Faculty Mission
The faculty mission aims to sustain excellence in the creation and dissemination of knowledge by: 1. Teaching and Research in basic and applied sciences 2. Scholarly publication in basic and applied sciences 3. Centrality of the Faculty within the University will be strengthened by excellence of our academic programs and our strategic collaborations with all faculties across the University.
Objectives
A few years after graduation, graduates of the computer science program will:
1) Have established a broad knowledge of computer science and mathematics to design innovative computer-related solutions for real world problems.
2) Have demonstrated effective teamwork, oral and written communication skills as well as collaborative skills and have contributed to society by behaving ethically and responsibly.
3) Be successfully employed or accepted into a graduate program, and demonstrate professional development and lifelong learning throughout their careers
Student Outcomes
Our CS program student outcomes are consistent with the ABET Criterion for Computer Science programs. The program enables students to achieve, by the time of graduation:
Outcome (1): Analyze a complex computing problem and to apply principles of computing and other relevant disciplines to identify solutions.
Outcome (2): Design, implement, and evaluate a computing-based solution to meet a given set of computing requirements in the context of the program’s discipline.
Outcome (3): Communicate effectively in a variety of professional contexts.
Outcome (4): Recognize professional responsibilities and make informed judgments in computing practice, taking into account legal, ethical, diversity, equity, inclusion, and accessibility principles consistent with the mission of the institution.
Outcome (5): Function effectively as a member or leader of a team engaged in activities appropriate to the program’s discipline.
Outcome (6): Apply computer science theory and software development fundamentals to produce computing-based solutions
Accreditation
The Computer Science Program (Beirut, Debbieh, Tripoli campus) in the Faculty of Science is accredited by the Computing Accreditation Commission (CAC) of ABET, which is the board assigned for accrediting computing programs in the United States of America and internationally.
Career Opportunities
The rapid development in the world of computer, including the introduction of new applications and the use of computer technologies in all domains of public and private organizations, academics, industry and research has led to more job vacancies for computer scientists. In particular, they may work as:
System Programmer, System Analyst, System Administrator, Internet Applications Programmer, User Interface Designer, Database Analyst, Database Administrator, Network Administrator, Computer Game Designer/Programmer, Computer Science Researcher and Computer Science Instructor.
Chairperson: Prof. Mohammad N. Abdulrahim
Professors: Prof. Ali Yassine El-Zaart, Prof. Toufic Anis El Arwadi
Associate Professors: Dr. Noura Mohammad Yassin, Dr. Abdullah al-Chakik, Dr. Maher Jneid, Dr. May AbdelHafiz Itani
Assistant Professors: Dr. Lama Ahmad Affara, Dr. Julie Imad Bou Daher, Dr. Mahmoud Ahmad Al Skafi, Dr. Layal Imad Abou Daher, Dr. Bilal Ezzedine Nakhal, Dr. Mohammad Al Saleh, Dr. Nader Yasser Bakir
The mission of the Computer Science program is to produce highly qualified professionals in computer science that are committed to lifelong learning and make positive contributions to society. This will lead to achieving the national development goals through fostering an academic environment ideal for knowledge development, research, and innovation in the field of Computer science.
To obtain the Bachelor Degree in Computer Science, students must successfully complete a total of 100 credit hours, where the standard duration of study is 6 semesters. There is one general semester of study for the students of the Computer Science Program.
The rapid development in the world of computer, including the introduction of new applications and the use of computer technologies in all domains of public and private organizations, academics, industry and research has led to more job vacancies for computer scientists. In particular, they may work as: System Programmer, System Analyst, System Administrator, Internet Applications Programmer, User Interface Designer, Database Analyst, Database Administrator, Network Administrator, Computer Game Designer/Programmer, Computer Science Researcher and Computer Science Instructor.
The Software Development track: creating and design pioneering applications and systems, shaping the digital future.
The Cybersecurity track: safeguarding critical information and system infrastructure from evolving threats.
The Artificial Intelligence and Data Science track: analyzing and interpreting complex data and developing intelligent systems that unlock insights that boost decision-making in various industries.
