摘要
科学计算是一门理论与实践结合的专业课程,该课程对学生的综合能力培养有着至关重要的作用。针对课程对传统软件依赖性强,学生缺乏实践与学习动力等问题,提出将Python程序设计语言及Jupyter大数据分析平台融入科学计算课程的教学改革方法,并在教学内容和教学方式上给出了具体的措施。以数据科学与大数据技术专业课程教学改革为例,这些方法和措施的采用显著地提高了学生的应用和创新能力,证明了教学改革的有效性。
Scientific computing is a professional course which combines theory and practice,it plays an important role in the cultivation of students'comprehensive ability.In view of its strong dependence on traditional software and the lack of practice and learning motivation of students,this paper puts forward the teaching reform of integrating Python programming language and Jupyter big data analysis platform into the scientific computing course,and gives specific measures on teaching content and teaching methods.Taking the teaching reform of the data science and big data technology specialties as an example,the adoption of these methods and measures has significantly improved the application and innovation ability of students,which proves the effectiveness of the teaching reform.
作者
郝静
平梦婷
陈建文
王仲梅
Hao Jing;Ping Mengting;Chen Jianwen;Wang Zhongmei(College of Science,Hunan University of Technology and Business,Changsha,Hunan 410205,China)
出处
《计算机时代》
2022年第1期90-92,96,共4页
Computer Era
基金
湖南省大学生创新创业训练计划项目“几类复杂微分系统的智能计算与Python程序实现”(湘教通(2020)131号)
湖南省普通高等学校课程思政建设研究项目“数据科学与大数据技术专业课程思政教育的探索与实践”(HNKCSZ-2020-0399)
湖南省教育厅教学改革研究项目(HNJG-2020-0632)
湖南省一流课程《算法导论》(湘教通(2020)322号)。