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

• Main Authors: Cevallos-Torres, Lorenzo (Author, http://id.loc.gov/vocabulary/relators/aut), Botto-Tobar, Miguel (http://id.loc.gov/vocabulary/relators/aut)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic eBook
• Language: English
• Published: Cham : Springer International Publishing : Imprint: Springer, 2019.
• Edition: 1st ed. 2019.
• Series: Studies in Computational Intelligence, 824
• Subjects: Computational intelligence.; Artificial intelligence.; Educational technology.; Mathematical statistics.; Computational Intelligence.; Artificial Intelligence.; Technology and Digital Education.; Probability and Statistics in Computer Science.

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...

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.