| College of Computer and Information Sciences

Course Catalog

Introduction to Computer Engineering

3(3 + 0 + 1)

Pre-requesiteMATH151

This course provides students with basic knowledge on: Binary Systems; Boolean Algebra; Digital Logic Gates, Integrated Circuits, Gate-Level Minimization; Analysis and Design Combinational Logic; Multiplexer and Decoders,.

CEN214

LOGIC DESIGN 1

3(3 + 0 + 1)

Pre-requesiteCEN200

This course provides students with basic knowledge on synchronous sequential machines. Topics include: Memory elements, Sequential circuits analysis, Sequential circuits design, Registers and Counters, Memory and Programmable Logic Devices, Register Transfers and Datapaths, Sequencing and Control

CEN215

LOGIC DESIGN LAB 1

1(0 + 2 + 0)

Pre-requesiteCEN214

This lab help students get a hands on familiarity with the concepts they come across in the logic design course. Experiments are designed in such a way that students become well aware of the concepts they learn in the theory sessions: Logic Gates, Boolean Functions, NAND & NOR Implementations, Adders and Subtracters, Flip-Flops, Sequential Circuits Analysis and Design, Counters and Shift Registers.

CEN313

LOGIC DESIGN AND HARDWARE DESCRIPTION LANGUAGES

3(3 + 0 + 1)

Pre-requesiteCEN214

Programmable Logic Devices (PLDs): architecture, features, timing parameters, configuration. Hardware Description Languages (HDLs): History, purpose, categories, vendors and associated CAD tools. VHDL: constructs, modeling for simulation, synthesis and verification, coding styles, effect of style on synthesis, synthesis of combinational and sequential logic, capabilities to deal with hierarchy, subprograms, test benches

CEN316

COMPUTER ARCHITECHTURE AND ASSEMBLY LAGUAGES

3(3 + 0 + 1)

Pre-requesiteCEN313

History of computers. Basic computer organization. Performance evaluation. Data representation. Instruction sets and instruction formats. Machine and Assembly language programming. Assembler function and design. ALUs; Processor organization and design. Pipelining. Micro-programmed CPU. Comparison between CISC, RISC and VLIW processors. Memory Hierarchy. Cache System design. Storage and I/O. Introduction to Multicore and multiprocessors

CEN317

LOGIC DESIGN LABORATORY-II

2(0 + 4 + 0)

Pre-requesiteCEN313

This lab helps students deepening their understand of the content of CEN313, where advanced digital design techniques are utilized in a practical way to develop, design, analyze, simulate and implement logic digital circuits. VHDL and relevant CAD tools shall be used in the design and implementation of digital systems, where the complete design cycle shall be introduced. Students will have hand-on experience in utilizing the basic structures of VHDL, VHDL simulation and VHDL synthesis, and FPGA implementation.

CEN340

SIGNALS AND SYSTEMS

3(3 + 0 + 1)

Pre-requesiteMath204
EE201

Mathematical description and classification of various signals and systems: introduction to mathematical software packages, continuous linear time-invariant systems, convolution and correlation, Fourier series and transforms, Laplace transform, applications to communication systems: modulation/demodulation of AM, double sideband suppressed carrier, single sideband, and FM/PM systems.

CEN342

INTRODUCTION TO DATA TRANSMISSION

3(3 + 0 + 1)

Pre-requesiteCEN340

Introduction to communication systems; Network architecture and the OSI reference model; Transmission media; Transmission Impairments; Data encoding; Data Synchronization; Data Link Control; Multiplexing; Spread Spectrum.

CEN343

INTRODUCTION TO RANDOM PROCESSES

3(3 + 0 + 1)

Pre-requesiteMATH204

Co-reqesitesCEN 340

Covers probability theory, random variables, descriptive statistics, random sampling, statistical intervals and hypothesis testing for a single sample, stochastic processes, spectral characteristics and applications to systems.

CEN344

DATA COMMUNICATION LAB

1(0 + 2 + 0)

Pre-requesiteCEN342

Transmission media characteristics and impairments; Digital modulation techniques: PCM, DPCM, and DM; Basic Shift Keying methods using: amplitude, phase, and frequency; Multiplexing techniques using analog and digital signals; Basic modem structure; Fiber optics communication.

CEN352

DIGITAL SIGNAL PROCESSING

3(3 + 0 + 1)

Pre-requesiteCEN340

History and overview; sampling theorem, aliasing; sampled signals, periodic signals, non-periodic signals; impulse response and convolution; digital spectra analysis; discrete Fourier transform, fast Fourier transform; z-transform; digital filters, FIR and IIR filter design; windowing; effect of finite word length in digital signal processors; application in audio and image processing.

CEN401

QUEUEING THEORY AND SIMULATION

3(3 + 0 + 1)

Pre-requesiteCEN343

Probability theory: random variables, transformation of random variable. Probability density functions. Markov chains: stochastic processes, Poisson and Exponential processes. Queuing Systems: Little’s theorem, M/M/1, M/M/1/K, and M/G/1. Computer simulation: random number generators, validation tests, generating random variables, event-driven simulation. Simulation languages and software simulation

CEN415

Introduction to VLSI Design

3(3 + 0 + 1)

Pre-requesiteCEN313
EE310

Large-scale MOS design: MOS transistors, static and dynamic MOS gates, stick diagrams, programmable logic array design, MOS circuit fabrication, design rules, resistance and capacitance extraction, power and delay estimates, scaling, MOS combinational and sequential logic design, register and clocking schemes, memory, data-path, and control unit design. Elements of computer-aided circuit analysis and layout techniques.

CEN416

INTRODUCTION TO COMPUTER ARITHMETIC

3(3 + 0 + 1)

Pre-requesiteCEN316

Students will be introduced to several computer arithmetic topics at an advanced level. Topics include: Standard and unconventional number representations, design of fast two-operand and multioperand adders, high-speed multiplication and division algorithms, floating-point numbers, algorithms, and hardware algorithms. Also, implementation like pipelined, digit-serial and fault-tolerant arithmetic processors are introduced

CEN417

INTRODUCTION TO VLSI TESTING

3(3 + 0 + 1)

Pre-requesiteCEN415

Provide students with basic knowledge on VLSI Testing Problem, and its complexity. Topics include VLSI Testing process, Combinational Circuit Test Generation, Sequential Circuit Test Generation, Statistical Algorithms and Fault Analysis, Design for Testability, Built-in-Self-Test, Self-Checking-Circuits, Fault-Tolerant-Design

CEN433

Digital System Design

3(3 + 0 + 1)

Pre-requesiteCEN316

Architecture and Instruction set of different 16 bit microprocessors; Microprocessor chips and LSI technology; Supporting chips (Buffers, decoders, system clock generator, reset system); Memory chips and subsystems Interfacing 16-bit Microcomputers. Architecture of Microprocessor based systems, design technique, memory and I/O devices interfacing to the microprocessor, interfacing technique, I/O techniques: Interrupts, Direct memory access; System development and design tools techniques: hardware, and software.

CEN434

DIGITAL SYSTEMS DESIGN LAB

2(0 + 4 + 0)

Pre-requesiteCEN439

Lab experiments include: Logic analyzer investigation, writing C code and debugging it using the simulator and the emulator, Interrupts and timers, EEPROM and program memory lookup tables, LCD module interface (using 8-bits bus) and programming the LCD controller registers, Keypad interface, Serial communications , Analog-Digital module.

CEN439

Embedded Systems Design

3(3 + 0 + 1)

Pre-requesiteCEN316

Introducing embedded system design concepts. Investigating the architecture of the PIC24 processors family and its instruction set. Programming embedded systems with assembly and C. Configuring different processor modules, such as: reset, oscillator interrupts, timers, Analog/Digital, serial communications.

CEN444

COMPUTER NETWORKS

3(3 + 0 + 1)

Pre-requesiteCEN342

Introduction to computer networks: Network topologies; Network architecture and the OSI reference model; Data Link Control: flow control and error control, ARQ Stop/wait , Sliding window protocols, DLC standards : HDLC , PPP and SLIP; Medium Access control Protocols and standards; ALOHA, CSMA, CSMA/CD, Token Ring , Wireless; LAN standards & Devices: Ethernet and IEEE standards for LANs; LAN devices: Bridges, HUBs, Ethernet Switches; Network Layer Services: Datagram and Virtual Circuits; WAN Standards and techniques: X.25, Frame relay, ATM.

CEN445

NETWORK PROTOCOLS AND ALGORITHMS

3(3 + 0 + 1)

Pre-requesiteCEN444

Network Layer; Routing Algorithms: Optimality principle, Distance Vector, Link State, Shortest Path, Broadcast; Congestion control Algorithms: Leaky Bucket, Traffic Shaping; Internetworking Protocols: The Internet Network layer, IP Tunneling and Concatenated Virtual Circuits, IP datagram forwarding, encapsulation, fragmentation and reassembly; Transport Layer Protocols: TCP and UDP services, designs, and performance.

CEN447

COMPUTER NETWORKS LAB

2(0 + 4 + 0)

Pre-requesiteCEN444

Peer-to-Peer and Server-based networks; LAN components and their Interaction; Common Transport Protocols; Router configuration; Bridged networks; Performance analysis of LANs; Virtual networks; Network security, Wireless networks.

CEN448

SECURITY AND INTERNET PROTOCOLS

3(3 + 0 + 1)

Pre-requesiteCEN445

Overview, Security Concepts, Attacks, Services; Block Ciphers; Block Cipher Operation; Public-Key Cryptography and RSA; Cryptographic Hash Functions; User Authentication Protocols; Transport-Level Security; Wireless Network Security; IP Security; Intruders; Malicious Software; Firewalls.

CEN449

BROADBAND AND HIGH SPEED NETWORKS

3(3 + 0 + 1)

Pre-requesiteCEN445

Introduction to broadband networks; Switches: Crossbar, Multistage Interconnection Networks (MINs), High performance switches; Network Control and Management Protocols in High Speed Networks; SDH/SONET: protocol layers, configuration, and frame structures; ATM networks: protocols, services, layering and architecture; High speed networks: MPLS, 10-Gigabit Ethernet, Broadband Wireless networks.

CEN455

INTRODUCTION TO DIGITAL CONTROL

3(3 + 0 + 1)

Pre-requesiteCEN352

Continuous Systems: Review of mathematical representation of systems (transfer functions) modeling and parameter identification, system analysis in time domain, system stability, steady state error and compensator design. Discrete Systems: System modeling and parametric identification; Difference equations; review of Z transform; Review of sampling and reconstruction; Stability analysis; steady state error; Design of discrete-time control systems.

CEN456

DIGITAL CONTROL LABORATORY

1(0 + 2 + 0)

Pre-requesiteCEN455

Experiments and lectures introduce the students to the practical aspects of digital control techniques. Topics include the analyze of the open loop systems and how to design a controller (PID and two position controller - analogue and digital) that increases tracking performances. To check the effectiveness of the controller, students perform simulation using (MATLAB/SIMULINK) software. The last step is the implementation of the digital control via personnel computer using C/C++ or software acquired with experiments.

CEN458

INTELLIGENT SYSTEMS AND THEIR APPLICATIONS IN COMPUTER ENGINEERING

3(3 + 0 + 1)

Pre-requesiteCEN455

Some applications of intelligent systems in computer engineering field: artificial intelligence definitions, knowledge representation, Search techniques, Connectionist neural networks, learning and adaptation, fuzzy set theory and fuzzy logic, Genetic algorithms, Particle swarm optimization, Applications to signals and systems.

CEN459

ROBOTICS

3(3 + 0 + 1)

Pre-requesiteMATH244
CEN455

Historical development of robotics, robot arm kinematics, inverse kinematics, trajectory planning, dynamics and control, applications of mobile robots, autonomous mobile robots (navigation and localization), Computer vision, vision-based control, LEGO Mindstorms NXT , and other robotic devices for experiments, Internet and Web Robotics, future trends.

CEN460

DIGITAL SPEECH PROCESSING

3(3 + 0 + 1)

Pre-requesiteCEN352

Review of sampling theorem, filtering, and noise management; speech and language fundamentals; speech perception and production; tools for digitally processing speech signal: windowing, pre-emphasis, and framing; linear predictive coding; applications of digital speech processing such as speech recognition and synthesis.

