Analysis of Teaching Practice of Engineering Cost Professional Courses under the Background of Intelligent Big Data

In recent years, with the rapid development of the building decoration engineering industry, the demand for talents' knowledge, concepts and skills is also increasing. The major of engineering cost should follow the progress of the times, constantly explore and reform the teaching mode, and cultivate students' comprehensive quality and practical ability. However, compared with other disciplines, construction engineering has higher practicality, so the problem that should be paid attention to in practical operation is how to carry out effective practice. In the intelligent big data environment, by combining modern information technology with traditional teaching methods, and combining the characteristics of disciplines to carry out practical classrooms, it can effectively solve the shortcomings of traditional classroom teaching that emphasizes practice and theory. This paper mainly discussed how to carry out the teaching practice of engineering cost under the environment of "intelligent big data". Through the cloud model-grey correlation analysis, a new teaching quality evaluation mode was established. By calculating the weight of each index, it effectively overcomes the shortcomings of traditional evaluation methods such as strong subjectivity and complicated calculation. The experimental results of this paper show that 53 students think that the curriculum is more theoretical, accounting for 27.9%, and 47 students think that the curriculum is not enough, accounting for 24.7%. There are 42 students who think that the self-study time is less, accounting for 22.1%.