Objectives

Analyze and manage the data efficiently and usefully.
Transfer the data into the useful information.
Present the knowledge which is collected from the information.

Research Directions

We train the students to have the basic ability of data analysis and further analyze useful or the interesting information from the data. The students can exert the ability in their own work field when they graduate from school. In order to develop efficient data management patterns, the students do related research on further data analysis and knowledge management.

Method

• Traditional statistical method
• Multivariable method
• Numerical analysis
• Data mining
• Decision analysis
• Statistical software：Minitab, SPSS Clementine
  

Areas of research interest:

• Technology Management
• Real Option
• Maintenance Outsourcing Contracts
• Supply Chain Management
• Data Mining
• Stochastic Models in Operation Management
  

Courses