Digital Labour and the Use Value of Human Work

Size: px
Start display at page:

Download "Digital Labour and the Use Value of Human Work"

Transcription

1 Big picture vs. details Digital Labur ad the Use Value f Huma Wrk Tw questis 1. Value creati i the Web emy: Where des it happe? Pfeiffer, Sabie (2013): Web, Value ad Labur. I: Wrk Orgaisati, Labur ad Glbalisati, 7 (1), Prf. Dr. habil. Sabie Pfeiffer COST-Acti Dyamics f Virtual Wrk Pleary Sessi WG3 Athes, 8th Octber Value creati i the Web emy: Wh/what makes it happe? Pfeiffer, Sabie (2014): Digital Labur ad the Use Value f Huma Wrk. t be published i: triplec: Cuicati, Capitalism & Critique. Special Issue: Philsphers f the Wrld Uite! Therizig Digital Labur ad Virtual Wrk: Defiitis, Frms ad Trasfrmatis, Suer Estimated grwth f lie puchasig. Amazig grwth rates, still t t impessig share f GDP ad: partly based weird assumptis (BCG 2012) Mst claim the Web itrduces a ew era f emy. Sme celebrate fit grwth ad ew busiess mdels, thers criticize ehaced explitati. Bth see ew frms f glbal value chais. Cmputerizati resultig i declie f s share f GDP (frm the 70s t 2008: 6% dw) (Kristal 2013). 3

2 substatial chages f wrk alg the value chai aye i the chai wh duces ad distributes kwledge ducts ad i betwee is fud a steadily grwig army f emplyees wh hadle, distribute ad vey ifrmati ad kwledge (McKercher & Ms, 2010). All thse tasks are icreasigly iterected alg the glbal value chai, ad mdularizati ad stadardizati are applied gressively s that these ectis ca be maaged as seamlessly as pssible (Huws, 2012:2). This srt f stadardizati lger just reaches it the ducti area, but meawhile als impiges the creative cesses f ivati wrk (Pfeiffer, Sauer & Wühr, 2012; Pfeiffer, Schütt & Wühr, 2010). 5 Prf. Styled Dr. habil. 6th Sabie Oct Pfeiffer Muich 6 2 factries 77 wrkers Berli Brkly There is mre gig betwee Bejig Bagalre 0,088% f 10 utries 62 factries wrkers Prf. Ifrmati Dr. habil. ad Sabie graphic Pfeiffer by Muich retrieved 6th Oct. 2013

3 Hw may kwledge wrker are ivlved? Why is the yug marketig traiee wrkig ft thig i that hip web agecy? Wh develps the marketig strategies? What is the value f all Ope Surce webbased services used? Why d custmers accept 25% higher prices fr custmized gds? Wh stitches ad sews? Uder what ditis? Where ad hw des value happe? Hw may spet hw much vlutary time truble shtig the pe surce E-Cerceplatfrm? What makes shippig s lw-stly? Which highly qualified peple gram all the Big Data ad sumer-trackig algrithm? Hw may micr wrkers feed Scial Netwrks fr SEO purpses? Wh are the well paid web desiger? Wh really pays fr the deep sea cable ad satellite ifrastructure? Where des the rubber me frm? Wh frms it it sles? We will ever be able t aalyze all these phemes alg virtual value chais. But we ca try t develp a aalytical uderstadig f relevat dimesis. Let me itrduce yu t e pssible aalytical framewrk. Oe geeral priciple hereby is: where des value me it the picture? Wh grams the iterface betwee Web ad ERP? lie Geeral disticti the actual cess f ducig ew values; values that d t exist prir t their ducti cess, befre the applicati f. The lcale ca split apart fr the value geerati ad realisati cesses (i real emy as well). Differet digital lcales ca be relevat fr every step i the ad cesses. cess by which the duct that rigiated as part f is valrized ad successfully exchaged i the market fr mey r ther values. 1st disticti: digital lcale fflie fflie lie

