Project-Oriented and Problem-Based Learning:A Mechatronic Curriculum

Author(s):  
Michael Rygaard Hansen ◽  
Torben Ole Andersen

Mechatronics engineering is an emerging technology. New applications where a mechatronic approach is needed are added continuously. The demands to the education of engineers in this field are also increasing. Basically the challenge is to increase the content of the curriculum within usual study time. This paper presents a complete curriculum at Aalborg University based on problem-oriented and project-based learning from day one. This teaching approach has proven to be very well suited for mechatronics engineering as it provides the required holistic view of the multidisciplinary design process in a natural way. The trend and application of mechatronics engineering and research are illustrated followed up by a discussion on how problem-oriented and project-based learning are implemented in Aalborg with a number of project examples.

Author(s):  
Dongqin Li ◽  
Yifeng Guan ◽  
Qingfeng Wang ◽  
Zhitong Chen

The design of ship is related to several disciplines such as hydrostatic, resistance, propulsion and economic. The traditional design process of ship only involves independent design optimization within each discipline. With such an approach, there is no guarantee to achieve the optimum design. And at the same time improving the efficiency of ship optimization is also crucial for modem ship design. In this paper, an introduction of both the traditional ship design process and the fundamentals of Multidisciplinary Design Optimization (MDO) theory are presented and a comparison between the two methods is carried out. As one of the most frequently applied MDO methods, Collaborative Optimization (CO) promotes autonomy of disciplines while providing a coordinating mechanism guaranteeing progress toward an optimum and maintaining interdisciplinary compatibility. However there are some difficulties in applying the conventional CO method, such as difficulties in choosing an initial point and tremendous computational requirements. For the purpose of overcoming these problems, Design Of Experiment (DOE) and a new support vector regression algorithm are applied to CO to construct statistical approximation model in this paper. The support vector regression algorithm approximates the optimization model and is updated during the optimization process to improve accuracy. It is shown by examples that the computing efficiency and robustness of this CO method are higher than with the conventional CO method. Then this new Collaborative Optimization (CO) method using approximate technology is discussed in detail and applied in ship design which considers hydrostatic, propulsion, weight and volume, performance and cost. It indicates that CO method combined with approximate technology can effectively solve complex engineering design optimization problem. Finally, some suggestions on the future improvements are proposed.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Michael S. Rugh ◽  
Donald J. Beyette ◽  
Mary Margaret Capraro ◽  
Robert M. Capraro

Purpose The purpose of this study is to examine a week-long science, technology, engineering and mathematics (STEM) project-based learning (PBL) activity that integrates a new educational technology and the engineering design process to teach middle and high school students the concepts involved in rotational physics. The technology and teaching method described in this paper can be applied to a wide variety of STEM content areas. Design/methodology/approach As an educational technology, the dynamic and interactive mathematical expressions (DIME) map system automatically generates an interactive, connected concept map of mathematically based concepts extracted from a portable document format textbook chapter. Over five days, students used DIME maps to engage in meaningful self-guided learning within the engineering design process and STEM PBL. Findings Using DIME maps within a STEM PBL activity, students explored the physics behind spinning objects, proposed multiple creative designs and built a variety of spinners to meet specified criteria and constraints. Practical implications STEM teachers can use DIME maps and STEM PBL to support their students in making connections between what they learn in the classroom and real-world scenarios. Social implications For any classroom with computers, tablets or phones and an internet connection, DIME maps are an accessible educational technology that provides an alternative representation of knowledge for learners who are underserved by traditional methods of instruction. Originality/value For STEM teachers and education researchers, the activity described in this paper uses advances in technology (DIME maps and slow-motion video capture on cell phones) and pedagogy (STEM PBL and the engineering design process) to enable students to engage in meaningful learning.


2016 ◽  
Vol 88 (2) ◽  
pp. 303-310 ◽  
Author(s):  
Tobias Bach ◽  
Tanja Führer ◽  
Christian Willberg ◽  
Sascha Dähne

InterConf ◽  
2021 ◽  
pp. 47-55
Author(s):  
Mykhailo Kalenyk

The article shows that in the design process students are required not only to identify but also to substantiate certain essential features of the content component of the school course of physics. Therefore, forming a holistic view of the components, you can limit yourself to a system of questions that play the role of cognitive tasks, solving which in small groups, students get one or more essential features of the component. The most rational ways of formation and use in the course of training of the generalized systems of independent works of the pupils directed on development of their creative activity, independence, thinking are specified.


Author(s):  
Pascal Prado ◽  
Yulia Panchenko ◽  
Jean-Yves Tre´panier ◽  
Christophe Tribes

Preliminary Multidisciplinary Design Optimization (PMDO) project addresses the development and implementation of the Multidisciplinary Design Optimization (MDO) methodology in the Concept/Preliminary stages of the gas turbine design process. These initial phases encompass a wide range of coupled engineering disciplines. The PMDO System is a software tool intended to integrate existing design and analysis tools, decompose coupled multidisciplinary problems and, therefore, allow optimizers to speed-up preliminary engine design process. The current paper is a brief presentation of the specifications for the PMDO System as well as a description of the prototype being developed and evaluated. The current assumed e xible architecture is based on three software components that can be installed on different computers: a Java/XML MultiServer, a Java Graphical User Interface and a commercial optimization software.


