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.
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:
MO St. Louis - ANTHRO - 120
Judaid YassirPakistanHow do we explain human behavior?Evolutionism (social darwinism)Sociobiology: determinism via biology; everything you do/think/believe isa chemical reaction.Empiricism: general scientific methodFunctionalism: people have needs,
MO St. Louis - ANTHRO - 120
Creation StoriesEarth diver myth:Scientific Revolution1450(ish) scientific model emerges: formulate a theory (hypothesis) and testagainst experimentation.Classification of living things:Linnaeus (1700s) turned this into a science: Taxonomy is the sc
MO St. Louis - ANTHRO - 120
Evolution is Non-directedSickle-Cell AnemiaA severe hereditary form of anemia in which a mutated form ofhemoglobin distorts the red blood cells into a crescent shape at lowoxygen levels. It is most common among those of African descentwheremalaria-in
MO St. Louis - ANTHRO - 120
TeethOur dental formula is 2-1-2-3 (Incisors, canine, pre-molars, molars); other specieshave much larger canine teeththe more sexually dimorphic, the larger thecanine teeth.Skeletal Differences:We have no tails (minus a few exceptions)Foramen Magnum
MO St. Louis - ANTHRO - 120
Social behavior of primates:Grooming: most common form of friendship: friendship, submission, orappeasement. All other primates (except for humans and bonobos) mate duringovulation period. Chimps mate 14-15 times a day.Visible ovulation: theoretically
MO St. Louis - ANTHRO - 120
Similarities between chimps and us:Behavioral aspects: parent-to-child bond, territorialism, male dominancy (malehunter), forming hunting traps and strategies, the use of tools, hereditary skill(paired with brute strength), sociality (some sort of commu
MO St. Louis - ANTHRO - 120
Archaeology & AnthropologyReconstruct, describe, and interpret the past through material remains.Artifactsmaterial items that humans have made or modifiedtools, weapons,camp sites, pottery, buildings, fire pits, garbage dumps. Concerned with thingspeo
MO St. Louis - ANTHRO - 120
Early BipedsPrimate Ancestor:Sahel Region of Djurab desert; South African areaFossil named ToumaiNearly complete skull, jaw fragments, teethMixture of chimp and human6-7myaLived in mixed habitat of savanna, forest, rivers, and lakes.Demonstrates t
MO St. Louis - ANTHRO - 120
A. Africanus and A. robustusSouth Africa 3-2.5myaAfricanusgracile (slighter; less muscle; like a Bonobo)Robustusrobust (more muscular)Large back teeth; also a larger species60% female dimorphicEvidence for scavenging or hunting; given the teeth and
MO St. Louis - ANTHRO - 120
Language originsTools, meat eating, brain expansionTool use did not necessitate languageHomo ErgasterGeorgiaformer soviet satelliteJawbone found in 1991Finds in 1999 proved the validity of the jawbone; providing context. An adultmale and adolescent
MO St. Louis - ANTHRO - 120
The culture of the archaic homo sapiensMiddle Paleolithic: 200-40kyaLevalloisian Technique (200-?kya): the first form of detailed cutting; a primitive knifeMousterian Tradition (166-40kya)Europe, western Asia, North AfricaNeanderthal culture begins u
MO St. Louis - ANTHRO - 120
MO St. Louis - ANTHRO - 120
Upper Paleolithic artPictorial art (wall art)Australia: 45kyaEurope: 32kyaRealistic, powerful, animalsDepicts hunting; animal/human forms; sympathetic magic; very largeimages painted very high on the ceilingMusicFlutes & whistlesVenus FigurinesD
MO St. Louis - ANTHRO - 120
Migration & DiffusionBolsters reproduction because of a stable food supplyLots of kids increase labor forceLabor force initiates spread: spread of farming skillsFarmers reproduce rapidlyCulture of Neolithic settlements/technologiesSickles, digging s
MO St. Louis - ANTHRO - 120
