Computer Control Engineering Branch

An Introduction

The Computer and Control Engineering Branch was established in 1986 and it awards graduates of the preliminary study a bachelor's degree in Computer Engineering and Control. During the study period, the student will be provided with a variety of theoretical and practical knowledge to give the basics that are necessary to deal with the design of digital systems, including digital computers, as well as with its various applications. Theoretical topics given during the study period combine the basics of electrical and electronic engineering, design of digital systems, microprocessors, computer architecture, computer applications, as well as computer networks and other basic lessons. There is a focus on the practical side of the laboratory during the study and this is evidenced by the many laboratories that the student deals with during the study and associated with theoretical and practical subjects. The branch occasionally opens postgraduate studies to grant master and doctoral degrees in computer engineering and control. The method of study of the two certificates combines scientific courses and research, noting that the scientific courses combine theoretical lessons and laboratory classes.


Educational Goals

• First: To provide students with basic knowledge and technical information to achieve a successful career in the field of computer engineering.

• Second: Graduation of students who are able to pursue graduate studies.

• Third: To prepare successful professional students who have the ability to communicate and are committed to social and ethical responsibilities and diversity with the ability to continue education and work in collective teams.  

Research Trends

The professors of the branch are interested in several research topics including:

1. Design of computer networks.

2. Data security and communication via computers.

3. Applications of digital computers and microprocessors in monitoring and automated control.

4. Artificial intelligence systems and ways to search for optimal solutions.

5. Evolutionary computing.

6. Image processing and reference applications.

7. Modeling and systems identification.

8. Digital systems design.

9. Applications of the theory of the state of shapes in engineering



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