1 Page

IAH 201 4.9.07 part 2

Course: IAH 201, Spring 2007
School: Michigan State University
Rating:
 
 
 
 
 

Word Count: 195

Document Preview

US II. management of war information B. Messages of management 3. Japanese as automatons and fanatics, blindly following the emperor Samurai tradition: historically brutal killers who idealized bravery and fanatic loyalty, as well as treachery towards enemies 4. Racial war: Japanese as yellow peril, as animals III. Japanese management of war information Propaganda: messages of management a. Japanese as pure race...

Register Now

Unformatted Document Excerpt

Coursehero >> Michigan >> Michigan State University >> IAH 201

Course Hero has millions of student submitted documents similar to the one
below including study guides, practice problems, reference materials, practice exams, textbook help and tutor support.

Course Hero has millions of student submitted documents similar to the one below including study guides, practice problems, reference materials, practice exams, textbook help and tutor support.
US II. management of war information B. Messages of management 3. Japanese as automatons and fanatics, blindly following the emperor Samurai tradition: historically brutal killers who idealized bravery and fanatic loyalty, as well as treachery towards enemies 4. Racial war: Japanese as yellow peril, as animals III. Japanese management of war information Propaganda: messages of management a. Japanese as pure race -They were pure genetically, a homogeneous people who emperor traced his genes back to the divine -Pure spiritually -War purified them, lifted the individual to a higher place of moral consciousness and behavior, getting rid of selfish and materialistic preoccupations is "Extravagance the enemy"-Japanese government slogan Fighting and dying for the Emperor: In the battle of Attu in the Aleutians 1943, 2500 Japanese soldiers fougt to the very last man against a force that outnumbered them 5 to 1. Japanese government coined the phrase "gyokusai": jewel smashed b. Westerners as barbarians and demons "The Bestial American People" c. Japanese as leading race in the world a. "Global Policy with the Yamato Race as Nucleus" i. Government guide to establishing Greater East Asian Co-Prosperity Sphere: world was to be divided by racial or ethnic group, each in its "proper place"
Textbooks related to the document above:
Find millions of documents on Course Hero - Study Guides, Lecture Notes, Reference Materials, Practice Exams and more. Course Hero has millions of course specific materials providing students with the best way to expand their education.

Below is a small sample set of documents:

