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Science - Computer-Science

  • Degree: PhD
  • Campus: Debbieh
  • Faculty: Science
  • Department: Mathematics and Computer Science

Program Description

To obtain PhD degree in Computer Science, the student should successfully complete a total of 40 credit hours; including 18 credit hours of course work with a CGPA of no less than 3.0 and successfully defend the dissertation (22 credit hours) in no less than three years. Moreover, the student has to pass a comprehensive exam after passing at least 15 credit hours of courses before registration of his/her dissertation.


Chairperson: Prof. Mohammad N. Abdulrahim

Professors: Prof. Ali Yassine El-Zaart, Prof. Husein Zouheir el Ghor, Prof. Toufic Anis El Arwadi

Associate Professors: Dr. Noura Mohammad Yassin, Dr. Abdullah al-Chakik, Dr. Maher Jneid

Assistant Professors: Dr. May AbdelHafiz Itani, Dr. Lama Ahmad Affara, Dr. Julie Imad Bou Daher, Dr. Mahmoud Ahmad Al Skafi, Dr. Layal Imad Abou Daher, Dr. Bilal Ezzedine Nakhal, Dr. Dr. Majdi Hamza Awad, Dr. Mohammad Ahmad Daher, Dr. Nader Yasser Bakir, Dr. Rabih Kamal Damaj

The program strives to enable students to:

  1. Have depth of knowledge in computer science so that they are recognized as experts in that field;
  2. Have the ability to formulate and execute a research plan, including generating and analyzing research results;
  3. Are able to communicate effectively through oral presentations and publications;
  4. Pursue professional development to meet the challenging demands and increasing responsibilities of a successful career learning throughout their careers.

Outcome (a): An ability to apply knowledge of computing and mathematics appropriate to the discipline

Outcome (b): An ability to analyze a problem, and identify and define the computing requirements appropriate to its solution

Outcome (c): An ability to design, implement, and evaluate a computer-based system, process, component, or program to meet desired needs

Outcome (d): An ability to function effectively on teams to accomplish a common goal

Outcome(e): An understanding of professional, ethical, legal, security and social issues and responsibilities

Outcome(f): An ability to communicate effectively with a range of audiences

Outcome(g): An ability to analyze the local and global impact of computing on individuals, organizations, and society

Outcome (h): Recognition of the need for and an ability to engage in continuing professional development

Outcome (i): An ability to use current techniques, skills, and tools necessary for computing practice.

Outcome (j): An ability to apply mathematical foundations, algorithmic principles, and computer science theory in the modeling and design of computer-based systems in a way that demonstrates comprehension of the tradeoffs involved in design choices.

Outcome (k): An ability to apply design and development principles in the construction of software systems of varying complexity. 

To obtain PhD Degree in Computer Science, The student should successfully complete a total of 40 credit hours; including 18 credit hours of course work with a CGPA of no less than 3.0 and successfully defend the dissertation (22 credit hours) in no less than three years. Student has to pass a comprehensive exam after passing at least 15 credit hours of courses before registration of his/her dissertation.
  •  Professional Systems analysts
  • Senior positions as computer programmers & testers
  • Academic positions in universities
  • Computer research and development
  • Big businesses and management positions
  • Disciplines in which the graduate student could earn the MS or Ph.D. degree might include (but not limited to):

Parallel Processing

Cloud Computing

Machine Learning

Artificial Intelligence

Image Processing

Data Mining

Database

Software Engineering

Cybersecurity

Program Requirements Credits
Courses 18
Dissertation22
Total 40

To provide state-of-the-art computer hardware and software for high-quality research, training, and services in sciences for the benefit of the students.

To be the leading student for research, training, and expertise in sciences and technologies.

Lab name Instrument Name Quantity Date Company name
Computational
Research Lab
HP EliteDesk 800 G2 Tower Business 7 31-12-2016 CIS
HP Z640 Workstation 1 2016
HP Z840 Workstation 2 2017 CIS


Study Plan:

Elective Courses (EC)

Course Code Course Title Credits Hours Distribution Course Type
CMPS713 Advanced Digital Signal Processing 3 (3crs.: 3lec.) EC
CMPS714 Quantum Circuits And Algorithms 3 (3crs.: 3lec.) EC
CMPS715 Emerging Topics In AI 3 (3crs.: 3lec.) EC
CMPS716 Advanced Topics In Knowledge Representation And Non-Monotonic Reasoning 3 (3crs.: 3lec.) EC
CMPS717 Database Bioinformatics 3 (3crs.: 3lec.) EC
CMPS718 Data Mining And Knowledge Discovery 3 (3crs.: 3lec.) EC
CMPS719 Contemporary Computer Architectures 3 (3crs.: 3lec.) EC
CMPS720 Introduction To Computational Linguistics 3 (3crs.: 3lec.) EC
CMPS721 Computer Systems Performance Evaluation 3 (3crs.: 3lec.) EC
CMPS722 Machine Intelligence And Heuristic Programming 3 (3crs.: 3lec.) EC
CMPS723 Topics In Software Engineering 3 (3crs.: 3lec.) EC
CMPS724 Advanced Topics In Image Processing And Pattern Recognition 3 (3crs.: 3lec.) EC
CMPS725 Advanced Topics In Computer Vision 3 (3crs.: 3lec.) EC
CMPS726 Advanced Topics In Computer Science 3 (3crs.: 3lec.) EC
CMPS727 Research Seminar 3 (3crs.: 3lec.) EC

Major Core (MJC)

Course Code Course Title Credits Hours Distribution Course Type
CMPS790 Dissertation 22 (22 Crs.) MJC