Dr. ZEYAD ABDEL_HAMEED ALI AL_ODAT
Department of Computer and Communication Engineering
The Computer and Communications Engineering program at Tafila Technical University is an advanced engineering discipline that forms a cornerstone in the development of digital infrastructure, modern communication systems, and intelligent technologies based on computing and artificial intelligence. The program aims to prepare scientifically and practically qualified engineers capable of designing, developing, and managing computer systems and communication networks, as well as applying artificial intelligence technologies across industrial, service, and technological domains.
The program integrates theoretical foundations with practical applications in computing, communications, and intelligent systems, keeping pace with the rapid developments of the Fourth Industrial Revolution and digital transformation.
Vision
Leadership and excellence in Computer and Communications Engineering and intelligent systems education, and the preparation of highly qualified graduates capable of driving digital transformation and developing innovative technological solutions at the local and regional levels.
Mission
To provide high-quality engineering education that integrates theoretical foundations with practical applications in computing, communications, and artificial intelligence, and to graduate competent engineers capable of innovation, digital system development, and contributing to community service while meeting labor market demands.
Objectives
• Prepare specialized engineers in computing, communications, and intelligent systems.
• Develop students’ skills in design, analysis, and development of computer systems and communication networks.
• Enhance students’ capabilities in artificial intelligence applications and data analysis.
• Bridge theoretical knowledge with practical applications through training and engineering projects.
• Support scientific research and innovation in modern technology fields.
• Qualify graduates for local, regional, and international labor markets in the technology sector.
Core Values
Excellence and quality in engineering education.
Innovation and creativity in technological solutions.
Integrity and professional responsibility.
Teamwork and collaboration.
Continuous technological advancement.
Community service and support for digital development.
Academic Programs (Bachelor’s Degree)
The department offers a Bachelor’s degree in the following programs:
- Computer Engineering
- Communications and Electronics Engineering
- Intelligent Systems Engineering
Academic Focus Areas
Computer Engineering: Design and development of computer systems, software and hardware, operating systems, networks, cybersecurity, and embedded systems.
Communications and Electronics Engineering: Design and operation of wired and wireless communication networks, 5G technologies, signal processing, electronics, and advanced circuit systems.
Intelligent Systems Engineering: Artificial intelligence, machine learning, Internet of Things (IoT), robotics, big data analytics, and intelligent control systems.
Skills Acquired
• Design and development of computer systems and communication networks.
• Development of AI-based and machine learning solutions.
• Big data analysis and intelligent system development.
• Management of complex engineering and IT projects.
• Design of embedded and robotic intelligent systems.
• Preparation of technical reports and engineering documentation.
Practical Training
Field training is a core component of the program, where students engage with technology companies, communication laboratories, and research centers to bridge theoretical knowledge with real-world applications and enhance their readiness for the labor market.
Career Opportunities
• Software and network development companies.
• Telecommunications companies and internet service providers.
• Artificial intelligence and digital transformation companies.
• Industrial automation and intelligent control systems sectors.
• Research and innovation centers in technology fields.
• Government institutions related to digital infrastructure.
• Cybersecurity and data protection companies.
Department Majors

Bachelor Degree
Program Overview
Computer Engineering is concerned with the study and application of principles of computer systems, integrating both hardware and software to design, develop, and optimize computing solutions used in modern technological environments. The program combines theoretical foundations with practical applications in computer architecture, programming, networking, and embedded systems. It aims to prepare graduates with advanced analytical and technical skills capable of understanding, designing, and improving modern computing technologies and contributing to scientific and industrial development.
Program Learning Outcomes
By the end of the program, the graduate will be able to:
Develop a deep understanding of computer engineering principles and their practical applications.
Design and analyze computer hardware and software systems.
Develop and implement operating systems, databases, and network solutions.
Apply principles of embedded systems and digital system design.
Analyze and solve engineering and computing problems using systematic approaches.
Use modern programming languages and development tools effectively.
Work within multidisciplinary teams while adhering to professional ethics.
Brief Study Plan
The study plan includes the following components:
General Requirements: Mathematics, Physics, Computer Skills, and Scientific Writing.
Major Requirements: Digital Logic Design, Computer Architecture, Operating Systems, Computer Networks, Programming, Database Systems, Embedded Systems, Software Engineering, Cybersecurity Fundamentals.
Practical Courses: Computer laboratories, hardware design labs, programming projects, and simulation-based learning activities.
Field Training: Practical training in IT companies, software development firms, or technology centers to connect theoretical knowledge with real-world applications.
Graduation Project: A research or applied project addressing a scientific or engineering problem in computer engineering.
Career Opportunities
Software development companies.
Computer hardware and embedded systems industries.
Telecommunications and networking companies.
Cybersecurity and information security sectors.
Research and development centers in computing and technology.
Government and private IT departments.
Educational institutions and academic sector.

