Department Compulsory Requirements

 T1207   Selected Topics in Mathematics

This course reviews the basic concepts of real numbers and their properties, exponents and logarithms properties. In
addition it gives the students basic knowledge of linear algebra concepts includes; matrices and their operations,
determinants, invertible matrices, solving linear systems of equations, vector spaces, eigenvalues and eigenvectors,
and linear Transformations. Also, it studies basic number theory concepts; divisibility theory, linear diophantine
equations, prime numbers, prime factorization, and congruence’s. Then, relations will be discussed including
definitions and examples, inverses and composites of relations, equivalence relations, and partitions. Next, we
introduce the basic concepts and results for graph theory. At the end, we do almost the calculations we see using
Mat Lab software.

T1219   Theory of Computing

The course includes the following topics, Introduction to the theory of computation , deterministic and non-deterministic automata, regular expressions, context free languages, push down automata, and Turing machines.

T1224   Computer Logic Design

This course combines digital logic design with computer organization and architecture. The first part covers number systems and conversion, minterm and maxterm expansions, combinatorial logic circuit, examples of common combinational circuits such as: adders-subtractor, multiplexers, encoders and decoders, sequential circuits flip-flops, counters and registers. The second part of this course introduces the concepts of computer architecture and organization, it covers: machine level data and instruction representation, CPU performance analysis, organization of the processor datapath and control, pipelining and memory system hierarchy

T1229   Data Structures and Algorithms

This course will cover data structure basics including arrays, records, classes and objects, stacks, queues, it also covers algorithm design and analysis techniques such as divide-and-conquer, dynamic programming, and greedy algorithms. Specific topics include algorithm analysis, recurrences and asymptotic analysis; searching, sorting; algorithms for fundamental graph problems, such as depth-first search, connected components, topological sort, shortest paths. Hash tables and recursion are covered as well.

T1230   Data Structures and Algorithms Lab

The lab focuses on applying the concepts of data structures and algorithms and their implementations in solving problems. These applications include uses of ADT like list, stack, queue, trees, and graphs. Analysis of algorithm behavior asymptotically and comparisons among them using different algorithm techniques incremental, and divide and conquer techniques. Practice on using greedy and dynamic programming meta techniques to solve optimization problems.

T1152    Discrete Information Structures

This course focuses on the fundamentals of logic (the laws of logic, rules of inferences, quantifiers, proofs of theorems, digital logic circuits, numbering systems), Fundamental principles of counting (permutations, combinations), set theory, relations and functions, graphs, trees and sorting.

T1214   Data Base Systems (1)

This course aims to give the students the ability to design databases. We will stress the fundamentals of data modeling and design. The languages and facilities provided by database management system and system implementation techniques. We will introduce the students the basic concepts and terminology, and conceptual modeling principles

T1323   Operating Systems (1)

The course will start with a brief historical perspective of the evolution of operating systems over the last fifty years and then cover the major components of most operating systems. This discussion will cover the tradeoffs that can be made between performance and functionality during the design and implementation of an operating system. Particular emphasis will be given to three major OS subsystems: process management (processes, threads, CPU scheduling, synchronization, and deadlock), memory management (segmentation, paging, swapping), and file systems; and on operating system support for distributed systems

T1225   Data Base Systems Lab.

This course complements the database 1 course where practical issues in database are discussed. Students are taught basic skills on using MS ACCESS database management system according to theory of database provided in database 1 course

T1400   Field Training

students are required to perform a field training in companies related to IT, the training hours required are 160 hours. students are followed up by faculty of IT

T1470   Introduction to Graduation Project

students are required to study and analyze a problem related to IT. they should then propose and analyze solutions to the problem and the choose the most suitable solution according to some criterion. students should follow software engineering steps for the analysis of the problem and the design of the solution. this course is a prepares students to implement their graduation project

T1474   Graduation Project

following the introduction to graduation project course, students here will implement their solution according to their analysis in the previous course. students are then asked to defend their work in a jury of three members of IT faculty staff. students are asked to submit their original work with the final formal documentation for their project.

T3280   Introduction to Computer Networks

This course introduces the essential principles of computer networks, with a focus on network architecture, layered protocol structures, and the fundamentals of data and packet communication. Students will examine the foundational concepts of network design, starting with the architecture that supports scalable and reliable communication. Key topics include the data link layer—covering framing, error detection, error correction, and link-level flow control—and the network layer, which addresses packet forwarding, routing protocols, and logical addressing. By the end of the course, students will gain a comprehensive understanding of the protocols and mechanisms that enable reliable and efficient data exchange across networks, preparing them for advanced studies in networking..

