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TitleProblem-Based Learning: A Didactic Strategy in the Teaching of System Simulation [electronic resource] / by Lorenzo Cevallos-Torres, Miguel Botto-Tobar
ImprintCham : Springer International Publishing : Imprint: Springer, 2019
Edition 1st ed. 2019
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Descript XVI, 132 p. 43 illus., 22 illus. in color. online resource


This book describes and outlines the theoretical foundations of system simulation in teaching, and as a practical contribution to teaching-and-learning models. It presents various methodologies used in teaching, the goal being to solve real-life problems by creating simulation models and probability distributions that allow correlations to be drawn between a real model and a simulated model. Moreover, the book demonstrates the role of simulation in decision-making processes connected to teaching and learning


The System Simulation and their Learning Processes -- Process Sampling -- Pseudo-random Numbers and Congruential Methods -- Random Variable Generation Methods -- Monte Carlo Simulation Method -- Case Study: Logistical Behavior in the use of Urban Transport Using the Monte Carlo Simulation Method -- Case Study: Project-Based Learning to Evaluate Probability Distributions in Medical Area -- Case Study: Probabilistic Estimates in the Application of Inventory Models for Perishable Products in SMEs

Engineering Artificial intelligence Educational technology Computer science Computational Intelligence. Artificial Intelligence. Technology and Digital Education. Probability and Statistics in Computer Science.


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