The course Artificial Intelligence (AI) begins with introducing the basic concepts of artificial intelligence and its risks and benefits. The course also covers problem-solving techniques using search, adversarial search, and game algorithms. Furthermore, the course deals with knowledge, inference, and planning, including first-order logic, knowledge representation, and instrumental planning. In addition, the course discusses uncertain knowledge, and reasoning including probabilistic reasoning, Bayesian networks, and simple decision-making. Finally, the course introduces the concept of machine learning.
Students will have the opportunity to work on practical exercises in Python and a group project where they can apply AI techniques to solve problems. By the end of the course, students will have practical AI skills that they can use to tackle real-world problems.

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.

This course discusses the main concepts of computer architecture and organization, such as the behavior and structure of different computer’s 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 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 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 aims at providing students with a comprehensive understanding of the foundation of data structure and algorithms using Python as an implementation medium. The course aims to introduce the fundamental topics and techniques in data structure as the Analysis of algorithms and complexity, searching and sorting algorithms, and fundamental data structures.

The course starts with a review of Python programming language, then the course moves to the analysis of algorithms and their complexity using Big-O notation to allow students to evaluate the performance of algorithms to select the most efficient algorithm for a given problem and to implement them using Python.

The course exposes students to the fundamental linear and non-linear data structure and their applications including Stack, Queue, Deque, Linked list, Recursion and applications on recursion, Trees and Trees algorithms as binary search tree and its implementation, and finally graphs and graph algorithms as breadth and depth-first search algorithms.

The course is heavily dependent on the implementation of the covered topics using Python. During the course, students will work on individual assignments and group-based final projects.

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 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 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 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 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.

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 the student with a comprehensive introductory 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 evidences, 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 evidences in computer in private and public investigations. General legal issues such as handling evidences, chain of custody, admissibility, search warrants, and working with law enforcement are also covered. Several hands-on lab exercises that includes working, analyzing, and examining digital images and evidences will be carried out throughout this course.

This course covers the essential operating system concepts. The students will be provided an introduction to operating systems including a brief history of development through the years and the five managements under each operating system. The course will also cover the topics including processes and threads in context of resource management, memory management and related schemes, CPU scheduling algorithms and file systems. Several alternative algorithms related to page replacement policies and CPU scheduling are discussed along with understanding their advantages and disadvantages. The role of the device manager will be emphasized in the context of resource sharing. Other topics such as concurrent processes and synchronization, deadlocks and security are also presented briefly. Furthermore, the students will get hands-on practical labs on modern Operating Systems including Linux and Windows. The advanced labs will introduce the practice of a scripting language to understand the various topics presented through the course outline.

This course provides an introduction to computer programming using Python, assuming no prior programming experience. This course introduces students to the fundamentals of computational problem-solving, covering principles of logical thinking, algorithm-based problem-solving, and implementation using a programming language. The course emphasizes both concepts and practices. Students will learn problem-solving techniques, programming best practices, and coding skills. Topics covered include variables, assignment statements, input/output statements, selection, repetition, and functions.

The course includes labs, assignments, midterm, and final exams to reinforce learning. Students will acquire practical, hands-on experience and collaborate on the group-based final project and through various laboratory activities conducted throughout the duration of the course.

This course teaches students how to reverse engineer legacy software systems using Ghidra and IDA to identify vulnerabilities and risks. Students will learn how to analyze the behavior of these systems using static and dynamic analysis techniques and use debugging techniques to troubleshoot issues. To demonstrate their skills, students will analyze a Windows executable using various techniques. In addition, the course will address x86 and x64 computer architectures, analyzing legacy software systems, reversing malware, static and dynamic analysis techniques, data encoding, debugging techniques, binary obfuscation techniques, and packing and encryption.
The course emphasizes teamwork and collaboration in a group project where students will design and implement practical solutions for real-world malware analysis problems. By the end of the course, students will have a comprehensive understanding of legacy software systems and be equipped with the necessary tools to identify and address security threats.

The course builds on prior knowledge gained in network essentials. The course introduces mobile technologies used for cellular communication. Topics covered include transmission fundamentals, protocols and the TCP/IP suite, antennas and propagation, coding and error control, satellite communications, mobile IP and Wireless Access Protocol and IEEE 802.11 Wireless LAN Standard. The main goal of the course is for students to learn and demonstrate knowledge of concepts, issues, tools, techniques and methods associated with mobile technologies and future trends in wireless communication. The course also provides hands-on introduction to write code for data communication over latest mobile and wireless networks.

This course is designed to provide a needed background to understand computer networks. It describes types of networks, how networking affects society, and the components and tools that are used to create networks in various business models. The course also introduces networking, offering easy-to-follow details on hardware, networking protocols, remote access, and security. New networking professionals will first learn what they need to know about network technology, and then how to apply that knowledge to set up, manage, and secure networks.

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 layer to mitigate risks and learn about encryption and decryption techniques to ensure data confidentiality. They will use security tools and technologies such as IDPS and VPN to secure network endpoints and systems to explore anonymity and pseudonymity techniques for user privacy law and compliance standards. The course will cover other topics including malware and social engineering attacks, host, application, and data security, administering a secure network, wireless network, and mobile device security, access control fundamentals, authentication and account management, business continuity, and vulnerability assessment. 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 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 acquired knowledge through the course.

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 flavours. Students learn to monitor, secure and configure an operating system using a UNIX flavours.

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.