International conference room SC1005, College of Science, NSYSU
Organizers:
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:
http://www.math.nsysu.edu.tw/conference/cdad2019/index.html
Contact: Peggy Lee (peggylee@ncts.tw)