EthnolinguisticsLinguistic relativity (Sapir-Whorf hypothesis): the way you speak reflects howyou see the world (hard version: this determines the way you see the world, Soft:the way you speak influences the way you see the world)Ex: Gender (specified
MO St. Louis - ANTHRO - 120
Control of sexual relationsNature vs. CultureBiology of sex: good for the community () or disruptive of the community(e.g. jealousy)Cultural control of sex: marriage regulates your sexual relationships;marriage is meant to minimize the disruptive aff
MO St. Louis - ANTHRO - 120
The Incest TabooThe prohibition of sexual relations between specified individuals (at minimum:parent child)Not necessarily biological, but seems to carry over to other speciesIt seems that the parent-child rule is universalSome cultures advocate ince
MO St. Louis - ANTHRO - 120
Language and linguistic anthropologyLanguage: a system of communication using sounds or gestures that are puttogether in meaningful ways according to a set of rulesRules: grammar and informal rules (spoken or written)Cuneiform: the oldest known langua
MO St. Louis - ANTHRO - 120
DivorceIn societies with arranged marriages, divorce is much more difficult. It alsorequires a repayment of dowry.Acceptable or not:Family: two or more people related by blood, marriage, or adoption.Household: basic residential unit where economic pr
MO St. Louis - ANTHRO - 120
ProductionDistributionConsumptionWhich is the most important?Production for the Marxist, was paramount.In capitalism, consumption is the hot ticket.ProductionForaging (Hunting/Gathering)Started with erectus and archaic Homo sapiens.Foragers rely
MO St. Louis - ANTHRO - 120
PoliticsPatterned ways in which power is used to regulate behaviorIn the US you have the ability to meet with your senatorRelationship between power (the ability to influence others) and authority (theability to enact power legitimately)Bands (Diffic
MO St. Louis - ANTHRO - 120
Religion & MagicPolitics & Religion: not supposed to talk about these topics socially.Anthony F. C. WallaceBelief and ritual concerned with supernatural beings, powers, and forcesProblematic term, Belief is determined by asking:What they sayWhat you
MO St. Louis - ANTHRO - 120
DevianceActing in a way that opposes the group to which you belongDeviants were either: Innovator or criminal (depends on success)Basis of cultural change (deviant activity)Mental illness as deviance: weve moved people with mental illness from a statu
MO St. Louis - ANTHRO - 120
Industrial SocietyGender roles more fluidUS gender roles change with economySome constants in gender roles remainEmotional RolesGender ConstructionCultural construction of the bodyCultural performance of the bodyBerache (physically male, behaves l
MO St. Louis - ANTHRO - 120
RaceRace is an ideology of ranked categories dividing up humansDeveloped by western Europeans after the 1400sGlobalLinked to cultural worth, intelligence, beauty, closeness to EuropeansConcept changed as Europeans came into contact with more peopleS
MO St. Louis - ANTHRO - 120
RacismRacism as power (consider power and authority)Prejudiceattitude about another person or group, usually negativeDiscriminationpolicy (requires authority) and the ability to enact a policy in away that could harm a person or people. (Not serving p
MO St. Louis - ANTHRO - 120
Colonialism and DevelopmentEuropeanAsianMiddle EasternRomanAmericasWherever there is a state, there is colonialismEuropeans took colonialism to a next step: after exhausting their local landresources, they acquired foreign statesEuropeansStates
MO St. Louis - CSCI - 140
Chapter 5 5Computing ComponentsChapter Goals Read an ad for a computer andunderstand the jargon List the components and their functionin a von Neumann machine Describe the fetch-decode-execute cycleof the von Neumann machine Describe how computer
MO St. Louis - MATH - 135
