Big Data Project

Module 1: Big Data Lab

This course module presents participants with a series of exercises and problems designed to test their ability to apply knowledge of topics covered previously in course modules 1 and 2. Completing this lab will help highlight areas that require further attention, and will further prove hands-on proficiency in Big Data analysis and technology and practices as they are applied and combined to solve real-world problems.

Data mining and machine learning

Machine Learning relates with the study, design and development of the algorithms that give computers the capability to learn without being explicitly programmed (definition of Arthur Samuel). Data Mining can be defined as the process that starting from apparently unstructured data tries to extract knowledge and/or unknown interesting patterns. During this process machine Learning algorithms are used.

Big Data Analysis

This course is divided into three modules:

Module 1: Fundamental Big Data Analysis & Science

This module provides an in-depth overview of essential topic areas pertaining to data science and analysis techniques relevant and unique to Big Data with an emphasis on how analysis and analytics need to be carried out individually and collectively in support of the distinct characteristics, requirements and challenges associated with Big Data datasets. The following primary topics are covered:




  • CS560 大数据基础
  • CS502 高级数据库系统
  • CS561 大数据工程
  • CS562 大数据分析


  • CS521 大数据和社交媒体
  • CS520 SQL编程
  • CS564 数据挖掘和机器学习
  • CS510 计算机隐私和道德
  • CS506 定量分析
  • CS507 Web应用程序
  • CS551 云计算基础
  • CS552 云安全和保障
  • CS553 基于云的Web技术
  • CS530 软件工程基础
  • CS501 软件要求规范
  • MGT501 财务与管理会计
  • MGT502 战略学
  • MGT503 营销学



  • CS603-604 大数据项目实习(6学分)


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