Introduction: the importance of studying Arabic, the need for mastering Arabic, the importance of Arabic in nationalistic, religious, civilization and cultural frames, the role of civilization in effacing Arabic, some grammatical rules: words, sentence structures, verbal sentences, some dictation rules, looking up words.

Nouns (types, function, derivations), adjectives (types, sequence, derivations) adverbs (forms, position), use and forms of the ultimate tense, interrogative formations, negative of verbs. Passive constructions (forms, usages), adjective clauses (recognition and types, case of relative pronoun), gerund phrases, infinitive phrases, listening comprehension.

Current and voltage: resistance and resistivity, Ohm's law, Power, energy, series and parallel resistance cuircuits, Kirchoff's laws. Waveforms: sinusovoltage: resistance and resistivity, Ohm's law, Power, energy, series and parallel resistance cuircuits, Kirchoff's laws.Waveforms: sinusoidal AC voltage and current, inductance, phase relations and elements of phasor, digital waveforms, digital timing (clock signals, jitter, drift, skew, hysteresis.Semiconductor diodes: semiconductor materials, extrinsic materials (n-type & p-type, energy levels, diode notation, diode equivalent circuits, transition and diffusion capacitance, reverse recovery time, zener diode and LEDs.Diode applications: load line analysis, diode approximation, series diode configurations, parallel and series-parallel configuration, AND/OR gates, half-wave rectification, full-wave rectification, clippers, clampers, voltage multiplier circuits

The course introduces modern management techniques that are used for the marketing, selling, and distribution of goods and services through the Internet. Topics include: E-business Strategy, Business Models in the new world, Cyber-services, E-business relationships, E-business technology, E-Marketing and e-payment, Antecedents and barriers to e-commerce, Business Process Management, Case studies with LAB work.

This course introduces the student to different heuristic techniques that aid programmers and computer scientists in solving problems. The course uses classical math and word problems for generating potential solutions to ''real-life'' problems encountered in the profession, and problem solving in teams. Topics covered include: Errors in reasoning; verbal reasoning; analogy problems; heuristics; mathematical word problems; analysis of trends; lateral thinking; deductive and hypothetical reasoning; computational problem solving; problem solving in-the-large; generating, implementing, and evaluating solutions; discrete mathematics, statistics; interpersonal problem solving.

This course provides students with basic concepts of real functions in a single variable, and concepts of ends and continuity. It also addresses the rules of differentiation. This course aims to develop the student's ability to determine the types of real, compulsory and non-compulsory functions, to chart them, to determine the scope, extent and reverse functions of them, to determine the existence of the end, as well as to know the continuity of the functions and to determine whether they are derivable. The course also aims to enhance students' skills in drawing curves using preferential concepts and demonstrations, through scheduled training and the diversity of evaluation methods. The rapporteur focuses on understanding real functions in a single and derivative variable and its applications that help him to understand the behaviour of multiple functions in his future study.

Some grammar rules, nominal sentences (starters, predicates and comparing them, abrogatives), addition, numbers and specifiers, appositives, some dictation rules, dictionaries, scientific and literary styles and their application.

Vector Calculus: Vector Function. Derivative of a Vector function. Gradient of a scalar function. Divergence and curl of vector functions. Directional derivative and calculation of pressure, Kinetic interpretation of energy.Linear Algebra: integral of matrices. Addition and multiplication of matrices. Inverse of square matrix. Orthogonal, Hermition and Unitary matrices. Properties of determinants and expansion of the determinants. Solution of nonhomogeneous linear equations by Cramer’s rule. Elementary operations. Echelons and reduced echelon forms. Rank of a matrix. Equivalent matrices. Gauss-Jordan elimination method. System linear homogeneous and nonhomogeneous equations vector spaces. Subspaces. Linear dependence and independence Span, Basis and Dimension. Eigen value problems Eigen vectors. Cayley - Hamilton theorem.

