Faculty of Information Technology

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About Faculty of Information Technology

Faculty of Information Technology

The Faculty of Information Technology is one of the most recent faculties at the University of Tripoli, as it was established in pursuant to the former General People's Committee for Higher Education Decision No. 535 of 2007 regarding the creation of Information Technology Faculties in the main universities in Libya.

 

Upon its establishment, the Faculty consisted of three departments: Computer Networks Department, Computer Science Department and Software Engineering Department. It now includes five departments: Mobile Computing Department, Computer Network Department, Internet Technologies Department, Information Systems Department and Software Engineering Department.

 

The Faculty’s study system follows the open semester system by two (Fall and Spring) terms per year. The Faculty began to actually accept students and teach with the beginning of the Fall semester 2008. It grants a specialized (university) degree in information technology in any of the aforementioned disciplines. Obtaining the degree requires the successful completion of at least 135 credit hours. Arabic is the language of study in the college, and English may be also used alongside it. It takes eight semesters to graduate from the Faculty if Information Technology.

 

The Faculty aspires to open postgraduate programs in the departments of computer networks and software engineering in the near future.

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69

Publications

38

Academic Staff

1710

Students

159

Graduates

Faculty of Information Technology News

2021-05-04 531 0
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بكالوريوس في تقنية المعلومات
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Who works at the Faculty of Information Technology

Faculty of Information Technology has more than 38 academic staff members

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Prof.Dr. Azeddien M S Sllame

عزالدين السلامي هو احد اعضاء هيئة التدريس بقسم الشبكات بكلية تقنية المعلومات. يعمل السيد عزالدين السلامي بجامعة طرابلس كـاستاذ دكتورمنذ 2022-02-05 وله العديد من المنشورات العلمية في مجال تخصصه في العديد من المجلات العلمية والمؤتمرات دولية من مثل مؤتمرات IEEE و ACM

Publications

Some of publications in Faculty of Information Technology

الأنظمة الحيوية للمصادقة من أجل قبول المستخدمين لتطبيقاتها في الحكومة الإلكترونية

تناقش الورقة دراسة قبول موظفي الحكومة وتصوراتهم لإدخال انظمة المصادقة الحيوية Biometric” “Systems Authentication في مكان العمل. وتقترح دراسة العوامل التي تؤثر على قبول الموظفين للتقنية الجديدة حتى تسهل تبني واعتماد إستخدام التقنية الحيوية “Biometrics “في تطبيقات الحكومة الإلكترونية المختلفة. للتحقق من قبول الموظفين و استخدامهم لانظمة القياسات الحيوية “Systems Biometrics.“ الدراسات تشير إلى وجود فجوة رقمية وثقافية كبيرة بين الوعي باستخدام الموظفين للتقنية والحلول المفضلة التي تروج لها الإدارة لاستخدامها في المصادقة“Authentication “علي معاملات الحكومة الالكترونية وانعدام الثقة في التقنية واحتمالات سوء الاستخدام. دوافع الإدارة تعكس حاجة المديرين للنظر في هذه المسؤوليات لتضييق هذه الفجوات. يبدو واضحا أن التغلب على مقاومة الموظفين للتغيير, من استخدام الطرق التقليدية الي توظيف تقنيات جديدة هي قضية أساسية تواجه تنفيذ الانظمة الحيوية للمصادقة. استنادا إلى البحوث نوصي بأنه يجب ان تتم عملية التوعية والتوجيه حول الانظمة الحيوية قبل إدخال هذه التقنية وتقديمها في اي منظمة.
عبدالمنعم عمر احمد الاسود(1-2020)
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Applying Multiple Deep Learning Models for Antipersonal Landmines Recognition

Antipersonnel landmines represent a very serious hazard endangering the lives of many people living in armed conflict counties. The huge number of human lives lost due to this phenomenon has been a strong motivation for this research. Deep Learning (DL) is considered a very useful tool in object detection, image classification, face recognition and other computer vision activities. This paper focuses on DL for the problem of landmines recognition in order to identify its type based on shape features. This research work consists of several stages: gathering a new dataset of Anti-Personnel Mines (APMs) images for training and testing purposes, employing several augmentation strategies to boost the diversity of training data, applying four different Convolutional Neural Network (CNN) models namely VGG, ResNet, MiniGoogleNet and MobileNet, and evaluating their performances on APMs recognition. In conclusion, results indicate that MiniGoogleNet exceed all of other three models in recognizing APMs with the highest accuracy rate of 97%. arabic 9 English 69
Hassan Ali Hassan Ebrahem, Abdelhamid Elwaer, Marwa Solla, Fatima Ben Lashihar, Hala Shaari, Rudwan A. Husain(7-2021)
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Implementation Network Management Solution Using PRTG and Solar Winds Tools

Successful companies know that network management is crucial for the proper support and maintenance of network infrastructure. When it comes to managing a large-scale or highly complex network, you’ll need a powerful network management system that will meet your challenging business needs. There are several programs suggested different types of solutions. PRTG and SolarWinds are an excellent solution, since they have many features that help the network engineer, administrator or technician to easily control, manage and monitor the devices comprehensively. Moreover, PRTG and SolarWinds can integrate with monitoring and management protocols such as SNMP and NetFlow to provide an excellent integrated unified management solution. That being said, PRTG and SolarWinds will facilitate the management of network devices throughout performing configuration, Security, Fault, Performance and Accounting management which will increase productivity, Quality, Revenue and lower the cost. arabic 9 English 66
Mariam Abojela Msaad, Mohamed Fathi Almograbi , Anas Moftah Alshoukri (12-2019)
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