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

Lorenzo Cevallos-Torres, Miguel Botto-Tobar (Autoren)

Buch | Hardcover

XVI, 132 Seiten

2019 | 1st ed. 2019
Springer International Publishing (Verlag)
978-3-030-13392-4 (ISBN)

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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.

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.

Erscheinungsdatum	23.03.2019
Reihe/Serie	Studies in Computational Intelligence
Zusatzinfo	XVI, 132 p. 43 illus., 22 illus. in color.
Verlagsort	Cham
Sprache	englisch
Maße	155 x 235 mm
Gewicht	379 g
Themenwelt	Schulbuch / Wörterbuch ► Unterrichtsvorbereitung ► Unterrichts-Handreichungen
	Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik
	Sozialwissenschaften ► Pädagogik
	Technik
Schlagworte	Computational Intelligence • Problem-Based Learning • Simulation-based Problem Solving • Simulation in Probability Distributions • Simulation Software
ISBN-10	3-030-13392-3 / 3030133923
ISBN-13	978-3-030-13392-4 / 9783030133924
Zustand	Neuware