Ph.D. in Computer Engineering Program

College of Computer and Information Sciences — King Saud University

Ph.D. in Computer Engineering

Department of Computer Engineering · Doctoral Program

Jump to Program Info Objectives Admission Degree Requirements Structure Study Plan Courses Course Schedule

Program Information

The Department of Computer Engineering at King Saud University was founded in 1984, starting with nine full-time faculty members. The faculty has grown significantly over the years, engaged in education, research, and working closely with students from throughout the Kingdom of Saudi Arabia and the world. Distinguished faculty members provide professional and consulting services across diverse computer technology areas for governmental, public, and private sectors.

In recent decades, the world has witnessed tremendous developments in computer engineering. The increasing reliance on these technologies has created growing demand for specialized cadre with high expertise in computer engineering to work in teaching and research in universities and research centers.

The Ph.D. program in Computer Engineering is proposed to contribute to providing graduate studies and advanced research in the fields of computer engineering. Our research and teaching cover a broad range of fields including:

Computer Architecture & High-Performance Computing

Cloud Computing & Internet of Everything (IoE)

Robotics & Signal Processing

Computer Networks & Network Security

This will contribute to creating qualified researchers and faculty members in the area of computer engineering. Degree Name: Ph.D. in Computer Engineering.

Educational Objectives

To promote advanced research and scientific publication and to contribute to the future scientific and technical world advancement in computer engineering.

To prepare highly specialized scholars, professionals, and Saudi research personnel that meet the Saudi society's development needs, jobs demand, and support the transfer of advanced information technologies across industry, academic, and scientific sectors.

To create solutions for persistent Computer Engineering problems in public and governmental institutions through a higher level of applied research and technology transfer.

To provide graduate students and Saudi researchers with the skills, methodology, innovation, and scientific approaches necessary for distinguished professionals in Computer Engineering sectors.

Admission Requirements

In addition to the admission requirements enumerated in the Unified Law Organizing Graduate Studies at Saudi Universities, the department has the following additional requirements:

BSc from King Saud University or equivalent in one of the following: Computer Engineering, Computer Science, Electrical Engineering, Software Engineering, Information Technology, or related computing disciplines.

MSc from King Saud University or equivalent in one of the following: Computer Engineering, Computer Science, Electrical Engineering, Software Engineering, Information Technology, or related computing disciplines.

Minimum standardized scores required:

4.0 / 5.0

Minimum GPA
or equivalent

Qiyas Quantitative
(or 144 GRE Quantitative)

TOEFL-IBT
minimum score

Degree Requirements

Successful completion of 27 units of graduate courses in the Ph.D. program.

Pass the Comprehensive Exam (COMP 700).

Publish or obtain acceptance for at least one publication in a specialized refereed venue in computer engineering.

Completion and successful defense of an original thesis (CENX 700 — 1 unit).

Program Structure

General Course
from List (1)

3 units

Core Courses
from List (2)

6 units

Compulsory
Courses

8 units

Elective Courses
from List (3)

9 units

Comprehensive
Exam

0 units

Thesis
(CENX 700)

1 unit

Total Courses: 12 Total Units: 27

Study Plan

Level 1

Course Code	Course Title	Credit Hours	Co-/Pre-Requisites
— —	General Course from List (1)	3	—
CENX 6--	Core Course (1) from List (2)	3	—
CENX 6--	Core Course (2) from List (2)	3	—
Sub Total		9

Level 2

Course Code	Course Title	Credit Hours	Co-/Pre-Requisites
CENX 601	Engineering Stochastic Processes and its Applications	3	—
— —	Elective Course (1) from List (3)	3	—
— —	Elective Course (2) from List (3)	3	—
Sub Total		9

Level 3

Course Code	Course Title	Credit Hours	Co-/Pre-Requisites
CENX 696	Independent Research Study I	2	—
— —	Elective Course (3) from List (3)	3	—
Sub Total		5

Level 4

Course Code	Course Title	Credit Hours	Co-/Pre-Requisites
CENX 697	Independent Research Study II	2	—
Sub Total		2

