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UCSD - SOCI - 1
Soci 1: INTRODUCT IO N TO SOCIOLOGYF ALL 2010PROFESSOR BLAIR- LOYLecture Tuesdays & Thursdays 2:00 3:20 p.m., Warren Lecture Hall (WLH) 2001Weekly Section with Teaching Assistant (TA)Prof. Blair- Loy , 858-822-2109, blair- loy@ucsd.edu ( to pass spam
UCSD - SOCI - 1
Pierre Bourdieu, Frenchsociologist & anthropologist1930-2002Weber: Life chances shaped by: Economic Class Owners of means of production More or less powerful Workers More or less skilled & rewarded Status Honor Exclusive Delimits social exchang
UCSD - SOCI - 1
Claire Kim. RacialTriangulation of AsianAmericans09/15/11Soci 1 Intro to Sociolgy Blair-LoyRace/ethnicity: Cultural and Social StructuresCultural structures:1. Illusion of race: Racial distinctions are biological,inherent, and significant for othe
UCSD - SOCI - 1
Gender: Overview &Kimmels Human Being:Anlick to edit Master subtitle style SpeciesEndangeredC9/15/11UCSD Soci1 Blair-Loy11Kimmel quotes biologist Ruth HubbardIf society put half its children intoshort skirts and warns them not tomove in ways th
UCSD - SOCI - 1
IMAGESOFMAXIMAGESOFMAXIMAGESOFMAXIMAGESOFMAXIMAGESOFMAXIMAGESOFMAXWeberandMarianne<3IMAGESOFMAXIMAGESOFMAXCredits:LorraineLeynesJessicaParkClarisseSalazarCatalinaSuarezAlishaUtter
UCSD - SOCI - 1
Annette Lareau. Unequal Childhoods:Class, Race, and Family LifeBroader social structuresIncome and wealth inequality.Richest 10% of families own 80% of all realestate (other than family homes), 90% ofstocks & bonds, 60% of money in bankaccounts.U.
UCSD - SOCI - 1
Oct. 6, 2010. NPR's Robert Siegel talks toMichael Perino, a law professor and former WallStreet litigator, about his new book, TheHellhound of Wall Street: How FerdinandPecora's Investigation of the Great CrashForever Changed American Finance.http:/
UCSD - SOCI - 1
Mexican Immigration andResponsesFederal responses: Doug Masseyarticle; Triple Border FenceMunicipal responses: Escondido, CARobert Sampson on immigrants andcrime09/15/11UCSD Blair-Loy Soci1Why dont Mexican immigrants wait their turn?How many Vis
UCSD - SOCI - 1
Race,class,andwealth:CourseSources,othersourcesC.Kim&W.Cornelius:reviewculturalstructuresFOCUSONSOCIALSTRUCTURESFilm:Race:TheColorofanIllusionJ.Kozol,StillSeparate,StillUnequal:AmericasEducationalApartheidEckholm,NYTimesarticle(socialclasssection)
UCSD - SOCI - 1
DEFINITIONSOFRACE&ETHNICITYS.Cornell&M.Hartmannbook(Chap1defns.summarizedinlecture;Chap.4incourseanthology)09/15/11Soci1BlairLoy1Cornell&Hartman,DefinitionsfromChap.1(notassigned)Race Ahumangroupdefinedbyitselforothersasdistinctbyvirtueofpercei
UCSD - SOCI - 1
SocialStructures&CulturalStructuresCreateourcollectiveandindividuallives09/15/11BlairLoyUCSDSoci1Falll_2010SummarySocialstructures(durablepatternsofrelationships,e.g.,institutionsandsocialnetworks)&Culturalstructures(patternsofbroadlyshared,take
UCSD - SOCI - 1
Emile Durkheim (1858-1917),French sociologist: socialstructures literally shape lifechances.09/15/11Blair-Loy Soci1 UCSD Durkheim Anthology, my intro on classical theorists:pp. 15-1609/15/11Blair-Loy Soci1 UCSD DurkheimDurkheims book Suicide (18
