Discussion on the Teaching Reform of the Undergraduate Course "Time Series Analysis" in the Age of Digital Intelligence

Authors

  • Erpo Lu

DOI:

https://doi.org/10.54097/z6kb0v18

Keywords:

Time Series Analysis, Hybrid Teaching Model, Teaching Effectiveness

Abstract

Time series analysis is a very important compulsory course for statistics majors, and the arrival of the era of digital intelligence has brought a profound impact on the teaching concept and teaching mode of this course. In the age of digital intelligence, the implementation of online and offline hybrid teaching mode can achieve very good teaching effect. This paper introduces the teaching reform practice of time series analysis course, in order to provide certain reference for the teaching reform of similar institutions.

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References

Jia Jiyou et al. Promoting the development of university teaching and learning with digital-intelligent transformation[J]. University and Discipline,2022(3),4.

Meng Shengwang, Yuan Wei. Statistics education in the era of big data[J]. Statistical research,2015(32),4.

Li Muyi. Theoretical Foundations and Data Practices of Time Series Analysis[J]. Economic Information Translation Series, 2020, 1.

Wang Yan. Time Series Analysis - Based on R (Second Edition) [M]. Renmin University of China Press,2020.

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Published

29-02-2024

Issue

Vol. 7 No. 2 (2024)

Section

Articles

License

Copyright (c) 2024 Journal of Education and Educational Research

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

Lu, E. (2024). Discussion on the Teaching Reform of the Undergraduate Course "Time Series Analysis" in the Age of Digital Intelligence. Journal of Education and Educational Research, 7(2), 317-319. https://doi.org/10.54097/z6kb0v18