Level 5

Course Code	Course Title	Credit Hours	Co-/Pre-Requisites
CENX 699	Thesis Proposal Preparation	1	—
Sub Total		1

Level 6

Course Code	Course Title	Credit Hours	Co-/Pre-Requisites
COMP 700	Comprehensive Exam	0	—
CENX 700	Thesis	1	CENX 699 / COMP 700
Total		27 units

Courses

Compulsory Courses

Course Code	Course Title	Credit Hours
CENX 601	Engineering Stochastic Processes and its Applications	3
CENX 696	Independent Research Study I	2
CENX 697	Independent Research Study II	2
COMP 700	Comprehensive Exam	0
CENX 700	Thesis	1

List (1) — General Courses (choose 1)

Course Code	Course Title	Credit Hours
MATH 505	Numerical Linear Algebra	3
MATH 507	Advanced Operations Research	3
STAT 503	Probability and Mathematical Statistics	3

List (2) — Core Courses (choose 2)

Course Code	Course Title	Credit Hours
CENX 628	Advanced Parallel Computing	3
CENX 629	Fault-Tolerant Systems	3
CENX 633	Network Design and Algorithms	3
CENX 635	Telecommunication Network: Protocols and Performance Analysis	3
CENX 645	Speech and Video Signal Processing	3
CENX 647	Pattern Recognition	3

List (3) — Elective Courses (choose 3)

Course Code	Course Title	Credit Hours
CENX 611	Design of CAD Tools	3
CENX 632	Graphs and Network Flows Theory and Applications	3
CENX 634	Personal Communication Systems	3
CENX 636	Optical Networks	3
CENX 637	Sensor Networks	3
CENX 638	Wireless and Multimedia Networks	3
CENX 639	High-Performance Interconnection Networks	3
CENX 651	Nanorobotics	3
CENX 691	Advanced Topics in Computer Engineering	3
CSC 612	Analysis and Design of Algorithms	3
CSC 619	Selected Topics in Computer Security	3
CSC 662	Artificial Intelligence	3
CSC 663	Machine Learning	3

Course Schedule

		First Semester	Second Semester
Required Courses		CENX 601	CENX 601
Elective Courses	Signals & Systems	1 from {CENX 647, CENX 651}	1 from {CENX 645, CENX 651}
	Computer Networks	1 from {CENX 634, CENX 635, CENX 632}	1 from {CENX 633, CENX 637, CENX 638}
	Computer Architecture	CENX 628 *	CENX 628

* Depends on staff availability.

Master of Science in Computer Engineering (Courses option)

Master of Science in Computer Engineering (New)

College of Computer and Information Sciences — King Saud University

Master of Science in Computer Engineering

Department of Computer Engineering · Graduate Program

Jump to: Vision

Graduation Requirements

Program Vision

Regional leadership and excellence in the field of Computer Engineering and the management of related research, in addition to producing graduates who will become pioneers in exploring new challenges in Computer Engineering and related fields.

Program Mission

The Department of Computer Engineering is committed to providing students with a high level of education in Computer Engineering sciences. It aspires to foster creativity and a team-work spirit in a student-centered learning environment. The department also strives to develop innovative research and to participate in leading the Information and Communication Technology (ICT) sector in the Kingdom of Saudi Arabia, in order to facilitate the Kingdom's transformation into a knowledge-based economy.

Program Objectives

Prepare graduates of high quality and expertise in the field of Computer Engineering.

Advance scientific and applied research.

Provide training programs to qualify engineers and practitioners working in the field of Computer Engineering.

Provide consultations and develop suitable solutions.

Program Outcomes

Graduates of the Computer Engineering department will possess computing skills, as well as the ability to:

Apply knowledge of mathematics, science, and engineering.

Design and conduct experiments, as well as analyze and interpret data.

Design systems and their components, or process them to meet desired needs.

Identify, formulate, and solve engineering problems.

