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

Springer (Verlag)
  • erschienen am 4. April 2020
  • Buch
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  • Softcover
  • |
  • XVI, 132 Seiten
978-3-030-13395-5 (ISBN)
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.
1st ed. 2019
  • Englisch
  • Cham
  • |
  • Schweiz
Springer International Publishing
  • Für Beruf und Forschung
  • 22
  • |
  • 100 farbige Tabellen, 21 s/w Abbildungen, 22 farbige Abbildungen
  • |
  • 100 Tables, color; 22 Illustrations, color; 21 Illustrations, black and white; XVI, 132 p. 43 illus., 22 illus. in color.
  • Höhe: 23.5 cm
  • |
  • Breite: 15.5 cm
978-3-030-13395-5 (9783030133955)
weitere Ausgaben werden ermittelt
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.

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