4 m utilizes utilizes s, s, ditized as s.. Which, the ther had, bemes a bject f emic explitati. as dity ducti, value realisati as s. d s d it y s lu lie. e fflie va fflie, li fflie ty di m c m dit y fflie fflie. ti a l is ea er lie. realisati. Marxists as well as traditial emists see wrk as crucial. S, ews here. Ad alg the value chai we see mre ad mre plai ld explitati: extractig as much as surplus value as pssible, miimizig the sts f livig. Ad we see ew frms f explitati usig mre ad mre s. lie, I the web emy, value chais are chagig dramatically, but it seems t be still wrk which des the trick. s lie, fflie. e m i e f li 2d disticti: value frm lie c m ditized value l f s dity as dity ducti, it y Cs beme detachable frm their previusly mstly lcally bud text, lettig far mre peple reder vlutary. s c m s But what exactly makes wrk the gig surce f value creati ad? It easy t aswer frm a basal emic perspective. If still is the key, thery has t aswer als questis like: What brigs the Ope Surce develpper t tribute vlutarily i her freetime? Why is the web marketig assistat wrkig ethusiastically util his burut? lie

5 Quatitative Exchage value f Cdity Oe f may itellectual tls Marx' thery vided us with is: pwer critique f dity fetishism (McChesey (2007: 53; see Fuchs/Dyer-Withefrd 2013: 792). du cti Capitalism difies wrk. Therefre a critical perspective has t start with: Ackwledgig the quality side f dialectical Its tgeitical re is t difiable (but ever mre essetial i glbalized, flexiblized ad thus a everyday level impderable wrk situatis). Huma t ly duces use value is has/tais it. wrk capacity Qualitative Use value f N dity 17 =Arbeitsverm öge (Pfeiffer 2004 ) 18 Prf. Dr. Sabie Pfeiffer Müche rk meas f w pwer du cti pwer ap pr ( A pria e ig ti u g) bjects f wrk ap pri ati du cti subjectifyig wrk acti wrk a rg isati wrk capacity Prf. Dr. Sabie Pfeiffer Müche 19 Prf. Dr. Sabie Pfeiffer Müche wrk capacity 20

6 bjectifyig subjectifyig well-plaed ad methdical acti explrative ad dialgical aalytical, ratial, lgical thikig assciative ad ituitive exact by sesric chaels percepti fuzzily ad hlistic bjective ad eutral relati meas ad rk bjects f w app rp r iati empathetic ad emtial wrk capacity rk variety f w s i rgaisat Böhle u.a Prf. Dr. Sabie Pfeiffer Müche The imprtace f as ducer f surplus is maily f quatitative character. Thak yu The imprtace f eablig the appriati (Aeigug) f highly develpped ductive frces is f qualitative ature. Althugh (ad because f) deeply tradictial, the letter wrk capacity/ Arbeitsvermöge is the prediti f the first pwer. Uderstadig as surce f value creati i ur ever chagig, mplex, glbalized wrld ad alg its virtualized value chais eeds a dialectical fcus wrk ad its qualitative subjectifyig capacity. visit me pfeiffer.de Prf. Dr. Prf. Dr. habil. habil.sabie SabiePfeiffer Pfeiffer Muich Muich 24

Grade 3 Mathematics Course Syllabus Prince George s County Public Schools

Grade 3 Mathematics Course Syllabus Prince George s County Public Schools Ctet Grade 3 Mathematics Curse Syllabus Price Gerge s Cuty Public Schls Prerequisites: Ne Curse Descripti: I Grade 3, istructial time shuld fcus fur critical areas: (1) develpig uderstadig f multiplicati

More information

Chapter 3.1: Polynomial Functions

Chapter 3.1: Polynomial Functions Ntes 3.1: Ply Fucs Chapter 3.1: Plymial Fuctis I Algebra I ad Algebra II, yu ecutered sme very famus plymial fuctis. I this secti, yu will meet may ther members f the plymial family, what sets them apart

More information

Five Whys How To Do It Better

Five Whys How To Do It Better Five Whys Definitin. As explained in the previus article, we define rt cause as simply the uncvering f hw the current prblem came int being. Fr a simple causal chain, it is the entire chain. Fr a cmplex

More information

Study of Energy Eigenvalues of Three Dimensional. Quantum Wires with Variable Cross Section

Study of Energy Eigenvalues of Three Dimensional. Quantum Wires with Variable Cross Section Adv. Studies Ther. Phys. Vl. 3 009. 5 3-0 Study f Eergy Eigevalues f Three Dimesial Quatum Wires with Variale Crss Secti M.. Sltai Erde Msa Departmet f physics Islamic Aad Uiversity Share-ey rach Ira alrevahidi@yah.cm