Michigan State University - IAH - 201
IAH 201 4.25.07 II. Hate speech regulation before WWII D. clashes between civil liberties and racial groups before 1945 2. Anti-Nazi laws Jewish groups pushed for protection from racist provocation New Jersey Race Hate Law, 1934: made it illegal to d
Michigan State University - IAH - 201
IAH 201 Wednesday, April 18, 2007 Propaganda and Censorship in the People's Republic of China 1) Central Propaganda Department 2) The People's Republic of China founded in 1949 3) Propaganda a) Educate the People i) Using the Newspaper, theater, musi
Texas A&M - MATH - 222
Chapter 16 Numerical Linear Algebra16.1 Sets of Linear EquationsMATLAB was developed to handle problems involving matrices and vectors in an efficient way. One of the most basic problems of this type involves the solution of a system of linear equa
Texas A&M - MATH - 442
Exerpt from A MATLAB Companion for Multivariable Calculus by Jeffery Cooper, Harcourt/Academic Press, 2001.1.The Command LineIn this chapter, we discuss operations that can be performed from the command line. In Chapter 2, we discuss mfiles and
Texas A&M - MATH - 442
Partial Differential Equations in MATLAB 7.0P. Howard Spring 2005Contents1 PDE in One Space Dimension 1.1 Single equations . . . . . . . . . . . . . . . . . 1.2 Single Equations with Variable Coefficients . . 1.3 Systems . . . . . . . . . . . . .
Texas A&M - MATH - 442
MATLAB 7.4 BasicsP. Howard Fall 2007Contents1 Introduction 1.1 The Origin of MATLAB . . . . . . . . . . . . 1.2 Starting MATLAB at Texas A&M University 1.3 The MATLAB Interface . . . . . . . . . . . . 1.4 Basic Computations . . . . . . . . . . .
Texas A&M - MATH - 442
Notes for TUT course MAT-51316 Robert Pich e 2.9.2007 1 Transport Equation Initial Value Problem how to derive the one dimensional transport equation how to solve initial value problems for this equation using the method of characteristics how to
Texas A&M - MATH - 442
Notes for TUT course MAT-51316 Robert Pich e 4.9.2007 3 Maximum Principle for 1-D Diffusion EquationTheorem: If ut = kuxx in (0, l) [0, T ] then u achieves its maximum in R = [0, l] [0, T ] at t = 0 or at x = 0 or at x = l (and possibly elsewhere
Texas A&M - MATH - 442
Solving ODE in MATLABP. Howard Fall 2007Contents1 Finding Explicit Solutions 1.1 First Order Equations . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1.2 Second and Higher Order Equations . . . . . . . . . . . . . . . . . . . . . . .
Texas A&M - MATH - 442
Notes for TUT course MAT-51316 Robert Pich e 10.9.2007 4 Plot Solution of 1D Diffusion IVPThe solution of the one dimensional diffusion equation ut = kuxx with initial condition u(x, 0) = (x) is given by the convolution integralu(x, t) =-S(x
Texas A&M - MATH - 442
Notes for TUT course MAT-51316 Robert Pich e 4.9.2007 2 Wave Equation Models vibrating string vibrating membraneHow to derive the PDE for2.1Vibrating StringConsider the motion of a thin string moving in the xz plane. Assume that points of t
Texas A&M - STAT - 211
PROBABILITY, STATISTICS, AND RANDOM PROCESSES EE 351KINDEX! factorial . 3, 24 1st fundamental theorem of probability. 16 2nd fundamental theorem of probability. 17 absorbing matrices. 21 absorption probability. 21 time . 21 approximation theorem. 1
Texas A&M - STAT - 211
Crib Sheet for Exam #1 Statistics 211 1 Chapter 1: Descriptive StatisticsSample Average n 1 x = n i=1 xi To caluclate the p'th percentile x[p] : 1. 2. 3. 4. Let x(i) refer to our data set in ascending order. Let ip = np/100. Find the first index i
Texas A&M - STAT - 211
Crib sheet for Exam II Chapter 5: Joint Probability Distributions The marginal probability mass functions of two discrete rv's X and Y , denoted by pX (x) = P (X = x) and pY (y) = P (Y = y), respectively are given by: pX (x) =yp(x, y)pY (y) =x
Texas A&M - STAT - 211
Review for last part of Exam #3/Final Statistics 211 1 Chapter 8: One Sample Hypothesis TestsZ= Alternative hypothesis Ha : > 0 Ha : < 0 Ha : = 0 Type II Error Formulas for ( ) Alternative hypothesis Ha : > 0 Ha : < 0 Ha : = 0 Type II erro
