scholarly journals Modelación matemática en un curso de pregrado de EDO

2021 ◽  
Vol 12 (1) ◽  
pp. 28-31
Author(s):  
Norma Louise Miller
Keyword(s):  
United States ◽  
West Point ◽  
Educación Superior ◽  
United States Military Academy ◽  
United States Military ◽  
Military Academy ◽  
Educacion Superior

Las ecuaciones diferenciales ordinarias (EDO) constituyen una parte significativa de cualquier currículo de ingeniería o CTIM. No obstante, los estudiantes a menudo cuestionan la relevancia para su vida profesional de las matemáticas que aprenden en los cursos de EDO. En buena medida esto se debe a que pocas veces se establecen nexos reales y creíbles entre los conceptos estudiados en clase y fenómenos y situaciones de la vida real. Por otra parte, organizaciones vinculadas a la formación de profesionales de la ingeniería, como la Sociedad Europea de Formación de Ingenieros (SEFI), la Asociación Matemática de América (MAA), la Sociedad Matemática Americana (AMS), y la Sociedad para Matemática Aplicada e Industrial (SIAM) por décadas han destacado la capacidad de modelación como una competencia esencial a desarrollar en los estudiantes de ingeniería y carreras afines, y han hecho un llamado para incluir la modelación en los cursos básicos de matemáticas a nivel de pregrado. SIMIODE es una comunidad abierta de enseñantes y aprendientes para enseñar y aprender sobre ecuaciones diferenciales a nivel de pregrado fundada en el 2013 por Brian Winkel, profesor emérito del United States Military Academy, West Point. La propuesta pedagógica de SIMIODE, denominada modelado primero, ya empieza a conocerse y ponerse práctica en algunas universidades latinoamericanas, aunque todavía no en Panamá. Este artículo da cuenta de un taller de modelación matemática realizado por el Dr. Winkel en la UTP en febrero de 2020.  El taller estaba dirigido a docentes de la UTP que regularmente imparten el curso de ecuaciones diferenciales ordinarias, con el objetivo de motivarlos a incorporar la modelación matemática en su quehacer docente. Participaron también profesores de matemáticas de otras instituciones de educación superior, docentes de secundaria, así como estudiantes de posgrado que requerían afinar sus habilidades de modelación matemática para sus trabajos de investigación. Posteriormente, varios docentes implementaron escenarios de modelación con sus estudiantes durante el primer semestre del año académico 2020-2021. Se describe brevemente la respuesta de los estudiantes a esta innovación pedagógica.

scholarly journals Foreword by Guest Editor LTC James H. Schreiner, PhD, PMP, CPEM

2019 ◽  
Vol 7 (1) ◽  
pp. 1
Author(s):  
James Schreiner
Keyword(s):  
Artificial Intelligence ◽  
United States ◽  
Text Mining ◽  
Decision Analysis ◽  
Modeling And Simulation ◽  
Systems Engineering ◽  
West Point ◽  
United States Military Academy ◽  
United States Military ◽  
Military Academy

