Overview

Program Description

The program curriculum provides great flexibility in course selection and offers a broad scientific and engineering base by containing a sequence of courses in mathematics, physics, chemistry, computer, and the engineering sciences. These courses are accompanied by computer engineering courses covering the areas of computer architecture, digital system design and analysis, data acquisition, microcomputer-based design, Embedded systems, computer networks, security, distributed systems, databases, system programming, operating systems, artificial intelligence, neural networks, data analytics and optimization, data mining. big data management, multimedia and virtual reality, image processing and pattern recognition, mobile applications, robotics, cloud computing, natural language processing, computer forensics, and computing systems performance analysis and design.

Program Objectives

            The main objective of the program is to produce and qualify graduate computer engineers thatsatisfy the following characteristics:

• Possess the ability to design computers and computer-based systems that include both hardware and software to solve novel engineering problems, subject to trade-offs involving a set of competing goals and constraints. In this context, “design” refers to a level of ability beyond “ assembling” or configuring” systems.
• Have a breadth of knowledge in mathematics and engineering sciences, associated with the broader scope of engineering and beyond that narrowly required for the field.
• Acquire and maintain a preparation for professional practice in engineering.
• Demonstrate the ability to design, develop, implement, and improve integrated systems that include people, materials, information, equipment and energy.
• Provide strong ties and linkages between the local economic sectors and industrial communities with the program graduates in areas related to research, hands-on training, and field investigations.