Organization profile

Organisation profile

The rise of Big Data Analysis has revolutionized the related industries and applications in recent years. Data Science has also inspired the resurgence of artificial intelligence, which has led to the competition for the cultivation of talents in data science research and related industry of international and domestic academic fields. Today's so-called Data Scientists refer to experts who can extract useful information from various data sets and apply them in different fields. Therefore, data scientists must not only have the ability of statistical data analysis and scientific computing related programing, but more importantly, they can integrate big data analysis into various professional fields. Basically, data science is a cross-disciplinary science that includes statistical science, information science, and knowledge in related fields. Compared with other data science-related teaching units, the training of our institute emphasizes the statistical data analysis courses required by data science as the main axis, supplemented by information engineering courses. In addition, NCKU is a comprehensive university, the faculty of each department has a strong lineup, and the complete information of each center can be used as a strong backing for the professional application knowledge field of the institute and the development of data science.

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Regression Mathematics
Sequential Design Mathematics
Uncertainty Quantification Mathematics
Binary Response Mathematics
Sparse Representation Mathematics
Small Sample Size Mathematics
Painting Engineering & Materials Science
Protein Structure Mathematics

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Research Output 2008 2019

  • 4 Article
  • 1 Conference contribution
1 Citation (Scopus)

Identifying individual risk rare variants using protein structure guided local tests (POINT)

West, R. M., Lu, W., Rotroff, D. M., Kuenemann, M. A., Chang, S. M., Wu, M. C., Wagner, M. J., Buse, J. B., Motsinger-Reif, A. A., Fourches, D. & Tzeng, J. Y., 2019 Feb 1, In : PLoS Computational Biology. 15, 2, e1006722.

Research output: Contribution to journalArticle

Open Access
Protein Structure
protein structure
Kernel Machines
Binary Response
Small Sample Size
Posterior Mean
2 Citations (Scopus)

Sequential Designs Based on Bayesian Uncertainty Quantification in Sparse Representation Surrogate Modeling

Chen, R. B., Wang, W. & Wu, C. F. J., 2017 Apr 3, In : Technometrics. 59, 2, p. 139-152 14 p.

Research output: Contribution to journalArticle

Sequential Design
Uncertainty Quantification
Sparse Representation