More information

Intermediate Division Solutions

Intermediate Division Solutions Itermediate Divisi Slutis 1. Cmpute the largest 4-digit umber f the frm ABBA which is exactly divisible by 7. Sluti ABBA 1000A + 100B +10B+A 1001A + 110B 1001 is divisible by 7 (1001 7 143), s 1001A is

More information

Control Systems. Controllability and Observability (Chapter 6)

Control Systems. Controllability and Observability (Chapter 6) 6.53 trl Systems trllaility ad Oservaility (hapter 6) Geeral Framewrk i State-Spae pprah Give a LTI system: x x u; y x (*) The system might e ustale r des t meet the required perfrmae spe. Hw a we imprve

More information

D.S.G. POLLOCK: TOPICS IN TIME-SERIES ANALYSIS STATISTICAL FOURIER ANALYSIS

D.S.G. POLLOCK: TOPICS IN TIME-SERIES ANALYSIS STATISTICAL FOURIER ANALYSIS STATISTICAL FOURIER ANALYSIS The Furier Represetati f a Sequece Accrdig t the basic result f Furier aalysis, it is always pssible t apprximate a arbitrary aalytic fucti defied ver a fiite iterval f the

More information

BIO752: Advanced Methods in Biostatistics, II TERM 2, 2010 T. A. Louis. BIO 752: MIDTERM EXAMINATION: ANSWERS 30 November 2010

BIO752: Advanced Methods in Biostatistics, II TERM 2, 2010 T. A. Louis. BIO 752: MIDTERM EXAMINATION: ANSWERS 30 November 2010 BIO752: Advaced Methds i Bistatistics, II TERM 2, 2010 T. A. Luis BIO 752: MIDTERM EXAMINATION: ANSWERS 30 Nvember 2010 Questi #1 (15 pits): Let X ad Y be radm variables with a jit distributi ad assume

More information

ALE 26. Equilibria for Cell Reactions. What happens to the cell potential as the reaction proceeds over time?

ALE 26. Equilibria for Cell Reactions. What happens to the cell potential as the reaction proceeds over time? Name Chem 163 Secti: Team Number: AL 26. quilibria fr Cell Reactis (Referece: 21.4 Silberberg 5 th editi) What happes t the ptetial as the reacti prceeds ver time? The Mdel: Basis fr the Nerst quati Previusly,

More information

Multi-objective Programming Approach for. Fuzzy Linear Programming Problems

Multi-objective Programming Approach for. Fuzzy Linear Programming Problems Applied Mathematical Scieces Vl. 7 03. 37 8-87 HIKARI Ltd www.m-hikari.cm Multi-bective Prgrammig Apprach fr Fuzzy Liear Prgrammig Prblems P. Padia Departmet f Mathematics Schl f Advaced Scieces VIT Uiversity

More information

Ch. 1 Introduction to Estimation 1/15

Ch. 1 Introduction to Estimation 1/15 Ch. Itrducti t stimati /5 ample stimati Prblem: DSB R S f M f s f f f ; f, φ m tcsπf t + φ t f lectrics dds ise wt usually white BPF & mp t s t + w t st. lg. f & φ X udi mp cs π f + φ t Oscillatr w/ f

More information

LUKE 2 The Christmas Story in Song

LUKE 2 The Christmas Story in Song LUKE 2 The Christmas Stry i Sg Usig the text f the Evagelical Heritage Versi (EHV) Aar Michael Jese The purpse f this musical arragemet f Lue 2 (EHV) is t assist childre i the trasiti frm ather traslati

More information

MATHEMATICS 9740/01 Paper 1 14 Sep hours

MATHEMATICS 9740/01 Paper 1 14 Sep hours Cadidate Name: Class: JC PRELIMINARY EXAM Higher MATHEMATICS 9740/0 Paper 4 Sep 06 3 hurs Additial Materials: Cver page Aswer papers List f Frmulae (MF5) READ THESE INSTRUCTIONS FIRST Write yur full ame

More information

Flipping Physics Lecture Notes: Simple Harmonic Motion Introduction via a Horizontal Mass-Spring System

Flipping Physics Lecture Notes: Simple Harmonic Motion Introduction via a Horizontal Mass-Spring System Flipping Physics Lecture Ntes: Simple Harmnic Mtin Intrductin via a Hrizntal Mass-Spring System A Hrizntal Mass-Spring System is where a mass is attached t a spring, riented hrizntally, and then placed

