Precision Teaching of EDA Technology Course in Multidimensional Data Space Based on Data Mining

With the deepening of the research on the teaching strategies of undergraduate courses, the effectiveness of precision teaching on the improvement of teaching quality has been widely recognized. Taking EDA (Electronic Design Automation) technology course as an example, traditional precision teaching has some problems, such as mismatch between teaching objectives and research-based learning, emphasis on theory over practice, and insufficient teaching resources. Therefore, in the teaching of undergraduate professional courses, teachers can use information technology to reconstruct the precision teaching process of professional courses, obtain real-time data of the teaching process through the classification and decomposition of teaching objectives, the classification and construction of teaching resources, and the continuous evaluation of learning objects, and implement precise teaching intervention according to the data processing results, so as to maximize the learning effect of students.