Please use this identifier to cite or link to this item: http://hdl.handle.net/20.500.12494/32791
Exportar a:
Full metadata record
DC FieldValueLanguage
dc.coverage.temporalVol. 13 N. 6es
dc.creatorCardona Guio, Juan Pablo-
dc.creatorLeal Gomez, John Jairo-
dc.creatorUstariz Ustariz, Jose Eduardo-
dc.date.accessioned2021-01-22T20:52:30Z-
dc.date.available2021-01-22T20:52:30Z-
dc.date.issued2020-05-12-
dc.identifier.issn07185006es
dc.identifier.urihttp://dx.doi.org/10.4067/S0718-50062020000600105es
dc.identifier.urihttp://hdl.handle.net/20.500.12494/32791-
dc.descriptionEn este estudio se presentan actividades desarrolladas en cursos de ingeniería con el objetivo de que los estudiantes utilicen procesos de modelado matemático para la comprensión de fenómenos físicos utilizando sistemas reales. La metodología del modelado en el aula se hizo siguiendo la propuesta de Kai Velten para ingenieros Se planteó el análisis del drenado de tanques con sección transversal variable en dos cursos distintos: 1) un curso en ecuaciones diferenciales ordinarias donde se establece una ecuación diferencial que modelara el drenaje, modelo de caja blanca (mecanicistas) basados en principios físicos y 2) un curso en medición de variables físicas donde se utiliza un ajuste polinómico de segundo orden por mínimos cuadrados, o modelo de caja negra (empírico). Se concluye que debido a la necesidad actual de solucionar problemas reales de ingeniería, se deben incluir técnicas de modelado matemático en los cursos de pregrado para que los estudiantes se habitúen a analizar problemáticas desde ésta perspectiva.es
dc.description.abstractThis research study presents activities on mathematical modeling processes that were developed in engineering courses to improve student understanding of physical phenomena using real systems. The modeling methodology performed in the classroom followed the proposal by Kai Velten for engineers. The analysis of tank drainage with cross-section variables were presented in two different courses: 1) a differential equations course where students established a differential equation modeling drainage by using a white box model (mechanistic) based on physical principles, and 2) a physical variables measuring course in which students used a second order polynomial adjustment by least squares or a black box model (empirical). Given the current need in engineering for solving real problems, it is concluded that mathematical modeling techniques must be included in undergraduate courses, such that students start getting accustomed to analyzing problems from this perspective.es
dc.format.extent105 - 118 p.es
dc.publisherUniversidad Cooperativa de Colombia, Facultad de Ingenierías, Ingeniería Electrónica, Bogotáes
dc.relation.ispartofFormación Universitariaes
dc.relation.isversionofhttps://scielo.conicyt.cl/pdf/formuniv/v13n6/0718-5006-formuniv-13-06-105.pdfes
dc.subjectModelado matemáticoes
dc.subjectSimulaciónes
dc.subjectCaja negra y blancaes
dc.subjectEducaciónes
dc.subjectIngenieríaes
dc.subject.otherMathematical modelinges
dc.subject.otherSimulationes
dc.subject.otherBlack and white boxes
dc.subject.otherEngineering educationes
dc.titleModelado matemático de caja blanca y negra en educación en ingenieríaes
dc.typeArtículoes
dc.rights.licenseAtribución – No comerciales
dc.publisher.departmentBogotáes
dc.publisher.programIngeniería Electrónicaes
dc.creator.mailjuan.cardonag@campusucc.edu.coes
dc.identifier.bibliographicCitationCardona, Juan P., Leal, John J., y Ustariz, José E.. (2020). Mathematical modeling of white and black box in engineering education. Formación universitaria, 13(6), 105-118. https://dx.doi.org/10.4067/S0718-50062020000600105es
dc.rights.accessRightsopenAccesses
dc.source.bibliographicCitationABET., Criteria for Accrediting Engineering Programs, ABET 415 N, Baltimore, USA (2017).es
