Research on the Teaching Reform of"Time Series Analysis"under the Background of Big Data
"Time series analysis"is a multidisciplinary discipline,and people can study the characteristics of time series data,simulate a optimal model,and then predict the future trend.Traditional courses of time series analysis are based on theoretical knowledge,and often neglect the practice and application of knowledge.Howev-er,in view of the training goal of cross-border composite talents under the background of big data,the teaching pattern needs to follow the trend of the times and carry out various reforms.This paper first expounds the re-search status and existing problems of the teaching reform of this course,and then puts forward three reform plans,that is,the establishment of"double-qualified"innovative teaching methods,the implementation of flexible classification teaching according to the major and the multi-track parallel assessment form of"homework+proj-ect practice+closed book examination".Finally,the paper expounds conclusions and suggestions.It is hoped to improve students'theoretical and practical ability and train more statistical talents needed in the era of big data by improving teaching methods.
big data backgroundtime series analysisteaching reform
NETL
NSTL
万方数据
