This foundational course introduces students to programming using Python, with no prior programming experience required. The course focuses on developing problem-solving skills through computational thinking, algorithmic design, and practical coding exercises. Students will learn core programming concepts such as variables, data types, control structures (conditionals and loops), functions, recursion, and file handling. Emphasis will be placed on best practices in programming, including clear communication, code documentation, and debugging techniques. Through a combination of lectures and lab sessions, students will gain hands-on experience in implementing Python programs to solve real-world problems.

networks, networking protocols, hardware, remote access, and security. Students will learn about the OSI model, network technologies, and their applications in real-world scenarios. Emphasis is placed on configuring, troubleshooting, and managing network communication to ensure efficient data transmission. Students will gain practical experience in implementing network configurations that include redundancy and load balancing to improve network reliability and performance. The course also fosters collaboration, with students working in groups to design, develop, and maintain secure and effective network solutions.

This course aims at introducing object-oriented programming (OOP) concepts and design principles, using Python programming language. The course aims to equip students with the fundamental knowledge and skills needed to develop software applications using OOP. The course covers abstraction, information hiding, classes, methods, attributes, inheritance, polymorphism, file processing, overloading, exception handling, reading, and writing from text files using Python’s built-in handling functions. The course includes hands-on exercises that will help students develop the skills required to develop Object-Oriented functioning programs to solve real-world computing problems. Students will collaborate with peers to deliver a functioning object-oriented program that applies the principles of Object-Oriented Programming concepts, error handling, and files handling.

This course provides a comprehensive understanding of data structures and algorithms, using Python for implementation. Key topics include algorithm analysis and complexity (using Big-O notation), searching and sorting algorithms, and essential data structures. The course begins with a review of Python essentials, followed by an introduction to algorithm analysis, enabling students to implement and evaluate the performance of various algorithms to select the most efficient algorithm for a given problem. Students will explore both linear and non-linear data structures, including Stacks, Queues, Deques, Linked Lists, Recursion, Trees (such as Binary Search Trees), and Graphs, with a focus on their applications and algorithms like breadth-first and depth-first search. Students will apply their learning through Python-based hands-on. Finally, students will collaborate within groups to apply the gained knowledge through the course to address, design, and implement solutions for real-world problems.

This course provides an in-depth exploration of data communication principles and network technologies. Students will learn the fundamentals of data transmission, network models, and communication standards, with a focus on both wired and wireless media. Topics include signal encoding, error detection and correction, network protocols, IP addressing, routing, switching techniques, and advanced concepts such as MPLS, QoS, and load balancing. The course also covers modern wireless standards, access networks, and backbone network design. Through hands-on labs and projects, students will gain practical experience configuring network protocols, implementing scalable and redundant network designs, and optimizing network performance. Students will work in teams to design and present comprehensive network solutions that integrate the latest technologies.

This course provides an introduction to the essential principles of cybersecurity, covering topics such as risk management, cybersecurity laws and policies, and technical fundamentals in network security. Students will learn to analyze and defend against cyber threats such as malware and phishing, understand key computer science concepts relevant to cybersecurity, and explore security frameworks and incident response. Through lab exercises and team projects, students will gain practical experience in developing comprehensive cybersecurity strategies for real-world scenarios.

This course offers a comprehensive understanding of information security principles, focusing on the confidentiality, integrity, and availability (CIA) triad. Students will learn about key security frameworks such as ISO/IEC 27001, NIST, and COBIT, as well as risk management and access control models. The course also emphasizes ethical issues, decision-making frameworks, and professional codes of conduct in the field of cybersecurity. Through practical exercises, case studies, and discussions, students will develop the ability to apply security concepts effectively while making informed ethical decisions in real-world information security scenarios.

This course provides a comprehensive introduction to the fundamental principles and practices of cryptography. Students will explore both symmetric and asymmetric cryptographic techniques, including stream ciphers, block ciphers (DES, AES), and public-key cryptosystems like RSA and Elliptic Curve Cryptography (ECC). The course also covers cryptographic hash functions, digital signatures, and message authentication codes (MACs) used to ensure data integrity and authenticity. In addition, students will examine modern cryptographic challenges and emerging technologies such as post-quantum cryptography. Through hands-on labs and projects, students will apply cryptographic algorithms in real-world scenarios to secure data and communication systems.