CEN462

Data Compression

3(3 + 0 + 1)

Pre-requesiteCEN340

Compression Techniques: lossless and lossy compression, performance measures, coding. Mathematical Preliminaries for lossless compression: introduction to information theory, physical models, probability models, unique decodable codes, prefix codes. Lossless Compression Techniques: Huffman coding, nonbinary Huffman codes, adaptive Huffman coding, arithmetic coding, dictionary techniques, predictive coding. Mathematical Preliminaries for lossy compression: distortion criteria, information theory, conditional entropy, probability models. Quantization: adaptive quantization, non-uniform quantization. Compression Applications for Data, Voice and Video.

CEN463

NETWORK PROGRAMMING

3(3 + 0 + 1)

Pre-requesiteCEN445

Introduction: TCP/IP and OSI models; Transport layer protocols: TCP, UDP, Standard Internet Services; Concurrent Servers: I/O Multiplexing, TCP Sockets, UDP Sockets, TCP and UDP Client/Server Applications; Name and Address Conversions; Web programming.

CEN464

OPTICAL NETWORKS

3(3 + 0 + 1)

Pre-requesiteCEN445

Optical fiber transmission medium: fiber modes, signal degradation, attenuation, dispersion. Optical components: filters, directional couplers, power attenuators, beam splitters, multiplexers, demultiplexers, cross connects, modulators, amplifiers; Optical communications: signal encoding, network structure, SDH and SONET, WDM, routing and wavelength assignment; DWDM Networks: Topologies, bandwidth management, wavelength management, interoperability.

CEN465

DIGITAL IMAGE PROCESSING

3(3 + 0 + 1)

Pre-requesiteCEN352

Quantitative models of imaging systems, spatial domain and frequency domain methods, digital filter design for image enhancement and restoration, edge detection, image denoising, image segmentation, image enhancement, image restoration, image compression, and image representation and description.

CEN466

DIGITAL COMMUNICATIONS

3(3 + 0 + 1)

Pre-requesiteCEN 343

Covers model of digital communication systems, base-band transmission and line coding techniques, geometric interpretation of signals, band-pass transmission and digital modulation techniques, optimum detection of known signals in AWGN channels, error correcting codes, spread spectrum systems-CDMA, modulation and coding trade-off, inter-symbol interference and synchronization.

CEN470

PROFESSIONAL ETHICS

3(3 + 0 + 1)

The importance of ethics and well manners in Islamic teachings. The qualifications of employment from ethical perspective. Legal and ethical boundaries for employment. Good and bad manners for employment. Relations with supervisors, peers and customers. References to ethics and manners in Saudi legislations. Relevant international codes of ethics.

CEN492

Graduation Project 1

3(3 + 0 + 0)

The student should take a B.Sc. project in related area to his specialization and with technical merit. This project is for two semesters, it is counted as three credits for the first semester. At the end of the semester the student submits a report describing his projects and the parts he completed in the first semester and proposed parts in the 2nd semester. The projects are oriented toward providing experience in the establishment of objectives, criteria, synthesis, analysis, construction, testing, and evaluation; solution of open-ended problems; design methodology

CEN493

Graduation Project 2

3(3 + 0 + 0)

Pre-requesiteCEN492

CEN501

Queuing Theory and Simulation

3(3 + 0 + 0)

Probability theory: random variables, transformation of random variables. Markov chains: stochastic processes, Poisson and Exponential processes, birth-death Markov chains. Queuing theory: Little’s theorem, M/M/1, M/M/1/K, M/M/S/S, M/G/1. Network of queues: Burke theorem, Jackson theorem. Computer simulation: random number generators, validation tests, generating random variables, event-driven simulation, and simulation project of networking systems.

CEN519

Advanced Computer Arithmetic

3(3 + 0 + 0)

Computer representations of different number systems, Implementation of basic arithmetic operations such as: addition, multiplication, subtraction and division. Improving the performance metrics (speed, area and power). Current commercial designs, Recent researches in the field of computer arithmetic.

CEN520

Parallel Processing

3(3 + 0 + 0)

The principles and tradeoffs in the design of parallel architectures, Emphasis on: naming, latency, bandwidth, and synchronization in parallel machines. Case studies on shared memory, message passing, data flow, and data parallel machines. Architectural studies and lectures on techniques for programming parallel computers.

CEN521

Advanced Computer Architecture

3(3 + 0 + 0)

Instruction set principles, Pipelining, pipelining hurdles. Instruction level parallelism, Data hazards avoidance, Dynamic Scheduling, Dynamic Hardware prediction. Memory Hierarchy Design, Cache design, Storage systems, Busses, I/O performance measures. Interconnection Networks, Introduction Multiprocessors architectures.

CEN524

ADVANCED COMPUTER ARITHMETIC

Pre-requesiteCEN 521

CEN527

Parallel Computing

Pre-requesiteCEN 523

Parallel Computers, Message-Passing Computing (MPI), Embarrassingly Parallel Computations, Partitioning and Divide-and-Conquer Strategies, Pipelined Computations, Synchronous Computations, Programming with Shared Memory (OpenMp), Distributed Shared Memory Systems, Scalable Algorithmic Techniques, Load Balancing and Termination Detection, Case Studies: Image Processing/Numerical Algorithms.

CEN528

PROCESSOR DESIGN

Pre-requesiteCEN523
CEN524

This course provides an in-depth coverage of fundamental architecture and implementation techniques for modern processor chips. Topics include: Introduction, advanced pipelining, superscalar organization, Instruction Fetch, Branch Prediction, Register Renaming, Dynamic Scheduling, , multithreading, and multi-core chips.

CEN529

Selected Topics in Computer Architecture

3(3 + 0 + 0)

The content is designed by a member of staff and approved by the department council.

CEN531

Computer networks

3(3 + 0 + 0)

Pre-requesiteCEN445

Review of OSI layered Architecture, TCP/IP Protocols, Data link layer: HDLC, Window flow control, Network layer: Datagram and virtual circuit, Transport protocol: Error-detection and recovery, Presentation layer: Security, Privacy, Text compression, Application layer: Distributed computing, Network operating systems.

CEN532

Mobile Computing & Wireless networks

3(3 + 0 + 0)

An overview of mobile computing and wireless Networks, Signal propagation characteristics of wireless channels, Modulation for wireless systems: QPSK, DQPSK, /4 DQPSK, n-QAM; Multiple access techniques for wireless systems: CSMA/CA, PCF , CDMA, OFDM, OFDMA, SC-OFDMA, FHSS ,DSSS; Cellular Concept: frequency reuse/cellular/microcellular/Pico cell/femtocell concepts; Wireless networking standards: Wireless PAN (IEEE 802.15.1 (Bluetooth) and IEEE 802.15.4 (Zigbee)) ,Wireless LAN ( IEEE 802.11 a/b/g/n), 4G mobile wireless ( LTE, LTE-Advanced, and Mobile WIMAX IEEE802.16e/m); Radio and network resource management; Systems issues such as performance evaluation; Quality of service guarantees and reliability; Cognitive Radio Networks; Mobile IP.

CEN533

Performance Analysis of Computer Networks

3(3 + 0 + 0)

Fundamental concepts of performance evaluation of computer systems and networks; Fundamental performance analysis techniques including methods for performance measurement, Performance metrics, Monitoring, Experimental design, and system modeling; Introduction to Queuing theory, Markov Chains, Separable queuing networks, Priority queuing systems and Queuing Networks; Other topics include: Comparing two or more systems; Performance bottleneck identification; Characterizing the load on the system; Determining the number and size of components; Mean value analysis, and modeling; Applications of the learned concepts to measure the performances of computer systems like communication networks, LANs and I/O systems.

CEN534

Wireless Sensor networks

3(3 + 0 + 0)

Introduction & Overview: Overview of wireless sensor networks protocols, (deployment & coverage) issues, and applications; Sensor Node Hardware & Operating Systems: Sensor hardware platforms (MOTES), TinyOS; Physical and link layers: MAC issues, localization, self-organization, time synchronization, power management; Network Layer Protocols (energy-aware or attribute-based routing): node discovery protocols, data dissemination, data aggregation, cluster-based protocols (LEACH), query models; reliable transport protocols; Sensor Network Programming: nesC; Security issues in Sensor Networks: SPINS protocol.

CEN536

Internet Protocols and TCP/IP

3(3 + 0 + 0)

Review of Network Technologies for LANs and WANs. Inter-networking. IP, UDP, and TCP protocols, broadcasting and multi-casting, MPLS, Internet Addressing, Internet Routing Protocols: Gateways, OSPF routing, BGP. Network security: polices, responsibilities, access control, encryption and privacy, public key encryption, DES, RSA, packet filtering and firewall concepts, digital signature; Application Layer Protocols: WWW protocols, DNS, SMTP, the socket application program interface API, client server interaction, SNMP, Multimedia Protocols & standards MPEG, JPEG.

CEN537

LAN Protocols and Performance

3(3 + 0 + 0)

Standards for local area networks. Performance analysis measures. Contention-based protocols: ALOHA, CSMA and variations. Demand-assignment protocols: polling, token passing, packet reservation multiple access. Fixed-assignment protocols: FDMA, TDMA, CDMA. Optical networks. Wireless networks. Analysis, queuing models, and simulation of some representative LAN protocols.

CEN538

Wireless LAN & MAN Networks

3(3 + 0 + 0)

Basic of wireless communication & channel: multipath, noise, and interference. Multiplexing techniques: CDMA, OFDM, FHSS, DSSS. Wireless Media access control protocols: CSMA/CA, PCF. Wireless LAN & MAN networks: Ad hoc networks design and routing. Sensor networks. QoS in wireless networks. Mobile IP. Wireless Networks Standards: Bluetooth, IEEE 802.11 a/b/g/n, IEEE 802.15 standards, IEEE802.11e for differentiated services. Review of current research topics in the open literature.

CEN539

Selected Topics in Computer Networks

3(3 + 0 + 0)

The content is designed by a member of staff and approved by the department council.

CEN543

Digital Signal Processing

3(3 + 0 + 0)

Sampling and quantization of images, Filtering, Restoration and enhancement in both the spatial domain and in the frequency domain. Color image processing. Image compression. Morphology and image segmentation. Feature extraction and scene analysis.

CEN545

Digital Image Processing

3(3 + 0 + 0)

Fundamentals of digital image processing, basics of image enhancement in spatial and frequency domain, image restoration, color image processing, image compression and multi-resolution image processing.

CEN547

Digital Speech Processing

3(3 + 0 + 0)

Pre-requesiteCEN543

Linguistic Information, Speech Production Mechanism, Acoustic Characteristics of Speech. Speech Analysis, Spectral Analysis, Cepstrum, Filter Bank, Zero-Crossing, Analysis-Synthesis, Pitch Extraction, Linear Predictive Coding. Speech Recognition, Spectral Distance Measures, Structure of Word Recognition Systems, Dynamic Time Warping, Word recognition using phoneme units. Hidden Markov Models. Speaker Recognition.

CEN551

Robotics

3(3 + 0 + 0)

Introduction (History, spatial description and transformations..), Robot arm kinematics (Forward & Inverse), Robot Arm dynamic, Planning of manipulators trajectories, Multivariable control of robot manipulators (Nonlinear controllers, Neural Networks Controller, Fuzzy controller, Slide mode controller …), Force control, Geometric nonlinear control, Mobile robots (Models and control), Intelligent autonomous system, Robot programming language and systems, Sensing, Computer vision and vision based control.

CEN552

AUTONOMOUS MOBILE ROBOTS

Introduction, mobile robot kinematics and dynamics, actuators and sensors, mobile robot localization (odometry and Kalman filter), path planning, motion control, intelligent navigation, robot vision, SLAM using stereo-vision.

CEN556

Intelligent systems

3(3 + 0 + 0)

Introduction to knowledge based intelligent systems, Rule based expert systems, uncertainties management in rule based expert systems, Fuzzy expert systems, Frame based expert systems, Artificial neural networks, Evolutionary algorithm, Hybrid intelligent systems, Knowledge engineering and data mining.

