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Constructing a "Management-Engineering Integration" Python Curriculum for Big Data Majors

Hengshuai Fan, Haifeng Li*, Weiwei Sun

Abstract


Against the backdrop of the booming digital economy, the Big Data Management and Application major aims to cultivate interdisciplinary talents with both management literacy and data technology competencies, raising new requirements for tool courses represented by
Python. Targeting common flaws including misplaced curriculum orientation, disconnection between technical knowledge and management
scenarios, and homogenized content, this paper constructs a four-level progressive content system featuring management-engineering integration based on Outcome-Based Education (OBE) and interdisciplinary education theories, and proposes corresponding implementation pathways. The study proves that the system can effectively highlight professional features, bridge the knowledge chain between basic and followup courses, and enhance students' ability to solve practical management problems with Python, providing a replicable reference for curriculum
reform in similar majors.

Keywords


Big data management and application; Python course; Integration of management and engineering; Content system construction

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References


[1] Song Y, Song G, Wu J, et al. Current Construction Status of the Big Data Management and Application Major in Medical Universities

and Exploration of Talent Training System[J]. Sichuan Univ (Med Ed), 2022;53(5):868-872.

[2] Jin L, Liu J, Chen J, et al. Time-sharing Teaching Practice of Python Programming Based on OBE Concept[J]. Comput Educ,

2021(1):62-65.

[3] Ling F, Gong S. Research on Project-Based Learning Python Programming Course[J]. Frontiers in Computing and Intelligent Systems,

2022, 1(2):1-5.

[4] Liang H, Zhang Q. Research on Construction of Curriculum Map Based on OBE Theory[J]. Microcomput Appl, 2021, 37(12): 30-32.

[5] Zeng Q, Gan T, Luan J, et al. Teaching Reform of Big Data Analysis Practical Course Based on Authentic Learning[J]. Comput Educ,

2025(8): 71-76.




DOI: http://dx.doi.org/10.70711/wef.v4i5.10122

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