Acquiring academic accreditation for degree programs is a top priority for universities across the world. This is understandable because accreditation not only leads to better content and delivery of these programs but also allows these institutes to acquire good quality students and faculty members. One respectable body that has the mandate to accredit computing programs is the Accreditation Board for Engineering and Technology (ABET). In this paper, we provide the details of our assessment and evaluation strategies for ABET-defined student outcomes (SOs) of computer science and computer information systems programs. The assessment is mainly carried out through a range of direct and indirect assessment methods, including summative data analysis, formative data analysis, exit exam, faculty survey, and alumni survey. Then, data gathered from these sources is aggregated and analyzed to quantify the attainment of SOs. This also forms the basis of the continuous improvement process activities that are the cornerstone of any accreditation-related activity. While presenting this, this paper provides details on the challenges that were faced during the process. The most important contribution includes strategies that were adopted to tackle these issues. A unique aspect of our institute is the academic environment that consists of segregated male and female students and faculty members in order to respect the cultural norms of the society. Another contribution of this paper is that it acts as a guide for institutes and their management that plan to embark upon the journey of accrediting their computing programs.

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We have synthesized new series of bisindole analogs ( 1 – 27 ), characterized by 1 HNMR and HR-EI-MS and evaluated for their anti-leishmanial potential. All compounds showed outstanding inhibitory potential with IC 50 values ranging from 0.7 ± 0.01 to 13.30 ± 0.50 µM respectively when compared with standard pentamidine with IC 50 value of 7.20 ± 0.20 µM. All analogs showed greater potential than standard except 10 , 19 and 23 when compared with standard. Structure activity relationship has been also established for all compounds. Molecular docking studies were carried out to understand the binding interaction of active molecules. Electronic supplementary material The online version of this article (10.1186/s13065-019-0617-4) contains supplementary material, which is available to authorized users.

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Digital transformation of businesses has seen tremendous growth recently, moreover, COVID-19 has increased online shopping. However, it is important for businesses that customers’ online shopping experience is secure and joyful. In this paper, customers’ security perception regarding some leading mobile commerce applications in Saudi Arabia is explored. Our survey questions focused on three aspects, namely: Consumer rating, trustworthiness, and credit card security. The results highlight that consumers perceive that mobile commerce applications in Saudi Arabia need further improvement in security. In this work, a model to improve customers’ security perception in Saudi Arabia is presented. This model can be generalized to other geographical regions as well. The model outlines different actions for practitioners and policymakers that help in improving security infrastructure, authentication mechanisms, and trustworthiness.

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Modern human life is heavily dependent on computing systems and one of the core components affecting the performance of these systems is underlying operating system. Operating systems need to be upgraded to match the needs of modern-day systems relying on Internet of Things, Fog computing and Mobile based applications. The scheduling algorithm of the operating system dictates that how the resources will be allocated to the processes and the Round Robin algorithm (RR) has been widely used for it. The intent of this study is to ameliorate RR scheduling algorithm to optimize task scheduling. We have carried out an experimental study where we have developed four variations of RR, each algorithm considers three-time quanta and the performance of these variations was compared with the RR algorithm, and results highlighted that these variations performed better than conventional RR algorithm. In the future, we intend to develop an automated scheduler that can determine optimal algorithm based on the current set of processes and will allocate time quantum to the processes intelligently at the run time. This way the task performance of modern-day systems can be improved to make them more efficient.