CEN570

Simulation and Modeling

Discrete-event simulation approaches, Simulation cycle, Probability and statistics in simulation, Mathematical and statistical models, Validation and verification of simulation models, Random number generation, Building valid and credible simulation models, Modeling of simulation data, Output data analysis, Simulation software, Distributed and parallel simulation, Simulation techniques of some well-known systems such as Queues, Applications to computer systems, Case studies.

CEN585

Computer and Network Security

3(3 + 0 + 0)

Introduction to Computer Security/History, case studies, Risk Analysis and Security Planning, Security Policies and Models, Access Controls, Program Security – (Trojan Horses, Viruses, Worms), Operating system security, Cryptography & Hashing Techniques, Encryption-based Protocols, Authentication/PKI, Network Security, Network Cryptographic Protocols, Traffic Analysis & Prevention, Network Security Standards, IP Security Options, Firewalls and protocol vulnerabilities

CEN591

Seminar in Computer Engineering

Every student selects a topic to prepare a seminar for, and produces a report.

CEN592

Independent Study

The student selects a research topic and conducts a literature review in relation to the topic.

CEN598

Research Project (1)

The student selects a research project to complete (part 1)

CEN599

Research Project (2)

The student selects a research project to complete (part 2)

CEN600

Thesis

CEN601

Engineering Stochastic Processes and its applications

3(3 + 0 + 0)

Random variables. Moments. Conditional distributions and moments. Functions of random variables. Joint distributions and moments. Random process models: basic concepts, properties. Stationary random processes: covariance and spectrum. Response of linear systems to random inputs: discrete-time and continuous-time models. Time averages and Ergodic principle. Sampling principle and interpolation. Selected applications in Control, Networks and Communication Systems

CEN611

Design of CAD Tools

3(3 + 0 + 0)

Solving logic design problems with CAD tools for VLSI circuits. Analysis and design of exact and heuristic algorithms for logic synthesis. Topics: representation and optimization of combinational logic functions (encoding problems, binary decision diagrams), representation and optimization of multiple level networks (algebraic and Boolean methods, don’t-care set computation, timing verification, and optimization), modeling and optimization of sequential functions and networks (retiming), semi custom libraries and library binding.

CEN621

Advanced Computer Architecture

3(3 + 0 + 0)

CEN628

Advanced Parallel Computing

3(3 + 0 + 0)

The principles and tradeoffs in the design of parallel architectures. Emphasis is on naming, latency, bandwidth, and synchronization in parallel machines. Parallel programming models, multiprocessor systems, multi-computer clusters, Case studies on shared memory, message passing, data flow, and data parallel machines. Architectural studies and lectures on techniques for programming parallel computers.

CEN629

Fault Tolerant Systems

3(3 + 0 + 0)

Physical Fault Errors and Failures; Fault Analysis and Diagnosis in Digital Circuits; Fault Modeling; Testing Techniques; Test Generation and Fault Simulation; Design For Testability; Built-in-self-Test; Reliability Concepts; Fault prevention (fault intolerance); Fault Tolerance; Replication, Redundancy, and Diversity.

CEN631

Advanced Computer Networks

3(3 + 0 + 0)

CEN632

Graphs and Network Flows Theory and Applications

3(3 + 0 + 0)

Solutions to analysis and synthesis problems that may be formulated as flow problems in capacity constrained (or cost constrained) networks. Tools for network flow theory using graph theoretic methods. Applications to communication, and transmission problems.

CEN633

Networks Design and Algorithms

3(3 + 0 + 0)

Principles of network design, network design algorithms, centralized network design, static and dynamic routing algorithms, application of minimum spanning tree and shortest path algorithms to problems in network design, distributed network design, case studies.

CEN634

Personal Communication Systems

3(3 + 0 + 0)

Underlying principles of personal communications and Cellular systems. Radio signal propagation and signal impairments:, Noise & interference-limited communications, multiple access, radio resources management, and mobility management. Building blocks of personal networks. Essential functions of cellular systems . Examination of the leading and standard systems.

CEN635

Telecommunication Networks: Protocols and Performance Analysis

3(3 + 0 + 0)

Error, flow and congestion control protocols, multiplexing and multiple-access, switching, routing. Selected case studies on Access networks, packet networks, Broadcasting network, satellite and terrestrial radio networks.

CEN636

Optical Networks

3(3 + 0 + 0)

Components, topologies and architecture of optical networks. Basics of the Physical layer, higher network layers and protocols (Media Access Control, Network and Transport Layers) as integral parts of network design. Performance metrics, analysis and optimization techniques will be developed to help guide the creation of high performance complex optical networks.

CEN637

Sensor Networks

3(3 + 0 + 0)

Sensor network and Ad-Hoc networks :characteristics & applications, routing and performance analysis. deployment; energy-efficiency; wireless communications; data-centric operation; capacity and lifetime; reliability, fault-tolerance and security. Standards of sensor networks

CEN638

Wireless and Multimedia Networks

3(3 + 0 + 0)

Overview of wireless networks with multimedia services. Physical Layer, Wireless Networks Medium-Access Control (MAC) protocols (TDMA, FDMA, CDMA, ALOHA-based, CSMA/CA). Wireless & Multimedia Networks: Standards: 802.11, 802.11e , 802.11n , 802.15, and 802.16 …etc , QoS , wireless & multimedia networks new trends and applications.

CEN639

High Performance Interconnection Networks

3(3 + 0 + 0)

Basics, theories, architectures, and technologies for high-performance high-speed large-scale routers and switches. Fundamental concepts and technologies of packet forwarding, classification, and switching in IP routers, Ethernet switches, and optical switches. IP Route Lookup, Packet Classification, Packet Scheduling, Buffer Management, Basics of Packet Switching, Input-buffered Switches, Output-buffered Switches, Shared-memory Switches, Crosspoint-buffered Switches, Close-network Switches,

CEN643

Digital Signal Processing

3(3 + 0 + 0)

Discrete time signals, Z-transforms. Discrete Fourier transform (DFT). Fast Fourier transform (FFT). Design of finite impulse response filter (FIR) and Infinite impulse response filter (IIR), Effects of finite word length

CEN645

Speech and Video Signal Processing

3(3 + 0 + 0)

This course deals with some of the common digital signal processing techniques for the analysis of speech and video signals. Topics include: signal analysis using short-time Fourier transform, linear prediction, and cepstrum processing; applications in speech (& video) compression and coding, speech and speaker recognition, audio and video watermarking and steganography, and speech & video enhancement, inferring 3D properties from, object detection & recognition, multiview geometry, and structure from motion. Pre-requests: Digital signal processing and Digital image processing.

CEN647

Pattern Recognition

3(3 + 0 + 0)

Decision theory, parameter estimation, density estimation, non-parametric techniques, supervised learning, linear discriminant functions, clustering, unsupervised learning, artificial neural networks, feature extraction, support vector machines, and pattern recognition applications (e.g., face recognition, fingerprint recognition, automatic target recognition, etc.), overview of other machine learning techniques and data mining.

CEN651

Nanorobotics

3(3 + 0 + 0)

Introduction to robot architectures; Software programming methods including: sensors, planning, control, and learning. Nanorobotics: nanotechnology, sensing, control, actuation, and propulsion; Communication, power, programming and coordination of robot swarms. Nanomanipulation and nanoassembly with atomic force microscopes.

CEN691

Advanced Topics in Computer Engineering

3(3 + 0 + 0)

In this course, students are able to study advanced topics in Computer Engineering. The content and syllabi of this course is designed by a member of staff and approved by the department council.

CEN696

Independent Research Study I

Independent Research Study

CEN697

Independent Research Study II

Independent Research Study

CEN700

Thesis

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Program Info | O bjectives | Admission | Degree Requirements | Structure | Study Plan

Program Information

It became scientifically important to raise the scientific and technology level of Saudi leaderships and decision makers in the information technology fields. This can be achieved through university graduate programs. The
Kingdom’s Information Technology National Plan shows that there is a fast growing demand in the next decade for cadre in advanced scientific and professional areas of computers and communication technologies. The study
proposed number of recommendations to address the high shortage level of specialized cadres in information technology. The most important of which is to increase the recourses of the information technology departments, the expansion in postgraduate programs to qualify Saudi teaching staff and academic faculty.
Another important recommendation is to facilitate the attraction of distinguished scholars and scientists in information technology in order to transfer of expertise and learning from the international experiences.
From these standpoints, a graduate joint Ph.D. program between 3 departments of the college is proposed herewith to contribute to provide graduate studies and advanced research in the fields of computer science, computer engineering and information systems. This will contribute in creating qualified researchers and faculty members in the area of computer and information sciences.

Degree Name:

PhD program in Information Systems.

Educational Objectives:

To promote advanced research and scientific publication and to contribute to the future scientific and technical world advancement in computer science and engineering, and information technology;
To prepare highly specialized scholars, professionals and Saudis research personnel, manpower and expertise that meet the Saudi society development needs, and jobs demand; and support the successful transfer of advanced information technologies in industry, academic and scientific sectors.
To create solutions for the persistent IT problems in the public and governmental institutions through a higher level of applied research and IT technology transfer;
To provide graduate students and Saudis researchers with skills, means, methodology, innovation and scientific approaches necessary for distinguished professionals in IT sectors.

Admission:

The applicant must own a full-time master’s degree in Information Systems, Software Engineering, Computer Science, Computer Engineering, Information Technology, or other computer specializations from King Saud University or any other recognized institution with a grade of no less than Very Good - if it is from a university that grants it with a grade - with a cumulative GPA of (3.75 out of 5) or its equivalent. “The applicant must contact the department to find out if his/her specialization is among the required specializations, before applying through the electronic admission portal.”
The applicant must have obtained a score of no less than (5.5) in the IELTS ACADEMIC test or its equivalent, or obtain the degree with English language from countries where the official language of the country is the English, according to the approved list of the Deanship.
The applicant must have obtained a score of (80) in the quantitative part of the General Aptitude Test for University Students or (148) in the quantitative part of the GRE General Test.

Degree Requirements:

Successful completion of 25 credit hours of graduate courses in the PhD program as follows:
- 3 credit hours of program general courses or university graduate courses as approved by the supervisor.
- 6 credit hours outside student’s track from the common courses offered by other tracks of the program.
- 7 credit hours of compulsory courses in student’s track.
- 9 credit hours of elective courses in student’s track.
- No more than two courses from Master Program level are counted for the course requirements in the PhD program.
To pass a comprehensive exam in his specialty or other subspecialties decided by the program council and according to the general rules for the comprehensive exam as issued by the deanship of graduate studies
Completion and successful defense of an original thesis.
To publish or obtain an acceptance for at least one publication in a specialized referred venue according to student’s track.

Program Structure:

Course Number	Number and Type of Courses	Credit hours
--- ---	One general course (list 1-a)	3
--- ---	2 common courses (list 1-b)	6
IS 6--	3 compulsory courses in student’s track	7
IS 6--	3 elective courses in student’s track	9
IS 700	Thesis in student’s track	-
		25

Study Paln:

PhD Program in Information Systems (Thesis and Courses Option)

Regular Master (Non Thesis)

Program info | Program Objectives | Admission

Program Information:

NAME OF THE PROGRAM

Master of Science in Information Systems.

REQUIREMENTS FOR FULFILLING THE DEGREE

To fullfill the Non-Thesis Option degree the student must:

Complete 33 credit hours.

Program Educational Objectives:

Deliver a solid curriculum in information Systems, which conforms to guidelines laid down by the Deanship of Graduate Studies at King Saud University.
Prepare qualified students for further higher education opportunities.
Prepare students to conducte applied research that has direct impact on the concerns of the local community.
Supply local industries and educational systems with a qualified IT workforce.
Providing varieties of topics to students so that they can pick and choose from the various elective topics and emphasis areas that best fit their future career endeavors.

Admission

The applicant must own a full-time bachelor's degree in Information Systems, Software Engineering, Computer Science, Computer Engineering, Information Technology, or the following faculties: Engineering, Architecture and Planning, Science, Business Administration, or Educational Computer Science from King Saud University or any other recognized institution with a grade of no less than Good High (جيد مرتفع) with a cumulative GPA of (3.25/5) or equivalent. "The applicant must contact the department to find out if his/her specialization is among the required specializations, before applying through the electronic admission portal."
Submit an English language test result.

