000 | 01562nam a2200253Ia 4500 | ||
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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 |