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

Emerging Engineering Educationdata structurenon-computer majorspractical teaching

汤倩媛、郭云镝

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深圳技术大学 健康与环境工程学院,广东 深圳 518118

深圳技术大学 大数据与互联网学院,广东 深圳 518118

新工科 数据结构 非计算机专业 实践教学

深圳技术大学教学研究和改革项目深圳技术大学大数据与互联网学院教学改革项目

20221014BDI202401007

2024

电脑与电信
广东省对外科技交流中心

电脑与电信

影响因子:0.117
ISSN:1008-6609
年,卷(期):2024.(5)