T2203   Web Programming (1)

The course aims at introducing the fundamental concepts and languages of the Web - including HTML5, CSS3, and powerful JavaScript libraries. Students will learn the semantics of a web page and how to abstract information in a universal form on the web with HTML5. Students will learn how to make things "pretty" and presentable using CSS3. And finally - interactivity and user-personalization will be added using JavaScript. By the end of the course, students will understand: the fundamental cross-browser issues that inhibit the progress of web technology as we know it, the ideas behind a well-designed interactive website for the Google Chrome and Mozilla Firefox browsers, and the tools needed to continue learning.

T3281   Networking protocols

This course provides a detailed understanding of essential Internet protocols. It includes ARP, IP, ICMP, IGMP, UDP, TCP, routing protocols such as RIP, OSPF and BGP, multicasting and multicast routing protocols such as DVMRP, MOSPF and PIM, application protocols such as DNS, DHCP, FTP and HTTP.

T1309   Mobile Devices Programming (1)

This course aims to introduce the basic principles of mobile programming under mobile operating system such as Android OS . Students will learn how to install the libraries and plug-ins required to build a mobile application, how to use components in their applications, and how to publish their application in a format that can be installed on mobile devices.

T3282   Wireless networks

This course provides a foundational understanding of wireless communication principles and technologies, focusing on the architecture, standards, and protocols that enable modern wireless systems. Students begin with an introduction to the fundamentals of wireless communication, including the history, evolution, and basic structure of wireless networks. Key topics include wireless signal propagation, with a focus on factors affecting signal strength and the challenges posed by fading. The course then explores essential modulation techniques for transmitting information over wireless channels, along with channel coding and error control methods to ensure reliable communication. Additionally, students will examine multiple access techniques such as FDMA, TDMA, CDMA, and OFDMA. This course is ideal for those looking to understand the core technologies driving wireless communication networks

T3287   Cyber security

This course aims to give a broad understanding of computer security. Topics include security risks, attacks, prevention and defense methods; techniques for writing secure programs; an overview of the foundations for cryptography, security protocols and access control models

T3283   Networking protocols Lab

This course covers the practical part of basics of networks protocols course. In this lab students will use practical and simulation tools for implementing and applying different types of protocols for networks settings scenarios. Mainly student will do experiments related to application layer protocols and network layer protocols.

T3290   Computer networks Lab

A set of experiments to design, apply, analyze, and evaluate communication network protocols. Students should employ their knowledge to identify a problem, propose alternative solutions, implement a prototype using available network protocols, and evaluate the results.

T3381   Basics of Information systems Security

Covers the concepts of information assurance, explicit and implicit policy design, use of basic computer security mechanisms, authentication, access control, policy types. Topics include: Design and use of basic network security mechanisms, asset identification and valuation, determining threats to assets and their vulnerabilities, prioritizing and selecting countermeasures, implementing and deploying countermeasures, and continuing maintenance and assessment of security mechanisms. Introduces firewalls, network intrusion detection, Viruses, Worms, Trojan horses, and other forms of malicious code

T3386   Basics of Cryptography

This is an introductory course on the methods, algorithms, techniques, and tools of data security and cryptography. The course covers the following topics, Classical Cryptosystems, Basic Number Theory, Block Cipher Algorithms: DES, 3DES, and AES, Public Key Cryptography: RSA, Discrete Logarithms, and Digital Signatures.

T3389   Wireless Protocols and Security

This course explores key wireless communication standards and protocols that shape modern connectivity, beginning with IEEE 802.11 standards for wireless LANs, including Wi-Fi protocols, performance optimizations, and security advancements. It then covers IEEE 802.15, which supports low-power, short-range wireless communications for personal area networks and IoT applications, including Bluetooth and Zigbee technologies. Students will further examine LTE-Advanced and 5G networks, studying their architectures, capabilities, and improvements for modern broadband. The course also addresses wireless security, discussing encryption, authentication, and data integrity protocols essential for secure communication. This comprehensive approach prepares students for expertise in advanced wireless standards and technologies across diverse applications in networking.

T3487   Penetration testing

This course covers in-depth methodologies, techniques, and tools used to identify vulnerabilities, exploit, and assess security risk to networks, operating systems, and applications. students will learn techniques to expose weaknesses in a network or system by employing reconnaissance, published data, and scanning tools. at the end , students will use their skills and knowledge to test and improve systems and network security.