The undergraduate curriculum for the degree of Bachelor of Science in Computer Science consists of 100 credit hours of course work, where the standard duration of study is six semesters. Upon completing the university and program requirements, students graduating from the program may attain a general computer science degree or a computer science degree with a track specialization as per below.
| Computer Science Program | |
| I. University Requirements* | Credits |
| University Mandatory Courses | 5 |
| University Elective Courses | 11 |
| II. Program Requirements | Credits |
| Faculty Core Courses | 17 |
| Major Core Courses | 53 |
| Departmental Elective Courses** | 9 |
| General Science Electives (MATH, PHYS, CHEM) |
5 |
| Total | 100 |
* A total of 16 credits is required as General University Requirements: 5 credits are selected from the University Mandatory courses list, 4 credits from social sciences list, 4 credits from humanities list and 3 credits from other lists of the university elective courses + IC3 (Internet and Computing Core Certified).
** Students who want to graduate under a specific track must take all the Departmental electives from the desired track, otherwise they may freely select the Departmental electives.
Faculty Core Courses:
| Courses | Crs. | Pre-Co/requisites | ||
| MATH | 241 | Calculus and Analytical Geometry | 3 | |
| CHEM | 241 | Principles of Chemistry | 3 | |
| CHEM | 241L | Principles of Chemistry Laboratory | 1 | Co-requisite: CHEM241 |
| PHYS | 243 | General Physics | 3 | |
| PHYS | 243L | General Physics Laboratory | 1 | Co-requisite: PHYS243 |
| CMPS | 241 | Introduction to Programming | 3 | |
| MATH | 242 | Probability and Statistics | 3 | |
Major Core Courses:
| Courses | Crs. | Pre-Co/requisites | ||
| CMPS | 242 | Object Oriented Programming | 3 | Pre-requiiste: CMPS 241 |
| CMPS | 244 | Digital Circuits | 3 | |
| CMPS | 246 | Web Programming | 3 | Pre-requiiste: CMPS 241 |
| CMPS | 248 | Discrete Structures I | 3 | Pre-requiiste: CMPS 241 |
| CMPS | 347 | Data Structures | 3 | Pre-requiiste: CMPS 242 |
| CMPS | 343 | Computer Organization & Architecture | 3 | Pre-requiiste: CMPS 244 |
| CMPS | 345 | Discrete Structures II | 3 | Pre-requiiste: CMPS 248 |
| MATH | 341 | Linear Algebra | 3 | |
| CMPS | 342 | Database Systems | 3 | Pre-requisite: CMPS 242 |
| CMPS | 344 | Software Engineering | 3 | Pre-requisite: CMPS 242 |
| CMPS | 346 | Theory of Computation | 3 | Pre-requisite: CMPS 248 |
| MATH | 348 | Numerical Methods | 3 | Pre-requisite: MATH 241 |
| CMPS | 441 | Fundamentals of Algorithms | 3 | Pre-requisite: CMPS 347 & CMPS 345 |
| CMPS | 445 | Concepts of Programming Languages | 3 | Pre-requisite: CMPS 347 |
| CMPS | 447 | Computer Networks | 3 | Pre-requisite: CMPS 347 |
| CMPS | 443 | Senior Project I | 1 | |
| CMPS | 442 | Operating Systems | 3 | Pre-requisite: CMPS 347 |
| CMPS | 444 | Senior Project II | 3 | Pre-requisite: CMPS 443 |
| CMPS | 455 | Computer Security | 3 | Pre-requisite: CMPS 447 |
The Computer Science program provides a track option. Students must complete all major core courses included in the study plan and choose three elective courses from one declared track. All track core courses are major core courses included in the study plan of computer science program.
Students not joining a track can freely select their Departmental elective courses.
The Faculty of Science in Computer Science offers the Bachelor of Science after completing all university requirements, faculty requirements, general science electives, and major core courses, in addition to 3 of the offered departmental electives.
Students not joining a track can freely select their Departmental elective courses.
