About Faculty
Information about the faculty, its vision, and mission.
Vision
To be a transforming and inspiring faculty of the latest technological advancements to develop communities through innovative knowledge.
Mission
The faculty of information Technology is committed to provide transformative experiences through academic excellence, cutting-edge research and innovation, industry-relevant skills, community-centric IT solutions, and leadership in the digital era to be able to survive today's fiercely competitive and technologically oriented world.
Dean’s Welcome
Welcome message from the Dean.
Welcome to the Faculty of Information Technology. As the Dean, I am delighted to welcome our future innovators and leaders in this dynamic and constantly changing field. The digital era is here, reshaping every aspect of our lives and speeding up our move into a digital-centric world. This transition highlights the crucial role of IT in the public and private sectors, pushing us towards a more interconnected and effective society.
At our Faculty, we are committed to preparing the next generation of IT professionals---those who will lead and define the future of digital transformation, both locally and globally. Our mission is to equip you with the skills to contribute significantly to a smart society. We achieve this through a curriculum that perfectly marries theoretical knowledge with practical application, fostering innovation at every step.
Our Carefully designed study plans, aligned with international standards and industry demands, guarantee a thorough educational experience. Presently, we provide three advanced BSc programs: Computer Science, Data Science and Artificial Intelligence, and Cybersecurity. Every program is crafted to push and broaden your skills, readying you for the vibrant IT landscape.
I invite you to join us on this journey to shape the future of technology and society. Welcome to IT, where technology is integrated with life for a better human experience.
Academic Departments
Information about various academic departments.
Computer Science
The Computer Science department develops skilled professionals who excel at creating cutting-edge digital solutions.
- 134 Credit Hours
- 60 % Minimum Accepted Grade
Data Science and AI
The Data Science and AI department trains experts in using data and artificial intelligence to craft innovative solutions that transform communities.
- 134 Credit Hours
- 60 % Minimum Accepted Grade
Cyber Security
The Cybersecurity department prepares professionals to create secure digital systems, ensuring protection against modern threats.
- 134 Credit Hours
- 60 % Minimum Accepted Grade
Faculty Members & Staff
List and information about faculty members and staff.
Dean of Faculty of Information Technology
Computer Science
Cyber Security
Data Science and AI
Administrative Staff
Executive Board
Details about the executive board members.
Facilities & Labs
Information about the facilities and laboratories.
SA-G03: Computer Lab
There is 30 Dell Desktop in the Lab SAG03 with the following specification
|
Storage: |
SSD |
|
Operating System: |
Windows 10 Enterprise 64-bit (10.0, Build 19045) (19041.vb_release.191206-1406) |
|
Processor: |
Intel(R) Core(TM) i5-6500 CPU @ 3.20GHz (4 CPUs), ~3.2GHz |
|
Memory: |
4096MB RAM |
|
Available OS Memory: |
3976MB RAM |
|
graphics card name and Chip type: |
Intel(R) HD Graphics 530 |
|
Speakers |
Speakers (Synaptics HD Audio) |
One Hp admin Pc in lab SAG03 with the following specifications:
|
Storage: |
SSD |
|
Operating System: |
Windows 10 Enterprise 64-bit (10.0, Build 19045) (19041.vb_release.191206-1406) |
|
Processor: |
Intel(R) Core(TM) i7-6700 CPU @ 3.40GHz (8 CPUs), ~3.4GHz |
|
Memory: |
16384MB RAM |
|
graphics card name and Chip type: |
Intel(R) HD Graphics 530 |
|
Speakers |
Speakers (Realtek High Definition Audio) |
SA-G11: Computer Lab (31 desktop)
One thinkCenter admin Pc in lab SAG11 with the following specifications:
|
Storage: |
SSD |
|
Operating System: |
Windows 10 Enterprise 64-bit (10.0, Build 19045) (19041.vb_release.191206-1406) |
|
Processor: |
Intel(R) Core(TM) i7-4790 CPU @ 3.60GHz (8 CPUs), ~3.6GHz |
|
Memory: |
8192MB RAM |
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graphics card name and Chip type: |
Microsoft Basic Display Driver |
|
Speakers |
(Realtek High Definition Audio) |
There is 30 Dell Desktop in the Lab SAG11with the following specification:
|
Storage: |
SSD |
|
Operating System: |
Windows 10 Enterprise 64-bit (10.0, Build 19045) (19041.vb_release.191206-1406) |
|
Processor: |
Intel(R) Core(TM) i5-6500 CPU @ 3.20GHz (4 CPUs), ~3.2GHz |
|
Memory: |
4096MB RAM |
|
graphics card name and Chip type: |
Intel(R) HD Graphics 530 |
|
Speakers |
Speakers (Synaptics HD Audio) |
SA-F11: Computer Lab (31 desktop)
There is 11 Dell Desktop in the Lab SAF11with the following specification:
|
Storage: |
SSD |
|
Operating System: |
Windows 10 Enterprise 64-bit (10.0, Build 19045) (19041.vb_release.191206-1406) |
|
Processor: |
Intel(R) Core(TM) i5-6500 CPU @ 3.20GHz (4 CPUs), ~3.2GHz |
|
Memory: |
4096MB RAM |
|
graphics card name and Chip type: |
