融合科研素质培养的《算法设计与分析》课程思政教学改革
Incorporating the Cultivation of Scientific Research Qualities into the Ideological and Political Teaching Reform of “Algorithm Design and Analysis”

算法设计与分析作为计算机类专业研究生阶段的重要核心课程，对于培养学生的逻辑思维能力、问题解决能力和科研素质具有重要意义。然而，传统的教学模式往往侧重于理论知识的传授，忽视了对学生科研素质和思想政治素养的培养。文章探讨了如何在算法设计与分析课程中融合科研素质培养与课程思政教学，通过优化教学内容、创新教学方法、加强实践教学和构建多元化评价体系等途径，实现知识传授、能力培养与价值引领的有机统一，为培养具有创新精神、实践能力和社会责任感的计算机专业人才提供有力支撑。
Algorithm Design and Analysis, as an important core course at the graduate level for computer-related majors, is of great significance for cultivating students’ logical thinking ability, problem-solving ability, and scientific research qualities. However, traditional teaching modes often focus on the imparting of theoretical knowledge, neglecting the cultivation of students’ scientific research qualities and ideological and political literacy. This paper explores how to integrate the cultivation of scientific research qualities and ideological and political teaching into the course of Algorithm Design and Analysis. By optimizing teaching content, innovating teaching methods, strengthening practical teaching, and constructing a diversified evaluation system, it aims to achieve the organic unity of knowledge imparting, ability cultivation, and value guidance, providing strong support for cultivating computer professionals with innovative spirit, practical ability, and social responsibility.