A student has to choose 9 credits out of the following list of Departmental Elective courses:
| Departmental Elective Courses | Credits | Pre-co/requisites | ||
| CMPS | 326 | Introduction to Human-Computer Interaction | 3 | |
| CMPS | 352 | Mobile App Development | 3 | Pre-req: CMPS342 |
| CMPS | 461 | Advanced Web Development | 3 | Pre-req: CMPS246 & CMPS342 |
| CMPS | 463 | Game Design & Development | 3 | Pre-req: CMPS347 |
| CMPS | 462 | Distributed Systems | 3 | Pre-req: CMPS447 |
| CMPS | 464 | Competitive Programming | 3 | Pre-req: CMPS441 |
A student has to choose 9 credits out of the following list of Departmental Elective courses:
| Departmental Elective Courses | Crs. | Pre-co/requisites | ||
| CMPS | 325 | Computer and Society | 3 | None |
| CMPS | 354 | Applied Machine Learning for Cybersecurity | 3 | Pre-req: MATH242, CMPS347 |
| CMPS | 465 | Cloud and Edge Computing | 3 | Pre-req: CMPS447 |
| CMPS | 467 | Internet of Things | 3 | Pre-req: CMPS447 |
| CMPS | 466 | Blockchain | 3 | Pre-req: CMPS455 |
| CMPS | 468 | Malware Analysis and Reverse Engineering | 3 | Pre-req: CMPS343, CMPS455 |
A student has to choose 9 credits out of the following list of Departmental Elective courses:
| Departmental Elective Courses | Crs. | Pre-co/requisites | ||
| CMPS | 452 | Introduction to Data Mining | 3 | Pre-req: CMPS342 & MATH242 |
| CMPS | 453 | Artificial Intelligence | 3 | Pre-req: CMPS347 & CMPS345 |
| CMPS | 356 | Introduction to Data Science | 3 | Pre-req: MATH242 |
| CMPS | 469 | Big Data and Data Analytics | 3 | Pre-req: MATH242 & CMPS342 |
| CMPS | 470 | Deep Learning | 3 | Pre-req: CMPS347 |
| CMPS | 472 | Applied Artificial Intelligence | 3 | Pre-req: CMPS347 & CMPS342 |
| Academic Years |
|---|
| 2020/2021: 259 |
| 2021/2022: 531 |
| Academic Years |
|---|
| 2020/2021: 41 |
| 2021/2022: 62 |
Study Plan:
| Course Code | Course Title | Credits | Hours Distribution | Course Type |
|---|---|---|---|---|
| First Semester | ||||
| CHEM241 | Principles of Chemistry | 3 | (3Crs.:3Lec) | FC |
| CHEM241L | Principles of Chemistry Laboratory | 1 | (1Cr.:3Lab) | FC |
| CMPS241 | Introduction to Programming | 3 | (3Crs.:2 Lec.,2Lab) | FC |
| MATH241 | Calculus and Analytical Geometry | 3 | (3 Cr.: 3Lec.,0 Tut., 0 Lab.) | FC |
| PHYS243 | General Physics | 3 | (3Crs.:3Lec) | FC |
| PHYS243L | General Physics Laboratory | 1 | (1Cr.:3Lab) | FC |
| ------- | University Requirements | 2 | (2crs.) | CUR |
| Second Semester | ||||
| CMPS242 | Object Oriented Programming | 3 | (3Crs.:2Lec,3Lab) | MJC |
| CMPS244 | Digital Circuits | 3 | (3Crs.:2 Lec,3Lab) | MJC |
| CMPS248 | Discrete Structures I | 3 | (3Crs.: 2Lec, 3Lab) | MJC |
| MATH242 | Probability and Statistics | 3 | (3 Crs.: 3 Lec.,0 Tut., 2 Lab.) | FC |
| ------- | University Requirements | 6 | (6crs.) | CUR |
| Third Semester | ||||
| CMPS246 | Web Programming | 3 | (3Crs.:2 Lec,3Lab): | MJC |
| CMPS342 | Database Systems | 3 | (3Crs.:2Lec,3Lab) | MJC |
| CMPS345 | Discrete Structures II | 3 | (3Crs.:2Lec,3Lab) | MJC |
| CMPS347 | Data Structures | 3 | (3Crs.:2Lec,3Lab) | MJC |
| MATH341 | Linear Algebra | 3 | (3 Crs.: 3 Lec.,0 Tut., 1 Lab.) | MJC |