Introduction and augmentation of specialized vocabulary and aspects of scientific technical English used in the different departments of engineering. Listening comprehension

An introduction to computing and program development in the C programming language. This includes a brief introduction to basic computer concepts, an understanding of the operating system sufficient for writing program. introduction to computer programming; Getting started in C programming: introduction to basic program syntax; Printing messages, data types and declarations, numeric and character data, expressions, printing results, and variables; Processing and interactive input: assignments, counting, and input and output of data; C's conditional statements; C's looping statements; Modularity using functions: user--defined functions, parameters and return values, standard library functions, scope, call--by--reference; More modularity using functions: scope, storage class, and call--by--reference; Arrays: single and two dimensional arrays, initializers, array parameters; Character strings: processing strings using loops, some character and string library functions; Structures: structure concepts, structures as parameters, arrays of structures; Additional or miscellaneous topics other material as time permits.

This course provides a methodical approach to developing computer systems including feasibility study, systems planning, analysis, design, testing, implementation and software maintenance. Emphasis is on the strategies and techniques of systems analysis and design for producing logical methodologies for dealing with complexity in the development of information systems. The course includes the Waterfall model (The System Development Life Cycle), system analysis and design techniques (Process Modeling (DFDs), Logical Modeling (decision tree, decision table, structured English), Data Modeling (ERD Diagrams), Object Oriented Modeling (UML use cases).

Introduction to information representation & number systems and codes; Boolean algebra and logic gates; simplification of Boolean functions; Analysis and design of combinational logic circuits; multiplexers; Decoders and adders,; Introduction to synchronous sequential logic; flip flops; Analysis and design of clocked synchronous sequential circuits.

Probability: concept of a random experiment and sample space; addition and multiplication laws of probability; conditional probability and independence, Bay's theorem and its application. Random Variables and their probability: Conditional Probability; Binomial , Poisson, Hyperogeomtric, Normal , Gamma , Exponential and uniform random variables and their properties. Basic statistical concepts: Statistical data, measures of central tendency; dispersion skewness and kurtosis.Regression and Correlation: simple, linear regression; regression coefficient and correlation coefficient. Fitting of linear and curve linear regressions, Multiple linear regression and multiple.Test of Significance: Basic concepts; use of normal test and t-test for hypothesis testing for a mean and the differences of two means. Use of X2 distribution for testing independence and goodness of fit

This course covers: Introduction to Object-Oriented Programming, introduces students to object-oriented programming concepts, such as classes, objects, methods, interfaces, packages, inheritance, encapsulation, and polymorphism. These concepts are emphasized through extensive programming examples and assignments that require problem solving, algorithm development, top-down design, modular programming, debugging, and testing

This course offers an introduction to software engineering. Topics covered: Software Engineering fundamentals; Software processes; Object-oriented concepts and UML; Requirements analysis; System modeling and specification; Software design models; from design to implementation; Software testing; Software tools; Emerging software development methods; Teamwork.

Introduction to fundamental concepts in the design and implementation of computer communication networks, their protocols (OSI model vs TCP/IP protocol stack), applications, circuit and packet switching access networks. Introduction to Application Layer, topics include: Web, HTTP, FTP, Email, DNS, and socket programming. Introduction to Transport Layer, topics include: UDP, TCP, flow control, congestion control. Introduction to Network Layer, topics include: routing principles, IP routing, IPv4, IPv6, broadcast, multicast, unicast. Introduction to Link Layer and local area networks, topics include: error detection/correction, multiple access protocols, LAN, Ethernet. Basics of physical layer and wireless networking and related Security issues.

This course include these topics: Number systems: natural numbers, radix r representation of integers, mathematical induction. Logic: propositional logic, predicate logic. Boolean algebra; sets; recursion; relations, and functions. Combinatory: counting principles; permutation groups. Graphs: graphs; diagraphs; trees; Euler's formula and coloring of graphs. Formal machines: automata and regular expressions; register machines: turning machines.

This course is a programming course; students need to implement all discussed topics by any programming language in class per class fashion.This course include these topics: Introduction to error analysis, root finding methods for non-linear equations (interval halving, false position), Newton’s method, definition of interpolation, Newton’s-Gregory interpolation, central interpolation (Gauss forward and backward, Bessel, Stirling), Least square approximation, Spline curves, Numerical differentiation, Numerical integration (Trapezoidal method, Simpson's), Numerical solution of ordinary differential equations (Taylor’s series method), Euler method, Runge-Kutta method.

