基金项目

“新工科”背景下非计算机专业数据 结构实践课程探索

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  • 1.深圳技术大学 健康与环境工程学院 2. 深圳技术大学 大数据与互联网学院

网络出版日期: 2024-10-11

Exploration of Data Structure Practice Courses for Non-computer Majors under the Background of "Emerging Engineering Education"

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  • 1. Shenzhen Technology University 2. Shenzhen Technology University

Online published: 2024-10-11

摘要

在新工科背景下,学科交叉的重要性日益凸显。然而,非计算机类专业如自动化、智能医学工程等专业在开设数 据结构课程时,常常会面临课时有限、学生编程基础不牢等挑战。为了解决这些问题,提出一套新的实践教学模式,包括实践 性预习、逐行代码示范和应用场景串联等实践环节。实践效果表明,该模式有效提升了学生的学习热情,降低了学习门槛,提 高了教学质量。

本文引用格式

汤倩媛  郭云镝 . “新工科”背景下非计算机专业数据 结构实践课程探索[J]. 电脑与电信, 2024 , 1(5) : 57 . DOI: 10.15966/j.cnki.dnydx.2024.05.002

Abstract

Within the context of Emerging Engineering Education, the significance of interdisciplinary learning is becoming increas‐ ingly evident. However, non-computer majors such as automation and intelligent medical engineering often encounter challenges when implementing data structure courses, including limited class hours and students’ weak programming foundations. To tackle these issues, this paper proposes a novel practical teaching model, encompassing elements such as practical pre-study, line-by-line code demonstration, and application scenario integration. Practical effect shows that, the teaching model can enhance students’ learning enthusiasm, reduce the learning threshold, and elevate the quality of teaching. 
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