000 01562nam a2200253Ia 4500
001 UGUAYAQUIL105011
007 ta
008 210719s2019||||xx |||||||||||||| ||und||
020 _a978-3-030-13392-4
040 _aUGUAYAQUIL
041 _aspa
082 _a003.3 - Modelos y simulaciĆ³n por computador
100 _aBotto-Tobar, Miguel
_eautor
245 0 _aProblem-Based Learning: A Didactic Strategy in the Teaching of System Simulation
250 _a(s.e)
260 _a
_bSpringer,
_c2019
300 _a824 volume
505 _a1.-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
513 _b2019
520 _aProblem-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.
650 _aSistemas
_958543
700 _aCevallos Torres, Lorenzo Jovanny
_eautor
_9146567
942 _c1
_e2019-12-16
_zajordan
999 _c173844
_d173844