قسم الهندسة الإلكترونية

قسم الهندسة الإلكترونية (23)

اهداف

    أهداف برنامج هندسة الميكاترونكس

يهدف برنامج هندسة الميكاترونكس لتخريج مهندسين قادرين على:

1- تزويد الطلاب بأساسيات العلوم والهندسة المتعلقة ببرنامج الميكاترونكس.

2- إكساب الطلاب المهارات العملية الأساسية والمتقدمة المتعلقة بسوق العمل.

3- أملاك الطلاب أدوات بحث فعالة ومتابعة أحدث التقنيات والمعدات التي تمكنهم من مواصلة دراستهم العليا في هندسة الميكاترونكس أو المجالات ذات الصلة.

4- رفد سوق العمل بالمهندسين ذات المهارات الهندسية المرنة التي تتطلبها هندسة الميكاترونكس والمجالات المتعلقة بها.

5- تمكين الطلاب على التواصل والعمل بشكل فعال أخلاقيا ومهنيا في المهام الموكلة إليهم بشكل فردي او ضمن فريق.

 

 

Course Descriptions                                                                                                               وصف المقررات

Department Electronics Engineering القسم: الهندسة الإلكترونية
Program :Master of Electronics Engineering \ Biomedical البرنامج: ماجستير هندسة الكترونية /هندسة طبية حيوية

Compulsory Department Courses Descriptions

MEE01 Advanced Digital Signal Processing                                                                                         3credits

Digital Signal Processing (DSP) is concerned with the representation of signals in digital form, and with the processing of these signals, and the information that they carry. Topics that will be covered in this course include, Discrete signals and systems, Analysis of discrete time LTI System in time domain, Convolution and Correlation, Sampling, Z-transform, Inverse Z-transform and properties, Analysis of LTI System in Z-domain, Frequency-domain characteristics of LTI System, Frequency response of LTI System, Discrete Fourier transforms and fast Fourier transforms, Finite impulse response (FIR) filter design, Infinite impulse response (IIR) filter design and realization of digital filters, Wavelet Bases on Sequences. The teaching strategy includes Lecture and seminars. This course is mandatory.

MEE02 Embedded Systems                                                                                                             3credits

This course supply student with the advanced topic of embedded system. Issues such as embedded processor selection, development tools, firmware architecture, design, and debugging are discussed. The Intel 8051, a very popular microcontroller, is deeply studied. The Interfacing of this processor to external memory, LCD and sensors are argued. As FPGA’s are becoming part of embedded systems, it is essential for an embedded system developer to be familiar with a hardware description language such as VHDL. Therefore, this course introduces VHDL by informally describing the facilities provided by the language, and using examples to illustrate them. This course depends on lectures, examples, and assignments as teaching strategies. In addition, it depends on introduction of microcontroller as prerequisite course.

MEE03 Engineering Research Methodology                                                                                 3credits

يعتبر مقرر طرق البحث من المقررات الهامة والإجبارية لطلاب الدراسات العليا كونه يفتح لهم أفاقا جديدهً من المعارف والطرق والتقنيات المتبعة في البحث العلمي ويقدم لهم طرق البحث بخطوات علمية. ويساعد المقرر طالب الدراسات العليا على معرفة مناهج البحث المختلفة ومكونات وكيفية اعداد أطروحة البحث بالإضافة لاستخدام البرامج الحاسوبية المساعدة في اعداد وتوثيق البحث. المقرر أيضا يمكن الطالب من معرفة معايير كتابة ونقد الأوراق العلمية. من ضمن طرق التدريس للمقرر المحاضرات النظرية والمناقشات والعروض الفردية وتكاليف اعداد بحوث إضافة الى تكاليف نقد وتقييم الأوراق والاطروحات العلمية.

Compulsory Program Courses Descriptions

MBM 001 Modeling and simulation of physiological systems                                                 3credits

This course provides an introduction to computational modeling of biomedical systems, with an emphasis on practical aspects of implementing and solving a broad range of models commonly used in bioengineering. Areas to be covered include Background to modeling in Bioengineering, Modeling electrical stimulation of excitable tissue, Models of diffusion and heat transfer, Biomechanics models, Biofluid mechanics models, Multiphysics modeling.

The lectures, tutorials and computer labs, self-learning, assignments and discussion are the methods used to teach course. The required for this course is basic knowing of Solving systems of ordinary, differential equations, Partial differential equations, Finite-difference and finite-element techniques.

