大数据时代“时间序列分析”课程改革与探讨

Reform and Discussion of“Time Series Analysis”in the Era of Big Data

“时间序列分析”是一门应用性很强的学科。针对当前大数据时代下在本科“时间序列分析”课程教学中遇到的挑战进行了探讨。首先从改变教学观念、建立大数据视野角度出发,阐明了进行“时间序列分析”课程教学改革的必要性。其次从案例模块教学、“微课”教学、开展第二课堂、考核方式等方面探索了现阶段本科“时间序列分析”课程教学改革的办法和建议。最后表明要不断提高教师队伍建设,修改和完善教学方法,以期提高学生的实际应用能力,更好地适应大数据时代的需要。

“Time series analysis”is an application-oriented subject.This paper discusses the challenges in the teaching methods of“time series analysis”in the era of big data.Firstly,this paper expounds the necessity of teaching reform of“time series analysis”course from the perspective of changing teaching concepts and establishing big data vision.Secondly,this paper explores“time series analysis”teaching reform methods and suggestions from the aspects of case studies,“micro-lecture”teaching,the conducting of second-class teaching,and assessment methods.Finally,the paper shows that we need to enhance teachers’qualifications and teaching methods constantly,in order to improve students’practical capability and meet the needs of the era of big data.