This course teaches students the fundamental principles and practices of network security. They will learn how to identify security threats and apply appropriate countermeasures to data link layer security threats. Students will also implement security protocols and standards at the network layers to mitigate risks. They will use security tools and technologies such as IDPS and VPN to secure network endpoints and systems. Throughout the course, students will work with their peers on a group project to implement a network security solution, applying the knowledge and skills they have acquired.

This course provides an in-depth examination of mobile and wireless security issues and techniques, covering both theoretical and practical aspects. In this course, students learn to recognize the impact of mobile network development on communication and networking. They will also assess wireless and mobile network security threats and apply appropriate security measures. Advanced security technologies will be implemented to enhance WLAN security measures, and effective security strategies will be used to mitigate risks in wireless WANs and mobile devices. In addition, students will participate in a group project to deliver a mobile and wireless security solution.

Students will learn about operating systems without getting into detail about internal algorithms. Case studies involving operating systems and networks are used by students to gain an understanding of how operating systems work and their role in Computers. The course covers structures of operating systems, processes and process synchronization, main memory, storage structure mass, file systems, operating system protection and security, virtual machine and UNIX flavors. Students learn to monitor, secure and configure an operating system using a UNIX flavors.

This course introduces students to the principles of cybersecurity risk management, focusing on identifying, assessing, and mitigating cybersecurity threats. Students will learn how to develop risk management strategies, implement business continuity and disaster recovery plans, and use industry-standard tools like SIEM for real-time threat detection. The course includes hands-on exercises and team projects, providing practical experience in creating cybersecurity policies, responding to incidents, and managing risks in industrial control systems and network environments. By the end of the course, students will be equipped with the skills needed to manage cybersecurity risks effectively in various organizational settings.

This course provides the student with a comprehensive introduction to the uses of computers in the world of digital forensics. Through this course the student will get familiar with the known methods of computer investigations and digital evidence, the requirements of work and lab environments of computer forensics, the techniques of data acquisition and data analysis used today in computer forensics, and the legal aspects of forensics investigations. The course serves as an essential primer to digital forensics investigations. It covers the well-known techniques and tools used by investigators for acquiring, comparing, and analyzing digital evidence in computer in private and public investigations. General legal issues such as handling evidence, chain of custody, admissibility, search warrants, and working with law enforcement are also covered. Several hands-on lab exercises that include working, analyzing, and examining digital images and evidence will be carried out throughout this course.

This course provides an in-depth exploration of malware, covering its lifecycle, classification, and the techniques used to analyze and reverse-engineer malicious software. Students will learn how to set up secure environments for malware analysis, apply both static and dynamic analysis techniques, and perform reverse engineering to understand malware behavior. The course also covers advanced topics such as memory forensics, network-based malware analysis, and malware evasion techniques. In addition to individual lab work, students will collaborate in teams to analyze malware samples, generate reports, and present findings, fostering real-world collaboration skills. The course concludes with a discussion of the legal and ethical implications of malware research and incident response. By the end of the course, students will be equipped with practical, hands-on skills in malware analysis and teamwork, preparing them for roles in cybersecurity.

This course offers a comprehensive exploration of the techniques and methodologies employed in ethical hacking practices. Beginning with an introduction to the ethical hacking landscape, students delve into essential skills such as footprinting, reconnaissance, network scanning, and enumeration. The curriculum progresses to cover system hacking, malware threats, and exploits, addressing sniffing, spoofing, and the intricacies of social engineering. The latter half explores advanced topics including web application hacking, wireless network security, SQL injection, and database hacking. The course will also cover tools and techniques for password cracking, web application testing, and wireless network security testing. Moreover, students will collaborate in a group to implement security solutions that meet security needs

This course prepares students for the final-year Capstone project by emphasizing project planning and preparation within the Cyber security field. Students will identify a technical industry challenge, analyze it, and define both functional and non-functional requirements to propose an innovative, computing-based solution. Students will work in groups of 2-4 members to foster collaboration, and each group will be assigned an academic supervisor and an external industry practitioner to guide topic selection, ensuring alignment with industry needs and student interests. Throughout the course, groups will collaboratively develop a comprehensive project proposal that includes objectives, a literature review, research design, intellectual property considerations, as well as budget and schedule management. The course culminates in a group proposal defense conducted in an oral format, with individual contributions assessed through reflective papers documenting each student’s involvement and learning experiences. Emphasizing project management, teamwork, collaboration, and presentation skills, this course equips students with the practical skills necessary to tackle real-world challenges in the field of cyber security.