This special issue of the Industrial and Systems Engineering Review highlights top papers from the 2019 annual General Donald R. Keith memorial capstone conference held at the United States Military Academy in West Point, NY. Following careful review of 48 academic paper submissions, eight were selected for publication in this journal. Each paper incorporated features of systems or industrial engineering and presented detailed and reflective analysis in the topic. Three general bodies of knowledge in the papers include: systems engineering and decision analysis, modeling and simulation, and artificial intelligence Systems Engineering and Decision Analysis topics included three unique contributions. The work of Flanick et al. examined adaptability in Hyper-Enabled Operator systems and recommended how each technology might address capability gaps for special operations forces. Wilby et al. employed a scalable predictive statistical model for decision support to significant work package prioritization for U.S. Army Corps of Engineers nationally significant inland waterway infrastructure. Contributions by Shi et al. employed value focused thinking and a robust cost model to enable decision quality for PM Cargo CH-47 technologies. Modeling and Simulation works also included three unique contributions. Recognized as ‘best paper’ at the 2019 conference, work by Cooley et al. developed a senior leader engagement model using sparse K-means clustering techniques to greatly improve the planning and execution for AFRICOM leadership. Lovell et al. employed robust military simulation models to evaluate and propose solutions Soldier Search and Target Acquisition protocols. Work by Drake et al. employed vehicle Routing Problem simulation software to enhance United Health Services material handling challenges across NY State thus enabling quality optimization choices. Finally, two unique contributions in artificial intelligence examined key text mining technologies. Shi et al. employed text mining and Latent Dirichlet Allocation modeling to derive insights through trends and clustering narratives on U.S. Army Officer Evaluation Reports and describe success. Similarly, text mining techniques by Senft et al. helped to examine and show similarities in success narratives across genders thus providing valuable insights for promotion boards. Congratulation to the 2019 undergraduate scholars and all authors who provided valuable contributions through thoughtful and steadfast intellectual efforts to their fields of study! LTC James H. Schreiner, PhD, PMP, CPEM Director, Operations Research Center Department of Systems Engineering United States Military Academy Mahan Hall, Bldg 752, Room 305 West Point, NY 10996, USA [email protected]

scholarly journals Foreword by Guest Editors COL Paul F. Evangelista & LTC James H. Schreiner

2022 ◽  
Vol 9 (2) ◽  
pp. 75
Author(s):  
Paul Evangelista ◽  
James Schreiner
Keyword(s):  
United States ◽  
Decision Support ◽  
Systems Engineering ◽  
Fuzzy Cognitive Maps ◽  
Ice Hockey ◽  
West Point ◽  
United States Military Academy ◽  
United States Military ◽  
Special Issue ◽  
Military Academy

This special issue of the Industrial and Systems Engineering Review once again showcases the top papers from the annual General Donald R. Keith memorial capstone conference at the United States Military Academy in West Point, NY. Despite continued COVID restrictions, the truly innovative conference included a mix of in-person presentations with over 50 live and remote judges from across academia and industry to create a high-quality event highlighting the undergraduate student team research. After consideration of over 50 academic papers, the eight listed in this issue were selected for publication in this special issue of the journal. The topics discussed are broad and diverse, however decision support within an uncertain and complex environment emerges as a theme. Much of the work completed by industrial and systems engineers focuses on getting decisions right by means of the tools of our trade. The suite of tools surveyed within these papers represents several state-of-the-art methods as well as time-proven techniques within a unique application domain. Military applications dominated several of the papers. Downey et al. studied massive datasets that represent military operational behaviors in training, seeking to better understand military operational capabilities. Ungrady and Dabkowski tackled the complexities of US Army recruiting through the application of fuzzy cognitive maps, searching for causation. Middlebrooks et al. studied military acquisition system decisions, applying system dynamics modeling. Process improvement represented another sub-theme, with continued focus on decision support. Enos et al. applied lean six sigma techniques to manufacturing processes. Katz et al. explored biomedical machine maintenance scheduling, seeking optimal solutions to a complex scheduling task. Kaloudelis et al. developed a pandemic decision support process for universities. Analytics and machine learning techniques applied to the information domain dominated the third sub-theme. Krueger and Enos developed analytics to support ice hockey strategies. Manzonelli et al. applied natural language processing against information operations, seeking to automate the examination of incredible amounts of narrative data that seek to shape beliefs and attitudes. Please join me in congratulating our authors, especially the young undergraduate scholars that provided the primary intellectual efforts that created the contents of this issue. COL Paul F. Evangelista Chief Data Officer United States Military Academy Taylor Hall, 5th Floor West Point, NY 10996 Email: [email protected] James H. Schreiner, PhD, PMP, CPEM, F.ASEM LTC(P), U.S. Army Associate Professor USMA Academy Professor Director, Engineering Management (EM) Program Department of Systems Engineering Head Officer Representative, Army Softball United States Military Academy Room 420 Mahan Hall West Point, NY 10996 Email: [email protected]

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