The priory goals for this course are:
1. Procedure for computer science research
2. Study directions for computer science research
3. The relationship between computer science and other professions. The course is composed of several topics such as: Approach, journal searching, the attitude toward research, the cooperation between students and professors, conference, journal study, journal writing, terminology, research tools, research topic searching, paper application…etc.

This course is to individually teach students about research method and information gathering. Therefore, the ultimate goal of this course is to help students identify their own topics for the thesis. The students who complete this class should be able to better utilize online and library resource and have a better understanding about the gurus of related fields and their recent results.

This course is to individually teach students about research method and information gathering. Therefore, the ultimate goal of this course is to help students identify their own topics for the thesis. The students who complete this class should be able to better utilize online and library resource and have a better understanding about the gurus of related fields and their recent results.

The design and analysis of algorithms is a fundamental ability in the research area of computer sciences. A research who is good at algorithms can design efficient solution on his (or her) problems. This course studies the problems and their solutions in some selected research topics so that the learners can learn more algorithm design experiences. The topics including the following, but not limited to: networking, multimedia, computational biology, and data mining. In addition, to exploit practical algorithms for real applications is the most encouraged thing in this course.

Computer networks are major and indispensable operation components of all organizations in the current environment, Therefore, how to plan and construct a network to meet the organization's requirements and how to promote the network performance through an appropriate network management system become attractive. The purposes of this course are listed as below.
1. making the students have some common network management ability,
2. making the students understand the technologies required for the operations of network management
3. making the students be able to construct and operate a network management system
4. making the students be able to plan and construct network systems

Strategic management of information systems is an emerging research field focusing on the issues associated with the impact of information systems to the organization. The strategic management of information systems is a multidisciplinary field and its growth is contributed by the research from organization theory, behavior science, management science, operation research, strategic management, and political science. The strategic management of information systems is best approached from social-technical aspects.

This course will investigate clusters of computers as a computing platform for distributed computing. Each student should understand specific hardware and software tradeoffs for cluster and application performance, as also issues involved in programming of a cluster of computers.

This course examines basic issues in operating system design and implementation. The operating system provides a well-known, convenient, and efficient interface between user programs and the bare hardware of the computer on which they run.

1.Introducing the fundamentals of cryptography and various applications of e-commerce
2.Introducing how to apply cryptographic techniques to build up secure applications for various on-line commercial activities

This course provides an introductory look at concepts and techniques in the field of data mining. This course first covers the introduction and terminologies to Data Mining and knowledge discovery. the techniques used to explore the large quantities of data for the discovery of meaningful rules and knowledge such as market basket analysis, nearest neighbor, decision trees, neural networks, Naive Bayes, and clustering are lectured. Emphasis will be laid on the algorithmic and systems issues, as well as application of mining in real-world problems.

The course provides introductory contents of web trend and social computing as well as contents of web programming. This course will give students a whole concepts of the future development of web and social computing.

To teach students the use of proper data structures and designing algorithms. Moreover, provide basic mathematical aspects for designing algorithms. Introduce some methodologies for designing algorithms.

The architecture of an interconnection network is always represented by a graph, where vertices represent processors and edges represent links between processors. It is almost impossible to design a network that is optimum from all aspects. One has to design a suitable networks network depending on its properties and requirements. Thus, many graphs are proposed as possible interconnection network topologies. Thus, these graphs can be viewed as good graphs. For this reason, the theory of interconnection networks is referred as good graph theory.

Since the origin of graph theory with Euler, people have liked graph theory, because it is a delightful playground for exploration of proof techniques without much previous background needed. With the application of graph theory to many areas of computing, social, and natural sciences, the important of graph theory have been recognized. In this course, we will introduce some important parameters of graph theory, applications, and possible research area.

1. Teach students how to use OpenGL API for drawing 2D/3D figures.
2. Discuss important 2D/3D graphics algorithms.
3. Show the structure of typical event driven programs.
4. Discuss 3D graphics pipeline.
5. Introduce the 3D modeling techniques.
6. Introduce image processing