Academic Track Structure 9 courses = 36 credit hours
practical training = 18 credit hours
Master's thesis = 36 credit hours
ABOUT THE ACADEMIC TRACK
The PhD of Information Technology at Postgraduate Program in Business Administration seeks to provide a balance between the technological, scientific, practical and administrative dimensions, which work to develop and apply information technology, in addition to graduating cadres specialized in information technology who are able to supply the labor market. The Academic Track also aims to develop scientific, research and practical skills. For students in modern information technology fields, such as data science, machine learning, cloud computing, the Internet of Things, cybersecurity, and other modern fields, ensuring their professional qualification to work in various fields of information technology, whether as researchers, data analysts, or designers and developers of computerized smart systems. This is within a distinct scientific discipline that combines two areas: information technology and communications. The Academic Track 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 resources.
Objectives
- Enhancing researchers’ in-depth understanding of information technology fields by providing them with scientific and practical expertise.
- Providing an interactive environment for researchers that stimulates and challenges their abilities to study advanced topics in information technology.
- Motivating students to be able to pursue postgraduate studies, and to be ready to fill information technology teaching positions in higher education institutions.
- Build strong relationships with local, regional and international academic institutions as well as with industry.
The First Stage
- The student studies nine courses, distributed as follows:
- √ Six compulsory courses.
- √Three elective courses from among the courses offered by the faculty for Ph.D. students.
- The study is conducted through research seminars in each course, and the research seminar relies on multiple references and is in accordance with the scientific research methodology and standards.
- The study of each of the eight courses takes four credit hours for a minimum of four weeks, and it may be more than that according to the abilities of each student, after which the student’s competency and knowledge test is held in the course he finished, then he starts in another course in the same way, and so on.
- Courses studied in the first year, the student has the right to extend the study for a period not exceeding a second year.
- If a specialization track is chosen within the general program, elective courses will have to be studied from the courses designated for the chosen specialization.
The Second Stage
● The student is assigned a virtual two course that the faculty chooses from among the courses that the student studied at the bachelor’s level. This is a practical training for the student, with ten credit hours. The student must divide this course into twelve to fourteen abbreviated lectures. The student presents each lecture in the form of a written summary of its topic in Word format, accompanied by a video recording of it in the student’s voice using the Power Point program. Its duration is not less than ten minutes and not more than twenty minutes.
The Thrid Stage
Requirements for registering a thesis topic for a Ph. D. degree in Applied Sciences
- Requirements for registering a thesis topic for a Ph.d degree in Applied Sciences The student must pass the prescribed academic courses with at least 70%.
- The student obtains a TOEFL certificate with a score of at least 450, or its equivalent, or obtains a corresponding certificate in the French language, with the exception of those who obtained a first university degree in one of the two languages, or in one of the two languages.
- The student submits a request to the university administration to register a Ph. D. thesis with a suggested topic in one of the sub-specialized tracks.
- If the initial approval of the subject title is achieved, the Faculty Council shall specify a supervisor to guide the student and follow him up in preparing the plan.
- The research plan includes the importance of the subject and a critical presentation of the previous studies in it, and a specification of the research problem, then defining the methodology of the study and its main hypotheses or the 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. The plan discusses a topic and methodology.
- The student amends his plan based on the notes of the professors in the seminar if he is asked to amend it.
- The plan is presented after the seminar to the Faculty Council to take its decision regarding the registration of the subject.
- In the event of approval, the decision of the Faculty Council is presented to the University Council to approve the registration, and the date of registration is calculated from the date of approval by the University Council.
Jury discussion and degree awarding
- The minimum period for preparing a Ph. D. thesis is 16 months, starting from the date of approval of the University Council to register the subject, and the maximum is 7 years, which can be extended for a third exceptional year upon the recommendation of the supervisor and The approval of the Faculty Council, provided that the total period of the student’s enrollment in the degree does not exceed four 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 university administration a report stating that it is valid for discussion, including an evaluation of the student’s performance during the thesis preparation period of 140 degrees, along with submission a full A copy of the thesis signed by him, and a letter with the names of the jury proposed by the professors of the discipline, for presentation to the council the faculty.
- It is required that before the student’s discussion, at least fifteen days have passed from the date of approval of the jury committee from the faculty.
- The jury 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 Faculty Council.
- The period of validity of the committee formed to discuss thesis is six months. It may be renewed for a similar period based on a report from the supervisor and the approval of the Faculty Council.
- Each member of the jury writes a detailed scientific report on the validity of the thesis for discussion, and evaluates the thesis out of 100 grade, and the average of the three degrees is taken.
- The student may not be discussed unless he obtains at least 70% of the supervisor’s evaluation of his performance and the jury members’ evaluation of the thesis in the individual reports.
- Submit a post-dissertation group report signed by all members of the jury evaluating the thesis discussion out of 100.
- The thesis is approved after public discussion by the jury with one of the grades shown in the following table:
Definition Point Grade Excellent 4.00 A+ Excellent 3.75 A Very Good 3.50 B+ Very Good 3.00 B Good 2.50 C+ Average 2.00 C Pass on probation 1.50 D+ Pass on probation 1.00 D Fail 0.00 F
- The following grades are not taken into account for the semester or cumulative GPA.
