大数据时代下数据结构课程的教学改进策略
Teaching Improvement Strategies for Data Structure Courses in the Era of Big Data

在大数据时代背景下，如何改进数据结构课程教学以适应当前社会发展需求已经成为大学计算机教育中一个重要问题。文章首先阐述了数据结构课程教学在大数据时代下改进的必要性，然后剖析了当前数据结构课程教学在适应大数据发展方面存在的一些不足。针对这些不足，文章提出了针对性的教学改进策略，包括教学内容创新、教学方法创新、课程案例深化、丰富大数据应用案例。数据结构课程的教学改进策略需要符合大数据时代的发展趋势，以使学生更好地适应未来社会的发展需求。
In the era of big data, how to improve the teaching of data structure courses to adapt to the current needs of social development has become an important issue in university computer education. This article first explains the necessity of improving data structure course teaching in the era of big data, and then analyzes some shortcomings of current data structure course teaching in adapting to the development of big data. In response to these shortcomings, this article proposes targeted teaching improvement strategies, including innovation in teaching content, innovation in teaching methods, deepening of course cases, and enrichment of big data application cases. The teaching improvement strategies of the data structure course need to conform to the development trend of the big data era so that students can better adapt to the development needs of future society.