More information

THE LIFE OF AN OBJECT IT SYSTEMS

THE LIFE OF AN OBJECT IT SYSTEMS THE LIFE OF AN OBJECT IT SYSTEMS Persns, bjects, r cncepts frm the real wrld, which we mdel as bjects in the IT system, have "lives". Actually, they have tw lives; the riginal in the real wrld has a life,

More information

Professional Development. Implementing the NGSS: High School Physics

Professional Development. Implementing the NGSS: High School Physics Prfessinal Develpment Implementing the NGSS: High Schl Physics This is a dem. The 30-min vide webinar is available in the full PD. Get it here. Tday s Learning Objectives NGSS key cncepts why this is different

More information

Every gas consists of a large number of small particles called molecules moving with very high velocities in all possible directions.

Every gas consists of a large number of small particles called molecules moving with very high velocities in all possible directions. Kietic thery f gases ( Kietic thery was develped by Berlli, Jle, Clasis, axwell ad Bltzma etc. ad represets dyamic particle r micrscpic mdel fr differet gases sice it thrws light the behir f the particles

More information

CAUSAL INFERENCE. Technical Track Session I. Phillippe Leite. The World Bank

CAUSAL INFERENCE. Technical Track Session I. Phillippe Leite. The World Bank CAUSAL INFERENCE Technical Track Sessin I Phillippe Leite The Wrld Bank These slides were develped by Christel Vermeersch and mdified by Phillippe Leite fr the purpse f this wrkshp Plicy questins are causal

More information

MODULE ONE. This module addresses the foundational concepts and skills that support all of the Elementary Algebra academic standards.

MODULE ONE. This module addresses the foundational concepts and skills that support all of the Elementary Algebra academic standards. Mdule Fundatinal Tpics MODULE ONE This mdule addresses the fundatinal cncepts and skills that supprt all f the Elementary Algebra academic standards. SC Academic Elementary Algebra Indicatrs included in

More information

Hiding in plain sight

Hiding in plain sight Hiding in plain sight Principles f stegangraphy CS349 Cryptgraphy Department f Cmputer Science Wellesley Cllege The prisners prblem Stegangraphy 1-2 1 Secret writing Lemn juice is very nearly clear s it

More information

Solutions. Definitions pertaining to solutions

Solutions. Definitions pertaining to solutions Slutis Defiitis pertaiig t slutis Slute is the substace that is disslved. It is usually preset i the smaller amut. Slvet is the substace that des the disslvig. It is usually preset i the larger amut. Slubility

More information

In the OLG model, agents live for two periods. they work and divide their labour income between consumption and

In the OLG model, agents live for two periods. they work and divide their labour income between consumption and 1 The Overlapping Generatins Mdel (OLG) In the OLG mdel, agents live fr tw perids. When ung the wrk and divide their labur incme between cnsumptin and savings. When ld the cnsume their savings. As the

More information

I.S. 239 Mark Twain. Grade 7 Mathematics Spring Performance Task: Proportional Relationships

I.S. 239 Mark Twain. Grade 7 Mathematics Spring Performance Task: Proportional Relationships I.S. 239 Mark Twain 7 ID Name: Date: Grade 7 Mathematics Spring Perfrmance Task: Prprtinal Relatinships Directins: Cmplete all parts f each sheet fr each given task. Be sure t read thrugh the rubrics s

More information

MATH Midterm Examination Victor Matveev October 26, 2016

MATH Midterm Examination Victor Matveev October 26, 2016 MATH 33- Midterm Examiati Victr Matveev Octber 6, 6. (5pts, mi) Suppse f(x) equals si x the iterval < x < (=), ad is a eve peridic extesi f this fucti t the rest f the real lie. Fid the csie series fr

More information

Flipping Physics Lecture Notes: Simple Harmonic Motion Introduction via a Horizontal Mass-Spring System

Flipping Physics Lecture Notes: Simple Harmonic Motion Introduction via a Horizontal Mass-Spring System Flipping Physics Lecture Ntes: Simple Harmnic Mtin Intrductin via a Hrizntal Mass-Spring System A Hrizntal Mass-Spring System is where a mass is attached t a spring, riented hrizntally, and then placed

More information

Work, Energy, and Power

Work, Energy, and Power rk, Energy, and Pwer Physics 1 There are many different TYPES f Energy. Energy is expressed in JOULES (J 419J 4.19 1 calrie Energy can be expressed mre specifically by using the term ORK( rk The Scalar

