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

ISBN-13: 9783030133924 / Angielski / Twarda / 2019 / 132 str.

Lorenzo Cevallos-Torres; Miguel Botto-Tobar

Spis treści

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.

Blurb

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.