Admission Requirements

In addition to the admission requirements stated in the Unified Regulations of Graduate Studies in Saudi universities and the regulatory and executive rules and procedures of graduate studies at King Saud University, the department requires the following:

The applicant must meet the terms stated in the unified regulations of graduate studies in Saudi Universities.

The applicant must meet the terms stated in the unified regulations of graduate studies at King Saud University.

Hold a bachelor's degree with a regular study program from King Saud University or its equivalent in one of the following: Computer Engineering, Computer Science, Electrical Engineering, Software Engineering, Information Technology, or other computing disciplines.

Hold a minimum GPA of 3.5 out of 5 or equivalent in Computer Engineering or Electrical Engineering, or a minimum GPA of 4 out of 5 or equivalent in other disciplines.

A minimum GPA is required as follows:

3.5 / 5

Computer Engineering & Electrical Engineering graduates

4.0 / 5

Graduates from other majors

Minimum standardized test scores required:

144

GRE Quantitative
(or equivalent: 75 Qiyas)

TOEFL-IBT
(450 PBT / 133 CBT)

IELTS

STEP

Graduation Requirements

The student must successfully complete (25) credit hours from the master's program courses.

Successful completion of the master's thesis.

Program Structure

The total number of required credit hours is (25), in addition to (1) credit hour for the thesis, distributed as follows:

Course Type	Number of Courses	Required Credit Hours
Compulsory Courses	6	(13) Credit Hours
Elective Courses	4	(12) Credit Hours
Thesis	1	(1) Credit Hour for the Thesis
Total	11	(25) Credit Hours + (1) Credit Hour for the Thesis

Study Plan

Compulsory — Level 1

Course Code	Course Title	Credit Hours	Prerequisite
CEN 521	Advanced Computer Architecture	3	—
CEN 531	Computer Networks	3	—
Subtotal		6 Credit Hours

Compulsory — Level 2

Course Code	Course Title	Credit Hours	Prerequisite
CEN 543	Digital Signal Processing (1)	3	—
Subtotal		3 Credit Hours

Compulsory — Level 3

Course Code	Course Title	Credit Hours	Prerequisite
CEN 591	Seminar in Computer Engineering	1	—
CEN 592	Independent Study	2	—
Subtotal		3 Credit Hours

Compulsory — Level 4

Course Code	Course Title	Credit Hours	Prerequisite
CEN 596	Thesis Proposal Preparation	1	(12 credit hours)
Subtotal		1 Credit Hour

Compulsory — Level 6 (Thesis)

Course Code	Course Title	Credit Hours	Prerequisite
CEN 600	Thesis	1	CEN 596
Subtotal		1 Credit Hour

Elective Courses — List (1) — The student selects one course of at least 3 credit hours

Course Code	Course Title	Credit Hours	Prerequisite
CEN 570	Simulation and Modeling	3 (3+0)	—
CEN 571	Stochastic Processes	3 (3+0)	—
CEN 573	Algorithms Analysis and Complexity Theory	3 (3+0)	—
CEN 576	Intelligent Systems	3 (3+0)	—
Subtotal (one course)		3 Credit Hours

Elective Courses — List (2) — The student selects three courses of at least 9 credit hours

Course Code	Course Title	Credit Hours	Prerequisite
CEN 524	Advanced Computer Arithmetic	3 (3+0)	CEN 521
CEN 526	Advanced Embedded Systems	3 (3+0)	CEN 521
CEN 527	Parallel Computing	3 (3+0)	CEN 521
CEN 528	Processor Design	3 (3+0)	CEN 521
CEN 532	Mobile Computing and Wireless Networks	3 (3+0)	CEN 531
CEN 533	Performance Analysis of Computer Networks	3 (3+0)	CEN 531
CEN 534	Wireless Sensor Networks	3 (3+0)	CEN 531
CEN 546	Digital Image Processing	3 (3+0)	CEN 543
CEN 549	Digital Speech Processing	3 (3+0)	CEN 543
CEN 552	Mobile Robots	3 (3+0)	CEN 543
CEN 553	Selected Topics in Computer Engineering	3 (3+0)	—
CEN 586	Network Security	3 (3+0)	CEN 531
Subtotal (three courses)		9 Credit Hours