More information

Purpose: Use this reference guide to effectively communicate the new process customers will use for creating a TWC ID. Mobile Manager Call History

Purpose: Use this reference guide to effectively communicate the new process customers will use for creating a TWC ID. Mobile Manager Call History Purpse: Use this reference guide t effectively cmmunicate the new prcess custmers will use fr creating a TWC ID. Overview Beginning n January 28, 2014 (Refer t yur Knwledge Management System fr specific

More information

Modern Physics. Unit 15: Nuclear Structure and Decay Lecture 15.2: The Strong Force. Ron Reifenberger Professor of Physics Purdue University

Modern Physics. Unit 15: Nuclear Structure and Decay Lecture 15.2: The Strong Force. Ron Reifenberger Professor of Physics Purdue University Mder Physics Uit 15: Nuclear Structure ad Decay Lecture 15.: The Strg Frce R Reifeberger Prfessr f Physics Purdue Uiversity 1 Bidig eergy er ucle - the deuter Eergy (MeV) ~0.4fm B.E. A =.MeV/ = 1.1 MeV/ucle.

More information

Mission Action Planning in the diocese of St Albans

Mission Action Planning in the diocese of St Albans The Dicese f St Albans Missin Actin ning in the dicese f St Albans Intrductin Missin Actin ning is a central element in the new dicesan initiative. This initiative is an invitatin t the peple, parishes

More information

Unit 1: Introduction to Biology

Unit 1: Introduction to Biology Name: Unit 1: Intrductin t Bilgy Theme: Frm mlecules t rganisms Students will be able t: 1.1 Plan and cnduct an investigatin: Define the questin, develp a hypthesis, design an experiment and cllect infrmatin,

More information

EEO 401 Digital Signal Processing Prof. Mark Fowler

EEO 401 Digital Signal Processing Prof. Mark Fowler EEO 401 Digital Signal Prcessing Prf. Mark Fwler Intrductin Nte Set #1 ading Assignment: Ch. 1 f Prakis & Manlakis 1/13 Mdern systems generally DSP Scenari get a cntinuus-time signal frm a sensr a cnt.-time

More information

7.1 Finding Rational Solutions of Polynomial Equations

7.1 Finding Rational Solutions of Polynomial Equations Name Class Date 7.1 Fidig Ratioal Solutios of Polyomial Equatios Essetial Questio: How do you fid the ratioal roots of a polyomial equatio? Resource Locker Explore Relatig Zeros ad Coefficiets of Polyomial

More information

Writing Guidelines. (Updated: November 25, 2009) Forwards

Writing Guidelines. (Updated: November 25, 2009) Forwards Writing Guidelines (Updated: Nvember 25, 2009) Frwards I have fund in my review f the manuscripts frm ur students and research assciates, as well as thse submitted t varius jurnals by thers that the majr

More information

A New Method for Finding an Optimal Solution. of Fully Interval Integer Transportation Problems

A New Method for Finding an Optimal Solution. of Fully Interval Integer Transportation Problems Applied Matheatical Scieces, Vl. 4, 200,. 37, 89-830 A New Methd fr Fidig a Optial Sluti f Fully Iterval Iteger Trasprtati Prbles P. Padia ad G. Nataraja Departet f Matheatics, Schl f Advaced Scieces,

More information

MODULE FOUR. This module addresses functions. SC Academic Elementary Algebra Standards:

MODULE FOUR. This module addresses functions. SC Academic Elementary Algebra Standards: MODULE FOUR This mdule addresses functins SC Academic Standards: EA-3.1 Classify a relatinship as being either a functin r nt a functin when given data as a table, set f rdered pairs, r graph. EA-3.2 Use

More information

Land Information New Zealand Topographic Strategy DRAFT (for discussion)

Land Information New Zealand Topographic Strategy DRAFT (for discussion) Land Infrmatin New Zealand Tpgraphic Strategy DRAFT (fr discussin) Natinal Tpgraphic Office Intrductin The Land Infrmatin New Zealand Tpgraphic Strategy will prvide directin fr the cllectin and maintenance

More information

Tennessee Department of Education

Tennessee Department of Education Teessee Departmet of Educatio Task: Comparig Shapes Geometry O a piece of graph paper with a coordiate plae, draw three o-colliear poits ad label them A, B, C. (Do ot use the origi as oe of your poits.)

