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This Course Learning Outcome entails how to collaborate with other students in different field of specialization, and from different engineering field and how capstone projects are more effective in a multidisciplinary point of view.
capstone project: a multidisciplinary approach
capstone project: a multidisciplinary approach
Each capstone project begins with a problem in the society identified by the student. It is truly undeniable that capstone project has become an integral part of the college degree curriculum. In order for students to carry out their proposed capstone project, they should be able to acquire the necessary skills and knowledge that were taught in previous courses. And this creates a unique opportunity for engineering students to carry out independent group research in order to devise an innovative solution for a real-world problem.
Nowadays, there is a growing canon of problem-solving that requires various disciplines, especially in a project-oriented setting. Due to the complexity of modern-day problems, it can be said that a multifaceted approach in proposing a real-world capstone project has the potential to create not only lifelong learning for researchers but also, it offers an opportunity to generate a breakthrough idea or technology, that will answer the needs of the society.
Attached in the left figure are frameworks in research which utilizes the design concepts of machine learning and wind engineering in developing a theoretical and conceptual framework
Assignment #3_Framework (Special Group).pdf
In most capstone project, a multidisciplinary approach can be applied to learn everything there is to know about a particular phenomenon. This can be done by a multidisciplinary team with different expertise. Members of the multidisciplinary research team must have different skills and backgrounds. The different perspectives of research team will complement each other and provide a more comprehensive picture and deeper insights on how to solve engineering problems
Therefore multidisciplinary type of capstone project is very essential in solving current societal issues. It does not only requires expertise from different disciplines to solve specific issues, but it also requires teamwork and leadership skills as it will create a linkage of methodologies, approaches, and perspectives that will bridge the gaps between the theory and design concepts, and the feasibility of the project itself. Shown on the left figure is an example of deep learning algorithm that we run using Python language, wherein slope angles were determined, and objects were classified in a single imagery.
evidence of learning
evidence of learning
Due to complexity of my capstone project proposal. I sought help from other courses, for which my research instructor advised me to collaborate with other courses. With the help of Engr. Flores and Engr. Talagtag, I was able to propose a multidisciplinary type of capstone project, wherein my research mates came from the Electronics Engineering Department.
Shown in the left figure is the revised matrix of methodology containing objectives that were developed in a multidisciplined manner.
Since it has a multidisciplinary approach, the objectives of the study require design concepts from two fields of engineering. Also, our research group had two advisers. Engr. Christian Albert Huerto was the research adviser from ECE and Engr. Rogel Exequiel Talagtag from CE.
The design process was also crafted in a multi-faceted approach wherein there is a linkage between the importance of the proposed machine learning algorithm in creating more reliable fragility curves due to accurate extraction of building properties.
The figures shown on the right displays an example of extracted building dimensions using YOLO7 algorithm (ECE Phase) and the wind hazard map (CE Phase) generated by Salazar (2014). But instead of hazard maps, our study will focus on wind risk map since hazard brought by typhoons already exists in the Bicol Region.
reflection
reflection
Collaborating with students from other courses wasn't hard for me. It is because I already knew my researchmates and befriended them. Also, this made our collaboration more interesting for we share and exchanged our ideas, knowledge, and expertise throughout the design process. For example, I was able to explain the second phase of our design project to my researchmates who doesn't have any prior background in surveying and structural analysis. They were able to understand the concepts and the tools that we will be using for data collection. Likewise, my researchmates taught me how to debug and run some codes, particularly on how to train a machine learning algorithm. Overall, it was fun and engaging to propose a capstone project in collaboration with other course program.
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