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Design of Experiments with Industrial Statistics and Data Science

Poster : events_1_24019110200408255.pdf

December 7, 2019

International conference room SC1005, College of Science, NSYSU
Ray-Bing Chen (Department of Statistics, National Cheng Kung University)
Mei-Hui Guo (National Sun Yat-sen University)
Hsiang-Ling Hsu (National University of Kaohsiung)
Shih-Hao Huang (National Central University)

Aim & Scope:

Traditionally "Experimental Design" is used to make the proper plan to collect the data for the future analysis and this target is different from the idea of the Data Science. However, the design approaches could be still useful in the current data science analysis, just like old wine in a new bottle. In this workshop, we would invite the 8 speakers target on "Experimental Design"; "Industrial Statistics" and "Data Science", and try to link these fields and provide an opportunity for the communications.

Agenda with Invited Speakers:

0:20-10:30: Opening

10:30-12:00: Session I Experimental Design and Its Current Research Topics

Speakers: 蔡碧紋教授、高銘宏教授黃世豪教授

12:00-13:30: Lunch Time

13:30-15:00: Session II Industrial Statistics and Machine Learning

Speakers: 曾勝滄教授、陳素雲教授、潘建興教授

15:00-15:15: Break

15:15-16:45: Session III Data Science

Speakers: 李育杰教授、林良靖教授、朱基祥博士

16:45-17:00: Break

17:00-17:50: The General Discussion among Design; Industrial Statistics and Data Science

18:30-20:30: Banquet

Conference Website:


Contact: Peggy Lee (peggylee@ncts.tw)

Poster: events_1_24019110200408255.pdf

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