Part I Vocabulary& Structure(20%) Section A 1. IfI _you, I would not do it. A.was B.am C.were D. be

Part I Vocabulary(30%) Section 1 Give a synonym for each of the following words(10%). 1. would-be 2. pungent 3. oblivious 4. inhibited 5.frigid 6. wring

1. Issued: Monday, February 7 2. To Be Completed By: Friday, February 18, 6: 00 PM

Department of Electrical Engineering and Computer Science 6.001- Structure and Interpretation of Computer Programs Spring semester 2005 Project O Issued: Tuesday, February 1 o Be Completed By: Friday, February 4 6:

Task Team of FUNDAMENTAL ACCOUntING hool of Business, Sun Y at-sen University Lesson 14 Managerial Accounting Il: Application L. True and False Questions Decision making is a distinct management activity that should be separated from budgeting

16.61 Aerospace Dynamics Spring 2003 Lagrange's equations Joseph-Louis lagrange 1736-1813 http://www-groups.dcs.st-and.ac.uk/-history/mathematicians/lagranGe.html Born in Italy. later lived in berlin and paris Originally studied to be a lawyer

Paths in graphs Consider a digraph g=(v, E)with edge-weight function w:E→>R. The weight of path p=v1→ →>…→> vi is defined to be (D)=∑(n,1)

Ch.8 Nonspherical Disturbance This chapter will assume that the full ideal conditions hold except that the covari- ance matrix of the disturbance, i.e. E(EE)=02Q2, where Q is not the identity matrix. In particular, Q may be nondiagonal and / or have unequal diagonal ele- ments Two cases we shall consider in details are heteroscedasticity and auto-

where a subscribed element of a matrix is always read as arou, column. Here we confine the element to be real number a vector is a matrix with one row or one column. Therefore a row vector is Alxk and a column vector is AixI and commonly denoted as ak and ai,respec- tively. In the followings of this course, we follow conventional custom to say that a vector is a columnvector except for

Ch. 15 Forecasting Having considered in Chapter 14 some of the properties of ARMA models, we now show how they may be used to forecast future values of an observed time series. For the present we proceed as if the model were known ecactly Forecasting is an important concept for the studies of time series analysis. In the scope of regression model we usually