PBL

Final project

• 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

1. 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

2. 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), 이정우(소비자)

• 정은채(AI), 강윤경(AI), 이혜연(DS), 우정현(CT), 김민기(유동)

• 송준석(CT), 이자의(CT), 최은서(CT), 홍은지(소비자), 이지원(통계)