2.1 软件体系结构建模概述 ◎ 结构模型 ◎ 框架模型 ◎ 动态模型 ◎ 过程模型 ◎ 功能模型 2.2 “4+1”视图模型

Simplistic Model Physical Structure Threshold Voltage Long Channel Current Equations Regions of Operation Transconductance Channel Length Modulation CMOS Processing Technology MOS Layout Device Capacitances Device Capacitances Passive Devices Small Signal Models Circuit Impedance Equivalent Transconductance Short-Channel Effects Drain-Induced Barrier Lowering (DIBL) Effects of Velocity Saturation Hot Carrier Effects

 Web Service的概念  SOAP  WSDL  REST vs XML-RPC vs SOAP vs …  DATA BINDING  WS-security  WS-Notification  WS-Transaction…..  开发一个WebService  XFire 1.x  Axis 1.x/2.x  开发一个Web Service实例  WebService相关技术  AJAX  JMS  BPEL  Grid  SOA

10.1 Hadoop总体架构 10.2 HDFS文件系统 10.3 分布式存储架构 10.4 Hadoop资源管理与作业调度

 分布式系统概述  什么是Web服务  面向服务的体系结构  SOA的功能描述与质量属性  SOA的基本特性  SOA的优势与挑战

3.1 软件体系结构风格概述 3.2 经典软件体系结构风格 3.3 客户/服务器风格 3.4 三层客户/服务器风格 3.5 浏览器/服务器风格 3.6 公共对象请求代理体系结构

10.1 Chapter highlights • Parameter estimation problem formulation • Properties of estimators • Bayes estimation • Minimax estimation • Maximum-likelihood estimation • Comparison of estimators of parameters 10.2 Formulation of the general parameter estimation problem 10.3 Types of estimation problems 10.5 Properties of estimators 10.6 Bayes estimation 10.7 Minimax estimation 10.8 Maximum-likelihood estimation

11.1 Chapter highlights • Parameter estimation in WGN • Amplitude estimation in the coherent case • Amplitude estimation in the noncoherent case • Phase estimation in WGN • Time-delay estimation in WGN • Frequency estimation in WGN 11.2 Parameter estimation in WGN 11.4 Amplitude estimation in the coherent case with WGN 11.5 Amplitude estimation in the noncoherent case with WGN 11.6 Phase estimation in WGN 11.7 Time-delay estimation in WGN 11.8 Frequency estimation in WGN

6.1 Chapter highlights • Composite hypothesis testing. • Unknown phase. • Unknown amplitude. • Unknown frequency. • Unknown time of arrival. 6.2 Composite hypothesis testing 6.3 Unknown phase 6.4 Unknown amplitude 6.5 Unknown frequency 6.6 Unknown time of arrival

4.1 Chapter highlights • Hypothesis testing and the MAP criterion • Extension to the general Bayes criterion • Minimax criterion • Neyman-Person criterion 4.2 Hypothesis testing & MAP criterion 4.3 Bayes criterion 4.4 Minimax criterion 4.5 Neyman-Pearson criterion