Data Structures and Algorithms
数据结构与算法课程系统讲解线性表、栈、队列、树、图、哈希表等基本数据结构，以及排序、搜索、动态规划、贪心算法、分治法等经典算法。课程注重时间与空间复杂度分析，培养学生高效处理大规模数据的能力，为后续机器学习、数据库系统、大数据处理等课程提供必要的算法基础与编程训练。
This course systematically covers fundamental data structures including lists, stacks, queues, trees, graphs, and hash tables, along with classic algorithms such as sorting, searching, dynamic programming, greedy algorithms, and divide-and-conquer. The course emphasizes time and space complexity analysis, develops the ability to efficiently process large-scale data, and provides essential algorithmic foundations and programming training for machine learning, database systems, and big data processing.
实现并对比多种排序与图算法在不同数据规模下的运行时间，撰写性能分析报告，分析算法复杂度与实际表现，并给出工程优化建议。
Implement and compare the runtime of various sorting and graph algorithms across different data scales, write a performance analysis report, analyze algorithm complexity versus actual performance, and provide engineering optimization recommendations.