UCSD - SOCI - 1
Max Weber (1864-1920) Germansociologist.Protestant Ethic and the Spirit ofCapitalism (1905)09/15/11Blair-Loy UCSD Soci1 Wk 1 Weber ProtEthicCultural structures powerfully shape socialstructures & life chances09/15/11Blair-Loy UCSD Soci1 Wk 1 Web
UCSD - SOCI - 1
Social & Cultural structures from Karl Marx(1818-1883), German sociologist &revolutionary09/15/11Soci 1 Blair-Loy UCSDLife chances vary by economic classMarx: Owner of the means of production(Bourgeoisie) concentrates profit, wealth &power at expe
UCSD - SOCI - 1
Max Weber (1864-1920) Germansociologist. Class, Status, Partyessay in From Max Weber9/15/11Soci1 UCSD Blair-LoyMarx: Class maindeterminant of life chancesMarx: Owner of the means ofproduction (Bourgeoisie)concentrates profit, wealth & powerat ex
UCSD - SOCI - 1
Socialconstructionofrace&ethnicity09/15/11Soci1BlairLoy1MultipleaxesofinequalitySocialandculturalstructuresunequallifechancesforeagenderdependingontheirSocialclassGenderandsexualityRace,ethnicity,andimmigrationstatusSocialstructuresincludelaw&e
UCSD - LIGN - 17
Lign 17: Assignment FourProf. Andrew KehlerWinter, 2011Distributed: Wednesday, February 16, 2011Due: Friday, Februrary 25, 2011, at 11:55pm on WebCTProblem 1 (10 points) Consider the following variable-length code for the symbols athrough f.Symbol
UCSD - LIGN - 17
Error Detecting CodesLign 17, A. KehlerAs we have seen throughout the course, we use coding schemes to transmit information.But sometimes errors can occur during the transmission process, for example when we sendinformation over a telephone line (or w
UCSD - LIGN - 17
READ CAREFULLY!All LOWER-DIVISION PSYCHOLOGY COURSES require that all students* participate as subjects inpsychological research. The minimum requirement is 3 hours. Some instructors may require additionalhours or count additional hours as extra credit
UCSD - LIGN - 17
Lign 17, Winter 2011: Topics Covered What is Steganography/Cryptography? Transposition Ciphers Example: Rail Fence Ciphers Substitution Ciphers: Making and Breaking Them Monoalphabetic Caesar Shift Codes, Nomenclators Monoalphabetic with Keyphrase
UCSD - LIGN - 17
Human CodingLign 17, A. KehlerThis handout provides another example of how the Human Coding algorithm works.It also describes certain rules that, while arbitrary, are necessary for you to follow whenpreparing Assignment 4.The central idea behind the
UCSD - LIGN - 17
LIGN 17 Final Review SheetMarch 11, 2011Error Detecting Codes:For each of the systems weve discussed in class, you should be able to describe andimplement the algorithm it uses; you should also be able to describe what kinds of errorsit can catch/cor
UCSD - LIGN - 17
Section 5: Midterm Review:1: What is the creature pictured below?2. Encode the message from the picture above using a rail-fence cipher.3. What is the difference between a Caesar Shift Cipher and a Monoalphabetic SubstitutionCipher with a Keyword?4.