Texas A&M - MATH - 222
PROPERTIES OF MATRICESINDEXadjoint.4, 5 algebraic multiplicity .7 augmented matrix.3 basis.3, 7 cofactor .4 coordinate vector .9 Cramer's rule.1 determinant.2, 5 diagonal matrix .6 diagonalizable.8 dimension .6 dot product .8 eigenbasis .7 eigenspa
Texas A&M - MATH - 220
BAIN MUSC 525 Post-Tonal Music TheorySet Theory"A set may be viewed as any well-defined collection of objects; the objects are called the elements or members of the set." "The concept of a set appears in all branches of mathematics. This concept f
Texas A&M - MATH - 220
0.3Set Theory10.3 Set TheoryThere is nothing new about the concept of a "set" composed of elements such that some property is true. Euclid spoke of geometric loci , a locus being the set of points defined by some property. But historically, ma
Texas A&M - MATH - 220
THEOREM OF THE DAYMathematical SymbolsBelow are brief explanations of some commonly occurring symbols in mathematics presented in more or less haphazard order (the list is not intended to grow so long as to make this irksome). A word of caution -
Texas A&M - MATH - 220
Mathematical SymbolsGood Problems: April 16, 2004You will encounter many mathematical symbols during your math courses. The table below provides you with a list of the more common symbols, how to read them, and notes on their meaning and usage. T
Texas A&M - MATH - 308
Fall 2003 Math 308/501502 1 Introduction 1.1 Background c 2003, Art Belmonte Mon, 01/SepSummaryWhen modeling applications, equating the rate at which a quantity changes (a derivative) with an application-specific way of formulating the rate of chan
Texas A&M - MATH - 220
MAT067University of California, DavisWinter 2007Some Common Mathematical Symbols and Abbreviations (with History)Isaiah Lankham, Bruno Nachtergaele, Anne Schilling (January 21, 2007)Binary Relations= (the equals sign) means "is the same as"
Texas A&M - MATH - 220
Useful Mathematical Symbols and ExpressionsSymbol AB f () : A B | [a, b] [a, b) P (A) / 0 Name belongs to for all there exists subset product of sets function mapping given that closed interval right-open power set empty set infinity and or
Texas A&M - MATH - 220
Math 220 October 9, 2003 To PROVE a statement of the form. In each case below, we assume we want to prove a statement of the given form. Some forms can be handled by more than one technique. P Q: Prove both P and Q. P : Usually this comes in the f
Texas A&M - MATH - 220
Making Mathematical Notes1Notes On Making Mathematical Notes For Your CourseC.T.J. Dodson, School of Mathematics, Manchester UniversityThis is a summary of guidance notes for students on mathematical language, symbols, logic and proofs, and on
Texas A&M - MATH - 220
A List of Tautologies1. 2. 3. 4. 5. 6. P P (P P ) P P a) P (P P ) b) P (P P ) P P a) (P Q) (Q P ) b) (P Q) (Q P ) c) (P Q) (Q P ) a) (P (Q R) (P Q) R) b) (P (Q R) (P Q) R) a) (P (Q R) (P Q) (P R) b) (P (Q R) ((P
Texas A&M - MATH - 220
LAWS AND THEOREMS OF BOOLEAN ALGEBRADistributive laws: X(Y + Z) = XY + XZ Simplification theorems: XY + XY' = X X + XY = X (X + Y')Y = XY Multiplying out and Factoring: (X + Y)(X' + Z) = XZ + X'Y Consensus theorem: XY + YZ + X'Z = XY + X'Z Exclusive
Texas A&M - MATH - 220
Fall 2003 Math 308/501502 1 Introduction 1.D Autonomous Equations, Stability, and the Phase Line c 2003, Art Belmonte Fri, 05/SepSummary An equilibrium point to which some nearby solutions are attracted and from which others are repelled is called
Texas A&M - MATH - 308
Fall 2003 Math 308/501502 Numerical Methods 1.4 Euler's Method c 2003, Art Belmonte Fri, 24/OctSummaryGeometrical idea Euler's method numerically approximates the solution of y = f (t, y), y(a) = y0over time), the maximum total error of the appro
Texas A&M - MATH - 308
Fall 2003 Math 308/501502 1 Introduction 1.3 Direction Fields c 2003, Art Belmonte Fri, 05/SepSummaryA first-order differential equation in normal form is written d y/dt = y = f (t, y). Here t is the independent variable (think of time) and y is th
Texas A&M - MATH - 308