dc.source.bibliographicCitationAlma, A.B., y García, M.L., Trabajos en Proyectos Como Herramienta Para Fortalecer las Habilidades Cognitivas en los Estudiantes, doi:10.4067/S0718-50062011000200004, Formación Universitaria, Vol. 4(2), 27-36 (2011).es
dc.source.bibliographicCitationAlpers, B., The Mathematical Modelling Competencies Required for Solving Engineering Statics Assignments. Mathematical Modelling and Applications: Crossing and Researching Boundaries in Mathematics Education, doi:10.1007/978-3-319-62968-1_16, Springer International Publishing, pp.189-199 (2017).es
dc.source.bibliographicCitationASIBEI., Competencias y Perfil del Ingeniero Iberoamericano, Formación de Profesores y Desarrollo Tecnológico e Innovación, 1a Ed, ARFO Editores e Impresores Ltda, Valparaiso, Chile (2016).es
dc.source.bibliographicCitationASEE., Transforming Undergraduate Education in Engineering Phase I: Synthesizing and Integrating Industry Perspectives, Report Arlington, USA (2013).es
dc.source.bibliographicCitationCasoli, P., Anthony, A. y Rigosi, M., Modeling of an Excavator System-Semi Empirical Hydraulic Pump Model. doi:10.4271/2011-01-2278, SAE International Journal of Commercial Vehicles. Sep 13;4(2011-01-2278):242-55 (2011).es
dc.source.bibliographicCitationCellier, F.E., Continuous System Modeling, 1a Ed.,3-17, Springer-Verlag, New York, USA (1991).es
dc.source.bibliographicCitationChevallard, Y., La transposición didáctica. Del Saber Sabio Al Saber Enseñado. Buenos Aires: Aiqué (1991).es
dc.source.bibliographicCitationCross, N., Engineering Design Methods: Strategies for Product Design. 3 a Ed.,1-15, John Wiley & Sons, The Atrium, England (1994).es
dc.source.bibliographicCitationEdwards, E. y Hamson, M, Guide to Mathematical Modelling, 1a Ed,1-9, Macmillan Education Ltd, Londres, Inglaterra (1989).es
dc.source.bibliographicCitationFeisel, L y Rosa, A.J, The Role of the Laboratory in Undergraduate Engineering Education, doi:10.1002/j.2168-9830. 2005.tb00833.x, Journal of Engineering Education. 94 (1),121-130 (2005).es
dc.source.bibliographicCitationFrejd, P., Bergsten, C., Mathematical Modelling As A Professional Task, doi:10.1007/s10649-015-9654-7, Educational studies in mathematics. Jan 1;91(1):11-35 (2015).es
dc.source.bibliographicCitationFritzson, P., Introduction to Modeling and Simulation of Technical and Physical Systems with Modelica, 2a Ed, 2-8, John Wiley & Sons, USA (2011).es
dc.source.bibliographicCitationGiraldo, A. y Pinilla, J. Simulación de Procesos de Negocios (BPSIM) Como Soporte Didáctico en el Aprendizaje de la Gestión de Procesos de Servicio, doi:10.4067/S0718-50062016000100011, Formación Universitaria Vol. 9(1), 99-108 (2016)es
dc.source.bibliographicCitationLeal, JJ., Cardona, JP., Agudelo, A., El Modelamiento Matemático Como Vía Idónea Para La Formación De Ingenieros, doi.org/10.14483/udistrital.jour.RC.2015.21.a9, Una reflexión pedagógica. Revista Científica. Jan 1;1(21):91-6 (2015)es
dc.source.bibliographicCitationLi, T., Mathematical Modeling Education is the Most Important Educational Interface Between Mathematics and Industry; Educational Interfaces Between Mathematics and Industry. New ICMI Study Series, doi:10.1007/978-3-319-02270-3_5, Springer, Cham, vol 16, pp 51-58, New York, USA (2013).es
dc.source.bibliographicCitationMagana, A., Modeling and Simulation in Engineering Education: A Learning Progression. doi:10.1061/(ASCE)EI.1943- 5541.0000338. Journal of Professional Issues in Engineering Education and Practice. 143. 1-19 (2017)es
dc.source.bibliographicCitationMcKenna, A., y Carberry, A. Characterizing the Role of Modeling in Innovation, International Journal of Engineering Education, ISSN:0949149X, 28(2), 263-269 (2012).es
dc.source.bibliographicCitationMEN., Resolución 2773 de 2003,1-3, Colombia, Bogotá (2003)es