MBM 002 Hospital Engineering and management                                                                         3credits

Healthcare Technology Management aims for optimal acquisition and utilization of healthcare technologies as part of efficient and cost-effective healthcare services. It is equally important to address the physical environment/s within which healthcare is provided, as well as the information systems supporting healthcare delivery. Course topics include: Role of hospital in Health care, Hospital planning and design, Biomedical equipment procurement procedure, Biomedical equipment management, Hospital management, Database Management System, Hospital electrical System and Hospital Gas supply system.

Students will getthe knowledge in Lectures, Group discussion, Self-learning, Projects and assignments with presentations. The course doesn’t require any prerequisites.

MBM 003 Advance medical Imaging                                                                                              3credits

In recent years, research in diagnostic imaging modalities is required to detect early diseases. The primary focus of this course is on the advanced physical imaging principles, instrumentation methods, and imaging algorithms, however the medical interpretation of images and the clinical, research and ethical issues in medical imaging are also included where possible to give students a deeper understanding of the development and applications of medical imaging. This course covers Fourier image representation, sampling, and image filtering with applications in medical imaging. Principles of operation, impulse responses, signal-to-noise, resolution and design tradeoffs in projection radiography, tomography, nuclear medicine, ultrasound, and Magnetic resonance imaging.

This course depends on lectures, examples, and weekly homework. Knowledge of linear signals & systems, convolution, basic probability, ID Fourier Transforms is needed.

MBM006 Medical Informatics                                                                                                          3credits

In recent years, research into medical informatics, which deals with effectively organizing, analyzing, managing, and using information in health care, is increasing. This course will introduce medical Informatics including definitions, theory, technologies, workflow and expectations in the informatics field, tools, and professional organizations. This course offers an overview of the field of biomedical informatics, combining perspectives from medicine, computer science and cognitive/social science for use of computers and information in health care and biomedical sciences, covering specific applications and general methods, current issues, capabilities and limitations of biomedical informatics. Topics will focus on medical databases, Structure and application of HIS and future and directions of informatics. This course depends on lectures, examples, and weekly homework and labs. No prerequisite courses are needed.

MBM008 Biosensors and advance Bioinstrumentation                                                                3credits

This course provides an overview of the principles, technologies, methods and applications of biosensors and bioinstrumentation. This course includes: overview of Biomedical Sensors, sensor application-Measurements of Blood Flow and Volume and Respiratory system, and Biosensors, advanced physiological monitoring and therapeutic devices.  

The lectures and self-learning , research and discussion are the methods used to teach course.

The prerequisite is basic knowing of bioinstrumentation in Bch. Courses

Elective Program Courses Descriptions

MBML01 Telemedicine                                                                                                                3credits

This course provides an overview of telemedicine and the basic knowledge necessary to understand the role of the telemedicine in a healthcare organization. The course covers the telemedicine and various networking-related topics, particularly those applicable to biomedical engineering applications. Topics include: Definitions Of Telemedicine , History and evolution of Telemedicine, Types of Telemedicine, Telemedicine and Health, Telemedical Technology, Telemedical Standards, Mobile Telemedicine and Telemedicine Applications. Students will getthe knowledge in Lectures, Group discussion, Self-learning, Projects and Assignments with presentations. The course doesn’t have any prerequisite.

MBML02 Rehabilitation Engineering                                                                                             3credits

This course provides an overview of the engineering principles underlying the design and utilization of devices for persons with disabilities. Topics include: Introduction to Rehabilitation Engineering, Wheel Chair, Orthotic & Prosthetic Devices, Assistive Technology for Vision & Hearing, Advanced Applications. Students will getthe knowledge in Lectures, Group discussion, Self-learning, Projects and assignments with presentations.

Student should have a basic knowledge of human anatomy and Physiology as prerequisite.

MBML03 Advance Biomechanics                                                                                                     3credits

In recent years, research in movement disorders like CP, parkinsons, stroke and musculoskeletal disease like arthritis, osteoporosis is required to solve engineering solution. The goal of this course is to teach students how to develop dynamic models, analyses, and simulations of the human musculoskeletal system for different types of movement. This course covers biomechanics of walking, biomechanics of the upper extremity, movement dynamics, dynamic simulations of human movement, muscle coordination of movement, joint torque from muscle anatomical classification and function analysis of jumping.

Learning will be achieved through a series of lectures, journal article presentations, laboratory exercises, and a course project. Knowledge of basics mechanics and human anatomy is needed.

MBML04 Artificial Organsand prostheses                                                                                   3credits

This course provides an overview of a sufficient theoretical knowledge of existing artificial organ and prostheses, focusing on their goals, working principles, and limitations

This course including introduction of artificial organs, artificial kidney and artificial liver. The basic physiology artificial organ and prostheses, with emphasis on identifying the bioengineering design requirements for appropriate organ replacement systems, cardiopulmonary bypass systems; hemodialysis systems. Specific engineering/physical chemical concepts in artificial organ and prostheses.

