The PhD degree in Information Technology at ISC seeks to provide a balance between the technological, scientific, practical and administrative dimensions, which work on developing and applying information technology, in addition to graduating cadres specialized in information technology who are able to supply the labor market. The program also aims to develop and develop scientific, research and practical skills. For students in the fields of modern modern information technology, such as data science, machine learning, cloud computing, the Internet of things, cybersecurity, and other modern fields, in order to ensure their professional qualification to work in various fields of information technology, whether as researchers, data analysts, designers and developers of computerized smart systems , within a distinguished scientific specialization that combines two fields: information technology and communication. The program also seeks to hone the students’ research and practical skills to enable them to compete in the local and international markets, especially in light of the economies of globalization and the successive global economic changes and developments. Providing companies with qualified human cadres.
PhD of Information Technology
The first stage - Compulsory courses 84 Credits
This course focuses on research methods, research process, use of research tools and technologies, research writing methods and presentation skills for young researchers. This program aims to provide students with extensive information about research methods and concepts (quantitative and qualitative). It is necessary to read the data, analyze it and interpret the results resulting from conducting experiments on this data. The student will be able to form the basic idea of his research and be able to quickly enter and process information.
This course reviews the foundations of database applications in addition to advanced topics in data management and systems, distributed database systems, where the following topics are discussed: data architecture and design, query processing, transaction management, multiple databases, network data management, computer cloud and data management, Oriented databases and advanced systems issues. Some of the research papers published in the database literature will be put up for discussion through holding research seminars with the participation of students.
This course provides an introduction to network security fundamentals, including compliance with process security requirements, threats and vulnerabilities, application, data and device security, access control and identity management, and cryptography. The course covers new topics in network security as well, including psychological techniques for social engineering attacks. Web application attacks, penetration testing, data loss prevention, cloud security, and secure software development
Some research papers published in the cybersecurity literature will be put up for discussion through holding research seminars with the participation of student researchers.
This course covers the modeling and analysis of the performance of communications networks. It also covers tools and network simulation programs. It deals with the design, implementation, auditing and validation of simulation models for analyzing wired and wireless networks, and evaluating and presenting simulation results. Research papers related to this course will be discussed with students in scientific seminars.
Introduction to future Internet-based technologies including Internet of Things (IoT), Industrial Internet of Things (IIoT), Internet of Multimedia (IoMM), Internet of Vehicles (IoV), Internet of Energy (IoE) and Internet of Everything (IoE), and presents Internet of Things platforms and technologies, Including cloud software platforms such as platforms from companies such as Microsoft, Amazon and Oracl, the course talks about communication networks and IoT standards and focuses on the main communication protocols for the Internet of Things, an example of which is the Industrial Internet of Things (IIoT) environment based on the MODBUS industrial protocol / TC, Explaining the applications of the Industrial Internet of Things in the Fourth Industrial Revolution, with examples of future factories and logistics services. The focus will be on Internet of Things applications in home automation, smart city, health care and agriculture. Research papers related to this course will be discussed with students in scientific seminars.
This course provides a comprehensive and advanced knowledge of broadband wireless technology, explains digital modulation and its performance in decay and inter-symbol interference, and discusses anti-fatigue techniques including adaptive modulation, and modern diversity techniques (such as temporal diversity, spatial diversity, and frequency diversity), as well as the techniques of Inter-symbol resistance including stabilizers, multi-carrier modulation (OFDM), and propagation. It discusses techniques for increasing channel capacity and data rates including antenna arrays, MIMO channel modeling, smart antenna technologies, MIMO communication systems, and spatial multiplexing. The course also covers multiuser system design issues such as multiple access and interference management, Frequency reuse in cellular systems, and ad hoc wireless network design. Research papers related to this course will be discussed with students in scientific symposia.
