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

✍ Scribed by Lorenzo Cevallos-Torres, Miguel Botto-Tobar

Publisher: Springer International Publishing
Year: 2019
Tongue: English
Leaves: 144
Series: Studies in Computational Intelligence 824
Edition: 1st ed.
Category: Library

No coin nor oath required. For personal study only.

✦ Synopsis

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

Front Matter ....Pages i-xvi
The System Simulation and Their Learning Processes (Lorenzo Cevallos-Torres, Miguel Botto-Tobar)....Pages 1-11
Process Sampling (Lorenzo Cevallos-Torres, Miguel Botto-Tobar)....Pages 13-31
Pseudo-Random Numbers and Congruential Methods (Lorenzo Cevallos-Torres, Miguel Botto-Tobar)....Pages 33-58
Random Variable Generation Methods (Lorenzo Cevallos-Torres, Miguel Botto-Tobar)....Pages 59-86
Monte Carlo Simulation Method (Lorenzo Cevallos-Torres, Miguel Botto-Tobar)....Pages 87-96
Case Study: Logistical Behavior in the Use of Urban Transport Using the Monte Carlo Simulation Method (Lorenzo Cevallos-Torres, Miguel Botto-Tobar)....Pages 97-110
Case Study: Project-Based Learning to Evaluate Probability Distributions in Medical Area (Lorenzo Cevallos-Torres, Miguel Botto-Tobar)....Pages 111-122
Case Study: Probabilistic Estimates in the Application of Inventory Models for Perishable Products in SMEs (Lorenzo Cevallos-Torres, Miguel Botto-Tobar)....Pages 123-132

✦ Subjects

Engineering; Computational Intelligence; Technology and Digital Education; Probability and Statistics in Computer Science

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