Institute of Information Management

Organization profile

Organisation profile

In view of the booming of information technology and the advent of the era of knowledge economy, the demand for enterprise electronic strategy planning and management talents with management literacy is growing. National Cheng Kung University established the Master of Information Management Institute in the Republic of China in 1987 to train the country. High-end information management talents in the enterprise; and further established a doctoral degree in asset management in 1994 to cultivate talents with academic research capabilities, continue the teaching depth of the Institute, and complete the information management higher education system of the school. Develop more information management professionals in academia and business. The firm currently has a total of 22 full-time teachers, including 14 professors, 4 associate professors, and 4 assistant professors. They are doctors in related fields of information technology and industrial management at well-known universities at home and abroad. The biggest difference between the Institute and other domestic asset management institutes is the emphasis on cross-domain integration of information management and industrial management, which can fully meet the needs of students from different backgrounds. The teachers of the Institute are active in the academic and industrial circles at home and abroad. Many teachers have won the Outstanding Research Award of the National Science Council and the research results are great. The master's and doctoral classes of NCKU Asset Management Institute have gradually grown and expanded. The school's learning environment is perfect, the teaching facilities are full and complete, and the research and teaching have accumulated considerable results, and continue to actively recruit information systems and industry. The teacher who manages the integration ability can provide students with the best learning environment. NCKU Asset Management Institute welcomes the participation of interested students, let us grow together and achieve great results.

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Forecasting Mathematics
Liquid crystal displays Engineering & Materials Science
Grey Model Mathematics
Learning algorithms Engineering & Materials Science
Learning systems Engineering & Materials Science
Time series Engineering & Materials Science
Backpropagation Engineering & Materials Science
Thin film transistors Engineering & Materials Science

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Research Output 2005 2019

Extrapolation-based grey model for small-data-set forecasting

Chang, C. J., Li, D. C., Chen, C. C. & Chen, W. C., 2019 Jan 1, In : Economic Computation and Economic Cybernetics Studies and Research. 53, 1, p. 171-182 12 p.

Research output: Contribution to journalArticle

Open Access
GM(1,1)
GM(1,1) Model
Grey Model
Extrapolation
Forecasting

Using virtual samples to improve learning performance for small datasets with multimodal distributions

Li, D. C., Lin, L. S., Chen, C. C. & Yu, W. H., 2019 Nov 1, In : Soft Computing. 23, 22, p. 11883-11900 18 p.

Research output: Contribution to journalArticle

Normal distribution
Learning algorithms
Statistics
Polynomials
Processing
1 Citation (Scopus)

A new grey prediction model for the return material authorization process in the TFT-LCD industry

Li, D. C., Yeh, C. W., Chen, C. C. & Wang, Y. T., 2018 May 1, In : International Journal of Advanced Manufacturing Technology. 96, 5-8, p. 2149-2160 12 p.

Research output: Contribution to journalArticle

Thin film transistors
Liquid crystal displays
Industry
Life cycle
Customer satisfaction