Exploration of Teaching Reform in "Time Series Analysis" Courses in the Context of the Big Data Era
Time Series Analysis is a science that studies the theory of time series and its laws.In the era of big data,time series analysis has developed rapidly and is widely used,however,the construction and development of time series analysis courses are facing challenges.The limitations of traditional textbooks and conventional lectures are becoming increasingly prominent in the era of big data.In view of the above situation,it is necessary to combine the training objectives of the time series analysis course with the teaching practice to carry out reforms to meet the needs of the big data era.The specific content includes the construction of teaching content,the construction of teaching conditions,and the innovation of teaching methods and means,which provides a valuable reference for the teaching of this course and improves the training quality of talents in the field of time series in the era of big data.
Time Series AnalysisCourse ConstructionStatisticsBig DataMachine Learning
NETL
NSTL
万方数据