Regular Master (Thesis)

Program info | Program Objectives | Admission

Program Information

NAME OF THE PROGRAM

Master of Science in Information Systems.

REQUIREMENTS FOR FULFILLING THE DEGREE

To fullfill the Thesis Option degree the student must:

Complete 24 credit hours:
- 21 required credits.
- 3 elective credits.
Complete the thesis.

Program Educational Objectives

Deliver a solid curriculum in information Systems, which conforms to guidelines laid down by the Deanship of Graduate Studies at King Saud University.
Prepare qualified students for further higher education opportunities.
Prepare students to conducte applied research that has direct impact on the concerns of the local community.
Supply local industries and educational systems with a qualified IT workforce.
Providing varieties of topics to students so that they can pick and choose from the various elective topics and emphasis areas that best fit their future career endeavors.

Admission

Applicant must hold a full-time bachelor's degree in information systems, software engineering, comuter sciences, computer engineering, IT disciplines from the following colleges: (Engineering, Architecture and Planning, Science, Business Adminidtration), or educational computer, from KSU or any accredited university, with a minimum oa an "Above Average" (3.25/5) GPA or equivalent; for relevant disciplines, the applicant must refer to the concerned department before starting the application process on the elecronic portal.
A score of at least 70 in General Aptitude Test (Quiantitative Section) or at least 144 in the GRE-General test (Quiantitative Section).
A score of at least 4 in the IELTES_Academic test or equivalent.

BSc Degree

Program info | Objectives & Outcomes | Admission | Study plan | Project | Statistics

Program Information

The information systems strategy is an integral part of organizational strategy. Information systems support management processes at all levels – operational, tactical, and strategic management. Information systems are vital to problem identification, analysis, and decision-making. As organizations extended the use of information processing and communications technology to operational processes, decision support, and competitive strategy, the academic field also grew in scope and depth.

The B.Sc. Program In Information Systems is accredited by the Computing Accreditation Commission(CAC) of ABET, https://www.abet.org, under the General Criteria and the Information Systems Program Criteria.

Career Opportunities

The need for highly skilled IS engineers is growing day after day. Graduates from the IS program will have various career opportunities in the information systems field and IT industry including, but not limited to the followings:

Information Systems Analyst
Information Systems Developer
Information Systems Project Manager
Information Systems Consultant
SERP Implementation Specialist
Database Administrator
Database Developer

Program Educational Objectives

After completing their studies in the IS department, graduates should be able to demonstrate in a period of five years the ability to:

Engage in lifelong learning for continued professional excellence.
Achieve higher positions in the job market and/or complete graduate studies.
Further develop a sense of professionalism, ethical values, and respect for society.

Student Outcomes

In concordance with ABET requirements for IS programs, graduates from the IS department will possess computing skills as well as the ability to:

Analyze a complex computing problem and to apply principles of computing and other relevant disciplines to identify solutions.
Design, implement, and evaluate a computing-based solution to meet a given set of computing requirements in the context of the program’s discipline.
Communicate effectively in a variety of professional contexts.
Recognize professional responsibilities and make informed judgments in computing practice based on legal and ethical principles.
Function effectively as a member or leader of a team engaged in activities appropriate to the program’s discipline.
Support the delivery, use, and management of information systems within an information systems environment.

Study Plan

* BSc. Program (in Arabic)

* BSc. Program (in English)

Capstone Project

IS 498 & 499 Project Handbook

Accepted and graduated students from the Department of Information Systems

Academic Year		Accepted new Students	Total number of students in all levels	Graduated students
2016-2017	1438-1439	192	627	131
2017-2018	1439-1440	186	638	161
2019-2020	1440-1441	219	613	177
2020-2021	1441-1442	185	352	192
2021-2022	1442-1443	169	169	172

Vision and Mission

Vision

To be recognized nationally and internationally as a leader in the area of information systems education and research.

Mission

Serving students and society through distinctive education, creative Information Systems research, and the ability to participate in the building of the knowledge economy based on latest Information Systems trends and technology.

Department Objectives

The main objectives of the IS department are as follows:

Contribute significantly to research and discovery of new knowledge and methods in Information Systems.
Provide graduate and undergraduate students with strong and current conceptual foundations (theory and application) in the area of information systems.
Enable students with the necessary tools and skills to effectively serve the IT industry and community needs upon graduation.
Keep faculty current by providing opportunities for professional development.
Provide IT consultations and community services to those in need of such services.
Encourage innovative ideas and projects by both department faculty and students.
Create an enticing educational environment by providing opportunities for extra-curricular activities through social activities and students clubs.

About Department

The information systems Bachelor’s program is considered a bridge between computer science specializations and organizational and administrative fields whereby a student gains knowledge and acquires skills necessary to analyzing, designing, developing, and operating information systems and then utilizing them in any type of public or private organizations.

Department of Information Systems

Program Guide

Bachelor | Master | PhD

Program Guide for Bachelor Degree

A. Mandatory Courses

CSC 111 – Computer Programming-I (3-2-1)
Course Description	Introduction to computers and programs. Programmer’s algorithm, byte code and Java Virtual Machine. Java program’s structure, constants, variables and built-in data types. The arithmetic, assignment, increment and decrement operators. Classes and object definition, UML representation of a class, declaration of objects (Instance variables), primitive types and reference types. Relational and logical operators, Boolean expressions, conditional statements, loop statements. Object oriented principles, encapsulation and information hiding, methods and the message passing principles, setters, and getters. Methods in depth, passing parameters, constructors, setters. Arrays, usefulness of arrays, declaration of arrays, access to array elements, operations on arrays.
Prerequisite	CT 140 - Computer Skills.
Textbook	An Introduction to Object-Oriented Programming with Java, 4th edition, by C. Thomas Wu (Otani), McGraw-Hill Higher Education, 2006.
Course Objectives	The course aims at giving the students a broad foundation in the fundamental concepts of object oriented programming accompanied by specific labs to develop the basic skills in object oriented programming with Java. It introduces the basic concepts and principles of the Object Oriented approach such as: (i) Abstraction and Encapsulation principles, (ii) Classes, objects and the constructor concepts, (iii) Information hiding principle and the assessors concept. (iv) Methods, the message passing and the overloading principles.

CSC 113 – Computer Programming-II (3-2-1)
Course Description	This course continues the coverage of the fundamental concepts of Object Oriented Programming started in Programming I (CSC 111). It covers more advanced concepts and topics such as relationships between classes, inheritance, polymorphism, abstract classes, error handling, interfaces, generics and data structures such as linked lists, stacks and queues, in addition to graphical user interface.
Prerequisite	CSC 111 - Computer Programming I.
Textbook	An Introduction to Object-Oriented Programming with Java, 4th edition, by C. Thomas Wu (Otani), McGraw-Hill Higher Education, 2006. Java Programming: From Problem Analysis to Program Design,4th Edition by D.S. Malik.
Course Objectives	The objective of this course is to develop the students' ability to use the basics of object-oriented design and programming. The students learn the characteristic features of object orientation – classes, methods, polymorphism, and inheritance – through both the lectures and a sequence of illustrative programming assignments. Students will also study list data structures, event driven programming and graphical user interface tools.

CSC 212 – Data Structures (3-0-1)
Course Description	Fundamental concepts of data structures. Performance measurement of algorithms. Implementation and use of lists, stacks, queues, priority queues, trees, heaps, hash tables and graphs. Recursion. Students will do programming assignments.
Prerequisite	CSC 113 - Computer Programming II.
Textbook	Data Structures and Algorithms in Java, 4th edition, by M.T. Goodrich and R. Tamassia. John Wiley and Sons, Inc., ISBN: 0-471-73884-0.
Course Objective	The objective of this course is to teach the fundamentals of data structures needed in the remainder of the curriculum and develop students’ problem solving and computer programming skills.

CSC 215 – Procedural Programming With C (2-2-1)
Course Description	Introduction to the procedural programming paradigm. Brief history of C. C primitive data types, variables and constants, operators (arithmetic operators, logical operators, and access operators). Control structures. Procedures and parameter passing. User defined types. Pointers.
Prerequisite	CSC 111 - Computer Programming I
Textbook	Brian W. Kernighan, Dennis M. Ritchie, “The C programming Language”, Prentice Hall, 1988.
Course Objectives	The objective of this course is to teach students the design and implementation of C programs. They also are meant to understand when to use procedural vs. OO programming.

CSC 220 – Computer Organization (2-2-1)
Course Description	The course introduces basic digital logic design techniques and integrates the topics of generic assembly language programming, computer organization, and computer design. The objectives of this course are to: help students learn the fundamental elements of computer architecture from a functional, hardware perspective; foster an appreciation of organizational models and design decisions that determine the overall performance, capabilities, and limitations of a computer system; and help students understand the interdependencies among assembly languages, computer organization, and design. Topics include Introduction to basic computer organization and how the computer works; DeMorgan’s Law, simplifying circuits using Karnaugh maps, Instruction code, Computer registers, Instruction set, Timing and control; Register Transfer Language HDL ( Hardware Description Language) and Micro-operations; Computer Arithmetic Logic Unit Design. -Hardwired control unit, instruction set, introduction to addressing modes; Central Processing Unit Design, Register organization, Instruction format, Addressing modes.
Prerequisite	CSC 111 - Computer programming I
Textbook	Computer System Architecture - 3rd Edition, Author: Morris Mano, Publisher: McGraw Hill. Logic and Computer Design Fundamentals, 4th Edition* by M. Morris Mano and Charles R. Kime.Published by Prentice-Hall, 2008. ISBN: 0-13-600158-0.
Course Objectives	The course aims to give the students: Design and understanding of the different basic components of a computer system; Understanding how the different components inside the computer system functions A theoretical and practical understanding of the register transfer language A basic understanding of the importance of control units. A theoretical and practical understanding of the arithmetic logic unit. Understanding the interdependencies among assembly languages, computer organization and design.

CSC 227 – Operating Systems (3-0-1)
Course Description	This is an introductory course in Operating Systems. As such, it is intended to cover many of the concepts related to most of the actual Operating Systems. Although the study of a particular Operating System is out of the scope of this course, nevertheless, we will cover most of the concepts found in any existing Operating System. We will review computer system and operating system structures, processes and threads (concepts of, communication, synchronization and deadlocks), CPU Scheduling, memory management and virtual memory.
Prerequisite	CSC 212 - Data Structures.
Textbook	Operating System Concepts, A. Silberschatz, P.B. Galvin, Eight Edition, John Wiley & Sons Inc., ISBN 0-470-12872-0.
Course Objectives	Course objective is to provide the concepts of operating systems design and implementation. It identifies and describes the major and common components of an operating system with stating their functions and purposes especially process management (process scheduling, and synchronization), and memory management (segmentation, paging, and swapping).

CSC 281 – Discrete Mathematics for Computer Science (3-0-1)
Course Description	Logic and methods of proofs. Basic Discrete Structures: Sets, Functions, Recursive definitions, Sequences and Summations. Growth of functions. Integers and Division, Rings & Fields, Applications of Number Theory. Combinatorics: Counting techniques, Permutations and Combinations, Binomial Coefficients, Permutation and Combinations with repetition, Recurrence Relations, Generating Functions. Discrete Structures: Relations, Graphs, Trees and Finite State Machines. Discrete Probability (optional).
Prerequisite	STAT 324 - Engineering Probability & Statistics. MATH 151 - Discrete Mathematics.
Co-requisite	CSC 212 – Data Structures.
Textbook	Kenneth H. Rosen, Discrete Mathematics and Its Applications, McGraw-Hill, 2006, ISBN-10: 0073312711.
Course Objectives	The course is an introductory course in discrete mathematic with emphasis on how this theory can be invoked to develop efficient algorithms and systems. Also, it serves as the mathematical perquisite for many advanced courses.

CSC 304 – Ethical Issues in Computing & Research Methods (3-0-1)
Course Description	This course seeks to equip students with sufficient knowledge of Computer Ethics to enable them recognize the ethical nature of certain issues that arise in the Information and Communications Technology (ICT) workplace. The course studies the effect of the proliferation of computers in our world, the impact of computers in the social, economic, political, and other aspects of our life. It covers the moral and legal obligations of computer professionals and issues concerning security, privacy versus freedom of information, ethics and professionalism, intellectual property rights, research methods: collecting and analyzing data, critical evaluation of research, report writing, choosing and evaluating references, and presentation skills.
Prerequisite	CSC 113- Computer Programming II.
Textbook	Joseph M. Kizza: "Ethical and social issues in Information Age" 3rd Edition Springer 2010. Giannis Stamatellos :Computer Ethics a global perspective” 2nd Edition Jones and Bartlett 2007.
Course Objectives	The objective of the course is to provide the students with main concepts of computer ethical issues and to introduce scientific research methods.

