Problem-Based Learning: A Didactic Strategy in the Teaching of System Simulation: Studies in Computational Intelligence, cartea 824
Autor Lorenzo Cevallos-Torres, Miguel Botto-Tobaren Limba Engleză Hardback – 21 mar 2019
Toate formatele și edițiile | Preț | Express |
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Paperback (1) | 614.08 lei 6-8 săpt. | |
Springer International Publishing – 14 aug 2020 | 614.08 lei 6-8 săpt. | |
Hardback (1) | 620.11 lei 6-8 săpt. | |
Springer International Publishing – 21 mar 2019 | 620.11 lei 6-8 săpt. |
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Specificații
ISBN-13: 9783030133924
ISBN-10: 3030133923
Pagini: 129
Ilustrații: XVI, 132 p. 43 illus., 22 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.39 kg
Ediția:1st ed. 2019
Editura: Springer International Publishing
Colecția Springer
Seria Studies in Computational Intelligence
Locul publicării:Cham, Switzerland
ISBN-10: 3030133923
Pagini: 129
Ilustrații: XVI, 132 p. 43 illus., 22 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.39 kg
Ediția:1st ed. 2019
Editura: Springer International Publishing
Colecția Springer
Seria Studies in Computational Intelligence
Locul publicării:Cham, Switzerland
Cuprins
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.
Textul de pe ultima copertă
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.
Caracteristici
A general, descriptive and didactic introduction on the use of simulation systems in probability distributions Helps the reader to solve real-life problems Describes how the different simulation methods can be used to analyze phenomena and problems