大数据专业《数据清洗技术》课程教学初探  

On the Teaching of Data Cleaning Technology for Big Data Specialty

作　　者：贾立秀 林忠[1] 韩磊[1] JIA Lixiu;LIN Zhong;HAN Lei(School of Computer Engineering,Nanjing Institute of Technology,Nanjing,Jiangsu Province,211167 China)

机构地区：[1]南京工程学院计算机工程学院,江苏南京211167

出　　处：《科技创新导报》2021年第19期129-131,共3页Science and Technology Innovation Herald

基　　金：南京工程学院校级科研基金项目(项目编号:YKJ201978);江苏省高层次创新创业人才引进计划“双创博士”项目(项目编号:(2020)30696);南京工程学院优质课程建设项目(项目编号:YZKC2019041);南京工程学院高等教育研究重点项目(项目编号:2019ZD02)。

摘　　要：随着大数据和云计算等新兴技术的发展,数据科学与大数据专业应运而生。本文根据应用型本科人才培养的特点和要求,结合笔者开设的数据清洗技术课程的经验,初步探讨了该课程的教学目的、教学内容和考核方法等课程教学设计问题。现阶段开设的数据清洗技术课程重点培养学生掌握专业基础理论知识和提高工程实践能力,凸显其专业核心类课程的地位,注重与大数据人才需求的接轨。With the development of emerging technologies such as big data and cloud computing,majors in data science and big data emerged.According to the characteristics and requirements of application-oriented undergraduate talent training,the author combines her own experience in Data Cleaning Technology course to preliminarily discuss the course teaching design issues such as the course's teaching purpose,teaching content and assessment methods.Data Cleaning Technology course offered at this stage focuses on cultivating students to master basic professional theoretical knowledge and improve engineering practice capabilities,highlighting its status as core professional courses,and focusing on the integration of big data talent needs.

关 键 词：数据科学 大数据技术 数据清洗技术 教学初探 

分 类 号：TP311.13-4[自动化与计算机技术—计算机软件与理论] G642[自动化与计算机技术—计算机科学与技术]