This course introduces students to the basic principles and practices of computer and information security. Focus will be on the software, operating system and network security techniques with detailed analysis of real-world examples. Topics include cryptography, authentication, software and operating system security (e.g., buffer overflow), Internet vulnerability (DoS attacks, viruses/worms, etc.), intrusion detection systems, firewalls, VPN, Web and wireless security.

Information systems are an integral part of all business activities and careers. This course is designed to introduce students to contemporary information systems and demonstrate how these systems are used throughout global organizations. The focus of this course will be on the key components of information systems - people, software, hardware, data, and communication technologies, and how these components can be integrated and managed to create competitive advantage. Through the knowledge of how IS provides a competitive advantage students will gain an understanding of how information is used in organizations and how IT enables improvement in quality, speed, and agility. This course also provides an introduction to systems and development concepts, technology acquisition, and various types of application software that have become prevalent or are emerging in modern organizations and society.

System-level aspects of computing systems design, interconnection structures, Cache memory principles; Main memory; External memory; Input/ Output; CPU structure and function; computer arithmetic; instruction sets: characteristics and functions; instruction sets: addressing modes and formats; Control unit operation and design; Reduced Instruction Set Computers (RISC); Instruction-Level Parallelism and Superscalar Processors.

Introduction into internet and World Wide Web and their protocols, TCP/IP, MIME, http protocols. SGML – documents and their types. Html BASICS. CSS. Basics of Scripting languages programming. Server part of application (ASP, PHP,ASP.Net, or JSP), Web pages and accessing database(ADO and MS Access, or MySql).

This course introduce the fundamentals of database management system characteristics of DB approach, components of DB systems, DB architecture, Data modeling, Database users and administrators. Entity-Relationship model, Relational-Algebra, SQL Programming, Database design, Functional dependency and Normalization, Relational Database, Introduction to Object oriented database and UML, practical applications using a standard Relational DB system.

Classification of data structures, space and time considerations. Linked lists, stacks and queues. Tree structures, binary search trees. Array and pointer based implementations. Recursive applications. Sorting and searching.

The module introduces formal techniques to support the design and analysis of algorithms, focusing on both the underlying mathematical theory and practical considerations of efficiency. Topics include asymptotic complexity bounds, techniques of analysis, and algorithmic strategies.

This course include design methods and implementation techniques for the exchange of data between computers in computer networks, topics include data and data types, analog and digital data, signal types (examples of analog and digital signals), periodic signal characteristics, time and frequency domain representation, spectrum and bandwidth of a signal; transmission impairments and channel capacity which include: sources of impairment, attenuation and unit of attenuation, bandwidth of a medium, distortions, data rate limits, Nyquist bit rate, bit rate and baud rate, noise sources; transmission media including guided and unguided media; conversion techniques including digital to digital, analog to digital, analog to analog, and digital to analog conversion; coding techniques including line coding, Polar, and Bipolar coding; error detection and correction including types of error, error detection techniques, error correction codes; flow and error control including flow control techniques; data communication through WAN and LAN considering issues related to switching, Routing, Congestion Control, medium access control techniques.

Introduction to Local Area Network; LAN Components; LAN Applications;Data Communication Models; Data transmission; IEEE LAN Standards; Transmission Media; Error Detection; LAN Topologies; Flow & Error Control;Medium Access Methods; Logical Link Control (LLC); Ethernet; Ethernet Evolution: Fast and Gigabit Ethernet; Token Bus; Token Ring; ATM LANs; Wireless LANs; LAN Performance; Connecting LANs; TCP/IP; Data Encryption; Network Management.

Introduction to Network Programming; Transport Layer Protocols; TCP, UDP, and SCTP; Client-Server Model; TCP Sockets; UDP Sockets; SCTP Sockets; I/O Multiplexing; DNS and Address Conversion; Threads Programming; RPC, Raw Sockets and Datalink Access.