Master Degree
Program Overview
Communications and Electronics Engineering is concerned with the study and application of electronic systems and modern communication technologies, focusing on the design, operation, and development of communication networks and signal processing systems. The program integrates theoretical foundations with practical applications in electronics, wired and wireless communications, and analog and digital signal processing. It aims to prepare qualified engineers with advanced analytical and technical skills capable of designing and developing modern communication and electronic systems and contributing to the advancement of digital and technological infrastructure.
Program Learning Outcomes
By the end of the program, the graduate will be able to:
Develop a deep understanding of communications and electronics engineering principles and their applications.
Design and operate wired and wireless communication networks.
Analyze and process analog and digital signals.
Design electronic circuits and digital systems.
Understand and apply modern communication technologies such as 5G networks.
Use engineering simulation tools and software for system analysis.
Work effectively within multidisciplinary teams while adhering to professional ethics.
Brief Study Plan
The study plan includes the following components:
General Requirements: Mathematics, Physics, Computer Skills, and Scientific Writing.
Major Requirements: Analog and Digital Electronics, Communication Theory, Signal Processing, Electromagnetics, Communication Systems, Communication Networks, Microwave Systems, Antenna Systems, Digital Communications.
Practical Courses: Electronics laboratories, communication laboratories, communication systems simulation, and electronic circuit design.
Field Training: Practical training in telecommunications companies, technology centers, or internet service providers to integrate theoretical knowledge with real-world applications.
Graduation Project: A research or applied project addressing a scientific or engineering problem in communications and electronics engineering.
Career Opportunities
Telecommunications companies and internet service providers.
Electronics and circuit design companies.
Communication networks and infrastructure systems.
Signal processing and digital systems sectors.
Wireless and advanced technology companies.
Government institutions related to communications and technology.
Research and development centers in electronics and communications.

Bachelor Degree
Program Overview
Intelligent Systems Engineering focuses on the study and application of artificial intelligence, modern control systems, and embedded technologies to design and develop systems capable of intelligent behavior, automated decision-making, and advanced data analysis. The program integrates theoretical foundations with practical applications in machine learning, robotics, Internet of Things (IoT), and big data analytics. It aims to prepare qualified engineers with advanced analytical and technical skills capable of developing innovative intelligent solutions that contribute to digital transformation and technological advancement.
Program Learning Outcomes
By the end of the program, the graduate will be able to:
Develop a deep understanding of artificial intelligence and intelligent systems engineering concepts and applications.
Design and implement machine learning and deep learning models.
Develop IoT systems and intelligent embedded systems.
Analyze and process big data to extract meaningful insights.
Design intelligent robotic systems and advanced control systems.
Use programming and simulation tools in AI-based applications.
Work effectively within multidisciplinary teams while adhering to professional ethics.
Brief Study Plan
The study plan includes the following components:
General Requirements: Mathematics, Physics, Programming, and Computer Skills.
Major Requirements: Artificial Intelligence, Machine Learning, Deep Learning, Control Systems, Embedded Systems, Internet of Things (IoT), Robotics, Data Analysis, Advanced Algorithms.
Practical Courses: AI laboratories, intelligent application programming, system simulation, robotics and embedded system projects.
Field Training: Practical training in technology companies, AI industries, or research and development centers to bridge theoretical knowledge with real-world applications.
Graduation Project: A research or applied project in intelligent systems and artificial intelligence domains.
Career Opportunities
Artificial intelligence and machine learning companies.
Software development and intelligent systems industries.
Robotics and industrial automation sector.
Internet of Things (IoT) and smart control systems.
Research and innovation centers in AI and data science.
Government and digital transformation institutions.
Advanced analytics and intelligent computing sectors.


