Chapter 11 Basics of Non-Ideal Flow Chapter 12 Compartment Models Chapter 13 The Dispersion Model Chapter 14 The Tanks-In-Series Model Chapter 15 The Convection Model for Laminar Flow

• Vector Space Model (VSM) • Latent Semantic Model (LSI) • Language Model (LM)

• Section 1: The need for a protocol architecture • Section 2: TCP/IP protocol architecture • Section 3: OSI model Learning outcomes: Describe the network protocol architectures and reference models

Context Chapter 9 introduced the model of aggregate demand and supply. Chapter 10 developed the IS-LM model, the basis of the aggregate demand curve. In Chapter 11, we will use the IS-LM model to see how policies and shocks affect income and the interest rate in the short run when prices are fixed

Ch. 6 The Linear model under ideal conditions The(multiple) linear model is used to study the relationship between a dependent variable(Y) and several independent variables(X1, X2, ,Xk). That is ∫(X1,X2,…,Xk)+ E assume linear function 1X1+B2X2+…+6kXk+E xB+ where Y is the dependent or explained

Assignment Reading Model-based Diagnosis-Lecture notes Propositional Logic AIMA Chapter 6 Problem set Model-based Diagnosis implementation Propositional Logic 16.413: Hello World implementation Due Monday, November 17th

General linear models Suppose that we have a model: 1 It is inherently linear for the parameters if it can be transformed into Examples: 1. Exponential model: Y

Classical Multiple linear regression model (CMLRM): 1. model 2. random sample

1. Suppose the linear regression model is如果不恒成立,则称误差项是序列相关的(自相关的)。(serial correlation) 2.产生序列相关的原因及序列相关的影响 1)原因 (1)经济行为的惯性或冲击的惯性(SARS) (2)模型误设(Model misspecification) 2、序列相关对估计与检验的影响与异方差性类似

Analysis Analyze existing circuits to determine their function Synchronous sequential circuit The basic modeling structure Two circuit models: Mealy model& Moore model Three approach used to describe the circuit: Logic function equation