大数据背景下研究生自主选题的误区及建议——以船海工程及相近学科为例  

Misunderstandings of Independent Researching and Suggestions for Postgraduate under the Background of Big Date References——Take the ship and sea engineering and similar disciplines as examples

作　　者：倪永燕[1] 朱仁庆 NI Yongyan;ZHU Renqing(School of Naval Architecture and Ocean Engineering,Jiangsu University of Science and Technology,Zhenjiang,Jiangsu 212003)

机构地区：[1]江苏科技大学船舶与海洋工程学院,江苏镇江212003

出　　处：《科教导刊》2018年第29期44-45,共2页The Guide Of Science & Education

基　　金：国家自然科学基金(青年基金)资助(编号:51209108)

摘　　要：在大数据背景下如何获取优质信息并正确选题是当前研究生所面对的一个现实问题。盲目地跟随热门或者过度追求前沿都是不现实的。应当在有效获取大数据信息的条件下,跟踪并批判性地研读国外国内知名机构的研究成果。横向上适度的学科交叉,纵向上合理把握所研究领域的科学技术问题以及相关研究手段在各个历史阶段所存在的问题以及里程碑式研究成果。Under the background of big date references, it is a critical issue for the postgraduates to independently determine the research subject as it is very difficult for them to get the useful information. It is both of non-reality to follow the fashion or pursue the cutting edge. The efficient big data ought to be examined in prior. Those materials by outstanding agencies both domestic and aboard are suggested to be followed and critically reviewed. Modest interdisciplinary in spatial way is encour-aged, and technology history in temporal that includes the milestone works and the breakthrough for both technical approaches and theoretical problems should be outlined and coherently understood.

关 键 词：研究生选题 大数据 优质信息 技术史 

分 类 号：G643[文化科学—高等教育学]