CSC 311 – Design and Analysis of Algorithms (3-0-1)
Course Description	Mathematical essentials; sorting; space and time complexity; algorithm design methods: greedy algorithms, divide and conquer, and dynamic programming; introduction to graph theory; and NP-completeness.
Prerequisite	CSC 281 - Discrete Mathematics.
Textbook	Introduction to the Design & Analysis of Algorithms – 2nd Edition . A. Levitin, Pearson Addison-Wesley, 2006.
Course Objectives	The course aims at giving the students a broad foundation in the fundamental concepts of object oriented programming accompanied by specific labs to develop the basic skills in object oriented programming with Java. It introduces the basic concepts and principles of the Object Oriented approach such as: (i) Abstraction and Encapsulation principles, (ii) Classes, objects and the constructor concepts, (iii) Information hiding principle and the assessors' concept. (iv) Methods, the message passing and the overloading principles.

CSC 329 – Computer Networks (3-0-1)
Course Description	This course covers the theoretical as well as hands-on knowledge of Computer Networks covering all the fundamental aspects of networking such as OSI, TCP/IP, LANs, MANs,WANs, Routing Protocols, Switching etc. This course will discuss the design of small to medium size networks as well as different networking issues related to routing and switching.
Prerequisite	CSC 227 - Operating Systems.
Textbook	Computer Networks by Andrew S. Tanenbaum (4th edition). Computer Networks and Internets by Douglas E. Comer (5th edition). CCNA ICND1 and ICND2 official exam certification guides by Wendell Odom.
Course Objectives	The objective of this course is to equip students with theoretical as well as hands-on knowledge of Computer Networks covering all the fundamental aspects of networking such as OSI, TCP/IP, LANs, WAN, Routing Protocols, Switching etc. At the end of the course, students should be able to handle small to medium size networks and have the ability to implement and troubleshoot different networking issues related to routing and switching.

CSC 339 – Theory of Computation (3-0-1)
Course Description	Mathematical preliminaries. Regular languages, regular expression, deterministic and non-deterministic finite automata, closure properties and pumping lemma. Context-free grammar and languages, pushdown automata and pumping lemma. Turing machines, the Church-Turing Thesis, Computability. Decidability and the Halting problem. Complexity, class P and NP.
Prerequisite	CSC 281 - Discrete Mathematics for Computer Science.
Co-requisite	CSC 311 - Design and Analysis of Algorithms.
Textbook	Introduction to the Theory of Computation (second edition) by Michael Sipser. Editor: Thomson Course Technology
Course Objectives	The course aims at answering two questions: what can be computed by a machine? And how efficiently? It starts by presenting machines models, then addresses the computability problem, and then the complexity of algorithms and their classification according to it.

CSC 340 – Programming Languages and Compilation (3-0-1)
Course Description	Programming Languages: features, design and translation issues. Lexical Analysis. Syntactic Analysis. Semantic Analysis. Code Generation.
Prerequisite	CSC 339 - Theory of Computation.
Textbook	Concepts of Programming Languages by Robert Sebesta, Addison-Wesley. Compiler Construction: Principles and Practice by Kenneth C. Louden, PWS Publications.
Course Objectives	The objective of this course is to explore different types of programming languages and their features, and study translation/compilation techniques used in translating the high-level languages to a machine language. A basic compiler for a small programming language will be implemented during the semester.

CSC 342 – Software Engineering (3-0-1)
Course Description	This course focuses on the Software Engineering concepts that are needed to develop software systems that can meet basic functional requirements within a well-defined problem domain. It covers the main steps in the process of developing such systems: requirements analysis, system specification, system design, and system testing. This course introduces the Object-Oriented Analysis and Design (OOAD) approach, and explains the various models of the software that need to be created, the notations to be used for the models (and particularly selected parts of the Unified Modeling Language, or UML). Students participate in teams of three or four on developing software systems, including the feasibility study requirements, and OOAD.
Prerequisite	CSC 212 - Data Structures.
Textbook:	Ian Sommerville, “Software Engineering”. Eighth Edition, Addison-Wesley, 2007. Timothy C. Lethbridge and Robert Laganière, “Object-Oriented Software Engineering: Practical Software Development using UML and Java”, 2nd Edition, McGraw Hill, 2001.
Course Objectives	The objectives of this course are to: Provide students with an overview of software engineering. Raise the awareness of students about the ethics in software engineering and issues of professional responsibility. Understand the software engineering process and life-cycle. Understand the principles of software process management. Provide students with necessary skills to perform requirements’ analysis. Provide students with necessary skills to build system design based on requirements’ analysis. Educate students principles of object-oriented analysis and design, and basics of UML. Learn the various testing techniques, including unit testing, functional testing, integration and systems testing.

CSC 361 – Artificial Intelligence (3-0-1)
Course Description	The course will provide an introduction to artificial intelligence. Topics include: problem solving using search (search procedures e.g. depth-first, breadth-first, A*, etc.), constraint satisfaction problems, game playing, knowledge representation and inference procedures. Abstract highlights cover an advanced AI topic (e.g. machine learning, natural language processing). Students will do a small project in this course as well.
Prerequisite	CSC 212 - Data Structures.
Textbook	Artificial Intelligence: A modern approach Stuart Russell and Peter Norvig, Prentice Hall, 2006.
Course Objectives	The objective of this course is to develop the students' ability to understand the concepts of AI. The students will be taught and required to practice the informed and un-informed search techniques, problem formulation, optimization techniques, knowledge representation and detailed game theory. The students are expected to present their skills by a course project.

CSC 380 – Introduction to Database Concepts (3-0-1)
Course Description	Purpose of Database Systems, View of Data, Data Models, Data Definition Language, Data Manipulation Language, Transaction Management, Storage Management, Database Administrator, Database Users, Overall System Structure. Entity Sets, Relationship Sets, Design Issues, Mapping Constraints, Keys, E-R Diagram, Design of an E-R Database Schema. Structure of Relational Databases, Relational Algebra, Extended Relational-Algebra-Operations, Modification of the Database, Reduction of an E-R Schema to Tables. Basic Structure, Set Operations, Aggregate Functions, Null Values, Nested Sub-queries, Derived Relations, Views, Modification of the Database, Joined Relations, DDL, DML. First Normal Form, Relational Database Design, Functional Dependencies, Decomposition, Boyce-Codd Normal Form, Third Normal Form, Overall Database Design Process.
Co-requisite	CSC 212 - Data Structures.
Textbook	Fundamentals of Database Systems. ElMasri, Navathe, 5th Edition Addison Wesley.
Course Objectives	This course aims at giving the students a broad foundation in the fundamental concepts of database. This should allow students to design and implement real life databases, in addition to evaluate existing ones. Students will be able to use query of different types of complexity.

CSC 496 – Graduation Project-I (2-0-0)
Course Description	This course is the first part of a sequence of two courses (CSC496 and CSC497) that in entirety constitute the BSc graduation capstone project. In this project, the student is expected to develop software for a specific problem by applying previously learned concepts and methods during the course of the project. In this course the student is typically expected to study the problem, see what others have done, perform the analysis, determine the requirements and suggest/design a solution. The project will culminate in a formal public presentation, and written documentation. Oral and written progress reports are required. The project topic may be provided by the faculty, by the student(s) or by the industry. The topic is subject to the departmental approval.
Prerequisite	Student must have finished at least 100 hours in the BSc program.
Course Objectives	This course is a semester-long team project, where students apply a broad range of skills learned in earlier courses, and demonstrate their competence in technical material, communications, and project skills.

CSC 497 – Graduation Project-I (4-0-0)
Course Description	This course is the second part of a sequence of two courses (CSC496 and CSC497) that in entirety constitute the BSc graduation capstone project. In this project, the students will continue the software development of the problem they picked in CSC496. The project will culminate in the delivery of a working system, a formal public presentation, and written documentation. Oral and written progress reports are required.
Prerequisite	CSC 496 - Graduation Project-I.
Course Objectives	This course is a semester-long team project, where students continue what they did in the first part of this project. In this part there are expected to do the actual implementation and evaluation.

CSC 999 – Practical Training – (1-0-0)
Course Description	Training is an important aspect of the educational process in CCIS. Student is required to join a government or private sector IT center. The aim of the training is to acquire the experience in applying what he learned in real life. The training is evaluated by the training advisor at the IT center and by the CCIS training committee.
Prerequisite	Student must achieve his training during the summer before his graduation year.
Course Objectives	This summer training for college students aims to provide them with a sound foundation out of theoretical and practical hands on knowledge and experience in the field of computer science. The course will provide students insight in to design methodology and implementation using different types of programming languages in different environments.

B. Elective Courses

CSC 226 – Unix OS Environment (1-2-0)
Course Description	Overview of the Unix OS, basic concepts, usage of the help and man and info commands. Unix file system and basic commands. Redirection and pipelining. Filtering commands: line searching, (grep, egrep and frep), line content manipulation (cut, sort, tr …). Line visualization (pr, pg, more, tail, fmt, …), comparing files (diff and cmp). Users and user-rights. Process management. The command find. Shell programming. The awk and sed commands.
Prerequisite	CSC 111 - Computer Programming I .
Textbook	Ellie Quigley: “Unix ® Shell by Example” 4th edition, Prentice Hall, 2005. David I. Schwartz: “Introduction to UNIX”, 2nd Edition, Prentice Hall, 2006.

CSC 261 – Artificial Intelligence Programming Languages (3-0-1)
Course Description	This course provides an overview of functional, logic and constraint logic programming paradigms used in the context of artificial intelligence. The course focuses on Prolog language syntax and semantics: lists, operators, arithmetic, structures, input/output, built-in predicates, etc. It emphasizes constraint handling and solving combinatorial problems involving constraints.
Prerequisite	CSC113 - Computer Programming II.
Textbook	Prolog: Programming for Artificial Intelligence by Ivan Bratko,(Latest edition), Addison-Wesley.

CSC 320 – Systems Programming (3-0-1)
Course Description	The course aims to give the students a theoretical and practical understanding of the programming interface to a Unix system, including the system call interface and many of the functions provided in the standard C library. Topics covered include an overview of the basic Unix programming concepts, an introduction to shell programming, unbuffered I/O, the standard I/O library, the environment of a Unix process, process control, signals, and interprocess communication.
Prerequisite	CSC 227- Operating Systems.
Textbook	Advanced programming in the UNIX environment, Last Edition, by W. Richard Stevens, Stephen A. Rago. Addison Wesley.
Course Objectives	A theoretical and practical understanding of the internal operation of a Unix system. A practical use and application of a Unix system call interface that supports I/O, processes, signals and IPC. A practical use and application of the C standard I/O library functions.

CSC 383 – Advanced Database Systems (3-0-1)
Course Description	The goal of this course is to introduce the students to the following fundamental data management issues: database file organization, indexing, query processing and optimization, transaction, concurrency control, recovery system as well as other advanced topics.
Prerequisite	CSC 380 - Introduction to Database Concepts.
Textbook	Database System Concepts”. Silberschatz Mc Graw Hill Fourth/Fifth Edition.

CSC 384 Applied Numerical Computation (3-0-1)
Course Description	This is an introductory course on Numerical Analysis and Methods. Topics include: errors and their propagation, floating-point computation, algorithms and numerical stability, linear systems of equations, interpolation, difference equations, curve fitting, nonlinear equations, numerical differentiation and integration.
Prerequisite	CSC 311 - Design and Analysis of Algorithms. MATH 244 - Linear Algebra.
Textbook	Applied Numerical Analysis C.F. Gerald and P.O. Wheatley, Addison-Wesley (7th edition, 2003).