The lectures, tutorials and self-learning, assignment and discussion are the methods used to teach course. The prerequisites for this course is NAN

MBML05 Biomedical Nanotechnology                                                                                           3credits

This course provides key areas in which nanotechnology can benefit in biomedical and nanomaterials applications. This course including: introduction to nanotechnology, wet and dry, and basics of nanofabrication, also introduces applications such as drug delivery, imaging and diagnostics, and tissue regeneration and engineering. Also course covers applications in Polymeric Materials, Nanoparticles, Nanofibers and applications of nanotechnology to electronics. The lectures, tutorials and self-learning , assignment and discussion are the methods used to teach course. The prerequisites for this course is NAN

MBML06 Bioinformatics                                                                                                                 3credits

Bioinformatics is a rapidly evolving and developing field both in terms of breadth of scope of useful applications and in terms of depth of what can be accomplished.

This course is designed to introduce bioinformatics at a level appropriate for biomedical engineering majors having completed courses for chemistry, computer science, and math majors with an interest in biology. This course covers sequence alignment; data mining, Protein Structure Prediction, and microarrays. This course depends on lectures, examples, and weekly homework. By using the well-tested and successful approach of problem-based learning, students will learn through applying the strategies and tools used in bioinformatics to topical problems drawn from ongoing research and applications in a variety of fields. We will assume some background in molecular biology and genetics and no computer science prerequisites for this course.

 

وصف مقررات برنامج ماجستير هندسة الكترونية/ هندسة طبية حيوية PDF

 

اهداف

Master of Electronics Engineering \ Biomedical

 

أهداف البرنامج :

1- اكساب الطلبة المهارات الأكاديمية و البحثية في مجالات الهندسة الطبية الحيوية المختلفة.

2- إعداد كفاءات متخصصة مؤهلة لتلبية احتياجات سوق العمل .

3- الاسهام في دعم جهود البحث العلمي في مجالات الهندسة الطبية الحيوية.

4- تمكين خريجي البرنامج من فهم القضايا الاجتماعية والأخلاقية المتعلقة بالممارسات المهنية الهندسية.

 

Master of Electronics Engineering \ Biomedical

 

Study Plan Framework
Program delivery mode Courses + Thesis
Program duration At least 2 Years and six months
Total credit hours 39 CH
Requirements Credit Hours
1. Department Requirements 9
2. Program Requirements Compulsory 15
Elective 6
3. Thesis 9
Total of Credit Hours 39

 

1. Compulsory Department Courses (9 Credit hours)  مقررات القسم الاجبارية

Course Title Code/ no. No. of units/credit hrs Pre-Requisites
1 Advanced Digital Signal Processing. MEE01 3 BEL003
2 Embedded Systems MEE02 3 BEL010
3 Engineering Research Methodology MEE03 3
Total Credit Hours 9

 

2. Compulsory Program Courses (15 Credit hours) مقررات البرنامج الاجبارية
Course Title Code/ no. No. of units/credit hrs

اسم المقرر

  

1 Modeling and simulation of physiological systems MBM 001 3 نمذجة ومحاكاة الانظمة الفسيولوجية
2 Hospital Engineering and management MBM 002 3 إدارة وهندسة المستشفيات
3 Advance medical Imaging MBM 003 3 طرق متقدمة في التصوير الطبي
4 Medical Informatics MBM 006 3 المعلوماتية الطبية
5 Biosensors and advance Bioinstrumentation MBM 008 3 الحساسات والالكترونيات الحيوية المتقدمة
Total Credit Hours 15

 

3. Elective Program Courses (6 Credit hours) مقررات البرنامج الاختيارية  
Course Title Code/ no. No. of units/credit hrs

اسم المقرر

  

1 Telemedicine MBML 01 3 الطب عن بعد
2 Rehabilitation Engineering MBML02 3 هندسة اعادة التأهيل
3 Advance Biomechanics MBML03 3 الميكانيكا الحيوية المتقدمة
4 Artificial Organsand prostheses MBML04 3 الاطراف والاعضاء الاصطناعية
5 Biomedical Nanotechnology MBML05 3 تقنية النانو الطبية الحيوية
6 Bioinformatics MBML06 3 المعلوماتية الحيوية
Total Credit Hours 6

 

4. Thesis (9 Credit hours) الرسالة
Course Title Code/ no. No. of units/credit hrs

 اسم المقرر

1 Thesis MBM 009 9 الرسالة
Total Credit Hours 9

 

5. Catch-up Courses المقررات الاستدراكية

Course Title

Code/ no.