Course Schedule

		First Semester	Second Semester
Compulsory Courses		CEN 543	CEN 543
		CEN 531	CEN 531
		CEN 521	CEN 521
			CEN 591
Elective List (1)		CEN 570	CEN 571
		CEN 573	CEN 576
Elective List (2)	Signals & Systems	CEN 549	CEN 546
		CEN 552
	Computer Networks	CEN 533	CEN 586
		CEN 534 or CEN 553	CEN 532
	Computer Architecture	CEN 524 or CEN 528	CEN 526 or CEN 527

Bachelor of Science in Computer Engineering

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

Program Information

The college of computer and information sciences in King Saud University was founded in 1984. The college was founded with two departments; computer engineering and computer science. Since then the college has expanded and it currently has five departments; information systems, information technology, and software engineering, in addition to the two original departments. The college was borne of the need to have highly qualified computer engineers available. The Department of Computer Engineering aims to graduate engineers specialized in various areas of computer engineering, who are capable of enhancing the Kingdom's fast-paced development.

The B.Sc. Program In Computer Engineering Is Accredited By The Engineering Accreditation Commission (EAC) Of ABET

The graduate performs setting up standards for computer systems, providing technical consultation, as well as supervising installation, configuration, and operation of equipment. In addition, the graduate should be capable to design, develop, manage, and monitor the performance of computer networks. With the Kingdom's entry to the manufacturing era, the graduates will take an essential role in designing computer systems and computer networks. The graduate will design control systems for automated tasks in laboratories and factories.

Program Educational Objectives

The computer engineering program educational objectives are designed to support the university, college, and department mission statements and insure that the program meets ABET criteria.

Graduates of the computer engineering program are prepared to:

Work creatively as proficient ICT professionals within multidisciplinary teams.
Succeed in graduate studies in Computer Engineering and related disciplines.
Ethically lead with innovation contributing to the development of KSA and the region.
Succeed in lifelong learning programs to remain current professionals contributing to the advancement of the global ICT industry.

Student Outcomes

a. An ability to apply knowledge of mathematics, science, and engineering.

b. An ability to design and conduct experiments, as well as to analyze and interpret data.

c. An ability to design a system, component, or process to meet desired needs within realistic constraints such as economic, environmental, social, political, ethical, health and safety, manufacturability, and sustainability.

d. An ability to function on multidisciplinary teams.

e. An ability to identify, formulate, and solve engineering problems.

f. An understanding of professional and ethical responsibility.

g. An ability to communicate effectively.

h. The broad education necessary to understand the impact of engineering solutions in a global, economic, environmental, and societal context.

i. A recognition of the need for, and an ability to engage in life-long learning.

j. Knowledge of contemporary issues.

k. An ability to use the techniques, skills, and modern engineering tools necessary for engineering practice.

Admission

The requirement for the admission of students to the College of Computer and Information Sciences is based on a composite average not less than 75% which is calculated as follows:

25% of General Aptitude Test
25% of Subject Achievement Test
25% of PY GPA
25% of Math Courses in PY (Math 140 and Math 150)

The priority of acceptance for admission is given to those applicants with the highest composite average.

Study Plan

LEVEL ONE
Code	Course Name	Hours	Pre-/Co- requesites
MATH140	Introduction to Mathematics	2
Engl140	English I	8
CI140	Learning & Thinking & Research Skills	3
CHS150	Health and Fitness 2	1
Sub Total		14

LEVEL TWO
Code	Course Name	Hours	Pre-/Co- requesites
ENT101	Entrepreneurship	1
CT140	Computer Skills	3
MC140	Communication Skills	2
MATH150	Differential Calculus	3	MATH140
Engl150	English II	8	Engl140
Sub Total		17

LEVEL THREE
Code	Course Name	Hours	Pre-/Co- requesites
CSC111	Computer Programming I	4	CT140
MATH106	Integral Calculus	3	MATH150
MATH151	Discrete Mathematics	3	MATH150
PHYS103	General Physics I	4
IC101	Introduction o Islamic Culture	2

