PBL

Final project

Final output

Team 1

Team 2

Team 3

Team 4

Team 5

Team 6

Team 7

Students organize teams that meet several conditions.
- 4~5 members in a team
- Background diversity: no homogeneous majors in a team
- Exception: Allowed if persuasion is possible for sufficient reasons
Data: Panel Big Data given EMBRAIN corp.
- If persuasion is possible with sufficient reasons, a project using other data can be used

About EMBRAIN’s panel bigdata: [pdf]
- Due to the limitation of survey, we need a bigdata being collected from consumer
- Panel bigdata
  - Panel: Panelists are survey respondents who have expressed their intention to participate in the survey in advance and provided personal information under a contract with the survey company.
  - Panel Big Data is an integrated platform that allows you to analyze surveys and big data together.
- Including..
  - App using information
  - Visited locations (using WiFi & GPS detection technology)
  - Payment information
  - Basic demographics (gender, age, and so on)

Output

Data analysis report
- Any format is possible (PPT, word, notion web page link, pdf, and so on).
- Report example (but not limited)
  - Data Preparing (or Collecting)
  - Explore data (Descriptive stats)
  - Set your hypothesis (or research questions)
  - Visualize data to confirm your hypo or RQs
  - Explain your findings
  - Expanding your findings to implications
Presentation Video
- Making videos for 10 mins presentation (in any language),
- Submit a Youtube link

The best teams may lead to URP in the summer semester.

Teams

윤승현(경영), 최경석(스포츠과학), 박재원(DS), 임서영(미술), 정하경(국국)
안제민(DS), 이채빈(DS), 김지희(DS), 이윤서(DS), 유선아(AI)
민범기(CT), 이시연(영상), 김경서(영상), 김지연(소비자), 이지우(CT)
손채리(한교), 이수아(글경), 최재원(통계), 윤지우(독독), 김서영(CT)
문정은(경영), 박우혁(DS), 이상훈(DS), 양제니(CT)
정은채(AI), 강윤경(AI), 이혜연(DS), 우정현(CT), 김민기(유동)
송준석(CT), 이자의(CT), 최은서(CT), 홍은지(소비자), 이지원(통계)