T2341   Web Programming (2)

This course aims at providing students information, knowledge, and skills necessary to design and develop dynamic, database-driven web pages using Application Server Scripting language. More specifically, this course introduces the Application Server language syntax and semantics. Also, it covers in depth the most important techniques used to build dynamic web sites. Additionally, students learn how to connect to any database, and perform hands on practice with a database to create database-driven HTML forms and reports. Additionally, students will learn Web programming skills/techniques such as user authentication, data validation, dynamic data updates, and manipulating of server XML/JSON files. Students also learn how to configure Application server with Web Server.

T3320   Computer Networks Administration

This course teaches the skills needed to install, configure, and manage a network infrastructure using the latest Windows Server 2022 operating system. This course will help and protect your network by applying different strategies “in securing and administering your networks” using Active Directory Domain Service (ADDS) rule, Group Policy Management, DNS, DHCP, IIS installation and configuration, Certification Authority for secure certificates, Remote Access Server and VPN

T3321   Computer Networks Administration Lab

Course teaches VMware, installation and configuration, Using PowerShell commands to test and check networks, installation of Server 2022, adding ADDS rule to server, creating users and groups, managing DNS server, Applying Group Policy Object to maintain control over users and PC’s, Installation of IIS rule to create websites, Installation of Certification Authority to create https for servers and internal websites sites, Installation of RAS rule for VPN and remote access

T3486   Computer Networks Defense

Concentrates on computer network defense and countermeasures by providing a solid foundation in advanced network security fundamentals. Covers both the theoretical and practical aspects of network security. The concepts of the defense-in-depth strategy and technologies are covered along with network security policy design and implementation. This is followed by the three key network defense technologies in depth: firewalls, intrusion detection and prevention systems, and virtual private network.

T3490   Computing Forensics and Incident Response

The course will learn students how to investigate the digital artifacts left on hard drives, logs and other networking devices. It focuses on how to conduct data preservation and analysis on different platforms. Students will also get exposure to the Techniques, Tactics and Procedures (TTPs) of the prominent Threat Actors and will learn to conduct digital investigations with a sound process by first learning about different kind of attacks and how they can be detected via forensic investigations. Understanding the concepts of Evidence Collection, Host-Based Analysis, Memory (RAM) Analysis and Log Analysis

T3495    Computing Forensics and Incident Response Lab

The lab will focus on practical training of conducting investigations on the digital artifacts left on hard drives, logs and other networking devices. It provides students with best tools and procedures used conduct data preservation and analysis on different platforms. students will apply the knowledge they obtained during the course to practically perform evidence collection, analysis , and reporting for different investigations scenarios.

Department Elective Requirements

 T1283   IT Project Management

The IT Project Management course introduces the fundamentals of project management, beginning with project definition through the post-project review. There will be emphasis placed on applying project management concepts and techniques to IT projects. This includes consideration of project planning, scheduling, budgeting, human resources and the consideration of change management required to implement projects

T1310    Mobile Devices Programming (2)

This course aims to teach students full programming of mobile applications and how to link them to databases taken in the database management course, in addition to the possibility and release of the application on various promotional methods, the course also contains how to design the application in very easy ways, and to view the user

T1317   Special Topics

The topics of this course are selected among different recent topics in the field of IT. the topics are selected by the instructor of the course and students will be informed of the contents of the course during registration time.

T2340   Multimedia Programming

This course is providing an easy-to-follow introduction to creating interactive multimedia applications. Students will be familiarized with a programming language designed for interactive multimedia development using OOP Principles. The course then moves on to multimedia tools, where students will discover how to integrate 2D/3D graphics, audio, animation, and video into interactive applications. Students will have the skills to develop and deploy interactive applications, on multiple platforms such as desktop and mobile

T1315   Data Base Systems (2)

This course provides an in-depth exploration of advanced database concepts, focusing on both SQL (relational) and an introduction to NoSQL (non-relational) database systems

T1315   Data Base Systems (2)

This course provides an in-depth exploration of advanced database concepts, focusing on both SQL (relational) and an introduction to NoSQL (non-relational) database systems

T2445   Introduction to XML and Semantic Web

This course aims to provide the basic overview of the Semantic Web and how they can be applied to enhance data exchange and integration. Students will firstly learn the core fundamentals of XML (Extensible Markup Language) as a standard for data interchange between applications and between organizations, and XML related technologies — including XSL, schemas, XPath, XQuery and DOM. After that, students will learn the basic overview of what the Semantic Web is and how it can be applied, mainly the Semantic Web language, RDF graph database (i.e., RDF triple store), and its applications.

