Lorenzo Cevallos-Torres, Miguel Botto-Tobar

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

• Broschiertes Buch

Produktbeschreibung

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.

Produktdetails

• Studies in Computational Intelligence 824
• Verlag: Springer / Springer International Publishing / Springer, Berlin
• Artikelnr. des Verlages: 978-3-030-13395-5
• 1st ed. 2019
• Seitenzahl: 148
• Erscheinungstermin: 14. August 2020
• Englisch
• Abmessung: 235mm x 155mm x 9mm
• Gewicht: 236g
• ISBN-13: 9783030133955
• ISBN-10: 3030133958
• Artikelnr.: 59796970

Inhaltsangabe

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.