大数据背景下《时间序列分析》“金课”建设探索与实践
Exploration and Practice of the Construction of “Golden Course” in “Time Series Analysis” under the Background of Big Data

打造具有高阶性、创新性和挑战度的“金课”，已经成为高等教育界的普遍共识和行动指南。本文针对大数据背景下我校《时间序列分析》课程建设中的问题，从信息化建设改革、教学内容选择、学习资源组织、学习轨迹建立、学习效果评价五个方面进行探索与实践。通过大数据分析学习者的学习基础、动机、需求，以数据挖掘和分析实现“数据驱动”的个性化和精准教学。实施多元化的学习评价，促进了学习者的高级认知和深度学习，从而有效提高了课程的教学质量和学生的学习效果。
Constructing the “Golden Course” with high quality, innovation and challenge has already been the general recognition and acting guidance in the high education field. Aiming at the problems in the course construction of “Time Series Analysis” in our university under the background of big data, this paper explores and practices from five aspects: reform of information construction, selection of teaching content, organization of learning resources, establishment of learning trajectory and evaluation of learning effect. Through big data analysis of learners’ learning basis, motivation and needs, data mining and analysis to achieve “data-driven” personalized and precise teaching. The implementation of diversified learning evaluation promotes learners’ advanced cognition and deep learning, so as to effectively improve the teaching quality of the course and students’ learning effect.