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

Medium: Buch
ISBN: 978-3-030-13392-4
Verlag: Springer International Publishing
Erscheinungstermin: 21.03.2019
Lieferfrist: bis zu 10 Tage

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.


Produkteigenschaften


  • Artikelnummer: 9783030133924
  • Medium: Buch
  • ISBN: 978-3-030-13392-4
  • Verlag: Springer International Publishing
  • Erscheinungstermin: 21.03.2019
  • Sprache(n): Englisch
  • Auflage: 1. Auflage 2019
  • Serie: Studies in Computational Intelligence
  • Produktform: Gebunden
  • Gewicht: 395 g
  • Seiten: 132
  • Format (B x H x T): 160 x 241 x 14 mm
  • Ausgabetyp: Kein, Unbekannt
Autoren/Hrsg.

Autoren

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.