Cryptographic algorithms and protocols form the backbone of numerous security architectures. This course provides an introduction to modern cryptography and communication security. It focuses on how cryptographic algorithms and protocols work and how to use them. The course covers the concepts of block ciphers and message authentication codes, public key encryption, digital signatures, and key establishment, as well as common examples and uses of such schemes, including the AES, RSA-OAEP, and the Digital Signature Algorithm. Basic cryptanalytic techniques and examples of practical security solutions are explored to understand how to design and evaluate modern security solutions.

This course gives an introduction to mobile and wireless networks. Designing computer networks to support computer mobility. Mobile network architecture. Wireless technologies and protocols. Wireless LAN standards. Models for indoor and outdoor mobile networks. Systems issues such as performance. Quality of service guarantees, reliability, and security in mobile computing environment. Hardware and access protocols for mobile networks. Mobile application protocols.

This course deals with all essential concepts of operating systems. Starting with describing role of an operating system in managing different tasks during the processing operation. The course explains the process concept, in particular process description within an OS environment and its scheduling strategies. Also, it covers: memory management, virtual memory, I/O management and disk scheduling, file management. Mutual exclusion and synchronization, deadlock and starvation concepts and algorithms are discussed in details in this course supported with LAB work.

This course has been designed to be offered as an integrated course covering: - SIGNAL THEORY: Representation of deterministic signals: Orthogonal representation of signals. Dimensionality of signal spaces. Construction of orthogonal basis functions. Random Processes: Definition and classification, stochastic integrals, Fourier transforms of random processes, stationary and non-stationary processes, correlation functions. Ergodicity, power spectral density, transformations of random processes by linear systems. - DIGITAL COMMUNICATION SYSTEM: characterization of communication signals, signal space representation, equalization, matched filtering, binary PSK, QPSK, FSK, QAM & M-Ary modulation techniques and their representation. Coherent & non-coherent detection, carrier & symbol synchronization, bits vs. symbol error probability, bandwidth efficiency, Spread spectrum modulation: Pseudo noise sequences, DS & FH spread spectrum. - Satellite Communication systems: satellite link: design and analysis, multiplexing techniques, multiple accesses for satellite links: FDMA, TDMA CDMA &DAMA, propagation effects, DBS-TV, GPS. VSAT: Network architecture, access control protocol & link analysis. - DIGITAL SIGNAL PROCESSING: DFT & its properties. Decimation in time and decimation in frequency FFT algorithms, discrete cosine transform. IIR Filter design: Butterworth design, bilinear transformation. Low Pass, High Pass, Band Pass and Band Stop digital filters. Spectral transformation of IIR filters. - Cellular communication systems, Microwave Communication systems

This course covers layer 3 and 4 in TCP/IP standard architecture. Different routing principles such as Dijkstra’s and Bellman-Ford algorithms are studied in this course. Moreover, IP router standard router structure is studied in this course. Students taking this course will be aware of all details about most of the routing protocols in use today in the Internet and are able to compare them. Topics covered in this course include: introduction to layering and protocols; OSI standard architecture; TCP/IP standard structure; IP protocol; TCP protocol; routing in IP networks; interior gateway protocols (distance vector protocols: RIP, IGRP, EIGRP)(link state protocols: OSPF); exterior gateway protocols (EGP, BGP); standard IP router structure; routing in MPLS networks. LAN

Introduction to Fundamentals of WANs; WAN Concepts and Components; Wired and Wireless used in WAN networks; WAN environments, WAN architectures; Components involved in WAN; Physical Layer WAN Protocols; low & high-speed options for Physical Layer MAN/WAN; Data Link Layer WAN Protocols; Differences between circuit-switched and packet- switched networks; Higher Layer WAN Protocols; WAN Solutions Wide Area Networks; Standards WANs protocols and networks- X.25, Frame Relay- ATM network protocols, services and layering- SONET/SDH layers- Frame relay operation- layers and frames- Broadband Wireless networks; Voice and Video on WAN.

