《数据结构》课程的多元整合改革

Qian Wang, Dongsheng Zou, Liang Ge
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引用次数: 0

摘要

数据结构是计算机科学中一门重要的专业基础课,是编程的重要基础,既有理论指导又有实践指导。它在计算机专业课程体系中占有重要的地位。本课程系统地讨论了各种常用的数据结构及其应用,以及各种查找和排序的方法,培养学生的数据抽象和编程能力,为后续的课程学习和科学研究打下坚实的基础。本文主要针对数据结构课程内容抽象、知识点多、算法复杂、实验难度大、课堂教学效率低等问题。为提高课程的教学效果,增强学生的实践创新能力,我们引入了以小组标准为基础的课程内容,以教学过程为基础的课程形成性评价,以课后实践能力培养为基础的方案设计竞赛,以在线评委为基础的实践教学和实验评估,以及课堂教学多种教学方式的引入等多元一体化课程改革。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Multi-integrated Reform for the Course of Data Structure
Data structure is an important professional basic course in computer science, an important basis for programming with instructions of both theory and practice. It enjoys a vital position in the computer professional course system. The course systematically discusses various commonly used data structures and their applications, as well as various methods of searching and sorting, developing students' data abstraction and programming capabilities, and laying a solid foundation for subsequent course learning and scientific research. The thesis focuses on the problems of data structure course content abstraction, many knowledge points, complex algorithms, difficult experimentation, and low classroom teaching efficiency. To improve the teaching effect of the course and enhancing students' practical innovation ability, we have introduced multi-integrated curriculum reform, including course content based on the Group Standard, curriculum formative evaluation based on the teaching process, program design competition-driven after class practice ability training, practical teaching and experimental assessment based on Online Judge, and the introduction of multiple teaching methods of classroom teaching.
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