UCSD - LIGN - 17
Lign 17, Winter 2011Topics Covered For Midterm What is Steganography? What is Cryptography? Transposition Ciphers Example: Rail Fence Ciphers Substitution Ciphers: How to Make Themand How to Break Them Kerckhos principle Monoalphabetic SCs Caesa
UCSD - LIGN - 17
Encoding and Decoding Rail Fence CiphersLign 17, A. KehlerEncryptionEncrypting a message with a rail fence cipher is straightforward. Say the message you wantto encrypt is:This is a secret message, right?We immediately remove the spaces and punctuat
UCSD - LIGN - 17
Lign 17 Section worksheets Friday, January 14th and Tuesday, January 18th, 2011 Problem Naught: A Railfence Warmup A Confession: My favorite video game is embarrassingly old. Im trying to cover it up using a railfe
UCSD - LIGN - 17
Lign 17 Section 2 Friday, January 21 and Tuesday, January 25 00: A recap Whats wrong with Monoalphabetic Substitution Ciphers? What kind of mapping does a monoalphabetic substitution cipher give you? Draw an exa
UCSD - LIGN - 17
LIGN 17 Section 3 Friday, Jan 28th and Tuesday, Feb 1, 2011 1 OneTime Pad Cipher What is the following message? I have enciphered it using a onetimepad. N M Z Q R S 2 TwoTime Pad Cip
UCSD - LIGN - 17
The Spectral Test for Randomness LIGN 17 Feb 25, 2011 Recall Lossless vs. Lossy Compression Lossless we can recover all of the data in the original message, even though we made it smaller Eg. Human Coding
UCSD - LIGN - 17
The Spectral Test for RandomnessLign 17, A. KehlerRandom values are the result of an arbitrary selection from among a set of alternatives.For our purposes, well assume that the alternatives are the values 0 and 1, i.e., bits. Arandom sequence is simpl
UCSD - LIGN - 17
Lign 17: Making and Breaking CodesProf. Andrew KehlerUCSD Department of Linguisticskehler@ling.ucsd.edu(858) 534-1159Winter, 2011MWF 11:00-11:50, WLH 2005Oce Hours: Wednesdays 1-2, Fridays 2-3:30, or by appt. (AP&M 4260)TAs: Gwen Gillingham (ggill
UCSD - COGS - 1
!"#$%&'$()*'"$+,-.$!/$0!%$,1$234'".,)34#$01"$5'$657'$,1$8')779$%)7:$,1$;)<&$!,&'"$651=,>'3$?@*177@3@?!AB$CDC6*"@7$E#$CFEF!!!=,7@3'!!I),)!J14'7$*'"K1"G)3<'!J14'7$)3)79.@.!L8'MH@.@,@3N$,&'$5@171N9!!()*'"$G1,@H),@13.O='.,@13.!J1,@H),@1
UCSD - COGS - 1
Binocular RivalryCOG160/272, Spring 20101What is Binocular Rivalry?shown a different When each eye is between them image,percept oscillatestypically after lengthy exposure to xed stimulitimescale and spatial extent of rivalry depend onstimulus ch
UCSD - COGS - 1
Population coding in somatosensorycortexRasmus S Petersen*, Stefano Panzeri and Mathew E Diamond*Presenter: Crane Huang05/20/2010IntroductionA fundamental challenge in neurobiology is todiscover the essential differences in the neuralrepresentatio
UCSD - COGS - 1
Choosing the Greater of Two Goods:Neural Currencies for Valuation and Decision MakingLeo P. Surgre, Gres S. Corrado and William T. NewsomePresenter: He Crane Huang04/20/2010Outline Studies on neural correlates of simple perceptualdecisions Interac
UCSD - COGS - 1
Banburismus and the Brain: DecodingReview the Relationship between SensoryStimuli, Decisions, and RewardJoshua I. Gold and Michael N. ShadlenPresenter: He Huang04/22/2010OutlineTurings theoretical framework and BanburismusApplication to 2AFC decis
UCSD - COGS - 1
!"#$%&'()*+&,-&.&/+0+"*"+12"3"""4"45"+"* +""""6+"4" ""77""" 8"8""9:;"&;".;"2 *"66"+""+"
UCSD - COGS - 1
