Department || Development Direction

Since its founding, the department has concentrated on research and development in Probability and Statistics, Combinational Mathematics, and Scientific Computing. These three areas of focus have tremendous potential for future development and their theories and applications are worth further study. Focusing on these three fields will not only enhance the collaboration between the department and others, but will also expand the career paths for our graduates to provide their expertise for society. As a result, the department will quickly become a crucial academic resource in Applied Mathematics in Taiwan.

1. Probability and Statistics:

Probability and Statistics are essential tools used in many scientific analyses. In addition to theories, the department is also focusing on principles and methodologies in probabilities and statistics for practical purposes. Examples are mathematical and financial Statistics, and information-related statistics. Due to the popularity of statistics in the field of medicine, the department will partner with the Department of Life Science in N.U.K., Veterans General Hospital-Kaohsiung, and Chang-Gung Memorial Hospital in the effort to pursue further development in Biostatistics.

2. Combinational Mathematics:

Discrete mathematics is the foundation of Computer Science. In recent years, along with the vigorous development in Computer Science, Discrete mathematics has become one of the most popular categories in mathematics. In addition to its popularity in Computer Science, Discrete mathematics is also utilized broadly in areas such as Chemistry, Biology, Economics, and Management. Fueled by advancing technology, Discrete mathematics and other categories in Mathematics have become more interactive with one another. This domain is definitely worth pursuing.

3. Scientific Computing:

Due to the advancement of computer technology in computing, Scientific Computing is becoming more critical. For estimation and forecasting purposes, computers can be used to simulate some of the expensive and time-consuming experiments. Results from many theories are required to provide more precise computing methods to improve the practicalities. Scientific Computing is mainly concentrated in design and development of Numerical Differentiable Equations, Sparse Matrix Computation, Numeric Analysis, and Mathematics software.