CSC 385 – Database Applications (2-2-1)
Course Description	This course aims at giving student acquainted with database manipulation. The student will deal with database schemas as well as user rights, database manipulations and querying. PLSQL, trigger and stored procedures will be introduced as a second step. Different design tools (forms, reports, etc.) will be introduced as a third step of the course.
Prerequisite	CSC 380 - Introduction to Database Concepts
Textbook	Fundamentals of Database Systems ElMasri, Navathe 5th Edition Addison Wesley SQL materials.

CSC 412– Simulation and Modeling (3-0-1)
Course Description	Introduction to Simulation. Concepts in Discrete-event Simulation (DES). Components of DES. Monte Carlo simulation, the life cycle of a simulation study, input and output data analysis, world views and time control, random number generation, credibility assessment of simulation results, simulation languages, Parallel and Distributed Simulation, applications of simulation using contemporary simulation modeling and support software.
Prerequisite	CSC 111 - Computer Programming I STAT 324 - Engineering Probability & Statistics
Textbook	A.M. Law and W.D. Kelton: “Simulation Modeling and Analysis”, McGraw Hill, 2000.

CSC 429 – Computer Security (3-0-1)
Course Description	Security principle, model and attacks. Cryptography, public key and secret-key cryptography. Authentication and digital signature. Key management and cryptographic protocol. Access control. Building secure system. Security in operating systems. Security in computer networks. Management and analysis of security. Risk assessment. Computer security policy. International information security standards. Intrusion detection and incident response.
Co-requisite	CSC 329 - Computer Networks
Textbook	Introduction to Computer Security, Mat Bishop.
Course Objectives	The course aims at giving the students a broad foundation in the fundamental concepts of Computer Security. It introduces the basic concept and principles of computer security such as: Security requirements, encryption, access control, malicious software, security policy and management.

CSC 430 – Computer Arabization (3-0-1)
Course Description	System Arabization level (screen Arabization, keyboard Arabization, printer Arabization, font and codepage manipulation, creating visual Arabic interfaces, etc.);Introduction to Arabic natural language processing (Arabic morphological analysis, Arabic syntax and semantics, Classical models, Applications); Applying neural networks in Arabic natural language processing (neural networks for Arabic morphological analysis, neural networks for syntactic analysis); The phonetic properties of the Arabic language (Arabic allophones, isolating Arabic allophones, characterization of Arabic allophones, using Arabic allophones in some applications.
Prerequisite	CSC 320 - Systems Programming.
Textbook	Collection of papers and articles.
Course Objectives	The objective of this course is to be aware of the state-of-the-art in Computer Arabization.

CSC 440–Human Computer Interaction (3-0-1)
Course Description	Introduction to HCI. The Human User: Capabilities and Limitations. The Computer: Capabilities and Limitations. The Interaction: Models of Interaction and Interaction Styles. Usability Principles: Principles of HCI that support user friendliness. Interface design: dialog notation and design - Visual Design. Design support: Systems that support the design process. Usability Evaluation. Introduction to Speech Computing and other Forms of Input/output.
Prerequisite	CSC 342 - Software Engineering.
Textbook	Human-Computer Interaction, Third Edition by Alan Dix et al, Prentice Hall (2004).

CSC 442 – Advanced Software Engineering (3-0-1)
Course Description	This course aims to provide a comprehensive presentation of the key concepts and models and methodologies used in object-oriented approaches in software engineering. The Object-Oriented Analysis and Design using UML combines instruction on the software development processes, object-oriented technologies, and the Unified Modeling Language (UML). Students are provided a pragmatic approach to object-oriented (OO) software development using a widely adopted methodology (the Unified Process), the 1.4 UML specification, and OO technologies, such as the Java(TM) programming language. This course progresses through: a primer on OO technology and software development methodologies, requirements gathering and analysis (including interviewing stakeholders), system architecture and design, implementation, testing, and deployment. The classroom lectures expose students to other proven OOAD practices, such as class-responsibility- collaboration (CRC) analysis (used to discover the Domain entities) and Robustness analysis (used to move from analysis to design).Students will participate in a group project on object-oriented software engineering.
Prerequisite	CSC 342 - Software Engineering.
Textbook	S. Bennett, S. McRobb, and R. Farmer (2006). Object-Oriented Systems Analysis and Design Using UML. 3rd Edition, McGraw-Hill. G. Booch et al. (2007). Object-Oriented Analysis and Design with Applications. 3rd Edition, Addison-Wesley.

CSC 443 – IT/Software project management (3-0-1)
Course Description	Project life cycle; Project constraints; Project organization; Risk management; Project cost; Integrated schedule and critical path analysis; Baseline cost; Team building; Project planning; Reporting on project status; Closing and sign-off.
Prerequisite	CSC 342 - Software Engineering.
Textbook	Kathy Schwalbe, Information Technology Project Management, 2nd Edition, Course Technology, 2002. Anita Rosen, Effective IT Project Management, Prentice-Hall, 2008.

CSC 444 – Software testing (3-0-1)
Course Description	Introduction - Automated software testing (JUnit, XUnit) - Testing processes - Software validation and verification – Function and acceptance testing - Equivalence partitioning - Path testing – Cyclomatic complexity - Integration testing – Regression testing - Stress testing - Incremental testing - Object-oriented testing - Software testing tools - Software testing in extreme programming - Testing in agile development environments.
Prerequisite	CSC 342 - Software Engineering.
Textbook	G.J. Myers, T. Badgett, T.M. Thomas and C. Sandler, "The Art of Software Testing", 2nd ed., Wiley, 2004.

CSC 446 – Design Patterns (3-0-1)
Course Description	This course aims at giving student the ability of design programs using patterns. A design pattern is a general repeatable solution to a commonly occurring problem in software design. Design patterns deal specifically with problems at the level of software design. Definition, context of use will be introduced along with their classification. Some of the most used pattern will be studied such as : Abstract factory, Factory method, Builder, Lazy initialization, Object pool, Prototype, Singleton, Adapter, Bridge, Composite, Decorator, Façade, Flyweight ,Proxy, Chain of responsibility, Command, Interpreter, Iterator, Mediator, Observer.
Prerequisite	CSC 342 - Software Engineering.
Textbook	Design Patterns: Elements of Reusable Object-Oriented Software Addison-Wesley, Erich Gamma, Richard Helm, Ralph Johnson, John M. Vlissides.

CSC 453 - Parallel Processing (3-0-1)
Course Description	Introduction to parallel processing. Models of parallel machines. Parallel programming paradigms and models. Performance analysis of parallel systems. Parallel programming languages and frameworks.
Prerequisite	CSC 227 - Operating Systems.
Textbook	F. T. Leighton, Introduction to Parallel Algorithms and Architectures, Morgan Kaufmann, 1992. Joseph Jaja, Introduction to Parallel Algorithms, Addison Wesley, 1992.

CSC 456 – Distributed Systems (3-0-1)
Course Description	Understanding the main characteristics of distributed systems and the various design choices required for building a distributed system such as: the architectural models varying from client/server to peer-to-peer, grid-computing; the communication models varying from client-pull (RPC/RMI, Message Queuing, …) to server-push models (publish-subscribe, …); the synchronization techniques based on system clock, on logical clock (timestamp) and on token ring; the standard middlewares such as RPC, RMI, Corba and SOAP.
Prerequisite	CSC 329 – Computer Networks.
Textbook	Distributed Systems: Concepts and Design by G. Coulouris, J. Dollimore and T. Kindberg. Distributed Systems: Principles and Paradigms by A. S. Tanenbaum and M. V. Steen. Distributed Computing: Concepts and Applications by M.L Liu.
Course Objectives	The course aims at giving the students a broad foundation in the fundamental concepts of distributed systems accompanied by specific project to develop the basic skills in network programming using RMI or RPC. It introduces the basic architectural models of distributed systems as well as the communication paradigms such as Publish/Subscribe, Message passing, Remote Procedure Call/ Remote Method Invocation, Message Queuing, etc. Besides, it presents various techniques of synchronization. It aims too to introduce distributed algorithms such election, mutual exclusion, etc.

CSC 457 – Internet Technologies (3-0-1)
Course Description	An overview of Internet technologies (definitions, evolutions, examples, and, applications). Publishing and browsing technologies. Internet tools. TCP/IP and Client/server architectures. WWW, HTTP and HTML for text, images, links and forms. Web-based applications development: client-side scripting, server-side scripting and the MVC design approach. WEB site development. Security and privacy.
Prerequisite	CSC 329 – Computer Networks.
Textbook	Computer Networks by Andrew S. Tanenbaum, 2003.
Course Objectives	The goal of this course is to provide an introduction to the basic concepts of the technologies that are used on the Internet. Students learn about building blocks of internet. They learn about various protocols used by internet. Students learn about web servers, search engines and software tools required to implement a website.

CSC 459 – Net-Centric Computing (3-0-1)
Course Description	Overview of most important distributed algorithms such as election, mutual exclusion, termination detection and concurrency control; Object based distributed systems concepts and the CORBA standard middleware; Introduction to component based distributed systems with focus on implementation issues and on related technologies; SOA and Web-services technologies with focus on SOAP and WSDL; Advanced distributed computing models such peer-to-peer and Grid computing with emphasis on related technologies such as Juxta, Net and Globus toolkit.
Co-requisite	CSC 456 - Distributed Systems.
Prerequisite	CSC 329 - Computer Networks.
Textbook	Distributed Systems: Concepts and Design by G. Coulouris, J. Dollimore and T. Kindberg. Distributed Systems: Principles and Paradigms by A.S. Tanenbaum and M.V. Steen.

CSC 462 – Machine Learning (3-0-1)
Course Description	This course gives an overview to machine learning concepts, techniques, and algorithms. Topics include: inductive learning, decision trees, artificial neural networks, instance-based learning, clustering, reinforcement learning, and some examples of application domains.
Prerequisite	CSC 361- Artificial Intelligence.
Textbook	Machine Learning, Last edition, by Tom M. Mitchell. McGraw Hill.

CSC 463 – Knowledge Engineering and Expert Systems (3-0-1)
Course Description	The course will provide an introduction to knowledge-based systems. Topics include: knowledge representation and inference, representing uncertainty using probabilistic logic and fuzzy logic, non-monotonic reasoning and knowledge acquisition. The students will do a programming project related to knowledge-based systems.
Prerequisite	CSC 361- Artificial Intelligence.
Textbook	Expert Systems: Principles and Programming by Giarrantano and Riley, Thomson. Introduction to Expert Systems by Peter Jackson, Addison-Wesley.

CSC 476 – Computer Graphics (3-0-1)
Course Description	This course is an introduction to computer graphics, with an emphasis on application programming using OpenGL software. The topics covered are: Introduction to Computer Graphics - Graphics Display Devices - Drawing Based Graphics Primitives - Transformation of Object - 3D Affine Transformation.-Three-Dimensional Viewing - Tools for Raster Displays - Scan conversion Algorithms - Defining and Filling Regions of Pixel. - Filling Polygon-Defined Regions. - Aliasing :Anti-aliasing Techniques. - Creating more Shades and Colors.
Prerequisite	CSC 212 - Data Structures.
Textbook	Hill, J.S. Jr., Computer Graphics Using OpenGL, 2nd Edition, Prentice Hall.

CSC 478 – Digital Image Processing and Analysis (3-0-1)
Course Description	Introduction; Image Sensing and Acquisition; Some Basic Gray Level Transformations for Image Enhancement.; Image Contrast Enhancement Using Histogram Processing; Image Smoothing Using Spatial Filters; Image Sharpening Using Spatial Filters; Point, Line and Edge Detection; Basic image compression procedures; Basic Global and Adaptive Thresholding for Image Segmentation; Optimal Global and Adaptive Thresholding for Image Segmentation; Region-Based Image Segmentation and Edge-Based Segmentation; Image Restoration in the Presence of Noise-Spatial Filtering; Image Enhancement in Frequency Domain; Objects Representation and Description; introduction to Object Recognition.
Prerequisite	CSC 212 - Data Structures.
Textbook	Rafael C Gonzalez, Richard E Woods 2nd Edition, Digital Image Processing - Pearson Education 2003. Image Processing Analysis and Machine Vision – Millman Sonka, Vaclav hlavac, Roger Boyle, Broos/colic.