No. of units/credit hrs

اسم المقرر

  

1 Digital Signal Processing MBML 01 3 معالجة الإشارة الرقمية
2 Microprocessors and Assembly Language MBML02 3 معالجات دقيقة ولغة تجميع
3 Medical Imaging MBML03 3 التصوير الطبي
4 Bioinstrumentation MBML04 3 الكترونيات حيوية
5 Biomechanics MBML05 3 ميكانيكا حيوية
6 Fundamentals in computer programming MBML06 3 أساسيات في برمجة الحاسوب
Total Credit Hours 6

 

 خطة ماجستير هندسة الكترونية/ هندسة طبية حيوية PDF

 

 

 

Course Descriptions                                                                                                               وصف المقررات

القسم: الهندسة الإلكترونية Department: Electronics Engineering
البرنامج: ماجستير هندسة الكترونية/ حاسبات Program:Master of Electronics Engineering \ Computer

Compulsory Department Courses Descriptions

MEE01 Advanced Digital Signal Processing                                                                                  3credits

Digital Signal Processing (DSP) is concerned with the representation of signals in digital form, and with the processing of these signals, and the information that they carry. Topics that will be covered in this course include, Discrete signals and systems, Analysis of discrete time LTI System in time domain, Convolution and Correlation, Sampling, Z-transform, Inverse Z-transform and properties, Analysis of LTI System in Z-domain, Frequency-domain characteristics of LTI System, Frequency response of LTI System, Discrete Fourier transforms and fast Fourier transforms, Finite impulse response (FIR) filter design, Infinite impulse response (IIR) filter design and realization of digital filters, Wavelet Bases on Sequences. The teaching strategy includes Lecture and seminars. This course is mandatory.

MEE02 Embedded Systems                                                                                                             3credits

This course supply student with the advanced topic of embedded system. Issues such as embedded processor selection, development tools, firmware architecture, design, and debugging are discussed. The Intel 8051, a very popular microcontroller, is deeply studied. The Interfacing of this processor to external memory, LCD and sensors are argued. As FPGA’s are becoming part of embedded systems, it is essential for an embedded system developer to be familiar with a hardware description language such as VHDL. Therefore, this course introduces VHDL by informally describing the facilities provided by the language, and using examples to illustrate them. This course depends on lectures, examples, and assignments as teaching strategies. In addition, it depends on introduction of microcontroller as prerequisite course.

MEE03 Engineering Research Methodology                                                                                 3credits

يعتبر مقرر طرق البحث من المقررات الهامة والإجبارية لطلاب الدراسات العليا كونه يفتح لهم أفاقا جديدهً من المعارف والطرق والتقنيات المتبعة في البحث العلمي ويقدم لهم طرق البحث بخطوات علمية. ويساعد المقرر طالب الدراسات العليا على معرفة مناهج البحث المختلفة ومكونات وكيفية اعداد أطروحة البحث بالإضافة لاستخدام البرامج الحاسوبية المساعدة في اعداد وتوثيق البحث. المقرر أيضا يمكن الطالب من معرفة معايير كتابة ونقد الأوراق العلمية. من ضمن طرق التدريس للمقرر المحاضرات النظرية والمناقشات والعروض الفردية وتكاليف اعداد بحوث إضافة الى تكاليف نقد وتقييم الأوراق والاطروحات العلمية.

Compulsory Program Courses Descriptions

MCE01 Advanced Computer Architecture                                                                                  3credits

This course focuses on advanced topics of computer architecture. It covers modern pipelining and multiprocessors architecture. This course provides students with the ability to investigate chip multiprocessor with shared and distributed memory. Also, it develops students’ abilities to distinguish deeply the advanced topics in multiprocessors architecture such as multithreading, clustering, associative and technology trends in this field. This course depends on lectures, examples, and self-learning as teaching strategies. Also, it depends on computer architecture (2) as prerequisite courses.

MCE02 Advanced Computer Networks                                                                                        3credits

This course provides a broad coverage of some new advanced topics in the field of computer networks (TCP/IP, MPLS, Optical networks, wireless networks, mobile networks, VPN networks, Mobile IP, and more advanced topics). The course includes Layered communication architecture such as layers, services, protocols, layer entities, service access points, protocol functions; Advanced Routing algorithms; Advanced Network Congestion Control algorithms; Quality of service; MPLS; Internetworking; Performance Issues; Overview on VPN networks; Overview on Wireless Networks and Mobile Networks: LAN, PAN, Sensor Networks, Ad hoc networks, and Pervasive computing; metro networks and optical networks. The objective of this course is to introduce graduate students to a set of advanced topics in networking and lead them to the understanding of the networking research with a target of accomplishing a research paper of their own.