This Capstone Project course represents the culmination of the Bachelor of Cybersecurity Engineering program, requiring students to integrate and apply their knowledge and skills to address real-world cybersecurity challenges. Working individually or in groups of 2–4 members, students will identify a security problem, conduct in-depth research, design and implement a solution, and evaluate its effectiveness. Emphasis is placed on developing a comprehensive project proposal, executing a detailed implementation plan, and demonstrating the project outcomes through a final presentation and report. The course fosters interdisciplinary collaboration, ethical considerations, project management skills, and effective communication.

The Cybersecurity Engineering Internship program is a critical component for graduation, designed to bridge the gap between academic theories and real-world applications in the field. Students must engage in practical work experience, applying their robotics engineering skills professionally. During the internship, students are expected to submit four detailed reports, documenting their tasks, the skills they applied, and the new competencies they developed. The program culminates with an oral presentation, where students reflect on their overall performance, challenges faced, and the knowledge gained throughout their internship experience.

This course provides a comprehensive introduction to electric and electronic circuits, blending theory with hands-on labs. Students will analyze circuits using fundamental laws and advanced techniques such as nodal and mesh analysis. The course covers AC circuits, semiconductor devices like diodes, BJTs, and FETs, and operational amplifiers. Circuit simulation tools are also introduced to enhance design and analysis skills. Collaborative teamwork in labs and projects is emphasized, preparing students to apply their knowledge to real-world circuit challenges.

This course offers an introduction to electronic models with logic design and the basic concepts used in digital systems. The course covers the design and applications of combinational logic components and sequential circuits. The course includes details of how computer systems are developed by highlighting the basic concepts involved in computer theory like truth tables, binary arithmetic, and standard representation of logic functions.

This course provides a comprehensive introduction to the principles and practices of embedded systems design. Students will explore key concepts such as embedded system architecture, real-time operating systems (RTOS), sensor and actuator interfacing, communication protocols, memory management, and power optimization techniques. The course emphasizes both theoretical understanding and practical implementation, with hands-on lab work involving microcontrollers, peripherals, and debugging tools. Throughout the course, students will work in teams to design, implement, and present a complete embedded system project, integrating real-time requirements, communication protocols, and power management strategies. By the end of the course, students will be equipped with the knowledge and skills to design and troubleshoot embedded systems used in various industries.

This course provides an in-depth study of operating system concepts, focusing on the fundamental components, structures, and services that manage computer hardware and software resources. Students will explore core topics such as process and thread management, CPU scheduling, memory management, file system structures, and I/O systems. The course emphasizes the role of operating systems in maintaining system security, addressing potential vulnerabilities, and implementing secure practices. Through practical exercises and hands-on projects, students will gain experience in using various operating system techniques, such as process synchronization, deadlock detection, memory allocation, and RAID configurations. Additionally, students will develop teamwork skills by collaborating on projects that tackle real-world operating system challenges. By the end of the course, students will have a comprehensive understanding of operating system concepts and their application in building efficient computing systems.

This course discusses the main concepts of computer architecture and organization, such as the behavior and structure of different computer functional modules. Students will learn as well as how these functional modules interact to meet users’ processing needs. In addition, the course will introduce students to basic computer organization, data representation and computer arithmetic, digital components, digital logic circuits, register transfer, microprogrammed control, input-output organization, central processing unit, memory organization and pipelining.

This course introduces fundamental concepts and principles of AI, exploring its risks and benefits in various applications. Students will learn problem-solving techniques, including search algorithms, adversarial search, and game theory. The curriculum covers knowledge representation and inference, focusing on first-order logic and instrumental planning. It also addresses uncertain knowledge through probabilistic reasoning, Bayesian networks, and decision-making strategies. A significant portion of the course is dedicated to machine learning, with practical exercises that reinforce understanding. The course culminates in a group project, enabling students to apply their AI knowledge to solve real-world problems.