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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
Connect tohttps://doi.org/10.1007/978-3-030-13393-1
Descript XVI, 132 p. 43 illus., 22 illus. in color. online resource

SUMMARY

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


CONTENT

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. http://scigraph.springernature.com/things/product-market-codes/T11014 Artificial Intelligence. http://scigraph.springernature.com/things/product-market-codes/I21000 Technology and Digital Education. http://scigraph.springernature.com/things/product-market-codes/O47000 Probability and Statistics in Computer Science. http://scigraph.springernature.com/things/product-market-codes/I17036



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