11.1 Cable Transmission of Analog Voltage and Current Signals 11.2 Cable Transmission of Digital Data 11.3 Fiber-Optic Data Transmission 11.4 Radio Telemetry 11.5 Pneumatic Transmission 11.6 Synchro Position Repeater Systems 11.7 Slip Rings and Rotary Transformers 11.8 Instrument Connectivity 11.9 Data Storage with Delayed Playback (an Alternative to Data Transmission)

Chapter 11 Topics o Meaning of a Structured Data Type Declaring and Using a struct Data Type & C++ union Data Type s Meaning of an Abstract Data Type Declaring and Using a class Data Type Using Separate Specification and Implementation Files

Sorting: There is a series of data in random order, we sort them depending a certain key word. Datalist: an finity set of data waiting to be sorted. Key: data object has many attribute areas, namely there are many data element, one of all these elements can be used to distinguish object, we use it as sorting key. we also call it sorting code

1 The Era of Big Data 2 Big Data Characteristics 3 A Big Data Processing Framework 4 Streaming Data and Streaming Features Outline 5 Concluding Remarks

 What is data stream?  What is Concept Drift?  Data stream classification  Data stream clustering

14.1 INTRODUCTION 14.2 WHAT IS DATA 14.3 DESCRIBING VARIABLES 14.4 THE CONCEPT OF A STATISTICAL DISTRIBUTION 14.5 SUMMARY 14.6 THE NATURE OF A SAMPLE 14.8 DESCRIBING SAMPLE DATA 14.7 DATA ANALYSIS USING SAMPLE DATA 14.9 INVESTIGATING RELATIONSHIPS BETWEEN VARIABLES

 Motivation – Why do we need big data integration? – How has “small” data integration been done? – Challenges in big data integration  Schema alignment  Record linkage  Data fusion  Emerging topics

Unit 7 The Fundamentals of computer Software Text 1 Data Structure A data structure is a data type. Its values are composed of component elements that are related by some structure Since a data structure is a data type, it has a set of operations on its values. In addition, there

A True panel vs a Pooled cross section Often loosely use the term panel data to refer to any data set that has both a cross sectional dimension and a time-series dimension More precisely it's only data following the same cross-section units over time Otherwise it's a pooled cross-section Economics 20- Prof anderson

3.1 Definition of data structure 3.2 Stacks 3.3 Queues 3.4 Linked lists 3.5 Trees 3.6 Postfix expression 3.7 Infix to postfix conversion