This course covers topics related to IT. It covers reading, grammatical, writing skills in the context ot IT. It covers topics such as: IT terminology definitions, relative clauses, clauses with: who, what, which, etc. It includes several reading and writing exercises.

This course studies how to plan and manage projects at each stage of the software development life cycle. It covers specific techniques of Planning, Organizing, Monitoring, and Adjusting phases of software projects. Topics include technical and managerial skills needed to achieve project goals. A required team project combines technical and managerial techniques of software design and development.

Introduction to distributed computing systems (DCS);Characteristics and specifications of distributed systems; architectural models of distributed models; Distributed Systems Models; Networks and Intranets; Operating Systems Support; Security in distributed systems; Distributed file systems; Domain and Addressing Services; Distributed Operations; Mobile Computing; Distributed Multimedia Systems

Principles of internetworking; Internetworking hardware; Bridging and switching technologies; Routing strategies. The network development life cycle. Network analysis and design methodology. Enterprise network design model. Backbone design concepts. Network security design; Network design algorithms; Standards Network Management Functions; Network Management Applications; SNMP Management Information; SNMP2 Management and Operation;SNMPv3 Documentation Architecture; SNMPv3 Management Information Base;SNMPv3 Applications; RMON SMI and MIB-RMON1-RMON2; Current Network Management; Web-Based Management; Distributed Network; Reliable; Fault Tolerant Network Management.

This course addresses the topics of Quality of Service (QoS) and efficiency in networks, topics include: introduction to Internet and wireless networks. QoS architectures for the Internet including IntServ, RSVP, and Diffserv; different classes of services and their QoS requirements; algorithms to provide QoS, traffic policing and traffic shaping algorithms; leaky bucket algorithms; algorithms to provide QoS locally including scheduling algorithms (FIFO, RR, WRR), queuing algorithms (RED, WRED, RIO, CBQ); classification of routing protocols in communication networks from the QoS perspective, routing protocols for ad hoc networks and QoS offered by each one; understanding the effect of QoS parameters (delay, jitter delay, percentage of packet losses, throughput) and QoS metrics (distance, available bandwidth, delay, jitter delay, losses, load) on the network performance.

Innovative topics in technologies, multiplexing methods, protocols and standards of fiber networks are discussed in this course. Students taking this course will be aware of all details about new multiplexing techniques and novel standard architectures of the state-of-the-art distribution high-speed networks. Topics covered in this course include: introduction to fiber networks; basic multiplexing techniques; advanced multiplexing technique :(wavelength division multiplexing (WDM), dense wavelength division multiplexing (DWDM)); standard optical distribution networks architectures: Fiber Distributed Data Interface (FDDI), Synchronous Digital Hierarchy (SDH) standards, Synchronous Optical Network standard (SONET), Ethernet Passive Optical Network (EPON) and Gigabit Passive optical Networks (GPON); fiber networks and multimedia; optical internetworking

Is an in-depth theoretical and experimental investigation of a specific problem in information technology. Developed through intensive group and / or individual studies, use of computer, analytic and experimental techniques where applicable.The graduation project is an in-depth study conducted individually or in small groups. The project will provide an opportunity for creativity and the development of the student's skill in finding non-traditional solutions to the problems that he will face on the practical side in the future. The aim is to develop the student's ability to plan, design, implement and report on a solution.The successful completion of the project depends on the experience that the student has already gained during the previous semesters, which gives him a sense of satisfaction to show his potential and apply what he previously learned. Each project has an academic supervisor who provides guidance and assistance as needed in regular meetings.Methods of teaching this course include self-directed activities, panel discussions, brainstorming, collecting information and documents, field visits and laboratory experiments.

Advanced topics in technologies, protocols, standards and future trends of multimedia over computer networks are discussed in this course. Students taking this course will be aware of all details about standard protocols that are used to take care about multimedia transportation from end-to-end in Internet. Furthermore, an introduction to quality of service and traffic engineering is covered in this course. Topics covered in this course include: review of standard TCP/IP protocol structure; standard multimedia protocols such as: session initiation protocol (SIP);session description protocol (SDP); real time transport protocol (RTP);real time control protocol (RTCP); real time streaming protocol (RTSP); resource reservation protocol (RSVP) and H.323 protocol; MPLS protocol and multimedia; study different multimedia applications such as VOIP; video conferencing and IPTV; introduction of traffic engineering and quality of service in IP networks; finally network analysis case study with OPNET tool.