Optional courses 24 Credits
This course introduces the foundations of data communication and follows a bottom-up approach to computer networks. The course introduces advanced topics in data communications and networking through the OSI model and the TCP/IP model. Students are introduced to error recovery algorithms, analysis of error control algorithms, and flow control, and introduces the basics of network routing so that the Focusing on advanced topics including Software Defined Networking (SDN), Network Function Virtualization (NFV), Network Management, and Data Centers, the course concludes with an overview of voice and video protocols, network security, and cloud computing. Research papers related to this course will also be discussed. With students in scientific seminars.
This course aims to understand and build support mechanisms for mobile computing systems including server systems, clients, web systems/databases/files, routing in mobile networks and sensor networks - transport, service management, data management, and security and protection issues in mobile computing data will also be discussed. Presentation and discussion of research papers and articles from recent conferences and journals.
System memory and advanced structures based on pipelin structures, parallel processing, compiler performance optimization, multiprocessor architecture, networking and advanced storage systems, within each topic the focus will be on quantitative evaluation and basic issues such as: correlation between data and control, memory, Reliability, consistency of distributed storage sites.
This course examines advances in computer hardware performance, from sequential processing to today's supercomputers. Modern software methodologies based on shared memory and distributed processing will be discussed, different architectures in parallel processing will be discussed, research papers and articles from recent conferences and journals will be presented and discussed.
The second stage - Practical Training 54 Credits
The student is assigned two hypothetical courses that the college chooses from among the courses that the student has studied at the undergraduate level, and this is considered a practical training for the student to be evaluated for eighteen credit hours. The student must divide each course from twelve to fourteen brief lectures. The student presents each lecture in the form of a written summary of its topic in Word or PDF format, accompanied by a video recording of it in the student’s voice using Power Point, the duration of which is no less than ten minutes and not more than About twenty minutes.
The thrid stage - PhD Thesis 108 Credits
The student must pass the stipulated courses with a score of at least 70%.
● The student submits a request to the administration to register the thesis, along with a proposed topic in one of the subspecialty tracks.
● If the initial approval of the subject title is achieved, the college council will designate a supervisor to guide and follow up the student in preparing the plan.
● The research plan includes the importance of the topic and a critical presentation of previous studies in it, specifically the research problem, then defining the study's curriculum and its main hypotheses or questions that you want to answer, and the division of the study and its sources.
● The student presents his proposed plan in a scientific seminar, discussing the plan as a topic and an approach.
● The student adjusts his plan based on the professors' observations in the seminar if he is asked to amend.
● After the seminar, the plan is presented to the college council to take its decision regarding the registration of the subject.
● In the event of approval, the college council’s decision is presented to the college council to approve the registration, and the registration date is calculated from the date of the college council’s approval.
Discussion and awarding of degrees
● The minimum for preparing the thesis is one year and nine months starting from the date of approval by the College Council to register the topic, and the maximum is four years that can be extended for an exceptional fifth year on the recommendation of the supervisor and approval of the College Council, provided that the total period of student enrollment in the degree does not exceed six years.
● The supervisor submits a semi-annual report that includes what has been accomplished, and what is required in the remaining period.
● After the student completes the thesis and the supervisor reviews it, the supervisor submits to the college administration a report stating its validity for discussion, including an assessment of the student’s performance during the preparation period of the thesis of 140 degrees, with a full copy of the thesis signed by him, and a letter with the names of the discussion and judgment committee proposed by the professors of the specialty, for presentation to the college Council.
● At least fifteen days must pass before the student's discussion from the date of the approval of the discussion committee by the college.
● The validity period of the committee formed to discuss the thesis is six months, which may be renewed for a similar period based on a report from the supervisor and the approval of the College Council.
● Each member of the committee writes a detailed scientific report on the validity of the thesis for discussion, and evaluates the thesis out of 420 degrees, and the average of the three degrees is taken.
The student may not be discussed unless he/she gets at least 70% of the supervisor’s evaluation of his performance and the committee members’ evaluation of the thesis in the individual reports.
● A group report is submitted after the discussion, signed by all members of the committee, in which an evaluation of the thesis discussion is given out of 140 degrees.