Sorry, you need to enable JavaScript to visit this website.

Course Catalog

CEN200
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
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
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
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 topics are introduced.
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)
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.
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)
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.
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

PHD Program

PHD Program

Program Info   |   Objectives   |   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:

  1. 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;
  2. 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. 
  3. 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;
  4. To provide graduate students and Saudis researchers with skills, means, methodology, innovation and scientific approaches necessary for distinguished professionals in IT sectors.

Admission:

  1. 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.”
  2. 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.
  3. 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:

  1. 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.
  2. 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
  3. Completion and successful defense of an original thesis.
  4. To publish or obtain an acceptance for at least one publication in a specialized referred venue according to student’s track.

Program Structure:

Course NumberNumber and Type of CoursesCredit
hours
--- ---One general course (list 1-a)3
--- ---2 common courses (list 1-b) 6
IS 6--3 compulsory courses in student’s track7
IS 6--3 elective courses in student’s track9
IS 700Thesis in student’s track-
  25

Study Paln:

Regular Master (Non Thesis)

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:

  1. Deliver a solid curriculum in information Systems, which conforms to guidelines laid down by the Deanship of Graduate Studies at King Saud University.
  2. Prepare qualified students for further higher education opportunities.
  3. Prepare students to conducte applied research that has direct impact on the concerns of the local community.
  4. Supply local industries and educational systems with a qualified IT workforce.
  5. 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

  1. 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."
  2. Submit an English language test result.

Regular Master (Thesis)

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

  1. Deliver a solid curriculum in information Systems, which conforms to guidelines laid down by the Deanship of Graduate Studies at King Saud University.
  2. Prepare qualified students for further higher education opportunities.
  3. Prepare students to conducte applied research that has direct impact on the concerns of the local community.
  4. Supply local industries and educational systems with a qualified IT workforce.
  5. 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

  1. 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.
  2.  A score of at least 70 in General Aptitude Test (Quiantitative Section) or at least 144 in the GRE-General test (Quiantitative Section).
  3. A score of at least 4 in the IELTES_Academic test or equivalent.

BSc Degree

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:

  1. Engage in lifelong learning for continued professional excellence.
  2. Achieve higher positions in the job market and/or complete graduate studies.
  3. 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:

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

 

Study Plan

 
 
 

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:

  1. Contribute significantly to research and discovery of new knowledge and methods in Information Systems.
  2. Provide graduate and undergraduate students with strong and current conceptual foundations (theory and application) in the area of information systems.
  3. Enable students with the necessary tools and skills to effectively serve the IT industry and community needs upon graduation.
  4. Keep faculty current by providing opportunities for professional development.
  5. Provide IT consultations and community services to those in need of such services.
  6. Encourage innovative ideas and projects by both department faculty and students.
  7. 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.

Subscribe to