Fall 2003 Math 308/501502 2 First-Order Differential Equations 2.2 Separable Equations c 2003, Art Belmonte Mon, 08/SepSummarySeparable first-order equations have the form g(t) dy = or dt h(y)picture drawn with MATLAB. (See the MATLAB Examples be
Texas A&M - MATH - 308
Fall 2003 Math 308/501502 3 Modeling and Applications 3.5 Electrical Circuits c 2003, Art Belmonte Mon, 22/SepSummarySolution The SLF I +R LI =E Lreveals integrating factor = e Rt/L . Thus R I L = = = E Rt/L e L E Rt/L e L E Rt/L e +K R E
Texas A&M - MATH - 308
Spring 2003 Math 308/501502 4 Linear Second-Order Equations 4.5 Method of Undetermined Coeffs c 2003, Art Belmonte Wed, 01/OctSummaryThe method of undetermined coefficients is dealt with in full generality in the Section 6.3 lecture, q.v. In this l
Texas A&M - MATH - 308
Fall 2003 Math 308/501502 4 Linear Second-Order Equations 4.9 Forced Mechanical Vibrations c 2003, Art Belmonte Fri, 03/OctSummary2 When x + cx + 0 x = A cos t, we have a sinusoidal forcing term. The constant A is the amplitude of the driving force
Texas A&M - MATH - 308
Executive Summary of the CP! Fall 2003 Math 308/501502 2 First-Order Differential Equations 1. SLF: y + Py = Q. 2.3 Linear Equations 2. IF: = exp( P). c 2003, Art Belmonte Wed, 10/Sep SummaryWe saw in 1.1 that a first-order linear differential equa
Texas A&M - MATH - 308
Hand Examples Fall 2003 Math 308/501502 3 Mathematical Models Example A 3.2 Compartmental Analysis A tank initially contains 100 gal of a salt-water solution c 2003, Art Belmonte containing 0.05 = 1 lb of salt for each gallon of water. At time Mon, 1
Texas A&M - MATH - 308
Fall 2003 Math 308/501502 3 Mathematical Models 3.3 Heating and Cooling [of Buildings] c 2003, Art Belmonte Wed, 17/SepSummaryNewton's Law of Cooling/Heating The rate of change d Q/dt of the temperature of an object is proportional to the differenc
Texas A&M - MATH - 308
Fall 2003 Math 308/501502 3 Mathematical Models 3.4 Newtonian Mechanics c 2003, Art Belmonte Fri, 19/SepSummaryWe'll use Newton's theory of motion from physics to model linear motion. Our starting point is Newton's second law, F = ma which says tha
Texas A&M - MATH - 308
Hand Examples Fall 2003 Math 308/501502 4 Linear Second-Order Equations Example A 4.3 Auxiliary Eqs with Complex Roots c 2003, Art Belmonte Find a general solution of y Mon, 29/Sep SummaryTerminology and Solutions Solution+ 4y = 0.The characteri
Texas A&M - MATH - 220
August 29, 2007 Math 366-Logic Handout In mathematics, it is very important to be able to show that something is correct. This occurs even in elementary school when one shows that six five's is the same number as five six's, or that one piece of a pi
Texas A&M - MATH - 308
Spring 2003 Math 308/501502 4 Linear Second-Order Equations 4.4 Method of Undetermined Coeffs c 2003, Art Belmonte Wed, 01/OctSummaryThe method of undetermined coefficients is dealt with in full generality in the Section 6.3 lecture, q.v. Examples
Texas A&M - MATH - 308
Fall 2003 Math 308/501502 4 Linear Second-Order Equations 4.8 Free Mechanical Vibrations c 2003, Art Belmonte Fri, 03/OctSummarySimple harmonic motion2 When c = 0 and f (t) = 0, we have x + 0 x = 0, whence x = c1 cos 0 t + c2 sin 0 t via 4.3 tech
Texas A&M - MATH - 308
Fall 2003 Math 308/501502 6 Theory of Higher-Order Linear ODEs 6.1 Basic Theory of Linear ODEs c 2003, Art Belmonte Wed, 24/SepSummaryWe give an overview of the theory of nth order linear differential equations; here n 1. Of course, the case where
Texas A&M - MATH - 308
Fall 2003 Math 308/501502 7 Laplace Transforms 7.4 Inverse Laplace Transform c 2003, Art Belmonte Mon, 13/OctSummaryTheorem If f and g are continuous functions whose Laplace transforms are such that L { f } (s) = L {g} (s) for s > a, then f (t) = g
Texas A&M - MATH - 308
Fall 2003 Math 308/501502 9 Matrix Methods for Linear Systems 9.2 Linear Algebraic Equations c 2003, Art Belmonte Fri, 07/NovSummaryLinear system of n algebraic equations This is a system in the n unknown functions x 1 , x 2 , . . . , x n , that ha