MagnetismPermanentmagnetsEarthsmagneticfieldMagneticforceMotionofchargedparticlesinmagneticfieldsCopyrightTheMcGrawHillCompanies,Inc.Permissionrequiredforreproductionordisplay.March 5, 2012University Physics, Chapter 271Permanent Magnets Example
MO St. Louis - MATH - 135
Electric Field Magnetic Field Letsaddresstheproblemofcalculatingmagneticfieldsgeneratedbymovingcharges Wecalculatedtheelectricfieldintermsoftheelectricchargeusingtheform1 dqdE =r24 0 rwheredqisachargeelementandisaunitvectorintheradialrdirectio
MO St. Louis - MATH - 135
Induction Previouslywelearnedthatacurrentcarryingloopinamagneticfieldexperiencesatorque Ifwestartwithaloopwithnocurrentinamagneticfield,andforcethelooptorotate,wefindthatacurrentisinducedintheloop Further,ifwestartwithaloopwithnocurrentandturnonamag
GA Southern - BUSA - 3131
Exam 11. Given the following SAMPLE data calculate the indicated statistics. 10, 2, 7, 18, 9, 1, 11, 15, 15, 15 A. Mean, B. Mode, C. Median, D. StandardDeviation, E. Variance, G. Range: Use Descriptive Statistics and summary statisticsF. IQR: Use the Qua
UPenn - ESE - 605
Additional Exercises for Convex OptimizationStephen BoydLieven VandenbergheApril 22, 2010This is a collection of additional exercises, meant to supplement those found in the book ConvexOptimization, by Stephen Boyd and Lieven Vandenberghe. These exer
UPenn - MATH - 260
Math 260, Spring 2012Jerry L. KazdanLinear Maps from R2 to R3As an exercise, which I hope you will (soon) realize is entirely routine, we will show that alinear map F (X ) = Y from R2 to R3 must just be three linear high school equations intwo variab
UPenn - MATH - 260
Math 260, Spring 2012Jerry L. KazdanClass Outline: Feb. 2, 20121. More on Metrics, Norms, and Inner Products.We will continue to discuss orthogonal projections with applications to Fourier Seriesand the Method of Least Squares. For some details see:
UPenn - MATH - 260
Math 260, Spring 2012Jerry L. KazdanClass Outline: Feb. 7, 20121. In honor of the Exam on Thursday, the rst part of todays class will be a review ofthe course so far.2. More on Inner Products.We will continue to discuss orthogonal projections with a
UPenn - MATH - 260
Math 260, Spring 2012Jerry L. KazdanClass Outline: Feb. 14, 20121. In honor of the Exam last Thursday, the rst part of todays class will discuss thisexam, whose solutions are now posted athttp:/www.math.upenn.edu/%7Ekazdan/260S12/260S12Ex1s-solns.pdf
UPenn - MATH - 260
Math 260, Spring 2012Jerry L. KazdanClass Outline: Feb. 16, 20121. Curves in Space We will consider the motion of a particle in R3 , say its position isgiven by the vector function X (t).a) Concepts: The derivative, tangent vector, velocity vector, s
UPenn - MATH - 260
Math 260, Spring 2012Jerry L. KazdanClass Outline: Feb. 21, 2012Scalar Functions of Several VariablesReading: Marsden and Tromba, Vector Calculus, Chapter 2.1. Directional Derivative special case: partial derivatives.Example: Linear polynomial f (X
UPenn - MATH - 260
Math 260, Spring 2012Jerry L. KazdanClass Outline: Feb. 2, 2012Scalar Functions of Several VariablesReading: Marsden and Tromba, Vector Calculus, Chapter 2, Chapter 3.13.4 andSections 8.1-8.2 inhttp:/www.math.upenn.edu/ kazdan/260S12/notes/math21/ma
UPenn - MATH - 260
Math 260, Spring 2012Jerry L. KazdanClass Outline: Feb. 28, 2012Scalar Functions of Several VariablesReading: Marsden and Tromba, Vector Calculus, Chapter 2, Chapter 3.13.4 andSections 8.1-8.2 inhttp:/www.math.upenn.edu/ kazdan/260S12/notes/math21/m
UPenn - MATH - 260
Fourier Series An ExampleFormulas: Let f(x) be periodic with period 2 . We want to writeA0+2f (x) =(Ak cos kx + Bk sin kx) .1The Fourier coecients are given by the formulas11f (x) cos kx dxBk =f (x) sin kx dx.Ak = Moreover one has the an
UPenn - MATH - 260
Fourier Series of f (x) = xGiven a real periodic function f (x) , < x < , one can nd its Fourier series in two(equivalent) ways: using trigonometric functions:cos kxsin kxa0f (x) = + ak + bk 2 k=1or using the complex exponentialf (x) =eikxck .
