摘要
新能源是国家能源发展的重大工程,“新能源数据挖掘与分析”课程将传统的新能源技术与数据科学相结合,将数据挖掘、统计分析、机器学习等方法融入教学,以解决新能源领域的实际问题。在双碳背景下,结合实际工程应用教授学生分析新能源数据、充分挖掘新能源的潜力是课程的重要目标。根据专业特点分类推进课程思政建设,将党的二十大精神有机融入到课程主体知识结构中,培养学生的数据分析能力,并引导学生更深刻地思考新能源与社会、人类命运共同体的关系。文章以风力发电场选址为例,通过数据挖掘与分析得到破坏性最小,效率最高的发电场选址的同时,引导学生提升个人综合素质,塑造积极健康的价值观,实现协同育人的效果。
New energy is a major project of national energy development. The course “New Energy Data Mining and Analysis” combines traditional new energy technology with data science, and integrates data mining, statistical analysis, machine learning and other methods into the teaching to solve the practical problems in the field of new energy. It is an important goal of the course to teach students to analyze new energy data and fully explore the potential of new energy sources in the context of the double carbon. The ideological and political construction of the course is promoted according to the professional characteristics, and the spirit of the 20th Congress of the Party is organically integrated into the main knowledge structure of the course, aiming at cultivating students’ data analysis ability, guiding students to think more profoundly about the relationship between new energy, society and the community of destiny of mankind. This paper takes the wind farm site selection as an example, the minimum destructive and most efficient power plant site selection is obtained through data mining and analysis, which guides students to improve their quality in the learning process, and shape healthy values, so as to realize the effect of collaborative education.
出处
《创新教育研究》
2024年第5期299-306,共8页
Creative Education Studies
