大理大学学报 ›› 2025, Vol. 10 ›› Issue (12): 38-47.

• 数学与计算机科学 • 上一篇    下一篇

“新工科”背景下多学科“通专”融合教学模式探索实践——以“Python 数据分析”课程为例#br#

  

  1. (1.大理大学数学与计算机学院,云南大理 671003; 2.大理大学现代教育技术中心,云南大理 671003)
  • 收稿日期:2025-02-23 出版日期:2025-12-15 发布日期:2026-01-16
  • 作者简介:赵榆琴,副教授,主要从事教育大数据分析、机器学习研究。
  • 基金资助:
    云南省首批一流本科课程项目(云教发〔2020〕98号);云南省高等学校计算机教学研究会教学研究项目(云
    高计教〔2023〕22号);大理大学第八期教育教学改革研究项目(2022JGY08-58)

Exploration and Practice of a Multidisciplinary "General and Specialized" Integrated Teaching Model under the Background of "New Engineering": A Case Study of the "Python Data Analysis" Course

  1. (1. College of Mathematics and Computer Science, Dali University, Dali, Yunnan 671003, China;
    2. Modern Educational Technology Center, Dali University, Dali, Yunnan 671003, China)
  • Received:2025-02-23 Online:2025-12-15 Published:2026-01-16

摘要: 针对当前计算机类通识教育课程教学中存在的问题,结合“四新”建设中不同专业对计算机类通识教育课程的需求,阐
述了“一体两翼多向”的多学科“通专”融合课程体系。以“Python数据分析”课程为例,从课程内容的多学科融合、“通专”课程
的融合、新形态教材体系的构建以及课程考核方式的多元化创新4个方面,阐述具体的课程建设举措。最后,提出多学科“通
专”融合教学模式未来的研究方向。

关键词: “ 通专”融合, 多学科融合, 新工科, Python, 数据分析

Abstract: In response to the problems existing in the current teaching of computer-related general education courses, and combined
with the demands of different majors for such courses in the context of the "Four New Disciplines" construction, this paper elaborates on the multidisciplinary "general and specialized" integrated curriculum system characterized by "one core, two pillars, and multidimensional expansion". Taking the "Python Data Analysis" course as an example, this paper elaborates on specific curriculum development measures from four aspects: the multidisciplinary integration of course content, the integration of "general and specialized" courses, the construction of a new-form textbook system, and the diversified innovation of course assessment methods. Finally, future research directions for the multidisciplinary "general and specialized" integrated teaching model are proposed.

Key words: integration of "general and specialized", multidisciplinary integration, New Engineering, Python, data analysis

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