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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Liquid crystal displays Engineering & Materials Science
Time series Engineering & Materials Science
Forecasting Mathematics
Industry Engineering & Materials Science
Learning algorithms Engineering & Materials Science
Grey Model Mathematics
Learning systems Engineering & Materials Science
Managers Engineering & Materials Science

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Research Output 1994 2020

An envelopment learning procedure for improving prediction accuracies of grey models

Chen, C. C., Chang, C. J., Zhuang, Z. Y. & Li, D. C., 2020 Jan, In : Computers and Industrial Engineering. 139, 106185.

Research output: Contribution to journalArticle

Time series
Integrated circuits
Industry
Uncertainty

NoteSum: An integrated note summarization system by using text mining algorithms

Wang, H. C., Chen, W. F. & Lin, C. Y., 2020 Mar, In : Information sciences. 513, p. 536-552 17 p.

Research output: Contribution to journalArticle

Text Mining
Summarization
Students
Module
Textbooks

Robust data collection for energy-harvesting wireless sensor networks

Liu, R. S. & Chen, Y. C., 2020 Feb 11, In : Computer Networks. 167, 107025.

Research output: Contribution to journalArticle

Energy harvesting
Sensor nodes
Wireless sensor networks
Sampling
Planning