An Application of Markov Modeling to the Student Flow in Higher Education in Sudan
Journal Title: UNKNOWN - Year 2015, Vol 4, Issue 2
Abstract
Abstract. This paper focuses on modeling students flow in educational system with a stochastic process depending mainly on Markov Chains to predict the number of graduate students for the coming years. This paper curried out in the high education system in Sudan under the enlargement of intakes during (2001-2011). The model has been applied to estimate the predicting number and ratios of students in different levels for graduate students after studying period without delaying, the ratio of whole graduations, the delaying ratio and dismissed students over the batches. The results indicated that The ratio of delaying seems to be decreasing all over the batches (61%,45%,42%,33%). From the mean absolute error (MAE) test, the model shows that there is homogeneous and no significant difference in comparing the actual numbers with predicted numbers.
Detection and Evaluation of Differentiated Thyroid Carcinoma by using Tc99m and Iodinei 131 Scanning
Detection and Evaluation of Differentiated Thyroid Carcinoma by using Tc99m and Iodinei 131 Scanning
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From all forage crops, which together with meadows have a major contribution in ensuring the forage base, alfalfa crop (Medicago sativa L.) occupies a position of great importance. This plant is distinguished by its fora...
Governing Principles of Rocket Flight
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Ethics and Social Impact of Information Systems in Our Society: Analysis and Recommendations
The evolution of information systems in our society today has grossly affected the way we live our lives. This has invariably led to the increase in ethical and social impacts that are rising in the society from health r...
Knowledge Regarding Prevention of Complications of Diabetes Mellitus
The objective of the study was to evaluate the effectiveness of Individualized Planned Teaching Programme (IPTP) on knowledge regarding prevention of complications of Diabetes Mellitus among Diabetic patients. A quasi ex...