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

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. 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