UPenn - MATH - 260
Math 425, Spring 2011Jerry L. KazdanInner Product SummaryVN = span cfw_1, cos x, cos 2x, . . . , cos Nx, sin x, . . . , sin Nx.An orthonormal basis is:This is a summary of some items from class on Tues, Feb. 15, 2011.S ETTING : Linear spaces X , Y w
UPenn - MATH - 260
Math 425, Spring 2011Jerry L. KazdanInner Product SummaryThis is a summary of some items from class on Tues, Feb. 15, 2011.S ETTING : Linear spaces X , Y with inner products ,Example: X = R4 and Y = R7 .Vectors x, z X are orthogonal if x, zXXand
UPenn - MATH - 260
Math 425, Spring 2011Jerry L. KazdanInner Product SummaryThis is a summary of some items from class on Tues, Feb. 15,2011.S ETTING : Linear spaces X , Y with inner products , X and, Y.Example: X = R4 and Y = R7 .Vectors x, z X are orthogonal if x,
UPenn - MATH - 260
Math 260, Spring 2012Jerry L. KazdanClass Outline: Jan. 19, 20121. Definitions: Homogeneous equation, inhomogeneous equation.Basic Lemma: If you have n linear algebraic equations in k unknowns, and if n > k(so more equations than unknowns), then the
UPenn - MATH - 260
Math 260, Spring 2012Jerry L. KazdanClass Outline: Jan. 24, 20121. Example: quadratic polynomials p(x) with p(1) = 0.2. Polynomial Interpolation. Find a quadratic polynomial withp(1) = 1,p(2) = 1,p(4) = 3.p2 (x) = x,p3 (x) := x2 .Methods:Naive
UPenn - MATH - 260
Math 260, Spring 2012Jerry L. KazdanClass Outline: Jan. 24, 20121. Least Squares What if you have lots of data points(x1 , y1 ), (x2 , y2 ), . . . , (xk , yk )and want to nd the straight line y = a + bx that best ts the data? In this case tryinginte
UPenn - MATH - 260
Math 260, Spring 2012Jerry L. KazdanClass Outline: Jan. 31, 20121. Metrics, Norms, and Inner Products.Seehttp:/www.math.upenn.edu/kazdan/260S12/notes/math21/math21-2012-2up.pdf(Math 21 Lecture Notes , Chapter 3, p. 101)http:/www.math.upenn.edu/kazd
UPenn - MATH - 260
Many Coupled OscillatorsA V IBRATING S TRINGSay we have n particles with the same mass m equally spaced on a string havingtension . Let yk denote the vertical displacement if the k th mass. Assume the ends of thestring are xed; this is the same as hav
UPenn - MATH - 260
Math 260, Spring 2012Jerry L. KazdanClass Outline: March 1, 2012Functions of Several VariablesReading: Marsden and Tromba, Vector Calculus, Chapter 2, Chapter 3.13.4 andSections 8.1-8.2 in the noteshttp:/www.math.upenn.edu/ kazdan/260S12/notes/math2
UPenn - MATH - 260
iPrefaceIntermediate CalculusandLinear AlgebraJerry L. KazdanHarvard UniversityLecture Notes, 19641965These notes will contain most of the material covered in class, and be distributed beforeeach lecture (hopefully). Since the course is an experi
UPenn - MATH - 260
Intermediate CalculusandLinear AlgebraJerry L. KazdanHarvard UniversityLecture Notes, 19641965iPrefaceThese notes will contain most of the material covered in class, and be distributed beforeeach lecture (hopefully). Since the course is an experi
UPenn - MATH - 260
Math 260, Spring 2012Jerry L. KazdanMatrices as MapsWe now discuss viewing systems of equations as maps. Think of this an an introduction tocomputer graphics. Well use these ideas throughout Math 260.The standard technique goes back to Descartes intr
UPenn - MATH - 260
Linear ODEsSecond order linear equationsMany traditional problems involving ordinary equations arise as second order linear equationsau + bu + cu = f ,more briey as Lu = f .The problem is, given f , nd u ; often we will want to nd u that satises some
UPenn - MATH - 260
Math 425, Spring 2011Jerry L. KazdanClassical Examples of PDEsLaplace equation:32uu := 2 = 0j=1 x j(some write u = u = 2u)u = f (x)Poisson equation:Helmholtz (or eigenvalue) equation:u=tTransport equation:Heat (or diffusion) equation:Schr
UPenn - MATH - 260
Math 210Jerry L. KazdanQuadratic PolynomialsPolynomials in One Variable.After studying linear functions y = ax + b , the next step is to study quadratic polynomials, y = ax2 + bx + c , whose graphs are parabolas. Initially one studies the simplerspec
UPenn - MATH - 260
Math 260, Spring 2012Jerry L. KazdanRepresenting Symmetries by MatricesIf order to understand and work with the symmetries of an object (the symmetries of asquare is a simple example), one would like a way to compute, not just wave your hands.For an
UPenn - MATH - 260
A Tridiagonal MatrixWe investigate the simple n n real tridiagonal matrix: 0 1 0 0 . 0 0 0 0 . 0 0 1 0 1 0 . . . 0 0 0 . . . 0 0 0 1 0 1 . . . 0 0 0 . . . 0 0 . . . . = I + T , . . = I + . . . . . . . . . . M =. . . . . . . . 0 0 0 . . . 0 1 0 0 0 0 . .
UPenn - MATH - 260
Math 210Jerry L. KazdanVectors and an Application to Least SquaresThis brief review of vectors assumes you have seen the basic properties of vectorspreviously.We can write a point in Rn as X = (x1 , . . . , xn ) . This point is often called a vector.