The course present the state of the art in cloud computing technologies and their applications, topics include: introduction to cloud computing, Infrastructure as a Service (IaaS): resource virtualization (server, storage, network), Platform as a Service (PaaS): computation and storage, Software as a Service (SaaS): web services and web 2.0, telecommunications needs, architectural models for cloud computing, security, privacy, trust management, resource allocation and quality of service, pricing and risk management, interoperability and internetworking, legal issues, Students can familiar with cloud services and their techniques through labs and a project.

The aim of this course is to provide students with knowledge and understanding of how computing will be used in the future. It is about moving beyond the traditional desktop computing model, into embedding computing into everyday objects and everyday activities. Topics covered will include the visions of Ubiquitous Computing and some of its applications, Location in Ubiquitous Computing, Context awareness in Ubiquitous Computing, P2P networks systems, Human-computer interaction, Privacy in Ubiquitous Computing.

Wireless sensor networks are deployed in high densities in order to obtain detailed information about the operational environment. Applications range from environmental monitoring and seismic studies to mobile target tracking, military surveillance, and scientific exploration. Wireless sensor networks are expected to dominate every aspect of our lives in the near future. This course presents the fundamentals regarding the hardware and software of wireless sensor networks. Topics covered in this course include: Introduction to Wireless Sensor Networks, Applications, MAC Protocols for Sensor Networks, Routing protocols design challenges, Sensor networks database, Operating System requirements, Security issues in Wireless sensor networks, Case Studies.

This is a course on the concepts, architecture, design, and performance evaluation of personal area networks protocols and applications. At the conclusion of this course the student will have an understanding of these principles and be capable of implementing network protocols and applications for personal pervasive systems. Topics Covered: Wireless Information devices and wearable computers; PAN applications; PAN issues and challenges; Wireless PAN technology; PAN models and architectures; Wireless Technologies; Wireless LANs; IEEE 802.15, 805.11 standards; Bluetooth technology; Wireless access protocol – WAP; HomeRF protocol; Ad-hoc network protocols; Mobile and wireless networking; PAN middleware and agent architecture; Personal information system.

This course provides students with an introduction to information security policies. The course discusses the entire lifecycle of policy creation and enactment and presents students with issue specific policies in different domains of security. The structure of the policy is also discussed to assist the students in design and modification of policies. Several examples from different domains are incorporated to assist students to learn in context of real life situations. The topics covered by this course include General Overview of Policies, Policy Lifecycle, and Writing Security Policies, Information Classification and Privacy Policies, Network Security and Email Policies, Application, Operating System and Software Security Policy, Encryption and Key Management Policy, Security Policy: Audit and Compliance, Acceptable Use Policies and Training /Awareness, Security Policy: Enforcement and Effectiveness.

Students will learn the fundamental concepts of human-computer interaction and user centered design thinking, through working in teams on an interaction design project, supported by lectures, readings, and discussions. They will learn to evaluate and design usable and appropriate software based on psychological, social, and technical analysis. They will become familiar with the variety of design and evaluation methods used in interaction design, and will get experience with these methods in their project. Topics will include usability and affordances, direct manipulation, systematic design methods, user conceptual models and interface metaphors, design languages and genres, human cognitive models, physical ergonomics, information and interactivity structures, and design tools and environments.

The main focus of this course is to understand the key performance metrics and parameters used for evaluating computer networks which include topics like: principles and methods for simulating computer networks and data communications, random number generation to model different traffic types, simulation of queuing models, simulating real operating networks, comparing the performance of networks using different scenarios, understand computer simulation needs, implement and test a variety of simulation and data analysis libraries and programs, understand tools to view and control simulations and their results, understand and apply display forms such as tables, graphs, and multidimensional visualization, comparing two systems and screening problems.