More information

Sound Absorption Characteristics of Membrane- Based Sound Absorbers

Sound Absorption Characteristics of Membrane- Based Sound Absorbers Purdue e-pubs Publicatis f the Ray W. Schl f Mechaical Egieerig 8-28-2003 Sud Absrpti Characteristics f Membrae- Based Sud Absrbers J Stuart Blt, blt@purdue.edu Jih Sg Fllw this ad additial wrks at: http://dcs.lib.purdue.edu/herrick

More information

AP Literature and Composition. Summer Reading Packet. Instructions and Guidelines

AP Literature and Composition. Summer Reading Packet. Instructions and Guidelines AP Literature and Cmpsitin Summer Reading Packet Instructins and Guidelines Accrding t the Cllege Bard Advanced Placement prgram: "The AP English curse in Literature and Cmpsitin shuld engage students

More information

Beam Expander Basics: Not All Spots Are Created Equal

Beam Expander Basics: Not All Spots Are Created Equal EARNING UNERSTANING INTROUCING APPYING Beam Expander Basics: Nt All Spts Are Created Equal A P P I C A T I O N N O T E S BEAM EXPANERS A laser beam expander is designed t increase the diameter f a cllimated

More information

CMU Noncooperative games 3: Price of anarchy. Teacher: Ariel Procaccia

CMU Noncooperative games 3: Price of anarchy. Teacher: Ariel Procaccia CMU 15-896 Nncperative games 3: Price f anarchy Teacher: Ariel Prcaccia Back t prisn The nly Nash equilibrium in Prisner s dilemma is bad; but hw bad is it? Objective functin: scial cst = sum f csts NE

More information

Chapter 18 Summary Sampling Distribution Models

Chapter 18 Summary Sampling Distribution Models Uit 5 Itroductio to Iferece Chapter 18 Summary Samplig Distributio Models What have we leared? Sample proportios ad meas will vary from sample to sample that s samplig error (samplig variability). Samplig

More information

READING STATECHART DIAGRAMS

READING STATECHART DIAGRAMS READING STATECHART DIAGRAMS Figure 4.48 A Statechart diagram with events The diagram in Figure 4.48 shws all states that the bject plane can be in during the curse f its life. Furthermre, it shws the pssible

More information

This project has received funding from the European Union s Horizon 2020 research and innovation programme under grant agreement number

This project has received funding from the European Union s Horizon 2020 research and innovation programme under grant agreement number This prject has received funding frm the Eurpean Unin s Hrizn 2020 research and innvatin prgramme under grant agreement number 727524. Credit t & http://www.h3uni.rg/ https://ec.eurpa.eu/jrc/en/publicatin/eur-scientific-andtechnical-research-reprts/behaviural-insights-appliedplicy-eurpean-reprt-2016

More information

Physics 2B Chapter 23 Notes - Faraday s Law & Inductors Spring 2018

Physics 2B Chapter 23 Notes - Faraday s Law & Inductors Spring 2018 Michael Faraday lived in the Lndn area frm 1791 t 1867. He was 29 years ld when Hand Oersted, in 1820, accidentally discvered that electric current creates magnetic field. Thrugh empirical bservatin and

More information

Problems from 9th edition of Probability and Statistical Inference by Hogg, Tanis and Zimmerman:

Problems from 9th edition of Probability and Statistical Inference by Hogg, Tanis and Zimmerman: Math 224 Fall 2017 Homework 4 Drew Armstrog Problems from 9th editio of Probability ad Statistical Iferece by Hogg, Tais ad Zimmerma: Sectio 2.3, Exercises 16(a,d),18. Sectio 2.4, Exercises 13, 14. Sectio

More information

Activity Guide Loops and Random Numbers

Activity Guide Loops and Random Numbers Unit 3 Lessn 7 Name(s) Perid Date Activity Guide Lps and Randm Numbers CS Cntent Lps are a relatively straightfrward idea in prgramming - yu want a certain chunk f cde t run repeatedly - but it takes a

More information

The standards are taught in the following sequence.