T3483   Distributed Systems

This course provides an overview of the principles and challenges involved in designing and implementing distributed systems. Topics include communication protocols, fault tolerance, data consistency, scalability, and distributed algorithms. Students will learn how multiple computers coordinate to provide reliable, scalable, and fault-tolerant systems for real-world applications. By the end of the course, students will have the foundational knowledge to understand and evaluate the architecture and design of distributed systems

T3484   Cloud Computing

This course first introduces cloud computing and its platforms and then it looks at how scale affects systems properties, issues (such as virtualization, availability, locality, performance, and adaptation), system models, architectural models, environment and application requirements (such as fault tolerance, content distribution). This course also reviews the state of the art in resource management of cloud environments (composed of different platforms and organizations) to support current applications and their requirements

T3395    Internet of Things Fundamentals

The Internet of Things (IoT) is transforming industries by enabling advanced data collection, connectivity, and analysis across a vast array of connected devices. This course provides a foundational understanding of IoT, covering key components, technologies, and concepts essential to creating IoT solutions. Students will learn the fundamentals of IoT architecture, communication protocols, and data analysis, gaining insights into how IoT integrates with cloud computing and big data. Real-world case studies will showcase successful IoT implementations, highlighting the potential business opportunities and innovations IoT can uncover

T3387   Protocol design and validation

This course is an introduction to the formal design, specifications, and validation of communication protocols. Topics include structured protocol design, protocol models, protocol validation, and protocol correctness requirements. Protocol modeling techniques such as FSM models and Petri net models are considered. Protocol verification techniques: Communicating FSM, reachability analysis, verification using checking, protocol design validation. A known verification modeling language such as PROMELA is considered. Specification and Description Language (SDL) may be considered.

T1211   Data Analysis

This course introduces students with essential skills in analyzing and interpreting data using common tools and techniques. It typically covers topics like data cleaning, basic statistics, transformation,
visualization, and working with tools such as Excel, R, SQL, or Python
libraries to manipulate and analyze data. By the end of the course, students should be able to import, manipulate, and visualize datasets to uncover trends and insights for decision-making

T1311   Data Engineering

The Data Engineering course provides students with the skills needed to design, build, and maintain scalable data pipelines essential for data science workflows. Covering topics like data architecture, data storage, and distributed systems, the course focuses on tools and technologies such as SQL, Hadoop, Spark, and cloud platforms. Students will learn how to handle large volumes of structured and unstructured data, ensure data quality, and optimize data processing for efficiency and scalability. The course also emphasizes the importance of integrating data systems to support machine learning models and analytics, preparing students for critical roles in the data science ecosystem

T1344   Artificial Intelligence

This course provides a comprehensive introduction to the field of Artificial Intelligence, designed for students who are new to the topic. It covers fundamental concepts and techniques used to build intelligent systems, with an emphasis on both theoretical foundations and practical applications. Students will learn about intelligent agents, problem-solving and search algorithms, supervised and unsupervised learning algorithms, Knowledge representation, and reasoning about knowledge

T1345   Machine Learning Techniques

This course provides a broad introduction to machine learning and statistical pattern recognition. Topics include: supervised learning (generative/discriminative learning, parametric/non-parametric learning, neural networks, support vector machines); unsupervised learning (clustering, dimensionality reduction, kernel methods); learning theory (bias/variance tradeoffs, practical advice); reinforcement learning and adaptive control. The course will also discuss recent applications of machine learning, such as to robotic control, data mining, autonomous navigation, bioinformatics, speech recognition, and text and web data processing

T1413   Advanced Topics in Data Science

This course will comprise selected and advanced topics in computational challenges associated with data analysis. The topics may change from year to year and are approved by the department once the course is offered.

T1203   Human Computer Interaction

This course explores the principles and practices of Human-Computer Interaction (HCI), focusing on the design, evaluation, and implementation of interactive computing systems for human use. Students will examine user-centered design processes, usability principles, and evaluation techniques essential for creating intuitive, accessible, and effective digital experiences. Through hands-on projects, students will learn to analyze user needs, design user interfaces, and apply prototyping tools to build and test interactive applications. Topics include cognitive psychology fundamentals, interaction design, visual design principles, accessibility, user research methods, and emerging HCI trends like virtual and augmented reality, AI-driven interfaces, and ubiquitous computing. By the end of the course, students will gain the skills needed to create user-friendly applications across various platforms and devices, preparing them for roles in user experience (UX) design, usability engineering, and product development.

Cybercrimes Courses

L2101   Introduction to the Study of Law

L1402   Fundamentals of Investigations in cybercrimes

L1202   Crimes in Communication and Information Technology

L1420   Rules of Proof in Cybercrimes