数据结构与算法课程思政案例研究

Case Study on Ideological and Political Education in the Course of Data Structures and Algorithms

数据结构与算法作为计算机科学与技术专业的核心课程,在课程体系中承担着对专业学习承前启后的重要作用,也是学科专业大思政格局中的重要分支和组成部分。根据近年来的教学实践经验梳理课程思政教学理念,确立课程思政实施原则,优化具体课程思政教学案例。以哈夫曼树与哈夫曼编码、Dijkstra最短路径和哈希查找3个具体课程设计为例,阐述其中的元素剖析、细节设计、元素呈现、教学效果以及总结与反思,以期为相关课程教学提供参考。

Data structures and algorithms,as a core course in the field of computer science and technology,plays an important role in the curriculum system by bridging the gap between foundational and advanced learning.It is also an important branch and integral part of the ideological and political education in the discipline.Based on recent teaching practice experience,we have outlined the principles of integrating ideology and politics into the curriculum.We have optimized specific examples of how to incorporate ideological and political elements into the design of the course.Taking the specific course designs for Huffman trees and Huffman encoding,Dijkstra′s shortest path algorithm,and hashbased searching as examples,we elaborate on the analysis,detailed design,presentation of ideological and political elements,teaching effectiveness,as well as the summary and reflection of incorporating ideology and politics into the curriculum,in order to provide reference for the teaching of related courses.