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Embedding numerical methods and MATLAB programming in a fluid mechanics course for undergraduates in engineering technology.

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Title: Embedding numerical methods and MATLAB programming in a fluid mechanics course for undergraduates in engineering technology.
Authors: Jin, Congrui1 (AUTHOR) jincongrui@tamu.edu
Source: International Journal of Mechanical Engineering Education. Jul2025, Vol. 53 Issue 3, p564-580. 17p.
Subjects: Fluid mechanics, Numerical differentiation, Power (Mechanics), Analytical skills, Numerical integration
Abstract: Undergraduate students in engineering technology are typically not required to take any courses on numerical methods or computational techniques and thus have little or no knowledge of many basic numerical approaches commonly used in engineering disciplines, such as root finding, curve fitting, numerical integration, and numerical differentiation. In addition, they are only required to take one introductory level programming course and thus usually experience difficulty when working on course projects involving extensive programming. However, the industry is demanding different skillsets than the ones that were expected just a decade ago. Numerical and programming skills are becoming increasingly important. In this case study, the effectiveness of embedding numerical methods and MATLAB programming in MMET 303 Fluid Mechanics and Power, a four-credit junior-level required course offered every semester for undergraduates at the Department of Engineering Technology and Industrial Distribution at Texas A&M University, was assessed. A series of learning modules were purposefully designed and implemented as a trial test in the classes offered in the semester of Fall 2023. Instructor's observation, submitted assignments, and survey results were analyzed. The results suggested that embedding numerical methods and associated MATLAB programming into a required course enhanced students' analytical skills of tackling practical problems, helping them become better prepared as they move on into the industrial companies or the graduate schools. [ABSTRACT FROM AUTHOR]
Copyright of International Journal of Mechanical Engineering Education is the property of Sage Publications Inc. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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  Data: <searchLink fieldCode="DE" term="%22Fluid+mechanics%22">Fluid mechanics</searchLink><br /><searchLink fieldCode="DE" term="%22Numerical+differentiation%22">Numerical differentiation</searchLink><br /><searchLink fieldCode="DE" term="%22Power+%28Mechanics%29%22">Power (Mechanics)</searchLink><br /><searchLink fieldCode="DE" term="%22Analytical+skills%22">Analytical skills</searchLink><br /><searchLink fieldCode="DE" term="%22Numerical+integration%22">Numerical integration</searchLink>
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  Data: Undergraduate students in engineering technology are typically not required to take any courses on numerical methods or computational techniques and thus have little or no knowledge of many basic numerical approaches commonly used in engineering disciplines, such as root finding, curve fitting, numerical integration, and numerical differentiation. In addition, they are only required to take one introductory level programming course and thus usually experience difficulty when working on course projects involving extensive programming. However, the industry is demanding different skillsets than the ones that were expected just a decade ago. Numerical and programming skills are becoming increasingly important. In this case study, the effectiveness of embedding numerical methods and MATLAB programming in MMET 303 Fluid Mechanics and Power, a four-credit junior-level required course offered every semester for undergraduates at the Department of Engineering Technology and Industrial Distribution at Texas A&M University, was assessed. A series of learning modules were purposefully designed and implemented as a trial test in the classes offered in the semester of Fall 2023. Instructor's observation, submitted assignments, and survey results were analyzed. The results suggested that embedding numerical methods and associated MATLAB programming into a required course enhanced students' analytical skills of tackling practical problems, helping them become better prepared as they move on into the industrial companies or the graduate schools. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of International Journal of Mechanical Engineering Education is the property of Sage Publications Inc. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Text: English
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      – SubjectFull: Fluid mechanics
        Type: general
      – SubjectFull: Numerical differentiation
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      – SubjectFull: Power (Mechanics)
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      – SubjectFull: Analytical skills
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              Text: Jul2025
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