数据科学与大数据技术专业人才培养目标探析——以地方石油类高校为例  

Analysis of Talent Training Objectives of Data Science and Big Data Technology Major:Taking Local Petroleum Colleges and Universities as an Example

作　　者：吴娟 陈清礼[1] 白敏 WU Juan;CHEN Qing-li;BAI Min(College of Geophysics and Petroleum Resources,Yangtze University,Wuhan,Hubei 430100,China)

机构地区：[1]长江大学地球物理与石油资源学院,湖北武汉430100

出　　处：《教育教学论坛》2021年第20期5-8,共4页Education And Teaching Forum

基　　金：2019年度国家自然科学基金“基于字典学习的多震源数据高效高精度最小二乘偏移方法研究”(41904110);2019年度湖北省博士后科技活动择优资助“字典学习稀疏约束的多震源数据最小二乘偏移方法研究”(9621000817)。

摘　　要：大数据作为国家基础性战略资源,已经成为当前学术界、工业界关注的热点和焦点。在全国高等教育“双一流”建设的新形势下,学校如何根据自身教学资源与办学条件,科学定位大数据专业人才培养目标,合理设置人才培养方案,准确把握行业人才需求,培养适应社会经济发展需要的技术人才,促进专业可持续发展,是专业建设必须考虑的首要问题。以长江大学地球物理与石油资源学院为例,从专业内涵、专业建设基础、专业应用前景等方面出发,对数据科学与大数据技术专业人才培养目标和实践教学进行了阐述和研究。As a national basic strategic resource,big data has become the focus of academia and industry.Under the new situation of“double first-class”construction of national higher education,how to scientifically position the talent training objectives of big data major,reasonably set up talent training programs,accurately grasp the talent demand of the industry,cultivate technical talents to meet the needs of social and economic development,and promote the sustainable development of the major according to their own teaching resources and school running conditions is the primary consideration of major construction questions.Taking the College of Geophysics and Petroleum Resources of Yangtze University as an example,the paper expounds and studies the talent training objectives and practical teaching of data science and big data technology from the aspects of professional connotation,professional construction foundation and professional application prospect.

关 键 词：数据科学 大数据技术 地方石油高校 

分 类 号：G3[文化科学]