Sub Total		16

LEVEL FOUR
Code	Course Name	Hours	Pre-/Co- requesites
CSC113	Computer Programming II	4	CSC111
CEN200	Introduction to comptuer Engineering	3	MATH151
CHEM101	General Chemestry I	4
PHYS104	Physics II	4
MATH200	Differential and Integral Calculus	3	MATH106
Sub Total		18

LEVEL FIVE
Code	Course Name	Hours	Pre-/Co- requesites
CSC212	Data Structures	3	CSC113
CEN214	Logic Design I	3	CEN200
CEN215	Logic Design I Lab	1	CEN214
MATH204	Differential Equations	3	MATH200
MATH244	Linear Algebra	3	MATH106
EE201	Fundamentals of Electric Circuits	3	PHYS104
Sub Total		16

LEVEL SIX
Code	Course Name	Hours	Pre-/Co- requesites
CEN313	Logic Design and Hardware Description	3	CEN214
CEN340	Signals and Systems	3	MATH204
CEN343	Introduction to Random Processes	3	MATH204
EE310	Microelectronic Devices and Circuits	3	EE201
EE312	Basic Electronics Lab	1	EE310
IS230	Introduction to Database Systems	3	CSC212
Sub Total		16

LEVEL SEVEN
Code	Course Name	Hours	Pre-/Co- requesites
CEN316	Computer Architecture	3	CEN313
CEN317	Logic Design Lab II	2	CEN313 + CEN215
CEN342	Introduction to Data Transmission	3	CEN340
CEN344	Data Communication Lab	1	CEN342
CEN352	Digital Signal Processing	3	CEN340
CSC227	Operating Systems	3	CEC212
IC102	Islam and Society	2
Sub Total		17

LEVEL EIGHT
Code	Course Name	Hours	Pre-/Co- requesites
CEN415	Introduction to VLSI Design	3	CEN313+ EE310
CEN439	Embedded Systems Design	3	CEN316
CEN444	Computer Networks I	3	CEN342
CEN455	Introduction to Digital Control	3	CEN352
CEN456	Digital Control Lab	1	CEN455
CEC342	Software Engineering	3	CEC212

Sub Total		16

SUMMER INTERNSHIP
Code	Course Name	Hours	Pre-/Co- requesites
CEN999	Practical Training	1	120 credit hours
Sub Total		1

LEVEL NINE
Code	Course Name	Hours	Pre-/Co- requesites
CEN434	Digital Systems Design Lab	2	CEN439
CEN445	Computer Networks II	3	CEN444
CEN447	Computer Networks Lab	2	CEN444
CEN470	Professional Ethics	1	120 credit hours
CEN492	Project I	3	120 credit hours + level 7 is zero level
IC103	Islamic Economic System	2
SWE466	Software Project Management	3	CEC342
Sub Total		16

LEVEL TEN
Code	Course Name	Hours	Pre-/Co- requesites
CEN448	Security and Internet Protocols	3	CEN444
CEN493	Project II	3	CEN492
IC104	Fundamentals of Political System in Islam	2
--	Elective I	3
--	Elective II	3


Sub Total		14

Accepted and graduated students of the department of Computer Engineering

Academic Year		Accepted new Students	Total number of students in all levels	Graduated students
2010-2011	1431-1432	111	264	27
2011-2012	1432-1433	94	288	36
2012-2013	1433-1434	91	322	23
2013-2014	1434-1435	106	369	56
2014-2015	1435-1436	75	392	75

Contact us

College of Computer and Information Sciences — King Saud University

Contact Us

Department of Computer Engineering · King Saud University

Chairman's Office

Chairman

Dr. Ahmad I. Alhammad

+966 11 4678578

Secretary

Office Secretary

+966 11 4676944

Office Line

Department Office

+966 11 4678910

Office Line

Department Office

+966 11 4676990

Mailing Address

College of Computer and Information Sciences
P.O. Box 51178
Riyadh 11543
Kingdom of Saudi Arabia

Vision and Mission

College of Computer and Information Sciences — King Saud University

Vision & Mission

Department of Computer Engineering · King Saud University

Vision

The Department of Computer Engineering will be a regional model of excellence for high standard education and a research-intensive department. Our graduates will become leaders in exploring new challenges in computer engineering and related areas.