The standards are taught in the following sequence. B L U E V A L L E Y D I S T R I C T C U R R I C U L U M MATHEMATICS Third Grade In grade 3, instructinal time shuld fcus n fur critical areas: (1) develping understanding f multiplicatin and divisin and

More information

Modelling of Clock Behaviour. Don Percival. Applied Physics Laboratory University of Washington Seattle, Washington, USA

Modelling of Clock Behaviour. Don Percival. Applied Physics Laboratory University of Washington Seattle, Washington, USA Mdelling f Clck Behaviur Dn Percival Applied Physics Labratry University f Washingtn Seattle, Washingtn, USA verheads and paper fr talk available at http://faculty.washingtn.edu/dbp/talks.html 1 Overview

More information

Subject description processes

Subject description processes Subject representatin 6.1.2. Subject descriptin prcesses Overview Fur majr prcesses r areas f practice fr representing subjects are classificatin, subject catalging, indexing, and abstracting. The prcesses

More information

ANALOGY ESSAY PRE-WRITING

ANALOGY ESSAY PRE-WRITING ANALOGY ESSAY PRE-WRITING THE PROCESS PROCESS: 1. First, chse a subject that cncerns yu: Sme issue in yur career field, frm persnal experience, r f natinal cncern plitics, war, ecnmy, histry, educatin

More information

On the affine nonlinearity in circuit theory

On the affine nonlinearity in circuit theory O the affie liearity i circuit thery Emauel Gluski The Kieret Cllege the Sea f Galilee; ad Ort Braude Cllege (Carmiel), Israel. gluski@ee.bgu.ac.il; http://www.ee.bgu.ac.il/~gluski/ E. Gluski, O the affie

More information

EEO 401 Digital Signal Processing Prof. Mark Fowler

EEO 401 Digital Signal Processing Prof. Mark Fowler EEO 40 Digital Sigal Processig Prof. Mark Fowler Note Set #3 Covolutio & Impulse Respose Review Readig Assigmet: Sect. 2.3 of Proakis & Maolakis / Covolutio for LTI D-T systems We are tryig to fid y(t)

More information

How do scientists measure trees? What is DBH?

How do scientists measure trees? What is DBH? Hw d scientists measure trees? What is DBH? Purpse Students develp an understanding f tree size and hw scientists measure trees. Students bserve and measure tree ckies and explre the relatinship between

More information

Outline Map Activity. Regional Atlas Activity A. Name Date Class

Outline Map Activity. Regional Atlas Activity A. Name Date Class Name Date Class Outlie Map Activity Regial Atlas Activity A Directis: O the map belw, draw the crrect brders f Russia. Label Russia ad the ctiets that are shw. The clr Russia red, the water blue, ad the

More information

Excessive Social Imbalances and the Performance of Welfare States in the EU. Frank Vandenbroucke, Ron Diris and Gerlinde Verbist

Excessive Social Imbalances and the Performance of Welfare States in the EU. Frank Vandenbroucke, Ron Diris and Gerlinde Verbist Excessive Scial Imbalances and the Perfrmance f Welfare States in the EU Frank Vandenbrucke, Rn Diris and Gerlinde Verbist Child pverty in the Eurzne, SILC 2008 35.00 30.00 25.00 20.00 15.00 10.00 5.00.00

More information

Super-efficiency Models, Part II

Super-efficiency Models, Part II Super-efficiec Mdels, Part II Emilia Niskae The 4th f Nvember S steemiaalsi Ctets. Etesis t Variable Returs-t-Scale (0.4) S steemiaalsi Radial Super-efficiec Case Prblems with Radial Super-efficiec Case

More information

Fourier Series & Fourier Transforms

Fourier Series & Fourier Transforms Experimet 1 Furier Series & Furier Trasfrms MATLAB Simulati Objectives Furier aalysis plays a imprtat rle i cmmuicati thery. The mai bjectives f this experimet are: 1) T gai a gd uderstadig ad practice

More information

CS161 Design and Analysis of Algorithms. Administrative

CS161 Design and Analysis of Algorithms. Administrative CS161 Desig ad Aalysis of Algorithms Da Boeh 1 Admiistrative Lecture 1, April 3, 1 Web page http://theory.staford.edu/~dabo/cs161» Hadouts» Aoucemets» Late breakig ews Gradig ad course requiremets» Midterm/fial/hw»

More information

ENGI 4421 Central Limit Theorem Page Central Limit Theorem [Navidi, section 4.11; Devore sections ]

ENGI 4421 Central Limit Theorem Page Central Limit Theorem [Navidi, section 4.11; Devore sections ] ENGI 441 Cetral Limit Therem Page 11-01 Cetral Limit Therem [Navidi, secti 4.11; Devre sectis 5.3-5.4] If X i is t rmally distributed, but E X i, V X i ad is large (apprximately 30 r mre), the, t a gd

