Problem-Based Learning : A Didactic Strategy in the Teaching of System Simulation
Cevallos-Torres, Lorenzo
Problem-Based Learning : A Didactic Strategy in the Teaching of System Simulation by Lorenzo Cevallos-Torres, Miguel Botto-Tobar - 1 recurso en línea (XVI, 132 páginas) 43 ilustraciones,22 ilustraciones a color - Studies in Computational Intelligence 824 1860-949X Intelligent Technologies and Robotics (Springer-42732) .
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.
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.
9783030133931
10.1007/978-3-030-13393-1 doi
Aprendizaje activo
LB1027.42 / 2019 EB
Problem-Based Learning : A Didactic Strategy in the Teaching of System Simulation by Lorenzo Cevallos-Torres, Miguel Botto-Tobar - 1 recurso en línea (XVI, 132 páginas) 43 ilustraciones,22 ilustraciones a color - Studies in Computational Intelligence 824 1860-949X Intelligent Technologies and Robotics (Springer-42732) .
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.
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.
9783030133931
10.1007/978-3-030-13393-1 doi
Aprendizaje activo
LB1027.42 / 2019 EB