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This paper delves into the importance of establishing a foundation course in data analysis technology within the context of new engineering disciplines, emphasizing the urgency of cultivating students' interdisciplinary abilities. The core principles of course design are detailed, including clarifying course objectives, integrating interdisciplinary content, employing project-driven teaching methods, addressing data ethics and social responsibility, promoting interdisciplinary collaboration, and continuously updating course content. By adhering to these principles, the paper aims to provide methodologies for assessing the importance of cultivating a foundation in data analysis technology in undergraduate education.
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Zhang et al. (2024) studied this question.
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