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Under the current background of the development of big data (BD), with the continuous development of education, higher mathematics teaching in colleges and universities (HMTICAU) has become an important part of quality education, and higher mathematics has formed a culture and integrated into the teaching process of various majors. The purpose of this article is to create a "golden course" of advanced mathematics in the context of BD to improve the quality of advanced mathematics teaching. This article aims at the creation of the "golden course" of HMTICAU, which has random and time-varying characteristics. It adopts BD technology (BDT) algorithms, applies graph theory and ID3 algorithms, and establishes the students' ability to learn higher mathematics teaching gold courses in colleges and universities. Pruning technology realizes the pruning of the classification decision tree, generates classification rules, and completes the construction of the classification decision tree model for the transformation of the "golden course" professional teaching of higher mathematics teaching. The experimental results show that the "golden course" of higher mathematics teaching based on BDT explored in this article is more recognized and liked by students, and the degree of students' love for class has increased by about 55%. |
