMEN891K / IDSC501Fall 2025

Timeline

  1. Sep 21
    Team Building

    Up to 5 students

    Enter your team members in the project sheet.

  2. Oct 14 & 16
    Proposal

    15 min (incl. Q&A)

    Ideation, data collection and preprocessing, and database management.

  3. Dec 9 & 11
    Final Presentation

    15 min (incl. Q&A)

    A product that addresses a real-world problem using a large-scale database, possibly with an LLM.

Evaluation

Team Evaluation (Instructor + other teams)
  • NoveltyOriginality and creativity of the idea
  • ImpactRelevance and potential usefulness of the solution
  • TechnologyEffective use of the techniques and tools covered in class
  • PresentationClarity and professionalism of the report and presentation
Individual (Teammates)
  • TeamworkContribution to technical work, collaboration and shared responsibilities

Teams

Teams edit their own entry in the project sheet .

#ProjectProposalFinal
1 개인 맞춤 논문 요약 메일링 10/14 · #1 PDF 12/11 · #3 PDF
2 소비자를 위한 리콜 상품 알리미 10/16 · #3 PDF 12/09 · #3 PDF
3 Finflow Engineering (금융 파이프라인 구축 프로젝트) 10/14 · #5 PDF 12/09 · #4 PDF
4 온톨로지 기반의 맞춤형 아트 큐레이션 시스템 10/14 · #2 PDF 12/11 · #4 PDF
5 대중교통 정류소 도착 예정 시간 계산 시스템 10/16 · #1 PDF 12/11 · #5 PDF
6 뉴스데이터활용 포트폴리오 최적화 10/14 · #3 PDF 12/09 · #5 PDF
7 실시간 PC 시스템 이상탐지 모델 및 파이프라인 구축 10/16 · #2 PDF 12/09 · #2 PDF
8 주식 포트폴리오 최적화 10/14 · #4 PDF 12/11 · #2 PDF
9 뉴스 데이터 기반 맞춤형 기업 추천 서비스 10/16 · #4 PDF 12/11 · #1 PDF
10 로봇 팔 모터 이상징후 감지 시스템 10/16 · #5 PDF 12/09 · #1 PDF

Highlights

  • Team 2 on stage with the Grand Prize at the 4th Retail Data Festa
    Grand Prize, 4th Retail Data Festa Minister's Award

    Team 2 turned their project, a personalized recall alert service, into a one-stop food safety solution built with generative AI. It won first place in the Generative AI Solution track out of 225 teams.