 从面向过程到面向对象  如何规约对象？——抽象！  Abstract data type  ADT与软件开发

◼ Motivation & Background ◼ Best Paper: Information Manifold ◼ Building on the Foundation ◼ Data Integration Industry ◼ Future Challenges ◼ Conclusion

《商务智能：数据分析的管理视角 Business Intelligence, Analytics, and Data Science：A Managerial Perspective》教学资源（教师手册，原书第4版）02 Descriptive Analytics I：Nature of Data, Statistical Modeling, and Visualization

《商务智能：数据分析的管理视角 Business Intelligence, Analytics, and Data Science：A Managerial Perspective》教学资源（教师手册，原书第4版）01 An Overview of Business Intelligence, Analytics, and Data Science

 理解数据链路层服务原理:  差错检测和纠正  共享广播信道: 多址接入  链路层编址  可靠传输、流量控制：done!  链路层实现  以太网  虚拟局域网 5.1 introduction, services 5.2 error detection, correction 5.3 multiple access protocols 5.4 LANs ▪ addressing, ARP ▪ Ethernet ▪ switches ▪ VLANS 5.5 link virtualization 5.6 data center networking 5.7 a day in the life of a web request

8.1 Explore some of the emerging technologies that may impact analytics, business intelligence (BI), and decision support 8.2 Describe the emerging Internet of Things (IoT) phenomenon, potential applications, and the IoT ecosystem 8.3 Describe the current and future use of cloud computing in business analytics 8.4 Describe how geospatial and location-based analytics are assisting organizations 8.5 Describe the organizational impacts of analytics applications 8.6 List and describe the major ethical and legal issues of analytics implementation 8.7 Identify key characteristics of a successful data science professional

Data Norm for Retrieval and Evaluation of Chinese Academic Journal(CD)

◼ Introduction of Spatial data ◼ Spatial Query Language ◼ Spatial Index Structures ◼ Spatial Query Process and Optimization

Introduction to Heterogeneous Parallel Computing CUDA C vs. CUDA Libs vs. OpenACC Memory Allocation and Data Movement API Functions Data Parallelism and Threads

• Study increasingly sophisticated parallel merge kernels • Observe the combined effects of data - dependent execution and a lack of data parallelism on GPU algorithm design