MCE03 Advanced Digital Image Processing                                                                                  3credits

The course introduces digital image processing techniques and their applications. The course covers the fundamentals of digital image representation, processing, and compression. Emphasizes image Filtering, Restoration, segmentation and enhancement techniques in both spatial and frequency domain. It also introduces color image fundamentals and processing. Furthermore, the course identifies and introduces the important methods, and applications of image compression. The purpose of this course is to introduce the digital image processing techniques and applications. Understanding of this course will be enhanced by examples and assignments using Matlab. It employed in image enhancement fields, biometric and pattern recognition. This course is depends on Linear Algebra and Programming Techniques.

MCE04 Advanced Operating Systems                                                                                            3credits

The course will start with a brief historical perspective of the evolution of operating systems over the last fifty years, and then cover the major components and structure of most operating systems. This discussion will cover the tradeoffs that can be made between performance and functionality during the design and implementation of an operating system. Particular emphasis will be given to these major OS subsystems: process management (processes, threads, CPU scheduling, synchronization, and deadlock), memory management (segmentation, paging, swapping), file systems, disk management and networking/distributed systems. This course depends on lectures, examples, and self-learning as teaching strategies. Also, it depends on operating system as prerequisite courses.

Elective Program Courses Descriptions

MCE05 Advanced Artificial Intelligence Systems                                             3credits

This course introduces the concepts and algorithms that are developed in the fields of artificial intelligence. It will provide students and introduction to soft computing (SC), state space representation; blind and heuristic search, artificial neural networks, fuzzy sets theory, fuzzy logic, probabilistic reasoning, meta-heuristics algorithms, neuro-fuzzy technology, hybrid systems and applications of artificial intelligence systems (three to four real life applications). To achieve these course goals different teaching strategies will be applied such as direct, indirect and interactive and self-learning. The Pre-requisites of this course is Artificial Intelligence.

MCE06 Advanced Computer Networks Security                                                                        3credits

This course aims to provide student with in-depth knowledge of network security and cryptography. Topics covered include a review for principles of classic and current symmetric/asymmetric encryption algorithms, mode of operation, key management, network attacks, authentication protocols, transport-level security, wireless network security, e-mail security, and IP security. Principles of encryption, their properties and applications to security protocols are analyzed. Techniques to ensure information security assurance, networks protection against external attack and internal misuse are dealt with. Current security issues in the emerged networking technologies should be discussed. Thereafter, student should also be able to make technical choices on encryption-based systems and use them to secure transactions over open network, and evaluate the provisions for network security and set up secure-based services. It is assumed that student has a background in the basic calculus and probability, computer security and computer networking.

MCE07 Data Structure and Algorithms                                                                                         3credits

The objective of this course is for students to learn about a wider range of algorithms and data structures. It is an introduction to data structures and algorithms which emphasizes algorithm analysis and the development of efficient code. Important background materials, such as algorithm analysis methods, performance measurement techniques to data structures with an emphasis on linear data and non-linear structures. Topics include performance analysis, asymptotic notation, performance measurement, lists, stacks, queues, graphs and trees. Basics of search and sort algorithms will be covered. Programming will be in C++ or Java language. The Pre-requisites of this course are Programming Language and Discrete Structure. To achieve these course goals different teaching strategies will be applied such as direct, indirect and interactive and self-learning.

MCE08 Advanced Database                                                                                                            3credits

This course aims to equip students with principles and knowledge of advanced topics in database systems management such as database security, transaction management, distributed database, replication and mobile databases, object oriented database, and web database. This course required students to study fundamentals of database as a prerequisite course.

MCE09 Real-Time Systems                                                                                                             3credits

This course covers the principles of real-time and embedded systems inherent in many hardware platforms and applications being developed for engineering and science as well as for ubiquitous systems, including robotics and manufacturing, interactive and multimedia, immersive and omnipresent applications. As part of this course, students will learn about real-time and quality of service system principles, understand real-time operating systems and the resource management and quality of service issues that arise, and construct sample applications on representative platforms. Topics covered include characterizing real-time systems, performance measure, task assigning, scheduling, Fault tolerant scheduling, run-time error handling, run-time support, kernel, real time databases, real-time communication, software development techniques; practical applications. This course depends on lectures, examples, and self-learning as teaching strategies. In addition, it depends on computer architecture, programming languages and operating system as prerequisite courses

