IMPORTANCE OF TEACHING STATISTICAL OPTIMIZATION IN ENGINEERING EDUCATION: A CASE STUDY ON THE CONTRIBUTION OF A PHD STUDENT FOR A GEOTECHNICAL DESIGN
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Tarih
2020
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Int Council Materials Education
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
In engineering education, the students are often guided by their advisors to take courses related to their areas of expertise. In addition to the courses related to their areas of expertise, especially in the fields of applied engineering, taking math-based statistics or artificial intelligence courses improves students' analytical thinking skills significantly. For this reason, new perspectives for teaching in engineering education are required. In this study, the importance of teaching mathematically based statistical optimization techniques in engineering education has been discussed through an experimental case study. Within the study, the disposal of Drinking Water Treatment Sludge (DWTS) through its use in sandy soil improvement was studied experimentally and it was discussed whether the sludge usage improves the engineering properties of sandy soils. Besides, the experimental process of this research was supported by a Response Surface Methodology (RSM) analysis, thanks to the knowledge of a Ph.D. student. The RSM studied by Ph.D. students aims to suggest a useful approach to decrease laboratory efforts considering the difficulties of laboratory studies. It has been observed that the results found experimentally and calculated by a Ph.D. student are very close to each other, and the approach suggested by a Ph.D. student can be a useful way to decrease laboratory experiments. It can be concluded from this applied research that statistical knowledge gives strong advantages to engineers for reducing labor efforts, gaining time and having economic advantages. As a result, teaching some statistical approaches to engineering students is very useful for their professional lives.
Açıklama
Anahtar Kelimeler
engineering education, mathematical and statistically-based course, design of experiment, soil improvement
Kaynak
Journal of Materials Education
WoS Q Değeri
Q4
Scopus Q Değeri
Cilt
42
Sayı
5-6
