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Project-Based Teaching Reform of "Multivariate Statistical Analysis and R Language Modeling" Based on OBE Concept

Author(s)

Shimin Liang*, Yuyi Luo, Junhao Huang

Affiliation(s)

School of Computer Science, Guangdong University of Science and Technology, Dongguan, Guangdong, China *Corresponding Author

Abstract

"Multivariate Statistical Analysis and R Language Modeling" is a professional group elective course for students majoring in Data Science and Big Data Technology, designed for those aiming to pursue careers in data analysis and data mining. In traditional teaching, there are issues such as deviations in teaching goal orientation, outdated and lagging teaching methods, and rigid teaching evaluation criteria in the teaching of "Multivariate Statistical Analysis and R Language Modeling". Teaching reform should be carried out under the guidance of the OBE concept and project-based teaching model. Determine teaching goals based on demand, design a dual-module teaching content of "basic accumulation + practical application", adopt a project-based teaching model, and construct a continuously improving assessment and evaluation system, providing a reference for improving the teaching quality of "Multivariate Statistical Analysis and R Language Modeling".

Keywords

OBE Concept; Project-Based Teaching; Multivariate Statistical Analysis and R Language Modeling

References

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