This course introduces students to their final capstone thesis design project in computer engineering. A supervised research project covering a range of subjects utilizing computer engineering and innovation concepts, analytical, software engineering and development, hardware programming and integrated blend of both software and hardware engineering techniques, demonstrating candidates’ ability to identify original subjects for research, plan, execute and report in seminars and a written thesis.

This course introduces students to the importance of modern computer security and its implications in the digital world.Students will be taken through history and overview of computer systems security, reasons for studying security in computer systems, modern trends in computer systems security, role of computer system security in computer engineering. Security risk identification, malicious software, analysis of the threat to information security.

This course provides students with the relevant introduction to machine learning. It examines the field of machine learning with a focus on how to construct computer programs that automatically improve with experience.

This course defines a set of rules stating how computer software standards and hardware instructions and technology infrastructure are joined together and interact to make a computer work. It defines how computer systems, platforms, and programs operate. It delineates the system’s functionality, design, and performance. General topics covered include design methodology, processor design, control design, memory organization, system organization, and parallel processing, processor architectures, and I/O and secondary storage.

This course covers the investigation, creation, and manipulation of digital images by computer. The course consists of theoretical material introducing the mathematics of images and imaging. The topics covered include representation of two-dimensional data, time and frequency domain representations, filtering and enhancement, the Fourier transform, convolution, interpolation, color images.

This course presents the basic principles behind a wireless sensor network. It covers the latest research in wireless sensor networks including all aspects of these unique and important systems, from the hardware and radio architecture through protocols and software to applications. It presents the challenges of designing network protocols, services, and applications for WSNs composed of large numbers of constrained devices.

The course is to provide students with an introduction to law-knowledge and skills relevant to the operations of an engineering-based organization. The course covers discussions on contracts (formation, performance, breach, and termination), corporations and partnerships, insurance, professional liability, risk management, environmental law, torts, property law, evidence and dispute resolution.

This course is designed for students to give them an early start on the process of career planning and development. The process involves thoughtful self-assessment, career exploration, planning, and follow-through with preliminary employment strategies. It acknowledges that this process is ongoing, systematic, and aimed toward a fulfilling work life, which is part of the overall plan for personal development.

This course focuses on the modeling, dynamics, and control of robotic manipulators.

This course introduces students to the fundamentals of the wireless communications systems, the wireless network architectures, protocols, and applications. Topics covered include the history and overview of wireless communication, reasons for studying wireless transmissions, areas of applications, the relevance of wireless systems in computer engineering. Wireless transmission issues and challenges. System Design: Basic cellular networks and selection of parameters for system design. Multi-path channels and modulation techniques.