摘要
“时间序列分析”是一门研究时间序列理论及其规律的科学。在大数据时代,时间序列分析发展迅速,应用广泛,然而,时间序列分析课程的建设和发展却面临着挑战。传统教材和常规讲授的局限性在大数据时代日益凸显。鉴于以上情况,需要将时间序列分析课程的培养目标与教学实践相结合来进行改革,以满足大数据时代的需求。具体内容包括教学内容建设、教学条件建设及教学方法与手段的革新,为该课程的教学提供有价值的参考,提高大数据时代背景下时间序列领域人才的培养质量。
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.
作者
李文
于文军
杜守国
Li Wen;Yu Wenjun;Du Shouguo(School of Statistics and Information,Shanghai University of International Business and Economics,Shanghai 201620;Shanghai Municipal Big Data Center,Shanghai 200072)
出处
《对外经贸》
2024年第5期109-111,115,共4页
FOREIGN ECONOMIC RELATIONS & TRADE
基金
上海市领军人才
国家自然科学基金项目(项目编号:12171310)
上海市科学技术委员会项目(项目编号:23511100500)。
关键词
时间序列分析
课程建设
统计学
大数据
机器学习
Time Series Analysis
Course Construction
Statistics
Big Data
Machine Learning
