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

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

Buch | Softcover

XVI, 132 Seiten

2020
Springer International Publishing (Verlag)
978-3-030-13395-5 (ISBN)

Infos

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.

Inhalt

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.

Produkt-Details

• Erscheinungsdatum: 07.07.2020
• 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: 238 g
• Themenwelt: Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik
• Themenwelt: Technik
• Schlagworte: Computational Intelligence • Problem-Based Learning • Simulation-based Problem Solving • Simulation in Probability Distributions • Simulation Software
• ISBN-10: 3-030-13395-8 / 3030133958
• ISBN-13: 978-3-030-13395-5 / 9783030133955
• Zustand: Neuware