Problem-Based Learning: A Didactic Strategy in the Teaching of System Simulation

Description: Problem-Based Learning: A Didactic Strategy in the Teaching of System Simulation by Lorenzo Cevallos-Torres, Miguel Botto-Tobar This book describes and outlines the theoretical foundations of system simulation in teaching, and as a practical contribution to teaching-and-learning models. FORMAT Hardcover LANGUAGE English CONDITION Brand New Publisher Description 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. Back Cover 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. Table of Contents 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. Feature A general, descriptive and didactic introduction on the use of simulation systems in probability distributions Helps the reader to solve real-life problems Describes how the different simulation methods can be used to analyze phenomena and problems Details ISBN3030133923 Year 2019 ISBN-10 3030133923 ISBN-13 9783030133924 Format Hardcover Pages 132 Publication Date 2019-03-21 Language English DOI 10.1007/978-3-030-13393-1 Series Number 824 UK Release Date 2019-03-21 Edition 1st Imprint Springer Nature Switzerland AG Place of Publication Cham Country of Publication Switzerland Author Miguel Botto-Tobar Publisher Springer Nature Switzerland AG Edition Description 1st ed. 2019 Series Studies in Computational Intelligence Alternative 9783030133955 DEWEY 005.55 Audience Professional & Vocational Illustrations 22 Illustrations, color; 21 Illustrations, black and white; XVI, 132 p. 43 illus., 22 illus. in color. We've got this At The Nile, if you're looking for it, we've got it. With fast shipping, low prices, friendly service and well over a million items - you're bound to find what you want, at a price you'll love! TheNile_Item_ID:131020715;

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