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.

Facts about Faculty of Information Technology

We are proud of what we offer to the world and the community

69

Publications

38

Academic Staff

1710

Students

159

Graduates

Faculty of Information Technology News

2021-05-04 644 0
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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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Mr. Ahmed Ali Sadegh Elhoni

Publications

Some of publications in Faculty of Information Technology

Enhanced Still 3D Integral Images Rendering Based on Multiprocessor Ray Tracing System

The main purpose of this paper is to introduce 3D integral imaging interpolation method, to overcome the 3D missing information problem occurred between cylindrical lenses (micro-images) due to occluded areas in the previous cylindrical lens, new cylindrical lens shows an area, to generate one single photo-realistic 3D integral imaging frame. The method is based on a Multiprocessor ray-tracer containing 3D integral imaging parser, 3D integral camera model, a 3D integral imaging renderer, spatial coherence and 3D scene transformations. Consequently, an increase in speed in the generation of still 3D integral image is achieved compared to fully ray tracing time of missing pixels. Experiments show that a significant reduction in execution time is achieved by using the 3D integral interpolation process. Savings up to (57%-66%) in the ray tracing time when compared to fully ray tracing the missing pixels depends on the complexity of the scene. 
Dr. Mahmoud Geat Eljadid, Prof. Amar Aggoun, Dr. Osama Hassan Youssef(1-2022)
Publisher's website

Analysis of Survey Data on Open Educational Resources

This paper reports on a preliminary analysis of survey data on using open educational resources at the Faculty of Information Technology, University of Tripoli. The survey data was collected electronically from students. The objective of the survey is to assess the awareness and usage of open educational resources within the faculty. Results of our survey reveal that 90% of students are using open educational resources. arabic 7 English 46
Abdusalam F. Nwesri , H. Harmain(4-2019)
Publisher's website

Extracting Geographic 3D Integral Images Data from Raster Maps

Holoscopic 3D imaging (H3D) technology also known as integral imaging is a true 3D imaging technology. It offers the simplest form that is capable of recording and replaying the true light field 3D scene in the form of a planar intensity distribution, by employing Microlens array. Despite it uses the same characteristics of holographic, it records the 3D information in 2D form and display in full 3D with optical component, without the need of coherent light source and confine dark fine. In addition, it facilitates postproduction processing such as refocusing. This makes it more practical approach for real-time 3D image capture and display. In this paper, a new method of extract 3D integral images data from raster maps. The R2V is an advanced raster to vector conversion software system is mainly used in order to generate geographical 3D integral images. Experimental results are extremely satisfactory and for the first time it is proved that, Geographic 3D Integral Images is generated. It means that, a new certain approach enables GIS applications of using 3D integral images is now established.
Dr. Mahmoud Geat Eljadid(12-2021)
Publisher's website