Intel(R) HD Graphics 530 |
|
Speakers |
Speakers (Synaptics HD Audio) |
There is 13 Dell Desktop in the Lab SAF11with the following specification:
|
Storage |
SSD |
|
Operating System: |
Windows 10 Enterprise 64-bit (10.0, Build 19045) (19041.vb_release.191206-1406) |
|
Processor: |
Intel(R) Core(TM) i5-2400 CPU @ 3.10GHz (4 CPUs), ~3.1GHz |
|
Memory: |
4096MB RAM |
|
graphics card name and Chip type: |
NVIDIA GeForce GT 220 |
|
Speakers |
Speakers (High Definition Audio Device) |
4 thinkCenter admin Pc in lab SAG11 with the following specifications:
|
Storage |
SSD |
|
Operating System: |
Windows 10 Enterprise 64-bit (10.0, Build 19045) (19041.vb_release.191206-1406) |
|
Processor: |
Intel(R) Core(TM) i7-4790 CPU @ 3.60GHz (8 CPUs), ~3.6GHz |
|
Memory: |
8192MB RAM |
|
graphics card name and Chip type: |
Microsoft Basic Display Driver |
|
Speakers |
(Realtek High Definition Audio) |
There is 3 Hp elite Desk Desktop in the Lab SAF11with the following specification:
|
Storage: |
HDD |
|
Operating System: |
Windows 10 Enterprise 64-bit (10.0, Build 19045) (19041.vb_release.191206-1406) |
|
Processor: |
Intel(R) Core(TM) i7-6700 CPU @ 3.40GHz (8 CPUs), ~3.4GHz |
|
Memory: |
16384MB RAM |
|
graphics card name and Chip type: |
Intel(R) HD Graphics 530 |
|
Speakers |
Speakers (Realtek High Definition Audio) |
BA-G38: Computer Lab (21Dell Desktop)
There is 21 Dell Desktop in the Lab BAG38 with the following specification:
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Storage: |
SSD |
|
Operating System: |
Windows 10 Enterprise 64-bit |
|
Processor: |
11th Gen Intel(R) Core(TM) i7-11700 @ 2.50GHz (16 CPUs), ~2.5GHz |
|
Memory: |
16384MB RAM |
|
graphics card name and Chip type: |
NVIDIA GeForce GT 710 |
|
Speakers |
(Realtek(R) Audio) |
XX-XX: IoT and Robotic Lab (17 laptop)
There is 17 Desktop in the Lab (IoT and Robotic) with the following specification:
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Storage: |
500GB SSD M.2 |
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Processor: |
Intel Core i7/i9 4.7 speed or above Min cache 16MB |
|
Memory: |
16GB |
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graphics card name and Chip type: |
Dedicated GPU RTX series 4 6 GB or 8 GB |
|
Monito |
27-inch FHD. build in IPS Ergo Stand |
XX-XX: Digital Forensics and Ethical Hacking lab (20 laptop)
Laptop Asus Vivobook 15 X1502ZA Core i5 with the following specifications
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Storage: |
512GB SSD |
|
Operating System: |
Windows 10 Enterprise 64-bit |
|
Processor: |
12th Generation Intel Core i5-12500H 3.30GHz up to 4.50GHz 18MB 8 Cores -16 Threads |
|
Memory: |
32 GBRAM DDR4 |
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graphics card name and Chip type: |
Intel Iris Xe Graphics |
|
Audio |
SonicMasterBuilt-in speakerBuilt-in microphone |
Publications & Activities
Information about publications and activities.
Enhancing Autonomy of Context-Aware Self-healing in Fog Native Environments
S Inshi, R Chowdhury, MB Taha, C Talhi
International Symposium on Foundations and Practice of Security, 336-350
S. A. Madi and G. Pirrò. (2024). Entropy-Based Attack on Community Detection in Directed Networks (accepted for publication in Complex Networks & Their Applications XIII - Proceedings of The Thirteenth International Conference on Complex Networks and thei
Alhalaseh, R., Beyond Asymptotics: Real-Time Performance of Basic Operations (Preliminary Results). In 4th ICCIT conference (IEEE), Tabuk, Kingdom of Saudi Arabia, 18-19th December 2024
Alhalaseh, R., Enhanced electrical load prediction: a deep ensemble learning approach. Journal of Electronic Science and Technology. Preprint.
Hassanat, A, Alqaralleh, M., K., Tarawneh, A., S., et al. A Novel Outlier-Robust Accuracy Measure for Machine Learning Regression Based on Hassanat Distance Metric, Oct 2024, Mathematics, MDPI
Hawatmeh, C. Z., Abu Hashish, I., & Alazzeh, R. R. (2024). Outnumbered and outranked: a
macrostructural snapshot of gendered inequalities in higher academia in Jordan. International
Journal of Organizational Analysis.
Sanjalawe, Y., Makhadmeh, S. and Alqudah, H., 2024, February. Digital Forensics Meets Blockchain: Enhancing Evidence Authenticity and Traceability. In 2024 2nd International Conference on Cyber Resilience (ICCR) (pp. 01-06). IEEE.
Sanjalawe, Yousef, and Hamzah Alqudah. "Integrating Enhanced Security Protocols with Moving Object Detection: A Yolo-Based Approach for Real-Time Surveillance." 2024 2nd International Conference on Cyber Resilience (ICCR). IEEE, 2024.
Ababneh, Ahmad & Sanjalawe, Yousef & Fraihat, Salam & Al-Emari, Salam & Alqudah, Hamzah. (2024). Orbit Weighting Scheme in the Context of Vector Space Information Retrieval. Computers, Materials & Continua. 80. 1-10. 10.32604/cmc.2024.050600.
Yu, H., Zhang, C., Cao, K., Alqudah, H. M., & Weidong Su, S. (2024). Oxygen uptake response to switching stairs exercise by non-parametric modeling. Control Theory and Technology, 22(2), 315-325.
News
Latest news from the faculty.
Events
Upcoming events hosted by the faculty.
Announcements
Important announcements from the faculty.
