Problem-Based Learning: A Didactic Strategy in the Teaching of System Simulation
Tipo de material: TextoIdioma: Español Detalles de publicación: Springer, 2019Edición: (s.e)Descripción: 824 volumeISBN:- 978-3-030-13392-4
- 003.3 - Modelos y simulación por computador
Tipo de ítem | Biblioteca actual | Colección | Signatura | Estado | Notas | Fecha de vencimiento | Código de barras | |
---|---|---|---|---|---|---|---|---|
Libro | Facultad Ciencias Matemáticas y Física / Centro | Libros | 003.3 CevP (Navegar estantería(Abre debajo)) | Disponible | ajordan | BINGS1917 |
1.-The System Simulation and Their Learning Processes. 2.- Pseudo-Random Numbers and Congruential Methods. 3.- Logistical Behavior in the Use of Urban TRansport Using the Monte Carlo Simulation Method 4.- Project-Based Learning to Evaluate Probability Distributions in Medical Area 5.- Probabilistic Estimates in the Application of Inventory Models for Pershable Products in SMEs
2019
Problem-Based Learning: A Didactic Strategy in the Teaching of System Simulation.- Describes and outlines the theoretical foundations of system simulation in teaching, and as 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.
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