“数据科学概论”课程设计  

Course design of the "Introduction to Data Science"

作　　者：覃雄派[1] 陈跃国[1] 杜小勇[1] 王伟娟 

机构地区：[1]中国人民大学信息学院,北京100872 [2]中国人民大学出版社,北京100872

出　　处：《大数据》2017年第6期102-111,共10页Big Data Research

摘　　要：大数据时代已经到来,为了挖掘大数据的价值,社会急需大量合格的数据科学家,数据科学家的培养是一个紧迫的问题。提出了三大课程群的课程体系建设思路,其中"数据科学概论"是数据科学课程群的导论和入门性质的一门课程。本课程通过案例对关键技术的原理进行介绍,提供了中等规模实际问题的全流程实践案例,有利于学生掌握。数据科学是一门交叉学科,课程应该体现学科交叉的特点。对于时间序列数据,从统计学视角和数据挖掘/机器学习视角,对其分析和建模技术进行了介绍和比较。Big data era has arrived. In order to extract the value from big data, the community needs a large number of qualified data sdentists. The training of data scientists is a pressing problem. School of Information Renmin University of China （Computer Science Department） proposed the construction thinking of building a curriculum system of three course groups, among them ＂Introduction to Data Science＂ is an introductory course of the data science course group. Firstly. the key technologies were introduced by cases for students to easily grasp the basic idea were introduced. Besides that, in order to enhance students＇ ability to analyze real problems （complex engineering problems） and to solve them, a whole-process practice case for a medium- sized practical problem was provided. Data science is an interdisciplinary subject, the course should reflect the interdisciplinary characteristics. For example, for time series data, the methods from statistics perspective and data mining / machine learning perspective to model and analyze the data, some comparison of the methods was given.

关 键 词：数据科学 课程群 数据科学概论 课程设计 

分 类 号：TP311.13[自动化与计算机技术—计算机软件与理论]