Problem-Based Learning: A Didactic Strategy in the Teaching of System Simulation
(Sprache: Englisch)
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...
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Klappentext zu „Problem-Based Learning: A Didactic Strategy in the Teaching of System Simulation “
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.
Inhaltsverzeichnis zu „Problem-Based Learning: A Didactic Strategy in the Teaching of System Simulation “
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.Bibliographische Angaben
- Autoren: Lorenzo Cevallos-Torres , Miguel Botto-Tobar
- 2020, 1st ed. 2019, XVI, 132 Seiten, 22 farbige Abbildungen, Maße: 16 x 23,7 cm, Kartoniert (TB), Englisch
- Verlag: Springer, Berlin
- ISBN-10: 3030133958
- ISBN-13: 9783030133955
Sprache:
Englisch
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