Since the establishment of the department, the success rate for the members of staff obtaining research
fundings from NSC or the Ministry of Education is 100%. More than 100 projects have been funded since
and over 100 articles have been published in SCI, SSCI, EI and other international journals.

■

Excellent Learning Environment

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Dedicated computing laboratory is equipped with Windows and Linux operating systems, high-speed
CPUs, and networking hardware and software. It is available as a 24-hour 3A (Anytime, Anywhere,
Anyone) digital learning space.

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In a most pleasant and relaxing environment, surrounded by flower fields while facilitated with the
MathTV digital contents, students are able to share and enjoy their learning experience and participate in
the research activities currently ongoing in the department.

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Outstanding Students Achievements

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The members of staff are enthusiastic about teaching and supportive towards the students, always ready to
offer help and advice in their studies as well as in other aspects of the academic life.

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Our students are vibrant and innovative and there is a great atmosphere among the students themselves.
This is obvious from the diversity of events and activities they have organized and participated, as well as
the many trophies they have won for the department.

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Many of our graduates have been successful in entering the top national universities in Taiwan to peruse
their graduate studies in areas such as mathematics, statistics, information technology and communication,
electronic engineering, epidemiology etc. They will no doubt go on to become leading members in the
areas of their chosen expertise.

Goals
The Department devotes itself to the development of three areas: probability and statistics, discrete mathematics,
and scientific computing. In addition to basic mathematical training, the Department also provides a range of
advanced courses. After acquiring basic understanding on all fields of mathematics, students are expected to
choose one of the three areas as the field of their major study. The students are also encourages to take courses
in other departments such as physics, bioinformatics, economics and electrical engineering, and to participate
in research projects sponsored by NSC and the industry. Furthermore, the department seeks to strengthen the
students in their programming skills as well as their knowledge on the statistical and mathematics-related
software packages, enabling them to compete and apply theories in the fast-moving technical world.

Postgraduate Opportunities
Mathematics is undoubtedly the tool that is most widely used in all applied sciences and in industries. The
postgraduate programs provided by the department aim to improve on their analytic skills and logical reasoning
while encourage independent thinking. In addition to the theoretical and technical training in mathematics and
other related subjects, the students are encouraged to take parts in activities that will help in the development of
their communication (languages, reading and writing) skills and improving on their ability in organization and
management, impressing upon them an attitude that is conscientious and responsible as well as an optimistic
outlook towards their future.

Future Outlook
The Department of Applied Mathematics at NUK was established for its undergraduate study in 2000 and
expanded to include graduate programs for master degree in 2006 and PhD in 2008. It is the focus of the
department to concentrate its future research on multidisciplinary subjects such as Computational Sciences,
Combinatorics and Mathematical Biology with an aim to become a focal centre of research in applied
mathematics in Taiwan.

Courses Offered
■ Compulsory Courses

Freshman

Sophomore

Junior

Master

► Calculus (1)(2)
► Linear Algebra (1)(2)
► Fundamental of Mathematics (1)(2)
► Concepts of Mathematics (1)(2)
► Introduction to Computer Science
► Programming Languages

► Advanced Calculus (1)(2)
► Differential Equations (1)
► Probability and Statistics (1)(2)
► Algebra (1)

► Numerical Methods
► Combinatorics (1)

► Seminar (1)(2)

■ Elective Courses

Sophomore

Junior

Senior

Master, Ph.D.

Mathematics
► Differential Equations
(2)
► Concepts of
Mathematics (3)(4)
► Data Structure
Probability and Statistics
► Data Structure
► Differential Equations
(2) Combinatorics
► Data Structure
► Graph Theory (1)(2)
Scientific Computing
► Data Structure
► Differential Equations
(2)
► Engineering
Mechanics

Mathematics
► Algebra (2)
► Complex Analysis (1)(2)
► Matrix Theory (1)(2)
► Concepts of Numerical
Methods
► Fundamental of Number
Theory Probability and Statistics
► Matrix Theory (1)
► Mathematics Statistics
(1)(2)
► Combinatorics (2) Combinatorics
► Algebra (2)
► Combinatorics (2)
► Computer Algorithms Scientific Computing
► Data Structure
► Differential Equations (2)
► Engineering Mechanics

Mathematics

►

Partial Differential
Equations (1)(2)

►

Functional Analysis

►

Real Analysis, Applied
Mathematical Methods

►

Mathematical
Programming (1)(2)

Probability and Statistics

►

Probability (1)(2)

►

Stochastic Processes

►

Mathematical Statistics

►

Regression Analysis

►

Experimental Design

►

Independent Study in
Probability (1)(2)

►

Statistical Computing

►

Mathematical
Programming (1)(2)

►

Compound Interest

►

Risk Management

Combinatorics

►

Independent Study in
Combinatorics (1)(2)

►

Computer Algorithms

►

Coding Theory

►

Graph Theory

►

Enumerative
Combinatorics (1)(2)

Scientific Computing

►

Partial Differential
Equations (1)(2)

►

Matrix Computations

►

High Performance
Computting

►

Asymptotic and
Perturbation Methods

►

Linear Programming

►

Functional Analysis

►

Mathematical Biology

►

Numerical Differential
Equations

Mathematics

►

Partial Differential
Equations (1)(2)

►

Functional Analysis

►

Real Analysis

►

Applied Mathematical
Methods

►

Mathematical
Programming (1)(2)

Probability and Statistics

►

Probability (1)(2)

►

Stochastic Processes

►

Mathematical Statistics

►

Regression Analysis

►

Experimental Design

►

Independent Study in
Probability (1)(2)

►

Statistical Computing

►

Mathematical
Programming (1)(2)

►

Compound Interest

►

Risk Management

Combinatorics

►

Independent Study in
Combinatorics (1)(2)

►

Computer Algorithms

►

Coding Theory

►

Graph Theory

►

Enumerative
Combinatorics (1)(2)

Scientific Computing

►

Partial Differential
Equations (1)(2)

►

Matrix Computations

►

High Performance
Computing

►

Asymptotic and
Perturbation
Methods

►

Linear Programming

►

Functional Analysis

►

Mathematical Biology

►

Numerical Differential
Equations

■

Remarks:

►

Minimum number of credits required for a BSc degree in Mathematics: 128

►

Minimum number of credits required for a Master degree in Mathematics: 26

►

Minimum number of credits required for a PhD in Mathematics: 18