CSC 484 – Information Retrieval (3-0-1)
Course Description	This course is intended to prepare students to understand the underlying theories and methods for searching and retrieval of text and bibliographic information, analysis of relevance, utility, statistical and linguistic methods for automatic indexing, query formulation, output ranking, filtering methods, measures of retrieval effectiveness and retrieval experimentation Methodology.
Prerequisite	CSC 383 - Advanced Database Systems.
Textbook	Ricardo B. , Berthier R. : “Modern Information Retrieval” Addison Wesley.

CSC 493 – Selected Topics in Computer Science (3-0-1)
Course Description	This course aims at introducing the students to a different area of Computer Science. This will be achieved by exposing them to new tools, techniques, and research in Computer Science.
Prerequisite	Student must finish 100 Credit Hours.
Textbook	Journals and Magazines relevant to the topics covered.

Program Guide for Master Degree

Program Structure (Thesis Option)

Course code	Area	Credit hours
--	5 core courses	14
--	4 elective courses	12
CSC 600	Thesis	-
	Total	26

A. Core Courses:

All students must take these courses.

Course Code	Course Title	Credit Hours
CSC 512	Algorithms Analysis and Design	3
CSC 524	Computer Networks	3
CSC 541	Advanced Software Engineering	3
CSC 581	Advanced Database Systems	3
CSC 595	Seminar and Discussions	2
Total		14

B. Elective Courses:

The student must choose 4 courses from 2 tracks.

Track	Course code	Course title	Credit hours
Computer Systems and Networks	CSC 519	Computer Security	3
	CSC 520	Networking in the TCP/IP Environment	3
	CSC 523	Distributed Systems	3
	CSC 527	Design and Implementation of Real-time Systems	3
	CSC 528	Interconnection Networks	3

Track	Course code	Course title	Credit hours
Database Systems	CSC 586	Hypermedia and Geographical Information Systems	3
	CSC 587	Web Databases and Information Retrieval	3
	CSC 588	Data Warehouse and Mining Systems	3

Track	Course code	Course title	Credit hours
Software Engineering	CSC 543	Software Quality Management	3
	CSC 546	Designing Object-Oriented Software Systems	3
	CSC 547	Software Measurements	3
	CSC 548	Software Projects Management	3

Track	Course code	Course title	Credit hours
Computer Graphics and Human-Machine Interaction	CSC 572	Advanced Computer Graphics	3
	CSC 573	Numerical Algorithms and their Applications in CS	3
	CSC 574	Human-Machine Communication and User-Interface Design	3
	CSC 576	Graphics and Multimedia Applications	3
	CSC 578	Advances in Multimedia Applications	3

Track	Course code	Course title	Credit hours
Artificial Intelligence	CSC 558	Pattern Recognition and Image Processing	3
	CSC 561	Expert Systems and Knowledge Engineering Applications	3
	CSC 562	Artificial Intelligence	3
	CSC 563	Neural Networks and Machine Learning Applications	3
	CSC 566	Advanced Applications of Pattern Recognition and Machine Learning	3
	CEN 545	Digital Image Processing	3

Track	Course code	Course title	Credit hours
Programming Languages	CSC 535	New Advances in Programming Languages	3
	CSC 551	Automata, Calculability and Formal Languages	3
	CSC 552	Computational Linguistics	3

Program Schedule

First Semester

Course Code	Course Title	Credit Hours
CSC 512	Algorithms Analysis and Design	3
CSC 524	Computer Networks	3
CSC 541	Advanced Software Engineering	3
Total		9

Second Semester

Course code	Course Title	Credit hours
CSC 581	Advanced Databases Systems	3
-	A course from the first chosen track	3
-	Another course from the second chosen track	3
Total		9

Third Semesters

Course code	Course Title	Credit hours
CSC 595	Seminar and Discussions	2
-	A course from the first chosen track	3
-	Another course from the second chosen track	3
Total		8

Fourth and Fifth Semesters

Course code	Course Title	Credit hours
CSC 600	Thesis	-

Course Description

The graduate program in Computer Science covers the major topics in Computer Science. It is our belief that the department must serve a wide stream of students, which will undoubtedly be coming with varying backgrounds and objectives. For this reason, the program proposed herein has been stretched out to cover most of the important areas of computer science: Computer Networks, Database Systems, Software Engineering, Computer graphics and Human-machine Interaction, Artificial Intelligence, and Programming Languages.

CSC 512: Algorithms Analysis and Design (3+0)

Review of major data structures - Basic design techniques - Divide and conquer - Greedy method - Backtracking - Dynamic programming - Heuristics - Parallel algorithms - Analysis of algorithms - Orders of magnitude - Lower bound theory - Time and space complexity - NP-hard and NP-complete problems - applications and examples - Correctness of algorithms - Structure of algorithms.

CSC 519: Computer Security (3+0)

Threats and vulnerabilities - Identification and authentication - Access control - Intrusion detection - Encryption and privacy - Security policies and their evaluation.

CSC 520: Networking in the TCP/IP Environment (3+0)

Review of Network Technologies for LANs and WANs - Inter-networking Concepts and Architectures - Internet Addressing - Internet Routing Protocols - Internet Error Control - Protocol Layering in Internet environments - Application development in a TCP/IP environment - Standard TCP/IP applications – other related topics.

CSC 523: Distributed Systems (3+0)

General concepts of operating systems - Distribution: concepts and definitions - Architecture of distributed systems - Control in distributed systems: centralized versus distributed - Concept and forms of transparency in distributed systems - Naming concepts - classification and Implementation of different naming schemes – Inter-process communication: concepts, mechanisms, and implementation - Resource allocation and implication on load sharing - Load balancing - Process migration - Clock synchronization: concepts, problems and solutions - Concurrency control in distributed environments: concepts, approaches and implementation.

CSC 524: Computer Networks (3+0)

Review of general concepts - LAN and WAN - Management of token ring networks - ISO model of seven layers - Network standard specifications - Urban networks - Large bandwidth networks - Gates - Network design and performance - Network programming - Error detection - Security and privacy.

CSC 525: Distributed Real-Time Systems (3+0)

Real-time issues and concepts - Time handling task scheduling problems - Resource scheduling - Inter-process communication in real-time environments - Real-time communication protocols - Predictability problem.

CSC 526: Parallel Processing (3+0)

Introduction to parallel processing - Architectures and models for parallel machines - Design and evaluation of parallel algorithms - Communication in a parallel processing environment - Writing parallel applications using Multi-Pascal tool - Writing parallel applications using PVM.

CSC 527: Design and Implementation of Real-Time Systems (3+0)

Real-Time issues and concepts - Real-Time Systems: definitions and classification - concepts of hard real-time systems and soft real-time systems - the concept of time and its importance in Real-Time Systems - Real-Time applications and support Real-Time Languages - Specific hardware interfaces for Real-Time Systems: real-time data collection and processing - Different types and levels of Control in Real-Time Systems (e.g. closed-loop control) - Real-Time Operating Systems - Predictability in Real-Time Systems - Introduction to methodologies for the design and implementation of Real-Time Systems - Cases studies.

CSC 528: Interconnection Networks (3+0)

Introduction and background - The graph-theoretical approach - Criteria to evaluate interconnection networks - Issues in designing interconnection networks - Classification and evaluation - The need for higher-performance computers - Flynn’s taxonomy - Computational speedup - Factors that limit speedup - Grosch’s and Amdahl’s laws - Different interconnection networks: Mesh Networks - Binary Tree Networks - Hypertree Networks - Pyramid Networks - Butterfly Networks - Hypercube Networks - Cube Connected Cycles Networks - Shuffle Exchange Networks - de Bruijn Networks - Star Networks and Star-Connected Cycle Networks.

CSC 529: Selected Topics in Computer Systems (3+0)

Contemporary topics and research directions in computer systems.

CSC 530: High Performance Computations (3+0)

Review of major causes of performance degradation in scientific computing - The scheduling problem: classification and solutions - Task scheduling - Load balancing algorithms - Deadline scheduling for real-time systems.

CSC 535: New Advances in Programming Languages (3+0)

Review of formal languages - Standard models of programming languages - Concept of typing - Scope of variables - Subroutines - Logical programming - Execution environment - Visual programming - Object oriented programming - Design and programming of VOOR languages - Programming in visual environment - Visual programming and software engineering - Contemporary topics.

CSC 541: Advanced Software Engineering (3+0)

Review of known methodologies - Analysis of software requirements - Real Time software - Software Cost - Software Project Management - Software Quality - Software Testing - Software Measurements - Software Risk Management - Introduction to Object Programming - Case Study.

CSC 543: Software Quality Management (3+0)

Introduction to Quality Management Systems and Total Quality - ISO Quality System and its application to software industry - Capability Maturity Model (CMM) and its five levels - Tick IT system - Quality Assurance - Application of Quality Systems - Software Tools for Quality - Case Study.

CSC546: Designing Object-Oriented Software Systems (3+0)

Review of known methodologies and principles of Object Engineering - Unified Modeling Language (UML) - Comparative study of available methodologies - Conversion methodology to object design - Evaluation of object design and use of object metrics - Use of object methodology - Case Study.

CSC 547: Software Measurements (3+0)

Importance of measurements and metrics in software - Basics of measurements - Experimental measurements - Collection of measurements - Analysis of measurements - Measurements used for length, size, effort and time - Zeipf law - Structure measurements - Information flow measurements - Building software metrics - Planning for software measurements - Measurements of object oriented software - Tools used in software measurements - Case study.

CSC 548: Software Projects Management (3+0)

Introduction to project management - Basic activities of software project management - Charts used in project management - Evaluation and acceptance of project phases - Advanced techniques of project management as for maintenance - Project scheduling - Project insurance and arbitrage - Project management tools - Case study.

CSC 549: Selected Topics in Software Engineering (3+0)

New trends in the area of software engineering - methodology of application - current research topics.

CSC 551: Automata, Calculability and Formal Languages (3+0)

Finite state automata and regular expressions - Regular sets - the Pumping lemma - Context-free grammars and derivation trees - Chomsky and Greiback normal forms - Context-free languages - Recognizers - Turing machines - recursive and recursively innumerable languages - Decidability problems - The halting problem - Rice’s theorem and Chomsky hierarchy.

CSC 558: Pattern Recognition and Image Processing (3+0)

Digital Image fundamentals - Images enhancement in spatial and frequency domain - Images degradation and restoration - Detection of discontinuities in images - Images segmentation - Representation of objects - Boundary, Regional, and Relational descriptors – Patterns and Pattern Classes – Recognition based on Decision Theoretic and Structural Methods

CSC 561: Expert Systems and Knowledge Engineering Applications (3+0)

A brief introduction to expert systems – A brief presentation of knowledge representation paradigms (the emphasis will be put on rule-based systems) - inference rules - resolution - basic aspects of reasoning under uncertainty - ·Case studies: MYCIN - CLIPS - Application Modeling in CLIPS.

CSC 562: Artificial Intelligence (3+0)

Introduction to AI problem solving - Knowledge representation - Automatic theorem proving - Learning by example - Learning by analogy - Learning by discovery - Self-reference and Self-production - Reasoning: causal reasoning - commonsense reasoning - default reasoning - measure-based approaches - reasoning with uncertainty - Confirmation theory - Belief theory - Necessity and possibility theory - Theory of endorsements - Spatial and temporal reasoning.

CSC 563: Neural Network and Machine Learning Applications (3+0)

Approaches to machine learning: Explanation-based learning - Learning by observation and discovery - Analogical and Case-based Learning - Learning Models - Evaluation of Learning Algorithms - Experimental Methodology - Empirical Learning - Reinforced Learning and Genetic algorithms - Neural Computations: examples and applications - History of Artificial Neural System development - Fundamental Concepts and Models of Artificial Neural systems. Applications: Neural Network Simulation and Implementations and other emerging applications of Neural Algorithms and Systems.

CSC 566: Advanced Applications of Pattern Recognition and Machine Learning (3+0)

The content of the course may be designed from the areas: Image processing and analysis - Speech processing - Geographical Information System - Fuzzy reasoning - Computer vision - perception and any other emerging relevant topic(s).

CSC 567: E-Business and its applications in large enterprises (3+0)

Computer architecture and its application in large enterprises - Modeling - introduction to ERP - Java Management Extensions technology JMX - Language and platform-independent protocol for peer-to-peer networking - JXTA - Case studies in distributed computing - Large enterprises and computer security.

