Abstract
Because of vigorous development of infrastructure construction in recent years, civil’s cultivation engineering majors is of vital importance to China’s infrastructure construction. Combining the characteristics of civil engineering majors, through the research of professional diagnosis and improvement, we will guide the transformation of civil engineering students from research type to application type, and improve students’ self-learning ability and comprehensive application solve problems of engineering. It is of practical significance to cultivate high-quality civil engineering professionals. At present, many scholars are getting more and more in the field of civil engineering, and diagnosis and improvement are important means to improve professional quality. From the aspects of the demand for talents in civil engineering, the formulation and implementation of talent training programs, the construction and protection of professional conditions, and the satisfaction of personnel training, the existing problems are analyzed and improvement measures are proposed. In order to solve some problems of civil engineering, this paper built a quality evaluation model based on the EFQM, and uses the fuzzy method to establish a quantitative analysis framework for the quality of civil engineering. It has certain guiding opinions to guide the diagnosis and improvement of civil engineering majors and to promote the improvement of the quality of civil engineering professionals.
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Acknowledgements
This article is supported by the National Study Abroad Fund “2016 Higher Education Teaching Law to study abroad project” (project number: stay blonde [2016] 5054), Guangdong Brand Specialty Construction Subsidy Project (Grant No. 2016gzpp016), Guangzhou City Construction College Key Project in 2017 “Research and Practice on Diagnosis of Civil Engineering Majors Based on EFQM Excellence Model Analysis” (Grant No. ZD201701).
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Wei, A. (2020). Research and Practice on Diagnosis of Civil Engineering Majors Based on EFQM Excellence Model Analysis. In: Huang, C., Chan, YW., Yen, N. (eds) Data Processing Techniques and Applications for Cyber-Physical Systems (DPTA 2019). Advances in Intelligent Systems and Computing, vol 1088. Springer, Singapore. https://doi.org/10.1007/978-981-15-1468-5_110
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DOI: https://doi.org/10.1007/978-981-15-1468-5_110
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