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Ramírez-Sánchez, Camilo Andrés; Romo-Vázquez, Avenilde; Romo-Vázquez, Rebeca; Velásquez-Rojas, Diana – Educational Studies in Mathematics, 2023
The training of non-specialists, particularly engineers, in mathematics requires designing specific didactic proposals that make the importance of mathematics evident. One approach to creating such proposals consists in analyzing the mathematics used in authentic contexts of engineering research and then effectuating a didactic transposition to…
Descriptors: Undergraduate Students, Mathematics Instruction, Engineering, Teaching Methods
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Omar, Hanafy M. – European Journal of Engineering Education, 2018
Systems dynamics and automatic control is classified as one of the toughest courses in the college of engineering at Qassim University according to the statistical analysis of the final grades. This motivated us to think about a new approach to teach this course by extending the design term project to include experimental part beside the…
Descriptors: Foreign Countries, Engineering Education, Mathematical Models, Teaching Methods
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Domínguez-García, S.; García-Planas, M. I.; Taberna, J. – International Journal of Mathematical Education in Science and Technology, 2016
Technological advances require that basic science courses for engineering, including Linear Algebra, emphasize the development of mathematical strengths associated with modelling and interpretation of results, which are not limited only to calculus abilities. Based on this consideration, we have proposed a project-based learning, giving a dynamic…
Descriptors: Algebra, Mathematics Instruction, Mathematical Models, Engineering
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Kartal, Ozgul; Dunya, Beyza Aksu; Diefes-Dux, Heidi A.; Zawojewski, Judith S. – International Journal of Research in Education and Science, 2016
Critical to many science, technology, engineering, and mathematics (STEM) career paths is mathematical modeling--specifically, the creation and adaptation of mathematical models to solve problems in complex settings. Conventional standardized measures of mathematics achievement are not structured to directly assess this type of mathematical…
Descriptors: Mathematical Models, STEM Education, Standardized Tests, Mathematics Achievement
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Roubal, J.; Husek, P.; Stecha, J. – IEEE Transactions on Education, 2010
Linearization is a standard part of modeling and control design theory for a class of nonlinear dynamical systems taught in basic undergraduate courses. Although linearization is a straight-line methodology, it is not applied correctly by many students since they often forget to keep the operating point in mind. This paper explains the topic and…
Descriptors: Foreign Countries, Undergraduate Study, Engineering Technology, Engineering
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Laumakis, Paul J. – PRIMUS, 2008
This article details the application of an economic theory to the fiscal operation of a small engineering consulting firm. Nobel Prize-winning economist Wassily Leontief developed his general input-output economic theory in the mid-twentieth century to describe the flow of goods and services in the U.S. economy. We use one mathematical model that…
Descriptors: Mathematical Models, Algebra, Engineering, Economic Factors
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Kuehner, Joel P.; Mauch, Elizabeth K. – Teaching Mathematics and Its Applications: An International Journal of the IMA, 2006
A method for teaching problem-solving skills to mathematics students is presented. By subtly incorporating engineering applications, the students are simultaneously exposed to an effective outreach programme. The process includes offering a complex problem that challenges students' abilities. Before allowing the students to become frustrated, the…
Descriptors: Teaching Methods, Mathematical Models, Problem Solving, Engineering
Engel, Joseph H.; And Others – Engineering Education, 1976
Describes a combination of lectures, experiments, and analysis with the aid of remote computer terminals that helps the engineering student grasp the fundamentals and implications of a mathematical model applied to a particular job situation. (MLH)
Descriptors: Computer Assisted Instruction, Course Descriptions, Engineering, Engineering Education
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Oke, K. H.; Jones, A. L. – Physics Education, 1982
Mathematical modelling and an example used with undergraduates were presented in part 1 (v17, n5, p212-18, 1982). A second example, Power from Windmills, is provided which has considerable potential for development both as a model and as a series of modelling experiences of increasing difficulty for students with different backgrounds. (Author/JN)
Descriptors: College Science, Engineering, Engineering Education, Higher Education
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Oke, K. H.; Jones, A. L. – Physics Education, 1982
Describes the heating of a baby's milk bottle (an exercise in modelling) and the interaction between lecturer and students as they formulate the problem, produce a tentative solution and interpret the solution. (Author/JN)
Descriptors: College Science, Engineering, Engineering Education, Higher Education
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Ramkrishna, D. – Chemical Engineering Education, 1979
Described is a graduate level engineering course on functional analysis offered at Purdue University. The course restricts itself to linear problems, specifically analysis of linear operators on vector spaces. Key applications in the course demonstrating the utility of abstract formulations are presented. (BT)
Descriptors: Curriculum Development, Engineering, Engineering Education, Graduate Study
International Association for Development of the Information Society, 2012
The IADIS CELDA 2012 Conference intention was to address the main issues concerned with evolving learning processes and supporting pedagogies and applications in the digital age. There had been advances in both cognitive psychology and computing that have affected the educational arena. The convergence of these two disciplines is increasing at a…
Descriptors: Academic Achievement, Academic Persistence, Academic Support Services, Access to Computers