Problem-driven Teaching Activities for the Capstone Project Course of Data Science

摘要：

　　The rapid development of data applications poses severe challenges as well as significant opportunities for data science specialty.In this poster,the authors report on problem-driven teaching activities for the capstone project course of data science.The teaching activities consist of problem formation from real-world applications based on data analysis competitions,refining techniques and theories to build domain knowledge,and implementing data science practice to improve students ability of data thinking and data analysis.Preliminary results indicate that the problem-driven teaching activities can be efficiently carried out to facilitate students to achieve the ability of data analysis,and students attending the course win world-class data analysis competitions,such as KDD (Knowledge Discovery and Data Mining) Cup and Kaggle.

关键词： Data Science capstone project course problem-driven domain knowledge exploratory data analysis feature engineering model stacking and blending data visualization

作者: Liang Bai Yanli Hu

作者单位: Science and Technology on Information Systems Engineering Laboratory, National University of Defense Technology,Changsha, Hunan, P.R.China, 410073

会议类型: 国际会议

会议名称: 2018中国图灵大会(ACM Turing Celebration conference-China 2018)

会议地点: 上海

会议语种:英文

页码: 129-130

在线出版日期: 2018-05-19（万方平台首次上网日期，不代表论文的发表时间）