| ------- | University Requirements | 2 | (2crs.) | CUR |
| Fourth Semester | ||||
| CMPS344 | Software Engineering | 3 | (3Crs.:2Lec,3Lab) | MJC |
| CMPS346 | Theory of Computation | 3 | (3Crs.:2 Lec,2 Tut) | MJC |
| CMPS447 | Computer Networks | 3 | (3Crs.:2Lec,3Lab) | MJC |
| MATH348 | Numerical Methods | 3 | (3 Crs.: 2Lec.,0 Tut., 2 Lab.) | MJC |
| ------- | University Requirements | 2 | (2crs.) | CUR |
| ------- | Elective (Departmental) | 3 | (3crs.) | DE |
| Fifth Semester | ||||
| CMPS441 | Fundamentals of Algorithms | 3 | (3Crs.:2 Lec,3Lab) | MJC |
| CMPS443 | Senior Project I | 1 | (1Cr.:1Lec,0Lab) | MJC |
| CMPS445 | Concepts of Programming Languages | 3 | (3Crs.:2Lec,3Lab) | MJC |
| CMPS455 | Computer Security | 3 | (3Crs.:2Lec,3Lab) | MJC |
| ------- | Elective (Departmental) | 3 | (3Crs.:2 Lec,3Lab) | DE |
| ------- | Elective (General Science) | 3 | (3crs.) | GSE |
| Sixth Semester | ||||
| CMPS343 | Computer Organization & Architecture | 3 | (3Crs.:2Lec,3Lab) | MJC |
| CMPS442 | Operating Systems | 3 | (3Crs.:2 Lec,3Lab) | MJC |
| CMPS444 | Senior Project II | 1 | (1Cr.:1Lec,0Lab) | MJC |
| ------- | Elective (Departmental) | 3 | (3crs.) | DE |
| ------- | University Requirements | 4 | (4crs.) | CUR |
| ------- | Elective (General Science) | 2 | (2crs.) | GSE |
| Course Code | Course Title | Credits | Hours Distribution | Course Type |
|---|---|---|---|---|
| CMPS325 | Computer and Society | 3 | (3Crs.:2Lec,3Lab) | DE |
| CMPS326 | Introduction to Human-Computer Interaction | 3 | (3Crs.:2Lec,3Lab) | DE |
| CMPS327 | Image Processing | 3 | (3Crs.:2 Lec,3Lab) | DE |
| CMPS348 | Compiler Construction | 3 | (3Crs.:2Lec,3Lab) | DE |
| CMPS349 | File Structures | 3 | (3Crs.:2 Lec,3Lab) | DE |
| CMPS352 | Mobile App Development | 3 | (3Crs.:2 Lec,3Lab) | DE |
| CMPS354 | Applied Machine Learning for Cybersecurity | 3 | (3Crs.:2Lec,3Lab) | DE |
| CMPS356 | Introduction to Data Science | 3 | (3Crs.:2Lec,3Lab) | DE |
| CMPS450 | Computer Graphics | 3 | (3Crs.:2 Lec,3Lab) | DE |
| CMPS451 | Software Design and Quality | 3 | (3Crs.:2Lec,3Lab) | DE |
| CMPS453 | Artificial Intelligence | 3 | (3Crs.:2Lec,3Lab) | DE |
| CMPS454 | Logic and Automated Reasoning | 3 | (3Crs.:2Lec,3Lab) | DE |
| CMPS456 | Topics in Computer Science | 3 | (3Crs.:2Lec,3Lab) | DE |
| CMPS461 | Advanced Web Development | 3 | (3Crs.:2 Lec,3Lab) | DE |
| CMPS462 | Distributed Systems | 3 | (3Crs.:2 Lec,3Lab) | DE |
| CMPS463 | Game Design and Development | 3 | (3Crs.:2 Lec,3Lab) | DE |
| CMPS464 | Competitive Programming | 3 | (3Crs.:2 Lec,3Lab) | DE |
| CMPS465 | Cloud and Edge Computing | 3 | (3Crs.:2Lec,3Lab) | DE |
| CMPS466 | Blockchain | 3 | (3Crs.:2Lec,3Lab) | DE |
| CMPS467 | Internet of Things | 3 | (3Crs.:2Lec,3Lab) | DE |
| CMPS468 | Malware Analysis and Reverse Engineering | 3 | (3Crs.:2Lec,3Lab) | DE |
| CMPS469 | Big Data and Data Analytics | 3 | (3Crs.:2Lec,3Lab) | DE |
| CMPS470 | Deep Learning | 3 | (3Crs.:2Lec,3Lab) | DE |
| CMPS472 | Applied Artificial Intelligence | 3 | (3Crs.:2Lec,3Lab) | DE |
| Course Code | Course Title | Credits | Hours Distribution | Course Type |
|---|---|---|---|---|
| CMPS452 | Introduction to Data Mining | 3 | (3Crs.:2Lec,3Lab) | TE |