!"#$%&'()*+,-'+,'./0#%&*'),'12%3#4%&,'5'6+&2*'7899:;<$&%&,=&*'>?'@)4-'A)B#,)B+(3C1D!'8E8F"$+2'/:'89/9!!./'%+G"2&'(&22%!H&(&"=+B&'I+&2*%'#$&J"!"#=+#22?'2)(#2+K&*"!&2&(=+B&'>?')$+&,=#=+),"!&2&(=+B&'>?'%"#=+#2'I$&L4&,(?MJM'=3&?'#$&'&L4+B#2&,
UCSD - COGS - 1
Attention improves performance primarily by reducinginterneuronal correlationsMarlene R Cohen & John H R MaunsellVisual attention can improve behavioral performance by allowing observers to focus on the important information in a complexscene. Attenti
UCSD - COGS - 1
Does the brain compute confidence estimates about decisions?EXPERIMENT SETTING AND BEHAVIORAL DATA-Two choice odor mixturecategorization- Randomized delays:between entering the odorport and odor delivery;and between entering thechoice port and rew
UCSD - COGS - 1
Cogs 160: Neural Coding in Sensory SystemsCogs 272: Computational Models of Sensory CodingProf. Angela YuDepartment of Cognitive ScienceSpring, 2010http: www.cogsci.ucsd.edu/~ajyu/Teaching/Cogs160_sp10/cogs160_272.htmlTodayGrading (Cogs 160)Academ
UCSD - COGS - 1
Cogs 160: Neural Coding in Sensory SystemsCogs 272: Computational Models of Sensory CodingProf. Angela YuDepartment of Cognitive ScienceApril 1, 2010http: www.cogsci.ucsd.edu/~ajyu/Teaching/Cogs160_sp10/cogs160_272.htmlGradingParticipation (reading
UCSD - COGS - 1
Cogs 160: Neural Coding in Sensory SystemsCogs 272: Computational Models of Sensory CodingProf. Angela YuDepartment of Cognitive ScienceApril 6, 2010Week 1: Writing Assignment4/6/10 2:46 PMWeek 1: Writing AssignmentAnswer one of the following ques
UCSD - COGS - 1
Cogs 160: Neural Coding in Sensory SystemsCogs 272: Computational Models of Sensory CodingProf. Angela YuDepartment of Cognitive ScienceApril 13, 2010Cogs 160/2724/13/10 1:25 PMWeek 2: Writing AssignmentAnswer one of the following questions based
UCSD - COGS - 1
Cogs 160: Neural Coding in Sensory SystemsCogs 272: Computational Models of Sensory CodingProf. Angela YuDepartment of Cognitive ScienceApril 20, 2010Week 3: Writing Assignment4/20/10 2:42 PMWeek 3: Writing AssignmentAnswer one of the following qu
UCSD - COGS - 1
Cogs 160: Neural Coding in Sensory SystemsCogs 272: Computational Models of Sensory CodingProf. Angela YuDepartment of Cognitive ScienceApril 27, 2010Sound Transduction in the EarDemoTonotopic Mapping in the Cochlea
UCSD - COGS - 1
Embodiment illusions viamultisensory integrationCOGS160: sensory systems and neural codingpresenter: Pradeep Shenoy1The illusory handBotvinnik, Science 200422This hand is my handi An illusion of ownershiptonduced by handsynchronous touches vis
UCSD - COGS - 1
Reliability and Representational Bandwidthin the Auditory CortexM. DeWeese, T. Hromadka, A. Zadorpresenter: Pradeep ShenoyOverview Cortex has far more neurons than sensoryorgans16k hair cells vs 160M neurons in A1cortical neurons are noisyperform
UCSD - COGS - 1
HOW LINEAR ARE AUDITORYCORTICAL RESPONSES?M. Sahani & J. F. LindenPresented by Tomoki TsuchidaCOGS 272April 29, 2010AGENDABackgroundSpectrotemporal Receptive Field (STRF)Problems with coefficient of determinationSignal Power AnalysisEvaluating
UCSD - COGS - 1
For instance, on the planet Earth, man hadalways assumed that he was moreintelligent than dolphins because he hadachieved so much - the wheel, New York,wars and so on - whilst all the dolphins hadever done was muck about in the waterhaving a good ti