dc.source.bibliographicCitationMendible, A. y Ortiz, J., Modelización Matemática en la Formación de Ingenieros. La Importancia del Contexto, Enseñanza de la Matemática, ISSN:314-338,16 (1),133-150 (2007)es
dc.source.bibliographicCitationMinsky, M., Mind and Models. Massachusetts Institute of Tecnology,1-5 (1965es
dc.source.bibliographicCitationNirmala, K., Modeling Tools for Environmental Engineers and Scientists,1aEd,1-9, CRC Press LLC, Washington, D.C, USA (2002).es
dc.source.bibliographicCitationNugroho, L., y Akmeliawati, R. Comparison Of Black-Grey-White Box Approach In System Identification Of A Flight Vehicle, doi :10.1088/1742-6596/1130/1/012024, JPhCS 1130, no. 1 (2018).es
dc.source.bibliographicCitationPreziosi, L., y Bellomo, L.N, Modelling, Mathematical Methods and Scientific Computation, 1 a Ed, CRC Press, Florida, USA (1994es
dc.source.bibliographicCitationShier, D.R., y Wallenius, K.T, Applied Mathematical Modeling a Multidisciplinary Approach, 1a Ed, 5-9, Chapman & Call/CRC, New York, USA (1999).es
dc.source.bibliographicCitationShiflet, A.B y Shiflet, W.G, Modeling and Simulation for the Sciences, 2a Ed.,1-20, Princeton University Press, New Jersey, USA (2014).es
dc.source.bibliographicCitationStadnicka, D., Litwin, P., y Antonelli, D., Human Factor In Intelligent Manufacturing Systems: Knowledge Acquisition And Motivation, doi:10.5937/fmet1904823S, FME Transactions. 47(1),823-830 (2019).es
dc.source.bibliographicCitationVan Can, H.J., Te Braake, H.A., y otros 3. Understanding And Applying The Extrapolation Properties Of Serial Gray‐Box Models, https://doi.org/10.1002/aic.690440507, AIChE journal. May;44(5):1071-89 (1998).es
dc.source.bibliographicCitationVelten, K., Mathematical Modeling and Simulation: Introduction for Scientists and Engineers, 1a Ed, 1-46, Verlag GmbH & Co. KGaA, Strauss GmbH, Morlenbach, Alemania (2009es
dc.source.bibliographicCitationVenkateswarlu, P., Establishing a Centre for Engineering Experimentation and Design Simulation: A Step Towards Restructuring Engineering Education in India, doi:10.1080/03043797.2016.1158794, European Journal of Engineering Education, Vol. 42(4),349-367 (2017).es
dc.source.bibliographicCitationWang, X.G., Zou, Z.J., y otros 2. W., System Identification Modeling Of Ship Manoeuvring Motion in 4 Degrees Of Freedom Based on Support Vector Machines, doi:10.1007/s13344-015-0036-9, China Ocean Engineering. Jun 1;29(4):519-34 (2015)es
dc.source.bibliographicCitationYilmaz, L., Reproducibility in M&S Research: Issues, Strategies and Implications for Model Development Environments, doi:10.1080/0952813x.2012.693842, Journal of Experimental and Theoretical Artificial Intelligence, 24(4), 457– 474 (2012).es
dc.source.bibliographicCitationZawojewski, J.S., Dux, D.H. y Bowman, K., Models and Modeling in Engineering Education Designing Experiences for All Students, 1a Ed.,1-6, Sense Publishers, Rotterdam, The Netherlands (2008).es
dc.source.bibliographicCitationZeigler, B.P., Muzy A. y Kofman, E., Theory of Modeling and Simulation, 3aEd.,29-35, Academic Press, San Diego, USA (2019)es
dc.source.bibliographicCitationZendehboudi, S., Rezaei, N., Lohi, A., Applications of Hybrid Models in Chemical, Petroleum, and Energy Systems: A Systematic Review, https://doi.org/10.1016/j.apenergy.2018.06.051, Applied energy. Oct 15;228:2539-66 (2018)es
dc.description.cvlachttps://scienti.minciencias.gov.co/cvlac/visualizador/generarCurriculoCv.do?cod_rh=0001258800es
dc.description.gruplachttps://scienti.minciencias.gov.co/gruplac/jsp/visualiza/visualizagr.jsp?nro=00000000005622es
dc.description.googlescholarhttps://scholar.google.com/scholar?hl=es&as_sdt=0%2C5&q=juan+pablo+cardona+guio&btnG=es
Appears in Collections:Ingeniería Electrónica

Files in This Item:
File Description SizeFormat 
articulopublicado.pdfArtículo629.9 kBAdobe PDFView/Open Request a copy


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.