Botto-Tobar, Miguel <br/><br/>
Problem-Based Learning: A Didactic Strategy in the Teaching of System Simulation 

 - (s.e) 
 -  Springer,   2019 
 - 824 volume 
<br/><br/>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 
<br/><br/>2019 
<br/><br/> 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. 
<br/><br/><label>ISBN: </label>978-3-030-13392-4 
<br/><br/><label>Subjects--Topical Terms: </label><br/>Sistemas
<br/><br/><label>Dewey Class. No.: </label>003.3 - Modelos y simulación por computador