MCE10 Fault Tolerant Computing Systems                                                                                  3credits

Fault tolerance is the ability of a system to continue performing its intended function despite of faults. In a broad sense, fault tolerance is associated with reliability, successful operation, and the absence of breakdowns. The goal of fault tolerance is the development of a dependable system. This course introduces the hardware and software methodologies for specifying, modeling and designing fault-tolerant systems supported by case studies of real systems. Topics include Fundamentals of dependability, Dependability evaluation, Hardware redundancy and Software fault tolerance. This course depends on lectures, examples, and self-learning as teaching strategies. In addition, it depends on basic understanding of circuits and digital logic as prerequisite courses.

MCE11 Robotics Design                                                                                                                  3credits

This course is adopted to provide the students with the latest technology in Robot's design and achievement. It consists of practical information about Robots and basic components. It includes, Robot's show, Body of the Robots, Links and joints, Manipulator, Degrees of freedom, Stationary and mobile Robots, Mobile platform, Effectors types, Actuators, Differential steering, Stepper motors, Dynamic and inverse kinematic, Sensors, Active and passive sensors, Sensors class, Odometry, Controllers architecture, Open and closed loop paradigm, Remote control Robots, Software architecture, Robot's programming, Robot's ethics. The teaching strategy includes Lectures and seminars. This course is elective.

MCE12 Computer Vision                                                                                                                3credits

The course introduces the theories and algorithms of computer vision. The course provides an introduction to computer vision, including such topics as feature detection, image segmentation, motion estimation, image mosaics, 3D shape reconstruction, and object recognition. It also Provides a profound understanding of image formation and structure from motion. Furthermore, the course identifies and introduces the important methods, and applications of object detection and recognition. The purpose of this course is to compute properties of the three-dimensional world from digital images. Understanding of this course will be enhanced by examples and assignments using Matlab. It employed in biometric and pattern recognition. This course is depends on Linear Algebra and Digital Image Processing.

MCE13 Sensor Networks                                                                                                                 3credits

Wide range of applications such as disaster management, military and security have fueled the interest in sensor networks during the past few years. Sensors are typically capable of wireless communication and are significantly constrained in the amount of available resources such as energy, storage and computation. Such constraints make the design and operation of sensor networks considerably different from contemporary wireless networks, and necessitate the development of resource conscious protocols and management techniques. This course provides a broad coverage of challenges and latest research results related to the design and management of wireless sensor networks. Covered topics include network architectures, node discovery and localization, deployment strategies, node coverage, routing protocols, medium access arbitration, fault-tolerance, and network security. We will introduce the students to wireless networking research and guide them to investigate novel ideas in the area via semester-long research projects. We will also look at industry trends and discuss some innovative ideas that have recently been developed. Some of the course material will be drawn from research papers, industry white papers and Internet RFCs.

MCE14 Computer Control Systems                                                                                               3credits

This course include analysis and application of computer control systems, Input-output computer ports, Serial and parallel ports, Computer control software, AD/DA interfacing, Stepper motor drive, Sampled Data System, Z-Transforms, Z-plane analysis of digital control systems. Closed Loop feedback Sample Data System, Stability analysis in the Z-Plane, Performance of Sampled Data (Second order system.), Closed Loop System with Digital Computer Compensation, Design of discrete-Time computer Control System via Transform Methods, State Space analyses and design, Also the response and performance of those systems is checked and analyzed on the computer using (MATLAB) soft-ware. The teaching strategy is achieved through lectures and seminars. This subject is elective.

 

وصف مقررات برنامج ماجستير هندسة الكترونية/ حاسبات PDF

 

Course Descriptions                                                                                                               وصف المقررات

القسم: الهندسة الإلكترونية Department: Electronics Engineering
البرنامج: ماجستير هندسة الكترونية/ اتصالات Program:Master of Electronics Engineering \ Communication

Compulsory Department Courses Descriptions

MEE01 Advanced Digital Signal Processing                                                                                         3credits

Digital Signal Processing (DSP) is concerned with the representation of signals in digital form, and with the processing of these signals, and the information that they carry. Topics that will be covered in this course include, Discrete signals and systems, Analysis of discrete time LTI System in time domain, Convolution and Correlation, Sampling, Z-transform, Inverse Z-transform and properties, Analysis of LTI System in Z-domain, Frequency-domain characteristics of LTI System, Frequency response of LTI System, Discrete Fourier transforms and fast Fourier transforms, Finite impulse response (FIR) filter design, Infinite impulse response (IIR) filter design and realization of digital filters, Wavelet Bases on Sequences. The teaching strategy includes Lecture and seminars. This course is mandatory.