CSC 569: Selected Topics in Artificial Intelligence (3+0)

Contemporary topics and research in Artificial Intelligence.

CSC 572: Advanced Computer Graphics (3+0)

Mathematics for computer graphics in three dimensions - Hierarchical representation and basic shapes - Surfaces and curves in three dimensions - Three dimensional modeling - Solid bodies modeling - Three dimensional viewing - Visible surface - Illumination and shades - Texture mapping - Computer Graphics Systems: Open GL - Animation techniques - Case study.

CSC 573: Numerical Algorithms and their Applications in CS (3+0)

Review of vectors and matrices: transformation matrices in computer graphics, Computations of the normal vector to a surface - Introduction to Probability and Random Variables: Probability Density Functions in image processing - Introduction to Numerical differentiation and integration - Newton’s and Gradient algorithms in image processing - Least-Squares algorithm, Curve fitting, COCOMO model calibration - Steganography algorithms - Introduction to MATLAB.

CSC 574: Human-machine Communication and User-Interface Design (3+0)

Introduction to Human sensory systems - Human memory and Human Learning User Interface Styles: Design Considerations - Dialog Content Design - Design Methodology - Visual Design - Basic Interaction-handling Models - Introduction to Human-Computer Dialog Management - Introduction to Visual Form Recognition: Pen Computing - Photography and other Visual Forms such as Finger Print Input Systems - Font and Symbol Design - Introduction to Speech Computing and other Forms of Input/Output - Speech Presentation - Speech Understanding and Recognition - Speech Generation - Gesture and Odor Input/ Output.

CSC 576: Graphics and Multimedia Applications (3+0)

Traditional Animation - Computer Animation Tools - 3D-Animation Environment - Special Animation Techniques - Today’s Animation Systems (Hardware/Software) - Applications of Computer Animation - Introduction to Virtual Reality and its applications.

CSC 578: Advances in Multimedia Applications (3+0)

Recent advances in Multimedia technology - Hardware/Software Architectures - Tools and Environments - Virtual Reality Technology (Hardware/Software) - Multimedia Components in Virtual Reality Systems.

CSC 579: Selected Topics in Computer Graphics (3+0)

New topics, methods, techniques and tools in computer graphics - research directions.

CSC 581: Advanced Database Systems (3+0)

Review of Basic Modeling Techniques and DBMS Concepts - Components and Functions of a DBMS - Query processing and optimization - Concurrency Control - Security - Recovery - Integrity in DBMSs - Distributed Databases - Study of Intelligent Database Systems - Study of different Object-Oriented Data Models - Introduction to XML technologies - Project: Development of a database application.

CSC 586: Hypermedia and Geographical Information Systems (3+0)

Multimedia and hypermedia Systems - Different Development Methodologies - Architectures - Query processing and Browsing Tools - Development of Hypermedia Systems on the World Wide Web (www) Databases - WWW and its Browsing Tools - Data Modeling Techniques and Development of Data Warehouse in an Architectured Environment - Conceptual Modeling and Analysis of Spatial Data - Spatial Reasoning - Query Processing - Indexing Techniques - Data Storage - Hypermaps - Spatial Knowledge - different application domains - Project: Development of a prototype system.

CSC 587: Web Databases and Information Retrieval (3+0)

Modeling - Query operations - Markup languages - XML technologies and its applications - Searching the Web - IR models and Languages - Indexing and Searching - Digital libraries - Project: Designing and developing parts of IR Systems.

CSC 588: Data Warehouse and Mining Systems (3+0)

Introduction to Decision Support Systems (DSS) - Development of DSS - Data Modeling Techniques and Development of Data Warehouse in an architectured Environment - Study of different Data Warehouse Architectures and Development Techniques - User-Interface for Data Warehouses - Data Mining - Application Domains for Data Warehouse and Mining - Project: Development of a Prototypical Data Warehouse/Mining System

CSC 589: Selected Topics in Database Systems (3+0)

Contemporary topics - recent research directions.

CSC 590: Selected Topics in Computer Applications (3+0)

Selected Topics in Computer Applications.

CSC 595: Seminar and Discussions (2+0)

The student is supposed to carry out a survey research study (theoretical and technical) on topics agreed upon with the course instructor – The student will present his findings in a written report and in a seminar.

CSC 597: Project 1 (2+0)

Projects are of applied type and are meant to solve problems arising from business, governmental, or other sectors. The student selects one of the projects proposed by staff. The department project committee will manage the projects announcement and assignment. The student will present his findings in a written report that conforms to the requirements and specifications set up by the department. This course is dedicated to the first part of the project, the analysis and design part.

CSC 598: Project 2 (3+0)

This course is dedicated to the second part of the project, the implementation and test part.

CEN 523: Fail-Tolerant Computer Systems (3+0)

Systems and their failures - Faults - errors and failures - Structuring and faults - Fault error detection - Damage assessment and confinement - Error recovery and fault diagnoses.

CEN 545: Digital Image Processing (3+0)

Physical descriptions of continuous images - Sampling and quantization of images - Matrix representation of image forming - Filtering - Restoration and enhancement - Feature extraction and scene analysis.

CSC 600: Thesis

The thesis research topic is chosen by the student and approved by the Department Council.

Program Guide for PhD Degree

Course Description: Computer Science department

CSC 601 Advanced Computing Science and Applications 3(3+0)

Graph theory and applications in computer science - Computational methods and application in computing science - Advanced data structures -Applications in computing - Discrete mathematics applications in computing - New trends in computing science.

CSC 612 - Analysis and Design of Algorithms 3(3+0)

Major data structures design techniques - Divide and conquer – Dynamic programming - Heuristics - Parallel algorithms - Analysis of algorithms - Orders of magnitude - Lower bound theory - Time and space complexity - NP-hard and NPcomplete problems - Applications and examples - Correctness of algorithms -

Structure of algorithms.

CSC 618 - Selected topics in Computer Systems and Networks 3(3+0)

New trends and research directions in the area of Computer Systems and Networks.

CSC 619 - Selected topics in Computer Security 3(3+0)

New trends and research directions in the area of Computer Security including: Threats and vulnerabilities - Identification and authentication - Access control - Intrusion detection - Encryption and privacy - Security policies and their evaluation - Steganography and applications.

CSC 626 - Advanced Theory Of Computation And Computability 3(3+0)

In-depth study of concepts related to computability - Chomsky hierarchy – Turing machines - Computability - Decidability - Nondeterministic automats, recursive function theory - Theory of complexity and complexity classification.

CSC 627 - Design and Implementation of Real-Time Systems 3(3+0)

Real-Time Systems - Real-Time applications and support Real-Time Languages - Specific hardware interfaces for Real-Time Systems: real-time data collection and processing - Different types and levels of Control in Real-Time Systems (e.g. closedloop control) - Real-Time Operating Systems - Predictability in Real-Time Systems -

Introduction to methodologies for the design and implementation of Real-Time Systems - Cases studies.

CSC 628 - Selected topics in Programming Languages 3(3+0)

New trends and research directions in the area of Programming Languages.

CSC 629 - Selected topics in Arabization (3+0)

New trends and research directions in the area of Arabization.

CSC 637 - Parallel Processing 3(3+0)

Overview of High Performance Computers, parallel program performance measurement, study different paradigms for achieving parallelism including explicit and implicit parallelization, fine grain and data flow models, shared memory and message passing parallel computers, and the difference between the SIMD versus

MIMD types of Computers. Experiments will be conducted on different parallel programming frameworks, including PVM, MPI and LAP1 as provided with the IBM RS/6000 eServer computer.

CSC 642 - Advanced Software Engineering 3(3+0)

Software methodologies - Software requirements - Software Project Management - Software Cost - Software Quality - Software Testing - Software Measurements - Software Risk Management - Case Study.

CSC 647 - Software Testing, Validation, and Verification 3(3+0)

Testing in the development life cycle - Testing methodology - Methods for evaluating software for correctness, performance and reliability - Software validation and verification - Static testing - Code inspection - Dynamic testing - Unit testing - System testing - Statistical testing - Testing tools - New trends in software testing.

CSC 648 - Selected topics in Software Engineering 3(3+0)

New trends and research directions in the area of software engineering.

CSC 657 - Pervasive Computing Architecture and Design 3(3+0)

This course covers pei-vasive computing principles and applications in depth. The topics include: sensor networks; primitive data types for sensor networks; programming sensor networks; mobility support; MANETs; middleware systems; context modeling and awareness; software engineering principles for pervasive computing; usability aspects of pervasive computing; wireless security and privacy.

CSC 661 - Emergent Computing and Swarm Intelligence 3(3+0)

Evolutionary algorithms - Artificial Immune Systems - Evolving Connectionist systems - Cellular Automata - Collective Intelligence - Reverse Emergence – Cellular neural network - Amorphous computing - DNA Computing - Bioinformatics - Quantum Computing.

CSC 662: Artificial Intelligence (3+0)

Introduction to A1 problem solving - Knowledge representation - Automatic theorem proving - Learning by example - Learning by analogy - Learning by discovery – Self reference and Self-production - Reasoning: causal reasoning – commonsense reasoning - default reasoning - measure-based approaches - reasoning with

uncertainty - Confirmation theory - Belief theory - Necessity and possibility theory - Theory of endorsements - Spatial and temporal reasoning.

CSC 663 - Machine Learning 3(3+0)

This course covers the theory and practice of machine learning from a variety of perspectives (including Design, analysis, implementation and applications of learning algorithms). The course covers theoretical concepts such as induction, deduction, reinforcement and interaction. Topics include learning decision trees, neural network

learning, statistical learning methods, genetic algorithms, Bayesian learning methods, explanation-based learning, and reinforcement learning, support vector machines, decision trees, Bayesian networks, association rules, dimensionality reduction, feature selection and visualization.

CSC 668 - Selected topics in Artificial Intelligence 3(3+0)

New trends in the area of Artificial Intelligence

CSC 669 - Selected topics in Image Processing and Pattern Recognition 3(3+0)

New trends in the area of digital image processing and pattern recognition including:Images enhancement - Images segmentation - Representation of objects – Pattern Classes - Recognition based on Decision Theoretic and Structural Methods.

CSC 677 - Selected topics in Computer Graphics 3(3+0)

New trends in the area of Computer Graphics including Three dimensional Modelingand viewing.

CSC 678 - Selected topics in Virtual Reality and Computer Vision 3(3+0)

New trends in the area of Virtual Reality and Computer Vision.

CSC 679 - Human Computer Interaction 3(3+0)

New trends in the area of Human Computer Interaction including: Human sensory systems - Interaction-handling Models - Speech Computing and other Forms of Input/Output.

CSC 68v - Data Warehouse and Mining Systems 3(3+0)

Decision Support Systems (DSS) - Development of DSS - Data Modeling Techniques and Development of Data Warehouse in an architectured Environment - Study of different Data Warehouse Architectures and Development Techniques - User- Interface for Data Warehouses - Data Mining - Application Domains for Data Warehouse and Mining - Project: Development of a Prototypical Data Warehouse Mining System

CSC 688 - Selected topics in Database Systems 3(3+0)

New trends in the area of Database Systems.

CSC 691 - Bioinformatics 3(3+0)

Bioinformatics is a rapidly evolving field that studies biological systems and biological data (such as DNAIprotein sequences, macromolecular structures and functional genomics data) using analytic theory and practical tools of computer science, mathematics and statistics. The topics include concepts of molecular

genetics, biological databases, database searching, sequence alignments, phylogenetic trees, structure prediction, and microarray data analysis.

CSC 696 - Independent Research Study1 2(2+0)

The student selects a research topic and conducts a literature review in relation to the topic.

CSC 697 - Independent Research Study2 2(2+0)

The student selects a research topic and conducts a literature review in relation to the topic.

CSC 698 - Advanced topics 1 in Computer Science 3(3+0)

In this course, students are able to study advanced topics in Computer Science. The content and syllabi of this course is designed by a member of staff and approved by the department.

CSC 699 - Advanced topics 2 in Computer Science 3(3+0)

In this course, students are able to study advanced topics in Computer Science. The content and syllabi of this course is designed by a member of staff and approved by the department.

CSC 700 - Thesis.

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