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Conference Paper: Incorporating predictive analytics in an actuarial curriculum – Data Analytics Education at HKU

TitleIncorporating predictive analytics in an actuarial curriculum – Data Analytics Education at HKU
Authors
Issue Date2018
Citation
The 1st Asia-Pacific Actuarial Teaching Conference (ATC), The University of Hong Kong, Hong Kong, 9 July 2018 How to Cite?
AbstractPredictive analytics is one of the most important topics in various disciplines in the big data era. In this talk, I will introduce the way how we are going to incorporate the data analytics elements into our actuarial curriculum. I will share some teaching experience from our existing courses in data mining and data visualization, through a diversity of teaching and learning activities such as case study analysis, practical programming exercise, as well as project-based study.
Persistent Identifierhttp://hdl.handle.net/10722/271505

 

DC FieldValueLanguage
dc.contributor.authorYuen, KC-
dc.date.accessioned2019-07-02T08:30:26Z-
dc.date.available2019-07-02T08:30:26Z-
dc.date.issued2018-
dc.identifier.citationThe 1st Asia-Pacific Actuarial Teaching Conference (ATC), The University of Hong Kong, Hong Kong, 9 July 2018-
dc.identifier.urihttp://hdl.handle.net/10722/271505-
dc.description.abstractPredictive analytics is one of the most important topics in various disciplines in the big data era. In this talk, I will introduce the way how we are going to incorporate the data analytics elements into our actuarial curriculum. I will share some teaching experience from our existing courses in data mining and data visualization, through a diversity of teaching and learning activities such as case study analysis, practical programming exercise, as well as project-based study.-
dc.languageeng-
dc.relation.ispartofThe 1st Asia-Pacific Actuarial Teaching Conference, 2018-
dc.titleIncorporating predictive analytics in an actuarial curriculum – Data Analytics Education at HKU-
dc.typeConference_Paper-
dc.identifier.emailYuen, KC: kcyuen@hku.hk-
dc.identifier.authorityYuen, KC=rp00836-
dc.identifier.hkuros298145-

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