Texas A&M - MATH - 308
Fall 2003 Math 308/501502 9 Matrix Methods for Linear Systems 9.1 Introduction (to [Linear] Systems) c 2003, Art Belmonte Wed, 05/NovSummaryGeneral first-order systems A general first-order system of n differential equations in the n unknown functi
Texas A&M - MATH - 308
MATLAB Examples Fall 2003 Math 308/501502 6 Higher-Order Linear Differential Eqs To facilitate computation of the Wronskian matrix, I wrote a function M-file named wron. Type "help wron" at a MATLAB 6.4/4.6 Variation of Parameters prompt to learn abo
Texas A&M - MATH - 308
Hand Examples Fall 2003 Math 308/501502 2 First-Order Differential Equations Example A 2.4 Exact Equations dy 2.5 Special Integrating Factors Determine if the DE dx c 2003, Art Belmonte Fri, 12/Sep SummaryA differential form in x and y is an express
Texas A&M - MATH - 308
Fall 2003 Math 308/501502 9 Matrix Methods for Linear Systems 9.8 The Matrix Exponential Function c 2003, Art Belmonte Wed, 03/DecSummaryIn the following, let A and B be (real) n n constant matrices, let r be an eigenvalue of A, and let v be an ei
Texas A&M - MATH - 308
EIGENVECTORSMethod for solving systems of first order differential equations using eigenvalues and eigenvectors9. p288x1 ' = 2 x1 - 5x 2 x 2 ' = 4 x1 - 2 x 2x1 ( 0 ) = 2, x 2 (0 ) = 3The problem can be rewritten x ' = 42 - 5 x - 2 Defin
Texas A&M - MATH - 308
CHARACTERISTIC EQUATIONSMethods for determining the roots, characteristic equation and general solution used in solving second order constant coefficient differential equationsThere are three types of roots, Distinct, Repeated and Complex, which d
Texas A&M - MATH - 308
Texas A&M - MATH - 308
EXACT EQUATIONSolving an Exact first order differential equation from section 1.6 p62. See the document FirstOrderDiffEq.pdf for a comparison between this and other methods.THE PROBLEM 31. p62(2 x + 3 y )dx + (3x + 2 y )dy = 0Find the general
Texas A&M - MATH - 308
Spring 2003 Math 308/501502 6 Theory of Higher-Order Linear ODEs 6.3 Method of Undetermined Coeffs c 2003, Art Belmonte Wed, 01/OctSummaryA nonhomogeneous linear ODE of order n with real constantn1. First obtain a general solution yh of L[y] = 0
Texas A&M - MATH - 308
Fall 2003 Math 308/501502 6 Theory of Higher-Order Linear ODEs 6.2 Homogeneous Linear Equations with Constant Coefficients c 2003, Art Belmonte Fri, 26/SepSummaryA homogeneous linear differential equation of order n with realnor Mc = 0, whence c
Texas A&M - MATH - 308
SOLVING FIRST ORDER DIFFERENTIAL EQUATIONSMethods for solving Linear, Exact, Separable, Homogeneous, and Bernoulli typesLinear1. Rewrite in the formdy dxSeparable1. Rewrite in the form+ ( terms of x ) y = ( terms of x )P ( x ) dx( terms
Texas A&M - MATH - 308
DIFFERENTIAL EQUATIONS DEFINITIONSA Glossary of Terms respect to y is equal to the partial derivative of N with respect to x. analytic - In terms of a power series means converging, having a non-zero denominator GRAPHING TERMS periodicity - the repe
Texas A&M - MATH - 308
Fall 2003 Math 308/501502 9 Matrix Methods for Linear Systems 9.B Matrix Laplace Transform Method c 2003, Art Belmonte Mon, 08/DecSummaryThe Last Hurrah This is it campers: the Grand Finale, where we marry Laplace transform techniques with matrix m
Texas A&M - MATH - 308
VARIATION OF PARAMETERSMethod for solving a non-homogeneous second order differential equation This method is more difficult than the method of undetermined coefficients but is useful in solving more types of equations such as this one with repeated
Texas A&M - MATH - 308
f (t ) = L 1. 3. 5. 7. 9. 11. 1-1{F ( s )}Table of Laplace Transforms F ( s ) = L { f ( t )} f ( t ) = L -1 { F ( s )} 1 s n! s n +1 2. 4. 6. 8.2F ( s ) = L { f ( t )} 1 s-a G ( p + 1) s p +1 1 3 5L ( 2n - 1) p 2n s 2 s 2 s + a2 s2 - a22
Texas A&M - MATH - 308
Fall 2003 Math 308/501502 7 Laplace Transforms 7.2 Definition of the Laplace Transform c 2003, Art Belmonte Wed, 08/OctSummaryDefinitions Given a function f of t, the Laplace transform of f is a function L { f } (s) = F(s) defined by L { f } (s) =