MEE02 Embedded Systems                                                                                                             3credits

This course supply student with the advanced topic of embedded system. Issues such as embedded processor selection, development tools, firmware architecture, design, and debugging are discussed. The Intel 8051, a very popular microcontroller, is deeply studied. The Interfacing of this processor to external memory, LCD and sensors are argued. As FPGA’s are becoming part of embedded systems, it is essential for an embedded system developer to be familiar with a hardware description language such as VHDL. Therefore, this course introduces VHDL by informally describing the facilities provided by the language, and using examples to illustrate them. This course depends on lectures, examples, and assignments as teaching strategies. In addition, it depends on introduction of microcontroller as prerequisite course.

MEE03 Engineering Research Methodology                                                                                 3credits

يعتبر مقرر طرق البحث من المقررات الهامة والإجبارية لطلاب الدراسات العليا كونه يفتح لهم أفاقا جديدهً من المعارف والطرق والتقنيات المتبعة في البحث العلمي ويقدم لهم طرق البحث بخطوات علمية. ويساعد المقرر طالب الدراسات العليا على معرفة مناهج البحث المختلفة ومكونات وكيفية اعداد أطروحة البحث بالإضافة لاستخدام البرامج الحاسوبية المساعدة في اعداد وتوثيق البحث. المقرر أيضا يمكن الطالب من معرفة معايير كتابة ونقد الأوراق العلمية. من ضمن طرق التدريس للمقرر المحاضرات النظرية والمناقشات والعروض الفردية وتكاليف اعداد بحوث إضافة الى تكاليف نقد وتقييم الأوراق والاطروحات العلمية.

Compulsory Program Courses Descriptions

MCM01 Advanced Digital Communications                                                                                 3credits

This course introduce advanced topics in digital communications and provide them with up-to-date knowledge and skills required in the design and performance evaluation of wireless digital communication systems. It covers the elements of implement different digital technique as coherent and non-coherent communication, equalization techniques; block coded digital communication, convolutional coded digital communication and OFDM. This course depends on lectures, homework, and assignments and tasks/ research project that includes the most of the course’s subjects pre-requisites    

MCM02 Advanced Communication Systems                                                                                 3credits

This course provides students with depth understanding of the advanced concepts (such as theories, techniques and tools) of today’s communications systems and applications. This course covers the advanced topics of analog and digital communication systems, telephone system, microwave devices & RADAR, fibre optic communication, mobile communication and satellite and radar simulate communication system. This course depends on lectures, weekly homework, and a research project that includes the most of the course's subjects and a prerequisite.      

MCM03 Waves Propagation and Antennas Design                                                                      3credits

This course focuses on advanced topics of electromagnetic waves and antenna design. The course covers the special topics in electromagnetic waves properties as propagations, polarization, power, energy, reflection, refraction, scattering and diffraction. Its also covers the topics in antennas as principles, parameters, path loss, link budget, etc. This course depends on lectures, homework, and a research project that includes the most of the course's subjects and a prerequisite.         

MCM04 Advanced Communication Electronics                                                                           3credits

The course focuses on advanced topics in modern circuits of communication electronics and circuits. It covers generation, transmission, and reception of signal waveforms, as used in analog and digital communication systems, including Network noise and intermodulation distortion, Frequency selective networks, HF amplifiers and AGC, RF Power amplifiers, RF oscillators, Phase locked loop ( PLL ), Frequency synthesizers, Modulators and demodulators. The course depend on lectures, homework, assignments and tasks and project work that includes the most of the course’s subjects pre-requisites

Elective Program Courses Descriptions

MCE03 Advanced Digital Image Processing                                                                                  3credits

The course introduces digital image processing techniques and their applications. The course covers the fundamentals of digital image representation, processing, and compression. Emphasizes image Filtering, Restoration, segmentation and enhancement techniques in both spatial and frequency domain. It also introduces color image fundamentals and processing. Furthermore, the course identifies and introduces the important methods, and applications of image compression. The purpose of this course is to introduce the digital image processing techniques and applications. Understanding of this course will be enhanced by examples and assignments using Matlab. It employed in image enhancement fields, biometric and pattern recognition. This course is depends on Linear Algebra and Programming Techniques.

