Ph.D. in Computer Engineering

Engineering Postgraduate Studies |
English

Program Description

The Computer Engineering Department offers Doctor of Philosophy Degree (PhD) in computer engineering, providing a research-oriented education in preparation for a research, industrial or entrepreneurial career. The Ph.D. degree program is designed so that it offers students the theoretical, practical, and professional knowledge that will enable them to pursue discovery of new knowledge. In addition, the Ph.D. degree program is designed so that it allows students to conduct visible high-quality research that will advance the state of knowledge; and serves to train, motivate, and inspire our graduates to become leaders in their fields. The Doctor of Philosophy in Computer Engineering offers students an opportunity for study in a broad range of areas in computer engineering. The Doctor of Philosophy in Computer Engineering offers students interdisciplinary research opportunities in areas related to the college of Engineering's strategic directions in health care and medicine, security, energy and natural resources. The objective of the Computer Engineering Ph.D. program is to educate highly qualified researchers required for the expansion of fundamental knowledge and technological innovation through research and development , as well as the needs of institutions of higher learning.Students pursue theoretical and empirical studies in a topic area determined by their interests, faculty research areas, and departmental research facilities. External collaborations with industry and government laboratories are encouraged.

Learning Outcomes

By the time a student completes all requirements of the program, the student will be able to systematically review, analyze, assimilate and interpret the body of scientific literature and innovations in their discipline area. Apply and validate innovations and discoveries in the lab or real world settings in more efficient and effective ways. Produce high quality research. Disseminate effectively the research output in reputable international journals, conferences, patents, research proposals and other scientific venues. Solve real-world problems by integrating knowledge gained in courses and through independent study.

Markets and Career

The program is designed to develop outstanding scholars for careers in research and teaching at leading academic institutions throughout the world. It provides post-master’s applicants the opportunity to study in a broad range of areas, many of which overlap with other disciplines within the college and AAST.

Admission Requirements

The applicant must hold a M.Sc. degree in an engineering discipline from a university accredited from the Supreme Council of Egyptian Universities. The applicant must pass an interview held by the department.

Tests & Prerequisites

Data will be available soon!

Cooperation

Data will be available soon!

Accreditation

Supreme Council of Egyptian Universities (SCU)

Brief

The student must attend and pass 6 courses (18 credit-hours) from the Ph.D. courses (level CC8xx) consisting of 2 compulsory courses and 4 elective courses (Maximum two courses of the electives can be chosen from CC7xx level given that they were not previously studied and the rest from CC8xx level). This is in addition to a thesis (30 credit-hours)..

Term 1

Code	Title	Prequisites
CC 805	Advanced Optimization Techniques	None
CC 806	Advanced Systems Engineering and Development	None
CC 807	Research Methodology	None

Term 2

Code	Title	Prequisites
CC XXX	Elective Courses	None

Term 3

Code	Title	Prequisites
CC 801	PhD`s Research Thesis (Part 1)	None

Term 4

Code	Title	Prequisites
CC 802	PhD`s Research Thesis (Part 2)	None

Term 5

Code	Title	Prequisites
CC 803	PhD`s Research Thesis (Part 3)	None

Elective Courses CC7xx Courses

Code	Title
CC 727	Application-Specific Architectures
CC 729	Computer Design and Performance Evaluation
CC 732	CAD for Computer Communications Networks
CC 733	Analysis and Design of Computer Networks
CC 737	Mobile, Wireless and Ad-Hoc Networks
CC 742	Real-Time Systems
CC 746	Multimedia Engineering
CC 743	Data Compression and Image Processing
CC 753	Advanced Topics in Artificial Intelligence
CC 755	Distributed and Parallel Systems
CC 756	DSP Hardware and Software System Design
CC 712	Advanced Database Systems
CC 757	Modeling and Simulation
CC 715	Neural Networks Systems
CC721	Advanced Computer Architecture
CC 722	Advanced Digital Systems
CC 725	VLSI System Design

Elective Courses CC8xx Courses

Code	Title
CC 823	Advanced Embedded Systems
CC 856	Advanced Topics in Digital Signal Processing
CC 825	VLSI Engineering
CC 857	Natural Language Processing
CC 826	Advanced Distributed Systems
CC 859	Directed Studies in Robotic Systems
CC 832	Cloud Computing and Internet of Things (IoT)
CC 833	Computer Network Architectures and Protocols
CC 834	Advanced Topics in Network Security
CC 835	Wireless Sensor Networks
CC 841	Computer Graphics and Visualization
CC 842	Advanced Operating Systems
CC 843	Game Engineering
CC 844	Biomedical Imaging and Image Analysis
CC 812	Parallel and Distributed Data Bases
CC 845	Bioinformatics
CC 813	Advanced Software Engineering Methodologies
CC 846	Virtual Reality
CC 814	Big Data and Data Analytics
CC 852	Advanced Data Mining Techniques
CC 817	Mobile Systems and Applications
CC 853	Distributed Intelligent Systems
CC 821	High Performance Computing
CC 854	Advanced Topics in Machine Learning

Degree Doctorate
Area of study: Science and Engineering
Duration: 6 Terms
Credit hours: 48.00 hrs

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