Curriculum Reform and Practical Application under the Background of Information Technology and Big Data—Take the Course of "Multivariate Statistical Analysis" as an Example

Abstract

“Multivariate Statistical Analysis” is one of the compulsory courses for undergraduates majoring in statistics, big data and computer science. It is a branch of mathematical statistics that is most closely related to practical activities such as social economy, finance, psychology, medicine, sports and other fields, have a very wide range of applications. The content in the most used and popular multivariate statistics textbooks in colleges and universities today is relatively outdated. Many multivariate statistical methods generated under the background of big data are very practical, and they are not difficult to understand and operate, and can be provided to undergraduates stage of college students to study. Therefore, it is very necessary to add the method of multivariate statistics that is in line with the current data analysis company in the actual teaching, and it is also to reduce the degree of derailment of the ability of the actual company when college students graduate to work. Many methods of multivariate statistics under the background of big data can no longer meet the processing of modern data. Therefore, the latest research methods of multivariate statistics should be reflected in the actual teaching, so that students will not embark on the road of data analysis after graduation. Derail. In the actual process of teaching, it is planned to use a combination of flipped classroom and traditional classroom. In terms of teaching methods, by readjusting the time inside and outside the classroom, the knowledge point modules originally taught in the classroom are sent to the students in the form of video before learning the knowledge point, so that the students can use the time after class to learn independently. And with heuristic questions. Through out-of-class learning, students develop their doubtful knowledge points and proposed ideas in the actual teaching classroom together with the teachers. Therefore, this paper conducts research on the reform of teaching methods and teaching content in the course of multivariate statistical analysis.