Mission

The Department of Computer Engineering is committed to implementing the highest standards of excellence in higher education. It promotes teamwork activities in a student-centered learning environment. It inspires meaningful research, and high professional services to the Kingdom of Saudi Arabia.

Department Objectives

The main objectives of the Computer Engineering Department are:

To prepare graduates with high quality education and superior experience in the field of Computer Engineering.

To develop scientific and applied research that advances the field and serves the community.

To provide training programs for the rehabilitation of engineers and workers in the field of computer engineering.

To provide consultations and to develop appropriate solutions to engineering challenges.

Chairman's Message

College of Computer and Information Sciences — King Saud University

Chairman's Message

Department of Computer Engineering · King Saud University

A Word from the Chairman

In my name and on behalf of my colleagues, the faculty members and staff of the Computer Engineering Department, I warmly welcome you.

The Computer Engineering Department is one of the leading departments within the College of Computer and Information Sciences, contributing to the advancement of education, scientific research, and community service. This department was established to meet the local and global job market demands for distinguished national talents. Since its inception, it has successfully produced graduates who have significantly contributed to the development of various sectors in Saudi Arabia and has earned prestigious academic accreditations from both international and national organizations, such as the National Center for Academic Accreditation and Evaluation (NCAAA) and the Accreditation Board for Engineering and Technology (ABET).

Programs & Commitment

The Computer Engineering Department is committed to achieving the Saudi Vision 2030 through outstanding academic programs aimed at enhancing students' capabilities and technical skills. We regularly update our curricula to align with global technological advancements and job market requirements, empowering our students to lead digital transformation and excel in modern specializations.

Cybersecurity — Preparing graduates to protect critical digital infrastructure in the Kingdom and beyond.

Networking — Building expertise in the design and management of modern computer networks at scale.

Internet of Things (IoT) — Equipping students to drive the next wave of smart, connected systems and devices.

The department currently offers a range of academic programs, including Bachelor's and Master's degrees in Computer Engineering and a Ph.D. in Computer Engineering. Our curriculum focuses on providing a blend of theoretical foundations and practical applications in designing, developing, testing, and maintaining computer systems. We are also keen on fostering collaboration with academic and industrial entities locally and internationally to support the professional development of our students and guide them toward distinguished career paths.

We are delighted to invite you to explore our department's programs and achievements through our website. We also welcome you to reach out with any inquiries or suggestions that may support our educational mission.

Dr. Ahmad I. Alhammad

Chairman, Department of Computer Engineering

King Saud University
College of Computer &
Information Sciences

About the Department of Computer Engineering

The Department of Computer Engineering aims to graduate engineers specialized in various areas of computer engineering, who are capable of enhancing the Kingdom's fast-paced development. The graduate performs setting up standards for computer systems, providing technical consultation, as well as supervising installation, configuration, and operation of equipment. In addition, the graduate should be capable to design, develop, manage, and monitor the performance of computer networks. With the Kingdom's entry to the manufacturing era, the graduates will take an essential role in designing computer systems and computer networks. The graduate will design control systems for automated tasks in laboratories and factories.

Department of Computer Engineering

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

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

Subscribe to

Program Information

Educational Objectives

Admission Requirements

Degree Requirements

Program Structure

Study Plan

Courses

Course Schedule

Program Vision

Program Mission

Program Objectives

Program Outcomes

Admission Requirements

Graduation Requirements

Program Structure

Study Plan

Course Schedule

Resources

Bachelor of Science in Computer Engineering

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

Program Information

Program Educational Objectives

Student Outcomes

Admission

Study Plan

Accepted and graduated students of the department of Computer Engineering

Chairman's Office

Vision

Mission

Department Objectives

A Word from the Chairman

Programs & Commitment

Share This Page