Best practices in syllabus design and course planning applied to mechanical engineering subjects

Authors

DOI:

https://doi.org/10.4995/muse.2022.18230

Keywords:

Syllabus, transversal competences, effective teaching-learning process, effective teaching, learning targets, student evaluation elements, alumni motivation

Abstract

The syllabus of a subject, that is part of the curriculum of a bachelor’s or master's degree, must provide the student with information about all the fundamental aspects of the subject. It is a piece of written document or multimedia file encompassing all topics and concepts that will be covered in a certain subject. The objective of the syllabus is to put the subject and the information related to it in context by means of clear, organized, concise and summarized style. It should not be limited only to the subject matter. Instead, it is advisable to provide basic course information such as the number of credits; course content; transversal competences, skills and attitudes that are relevant for access to work and further learning; faculty staff; assessment and evaluation elements; calendar; venues, and facilities location; lesson plans and bibliography. Moreover, information about the activities to be carried out and whether they are done individually or in groups. Another important point is the evaluation of students and how to assess their achievements in terms of the level of acquisition of knowledge and skills planned in the subject. It helps students to meet the desired subject objectives and to motivate them. In short, it will lay the foundations so that at least contents, methods and techniques of the discipline that supports the subject can be taught and so that students can acquire the knowledge and competences committed.

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Author Biographies

Francisco Rubio, Universitat Politècnica de València

Instituto Universitario de Ingeniería Mecánica y Biomecánica (I2MB)

Carlos Llopis-Albert, Universitat Politècnica de València

Instituto Universitario de Ingeniería Mecánica y Biomecánica (I2MB)

References

Jones, S.K., Noyd, R.K., Sagendorf, K.S. (2015). Building a Pathway to Student Learning: A How-To Guide to Course Design. Stylus Publishing, LLC.

Llopis-Albert, C., Rubio, F., Valero, F. (2015). Improving productivity using a multi-objective optimization of robotic trajectory planning. Journal of Business Research, 68 (7), 1429-1431. https://doi.org/10.1016/j.jbusres.2015.01.027

Llopis-Albert, C., Rubio, F., Valero, F. (2018). Optimization approaches for robot trajectory planning. Multidisciplinary Journal for Education, Social and Technological Sciences, 5(1), 1-16. https://doi.org/10.4995/muse.2018.9867

Llopis-Albert, C., Rubio, F., Valero, F. (2019). Fuzzy-set qualitative comparative analysis applied to the design of a network flow of automated guided vehicles for improving business productivity. Journal of Business Research, 101, 737-742. https://doi.org/10.1016/j.jbusres.2018.12.076

Llopis-Albert, C., Rubio, F. (2021). Methodology to evaluate transversal competences in the master's degree in industrial engineering based on a system of rubrics and indicators. Multidisciplinary Journal for Education, Social and Technological Sciences 8(1), 30-44. https://doi.org/10.4995/muse.2021.15244

Llopis-Albert, C., Palacios-Marqués, D., Simón-Moya, V. (2021). Fuzzy set qualitative comparative analysis (fsQCA) applied to the adaptation of the automobile industry to meet the emission standards of climate change policies via the deployment of electric vehicles (EVs). Technological Forecasting and Social Change, 169, 120843. https://doi.org/10.1016/j.techfore.2021.120843

Llopis-Albert, C., Rubio, F., Zeng, S., Grima-Olmedo, J., Grima-Olmedo, C. (2022). The Sustainable Development Goals (SDGs) applied to Mechanical Engineering. Multidisciplinary Journal for Education, Social and Technological Sciences 9(1), 59-70. https://doi.org/10.4995/muse.2022.17269

Millis, B.J. (2009). The Syllabus Toolbox: A Handbook for Constructing a Learning- Centered Syllabus, University of Texas, San Antonio.

Nunan, D. (1988). Syllabus design. Oxford: Oxford University Press. ISBN: 0194371395, 177 pages.

Robb, M.S. (2012). The Learner-Centered Syllabus. The Journal of Continuing Education in Nursing, 43(11), 489-490. https://doi.org/10.3928/00220124-20121024-26

Rubio, F., Llopis-Albert, C., Valero, F., Suñer, J.L. (2015). Assembly Line Productivity Assessment by Comparing Optimization-Simulation Algorithms of Trajectory Planning for Industrial Robots. Mathematical Problems in Engineering, Volume 2015, Article ID 931048. https://doi.org/10.1155/2015/931048

Rubio, F., Llopis-Albert, C. (2019). Viability of using wind turbines for electricity generation in electric vehicles. Multidisciplinary Journal for Education, Social and Technological Sciences, 6(1), 115-126. https://doi.org/10.4995/muse.2019.11743

Rubio, F., Llopis-Albert, C., Valero, F. (2021). Multi-objective optimization of costs and energy efficiency associated with autonomous industrial processes for sustainable growth. Technological Forecasting and Social Change, 173, 121115. https://doi.org/10.1016/j.techfore.2021.121115

Slattery, J.M., Carlson, J.F. (2005). Preparing An Effective Syllabus: Current Best Practices. College Teaching 53(4), 159-164. https://doi.org/10.3200/CTCH.53.4.159-164

Tiana, A., Moya, J., Luengo, F. (2011). Implementing key competences in basic education: reflections on curriculum design and development in Spain. European Journal of Education 46(3), 307-322. https://doi.org/10.1111/j.1465-3435.2011.01482.x

Tokatli, A.M., Kesli, Y. (2009). Syllabus:how much does it contribute to the effective communication with the students? Procedia Social and Behavioral Sciences 1, 1491-1494. https://doi.org/10.1016/j.sbspro.2009.01.263

UPV (2020). Proyecto institucional competencias transversales. Universitat Politècnica de València (UPV). Valencia. Spain. https://www.upv.es/entidades/ICE/info/Proyecto_Institucional_CT.pdf

Valera, Á., Valero F., Vallés M., Besa A., Mata V., Llopis-Albert C. (2021). Navigation of autonomous light vehicles using an optimal trajectory planning algorithm. Sustainability, 2021; 13(3):1233. https://doi.org/10.3390/su13031233

Valero, F., Rubio, F., Llopis-Albert, C., Cuadrado, J.I. (2017). Influence of the Friction Coefficient on the Trajectory Performance for a Car-Like Robot. Mathematical Problems in Engineering, 9 pages. Article ID 4562647. https://doi.org/10.1155/2017/4562647

Valero, F., Rubio, F., Besa, A.J., Llopis-Albert, C. (2019). Efficient trajectory of a car-like mobile robot. Industrial Robot: the international journal of robotics research and application, 46(2), 211-222. https://doi.org/10.1108/IR-10-2018-0214

Valero, F., Rubio, F., Llopis-Albert, C. (2019). Assessment of the Effect of Energy Consumption on Trajectory Improvement for a Car-like Robot. Robotica, 37(11), 1998-2009. https://doi.org/10.1017/S0263574719000407

Zeng, S., Zhang, Na, Zhang, C., Su, W., Llopis-Albert, C. (2022) .Social network multiple-criteria decision-making approach for evaluating unmanned ground delivery vehicles under the Pythagorean fuzzy environment. Technological Forecasting and Social Change, 175, 121414. https://doi.org/10.1016/j.techfore.2021.121414

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Published

2022-10-04

How to Cite

Rubio, F., Llopis-Albert, C., & Zeng, S. (2022). Best practices in syllabus design and course planning applied to mechanical engineering subjects. Multidisciplinary Journal for Education, Social and Technological Sciences, 9(2), 123–137. https://doi.org/10.4995/muse.2022.18230

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Articles