MCE05 Advanced Artificial Intelligence Systems                                                                         3credits

This course introduces the concepts and algorithms that are developed in the fields of artificial intelligence. It will provide students and introduction to soft computing (SC), state space representation; blind and heuristic search, artificial neural networks, fuzzy sets theory, fuzzy logic, probabilistic reasoning, meta-heuristics algorithms, neuro-fuzzy technology, hybrid systems and applications of artificial intelligence systems (three to four real life applications). To achieve these course goals different teaching strategies will be applied such as direct, indirect and interactive and self-learning. The Pre-requisites of this course is Artificial Intelligence.

MCE06 Advanced Computer Networks Security                                                                        3credits

This course aims to provide student with in-depth knowledge of network security and cryptography. Topics covered include a review for principles of classic and current symmetric/asymmetric encryption algorithms, mode of operation, key management, network attacks, authentication protocols, transport-level security, wireless network security, e-mail security, and IP security. Principles of encryption, their properties and applications to security protocols are analyzed. Techniques to ensure information security assurance, networks protection against external attack and internal misuse are dealt with. Current security issues in the emerged networking technologies should be discussed. Thereafter, student should also be able to make technical choices on encryption-based systems and use them to secure transactions over open network, and evaluate the provisions for network security and set up secure-based services. It is assumed that student has a background in the basic calculus and probability, computer security and computer networking.

MCM05 Modeling and Simulating Communication Systems                                                       3credits

The course provides students with the advanced concepts of analytic and simulation techniques appropriate for the representation, analysis and performance evaluation of communications systems and networks. This course covers introduction to the simulation and modeling methodology; modeling and simulation of 4G-LTE System and Communication Channels; LTI systems and nonlinear systems and Transmitter and Receiver Subsystems. This course depends on lectures, weekly homework, and a research project that includes the most of the course's subjects and a prerequisite.

MCM06 Advanced Data Communications                                                                                    3credits

This course provides students with the advanced concepts of data communication in more way that is comprehensive. This course covers the theory and practice of various analog modulation, digital modulation, line coding, pulse code modulation, switching, multiplexing, error coding, multiple access methods, and routing methods. It also explains the main data and network source and security coding.This course depends on lectures, weekly homework, and a research project that includes the most of the course's subjects and a prerequisite.

MCM07 Mobile Communications and Spread Spectrum                                                             3credits

This course focuses on advanced topics in communication field, and provides students the depth understanding of the 3GPP and Long Term Evolution (LTE) cellular systems architecture and evolution. The course covers the special topics in mobile communication such as the session, mobility, spectrum and radio resources management for LTE systems; Interworking between LTE and 3GPP networks; Spread spectrum and multiple accessing principles: DSSS, FHSS. This course depends on lectures, weekly homework, and a research project that includes the most of the course's subjects and a prerequisite.    

MCM08 Optical Communications Systems                                                                                    3credits

The course aims to introduce the main advanced concepts of optical fiber communication components and systems and design, dimensioning and performance evaluation of optical fibre based communications systems. The course covers the different types of cables, connectors, amplifiers, transmitters, and receivers; the advanced topics of the WDM multichannel systems; optical fibre propagation effects and testing optical fiber and cable by OTDR. This course carries out by lectures, practical part, weekly homework, and a practical project that includes the most of the course's subjects and a prerequisite.

MCM09 Special Topics in Communications                                                                                  3credits

The course provides students with the detailed treatment of proactive, reactive, and hybrid routing protocols in mobile wireless networks. This course covers major aspects of ad hoc and sensor networking, from design through performance issues and challenges associated with implementations of ad hoc and sensor network applications, also includes mobility, disconnections, and battery power. This course carriers out by lectures, practical part, weekly homework, and a practical project that includes the most of the course's subjects and a prerequisite.

MCM10 Satellite and Radar Communication Systems                                                                 3credits

This course focuses on advanced concepts of satellites and Radar communication components and systems. The course covers the advanced topics in satellite communication and Radar such as Elements Of Satellite Communication And its Orbits, Satellite Link Analysis & Design, regenerative satellite networks, satellite navigation and Global Positioning System(GPS), also the radar equations, radar elements & applications, MIMO Radar, Synthetic Aperture Radar (SAR). This course depends on lectures, weakly homework, and a research project that includes the most of the course's subjects.       

MCM11 Engineering Mathematical Applications in Electrical Engineering                              3credits

This course covers special topics in Engineering Mathematic fields, which are Laplace and Fourier transforms and their engineering applications. Focusing on finding these transforms for the different types of functions. These transforms solve different type of equations such as ordinary and partial differential equations, integral equations, difference equations, integral-differential equations, and differential-difference equations. They are also applied to analyze the electrical circuits and in different applications. This course depends on lectures, examples, and self-learning as teaching strategies. In addition, a practical project is necessary to pass this course.

 

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