Thesis or project in progress : DP Incomplete : I In progress : IP Registration has been suspended : L The grade has not been decided : NGR Did not take the final exam. : NP Transferred course. : T Withdraw from the course. : W The course covers two semesters, the degree is given at the end of the spring or summer semester. : YR There are no credit hours. : NC One credit hour taken as a private student. The credit hours and the degree do not count towards the degree : ND Re-submitted course, only the last grade is used in calculating the GPA. : R Credit taken as a special student. Credit hours and grade counted towards a degree. : S Credits
Before the 2016-2017 fall semester 1 credit point is equivalent to 1 semester lecture hour. In the 2016 – 2017 fall semester the University introduced the ECTS – European Credit Transfer System.Academic Calendar
International Suleiman University calendar is based on the semester system. Each semester has a duration of 15 weeks including the week of the final exam. The summer semester is 10 weeks long, including the final exam.
Core Courses for General Track
Scientific Research Methodology in Applied Sciences
Course code: DAS101
Course name: Scientific Research Methodology in Applied Sciences
Credit hours: 4.00
This course focuses on research methods, the research process and the use of research tools and technologies, research writing methods and presentation skills for young researchers. This program aims to provide students with extensive information on research methods and concepts (quantitative and qualitative). necessary to read and analyze the data and interpret the results resulting from conducting experiments on this data, and the student will be able to form the basic idea of his research and be able to quickly enter and process information.
Computer Communications and Networks
Course code: DAIT101
Course name: Computer Communications and Networks
Credit hours: 4.00
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 it introduces the basics of network routing so that Emphasis 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.
Advanced Wireless Communications
Course code: DAIT102
Course Name: Advanced Wireless Communications
Credit hours: 4.00
This course provides a comprehensive and advanced knowledge of broadband wireless communication technology. It explains digital modulation and its performance in decay and symbol interference. It discusses anti-fading techniques including adaptive modulation, and modern diversity techniques (such as temporal diversity, spatial diversity, and frequency diversity). It also discusses techniques Intersymbol interference resistance including balancers, OFDM, and propagation. It discusses techniques for increasing channel capacity and data rates including antenna arrays, channel modeling for multiple antenna systems (MIMO), smart antenna technologies, MIMO communication systems, and spatial multiplexing. The course also covers multi-user system design issues such as multiple access and interference management, Frequency reuse in cellular systems, and the design of the dedicated wireless network. Research papers related to this course will also be discussed with students in scientific seminars.
Internet of Things Technology
Course code: DAIT103
Course name: Internet of Things Technology
Credit hours: 4.00
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 introduces IoT platforms and technologies, Including cloud software platforms such as those from companies such as Microsoft, Amazon and Oracl, the course talks about communication networks and IoT standards and focuses on the main communication protocols of the Internet of Things, an example 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 being provided. The focus will also be on applications of the Internet of Things in home automation, smart city, health care and agriculture. Research papers related to this course will also be discussed with students in scientific seminars.
Network Simulation, Modeling and Analysis
Course code: DAIT104
Course name: Network Simulation, Modeling and Analysis
Credit hours: 4.00
This course covers the modeling and analysis of the performance of communication networks. It also covers the 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 also be discussed with students in scientific seminars.
Databases
Course code: DAIT106
Course name: Databases
Credit hours: 4.00
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, internet 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 presented for discussion through holding research seminars with the participation of students.
Artificial Intelligence
Course code: DACS107
Course name: Artificial Intelligence
Credit hours: 4.00
This course covers advanced topics in artificial intelligence such as pattern recognition – neural networks – expert systems and systems based on fuzzy logic – advanced computing – learning theory and programming based on the use of logic – reasoning based on probability theory and inductive reasoning – decision making in the absence of uncertainty – the use of intelligent brokers and data theory. Some of the research papers published in the literature on artificial intelligence will be presented for discussion through holding research seminars with the participation of research students.
Elective Courses for General Track
Cyber Security
Course code: DAIT150
Course name: Cyber Security
Credit hours: 4.00
This course provides an introduction to the basics of network security, including compliance with operational security requirements, threats and vulnerabilities, application, data and device security, access control and identity management, and cryptography. The course also covers new topics in network security, including psychological methods of social engineering attacks. Web Application Attacks, Penetration Testing, Data Loss Prevention, Cloud Computing Security, and Developing Secure Software Applications
Some of the research papers published in the cybersecurity literature will be presented for discussion through holding research seminars with the participation of student researchers.
Mobile Computing
Course code: DAIT151
Course name: Mobile Computing
Credit hours: 4.00
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 be discussed as well. Presentation and discussion of research papers and articles from recent conferences and journals.
Computer Architecture
Course code: DAIT152
Course name: Computer Architecture
Credit hours: 4.00
System memory and advanced pipelin-based architectures, parallel processing, compiler performance optimization, multiprocessor-based architectures, interconnection networks and advanced storage systems. Reliability and consistency of distributed storage locations.
Parallel Processing
Course code: DAIT153
Course Name: Parallel Processing
Credit hours: 4.00
This course examines advances in computer performance from sequential processing to today’s supercomputers. Modern software methodologies based on shared memory and distributed processing will be discussed, different structures in the field of parallel processing will be discussed, research papers and articles from recent conferences and journals will be presented and discussed.
Degree: PhD DegreeTrack code: PhD102ASStudy method: Distance LearningCredit hour: 144How long it takes: Full time: 3 years Part time: 6 years Limit time: 13 years