Author(s):  
Mohamed Gharib ◽  
Tala Katbeh ◽  
G. Benjamin Cieslinski ◽  
Brady Creel

Abstract Pre-college project-based learning programs are essential means to increase the students’ interest toward STEM (science, technology, engineering, and mathematics) disciplines and careers. Engineering-based projects have shown significant impact on the students’ interests. Therefore, developing countries are investing strategically in their emphasis to attract students to careers in STEM fields, specifically engineering and medicine. That resulted in a steady expansion of their educational pipeline in STEM; and while that emphasis remains, there is a new and urgent need for expertise in agriculture, environmental science, life sciences and sustainability to support the agriculture industry, which is working to secure independent sources of food for their population. New interventions must be devised to stimulate broader interest in STEM fields while also increasing students’ academic readiness for advanced studies in those areas. To target the requirement of increasing people’s competencies in STEM fields, various programs have been created and designed to inspire and broaden students’ inquisitiveness toward STEM. This paper presents an integrated science-engineering program, called Qatar Invents, designed to support and enhance students’ learning of science concepts while also increasing students’ understanding of global challenges in food and water security. This goes with close connection to the desire to increase in the domestic production of agricultural resources in developing countries in recent years. Qatar Invents would engage students into learning and applying fundamental engineering skills onto relatable real-world issues: namely, in the design of hydroponics systems. Qatar Invents challenges students to develop critical thinking and problem solving skills in solving modern problems through the use of the engineering design process. With hands-on challenges, modeling, and communication training, students are motivated to tackle problems related to food security where they create hydroponics projects. Qatar Invents’ learning objectives included: teamwork, using proper toolbox skills, understanding what is engineering, the process of brainstorming, creating successful innovative designs, building prototypes, and developing presentation skills. Throughout this program, the participants were equipped with hands-on knowledge and critical thinking skills that helped them achieve their objectives. Utilizing the engineering design process, the students worked in small teams to brainstorm ideas and create inventions. The topics covered during the program included the importance of an engineering notebook and documentation, principals of engineering graphics, basics of agricultural science, foundations of hydroponics, the brainstorming practice, generating a decision matrix, proof of concept, and pitching ideas. At the end of the program, the students came up with novel solutions to serious problems wherein unique hydroponics projects were produced and presented to a panel of experts. This program attempts to build bridges between developing countries’ STEM education pipeline and the new demand of talent in the agriculture sector. All pertinent details including the preparation, instructional materials, prototyping materials, and case studies are presented in this paper.


Author(s):  
Gurdeep S Hura

This chapter presents this new emerging technology of social media and networking with a detailed discussion on: basic definitions and applications, how this technology evolved in the last few years, the need for dynamicity under data mining environment. It also provides a comprehensive design and analysis of popular social networking media and sites available for the users. A brief discussion on the data mining methodologies for implementing the variety of new applications dealing with huge/big data in data science is presented. Further, an attempt is being made in this chapter to present a new emerging perspective of data mining methodologies with its dynamicity for social networking media and sites as a new trend and needed framework for dealing with huge amount of data for its collection, analysis and interpretation for a number of real world applications. A discussion will also be provided for the current and future status of data mining of social media and networking applications.


Author(s):  
Mohd Azeem Faizi Noor ◽  
Saba Khanum ◽  
Taushif Anwar ◽  
Manzoor Ansari

Blockchain, the technology behind most popular cryptocurrency Bitcoin and Ethereum, has attracted wide attention recently. It is the most emerging technology that has changed the financial and non-financial transaction system. It is omnipresent. Currently, this technology is enforcing banks, industries, and countries to adopt it in their financial, industrial, and government section. Earlier, it solved the centralize and double-spending problems successfully. In this chapter, the authors present a study of blockchain security issues and its challenges as well. They divided the whole chapter into two parts. The primer part covers a holistic overview of blockchain followed by the later section that argues about basic operations, 51% attack, scalability issue, Fork, Sharding, Lightening, etc. Finally, they mention an intro about its adaptation (financial or non-financial) in our 24/7 life and collaboration with fields like IoT.


Author(s):  
Mehdi Mcharek ◽  
Toufik Azib ◽  
Moncef Hammadi ◽  
Cherif Larouci ◽  
Jean-Yves Choley

Purpose Within the current industrial context, companies aim to decrease the design process time and cost. The multidisciplinary design optimization (MDO) appears as a solution to accelerate the process and support designers in different stages of the design cycle. However, this relatively new concept needs to be integrated efficiently in the industrial environment and issues related to collaboration, data management, traceability and reuse need to be overcome. Design/methodology/approach The aim of this work is to efficiently integrate the MDO in the industrial design cycle by means of knowledge management (KM) techniques. To take into account the industrial environment, the methodology was applied in a collaborative software. Findings An example of collaborative design and optimization of an electronic throttle body (ETB) controller is presented with industrial requirements. The design problem was solved successfully and demonstrates the efficiency of the methodology in collaborative environments. Originality/value The contributions of this work lie in the structuration of the knowledge to support MDO and the definition of a general way to connect the existent MDO tools to the knowledge base. This methodology will enable to freely link different steps of the design process and reduce considerably the setting time of MDO in industries.


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