The growing trend of Massive Open Online Courses has led to an enormous number of courses accessible over the internet under different MOOCs programs. When a person wants to learn a specific module, he can easily search it on the look-up site of the MOOC program and get a group of course propositions to choose from. Sometimes, the course may not contain all the required resources. Even if the learner spends time to take one course, he may not still get significant information for the learner taught in other courses. On the other hand, experiencing all related courses is not possible for a learner, and in particular, is not necessary when the courses do not cover the desired things. In general, it is easy to learn a lecture after several lectures since the content of the previous one is on the basis of the notions mentioned lastly.
Dr. Ebrahem ALI Elburase(1-2019)

Nowadays, educational and research institutions, especially universities, have considered their focus on cloud computing rather than using conventional prospects to take the most benefits of the services offered to support current trends in teaching and learning strategies. To build these networks in a cost effective way, open source cloud computing platforms are used. One of the powerful tools is Openstack, which allows users to create virtual networks and manage virtual machines within distributed learning environments. In this article, we describe our project on designing and evaluating a private cloud within a university environment using Openstack. To this end, we conduct a survey to measure the students' attitude towards the use of private clouds in which students and experts serve as samples. We design a virtual lab consisting of a number of virtual machines operated by a selected sample. We evaluate the proposed solution by adopting Technology Acceptance Model (TAM) methodology. The results obtained from this study show that the students' acceptance in using the private cloud in performing their tasks is encouraging albeit their anxiety on security issues and their lack of experience.
Belaid Mohammed Addokali, Adib Habbal, Suhaidi Hassan, Nabil Benamar(4-2017)

Due to the rapid development in information technology in terms of information exchange and transmission through different transmission media, and the provision of storage places. when the volume of data is smaller, this means that, it provides better transmission speed. and saves time, which led to the emergence of data compression techniques to reduce its size without compromising the quality of the data. Data compression is still an important topic of research and has many applications and required uses. This paper presents a study of some of the data compression methods: Huffmann and Huffmann shift code, binary shift code algorithm, and the LZW method, analyzing and comparing between them, using a fixed text for all methods. keywords: Data compression, compression techniques, Huffmann, Huffmann shift code, binary shift code , LZW.
Jalal M. Mehalhal, Adem.A.Bensaid, Mohamed Egbisha(8-2021)