ABOUT THE PROGRAM

The PhD program in computer science at Solomon International University seeks to achieve the vision of being among the best postgraduate programs offered by local, regional and international universities. This program was designed to give students and researchers the latest scientific and practical knowledge in the field of computer science.
This program is designed to direct researchers to research topics in various fields of computer science. The focus is on identifying, analyzing, modeling and solving problems in computer science, with a special focus on the applied section of computer science. The main objective of the PhD program in Computer Science is to provide high-quality education to students who wish to study at Solomon International University in the main aspects of computer science, giving them the opportunity to become distinguished researchers in this advanced field.


Objectives

  • Enhancing researchers’ in-depth understanding of computer science fields by providing them with scientific and practical expertise.
  • Providing an interactive environment for researchers that motivates and challenges their abilities to study advanced topics in computer science.
  • Motivating students to be able to pursue postgraduate studies, and to be ready to fill computer science 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:
DefinitionPointGrade
Excellent4.00A+
Excellent3.75A
Very Good3.50B+
Very Good3.00B
Good2.50C+
Average2.00C
Pass on probation1.50D+
Pass on probation1.00D
Fail0.00F
  • 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.

Program Structure
9 courses = 36 credit hours
 practical training = 18 credit hours
 Master's thesis = 36 credit hours
Courses
Practical Training
PhD Thesis

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.

Algorithms

Course code: DACS101
Course name: Algorithms
Credit hours: 4.00


This course introduces PhD students to advanced topics in algorithms, where the focus is on computational problems that are considered essential at the theoretical and practical levels, and on developing techniques for the design and accurate analysis of algorithms and data structures to solve such problems. The course discusses other topics such as flow in networks (maximum flow and minimum cost) and topics In data structures (such as Fibonacci sequences, curved trees and dynamic trees), linear programming (structural results and algorithms), dealing with approximation algorithms, dealing with large data sets and spatial calculations.

Operating Systems and Distributed Systems

Course code: DACS102
Course Name: Operating Systems and Distributed Systems
Credit hours: 4.00


Through this course, researchers will study advanced topics in operating systems and review recent developments in this field. In addition, researchers will delve deeper into topics published in classic and modern research papers with the aim of formulating new research questions and evaluating these questions empirically. The course also aims to study topics in distributed systems. And systems based on real time and the theories underlying these systems and their applications. Topics also include wireless sensor networks, resource management in multiprocessor networks, distributed networks, memory management, as well as security and protection.

Computer Networks

Course code: DACS103
Course name: Computer Networks
Credit hours: 4.00


This course introduces postgraduate researchers to advanced topics in the field of computer networks with a focus on basic research that is being conducted to improve the Internet. Topics include broadband Internet dynamics, Internet network protocols and security, network interface design, network switching, wireless networks, traffic measurement. In networking, web server performance and mobile computing, the focus will be on issues related to the performance of computer networks, next-generation Internet protocols and associated applications.

Software Engineering

Course code: DACS104
Course name: Software Engineering
Credit hours: 4.00


This course discusses modern topics in the field of software engineering and includes new methods, models and theories in software engineering, such as structures and patterns used in building modern software, multimedia software, and software based on the method of the cognitive approach. It will also discuss the applications of agile software and a number of case studies. Some of the research papers published in the software engineering literature will be presented for discussion through holding research seminars with the participation of students / or hosting specialized visitors in this field.

Databases

Course code: DACS106
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

Mobile Computing

Course code: DACS150
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: DACS151
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: DACS152
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.

Faculty of Applied Sciences

Businessman working on laptop in office, double exposure, light effect

Degree: PhD Degree

Program code: PhD10AS

Study method: Distance Learning

Credit hour: 144

How long it takes: 
Full time: 3 years
Part time: 6 years
Limit time: 13 years

Welcome to Faculty of Applied Sciences