More information

SPECIMEN. Candidate Surname. Candidate Number

SPECIMEN. Candidate Surname. Candidate Number Candidate Frename General Certificate f Secndary Educatin Mdern Freign Languages Prtuguese - Writing Specimen Paper Candidates answer n the questin paper. Additinal materials: nne Centre Number Candidate

More information

INSTRUMENTAL VARIABLES

INSTRUMENTAL VARIABLES INSTRUMENTAL VARIABLES Technical Track Sessin IV Sergi Urzua University f Maryland Instrumental Variables and IE Tw main uses f IV in impact evaluatin: 1. Crrect fr difference between assignment f treatment

More information

Comment on John Taylor: Rules Versus Discretion: Assessing the Debate over the Conduct of Monetary Policy

Comment on John Taylor: Rules Versus Discretion: Assessing the Debate over the Conduct of Monetary Policy Cmment n Jhn Taylr: Rules Versus Discretin: Assessing the Debate ver the Cnduct f Mnetary Plicy Octber 13th, 2017 Dnald Khn Rbert V. Rsa Chair in Internatinal Ecnmics Senir Fellw, Ecnmic Studies The Brkings

More information

Chemistry 20 Lesson 11 Electronegativity, Polarity and Shapes

Chemistry 20 Lesson 11 Electronegativity, Polarity and Shapes Chemistry 20 Lessn 11 Electrnegativity, Plarity and Shapes In ur previus wrk we learned why atms frm cvalent bnds and hw t draw the resulting rganizatin f atms. In this lessn we will learn (a) hw the cmbinatin

More information

Lesson Plan. Recode: They will do a graphic organizer to sequence the steps of scientific method.

Lesson Plan. Recode: They will do a graphic organizer to sequence the steps of scientific method. Lessn Plan Reach: Ask the students if they ever ppped a bag f micrwave ppcrn and nticed hw many kernels were unppped at the bttm f the bag which made yu wnder if ther brands pp better than the ne yu are

More information

Churn Prediction using Dynamic RFM-Augmented node2vec

Churn Prediction using Dynamic RFM-Augmented node2vec Churn Predictin using Dynamic RFM-Augmented nde2vec Sandra Mitrvić, Jchen de Weerdt, Bart Baesens & Wilfried Lemahieu Department f Decisin Sciences and Infrmatin Management, KU Leuven 18 September 2017,

More information

Digitalisation of industrial processes: what effects on the volume of employment?

Digitalisation of industrial processes: what effects on the volume of employment? Digitalisatin f industrial prcesses: what effects n the vlume f emplyment? Presentatin f external research Laurent Zibell, Plicy Adviser Cnference: The digital transfrmatin f industrial prducts and prcesses:

More information

Continuous Functions

Continuous Functions Cotiuous Fuctios Q What does it mea for a fuctio to be cotiuous at a poit? Aswer- I mathematics, we have a defiitio that cosists of three cocepts that are liked i a special way Cosider the followig defiitio

More information

Please Stop Laughing at Me and Pay it Forward Final Writing Assignment

Please Stop Laughing at Me and Pay it Forward Final Writing Assignment Kirk Please Stp Laughing at Me and Pay it Frward Final Writing Assignment Our fcus fr the past few mnths has been n bullying and hw we treat ther peple. We ve played sme games, read sme articles, read

More information

14.2 Simplifying Expressions with Rational Exponents and Radicals

14.2 Simplifying Expressions with Rational Exponents and Radicals Name Class Date 14. Simplifyig Expressios with Ratioal Expoets ad Radicals Essetial Questio: How ca you write a radical expressio as a expressio with a ratioal expoet? Resource Locker Explore Explorig

More information

Lecture 6: Phase Space and Damped Oscillations

Lecture 6: Phase Space and Damped Oscillations Lecture 6: Phase Space and Damped Oscillatins Oscillatins in Multiple Dimensins The preius discussin was fine fr scillatin in a single dimensin In general, thugh, we want t deal with the situatin where:

More information

Identical Particles. We would like to move from the quantum theory of hydrogen to that for the rest of the periodic table

Identical Particles. We would like to move from the quantum theory of hydrogen to that for the rest of the periodic table We wuld like t ve fr the quatu thery f hydrge t that fr the rest f the peridic table Oe electr at t ultielectr ats This is cplicated by the iteracti f the electrs with each ther ad by the fact that the

More information

Quantum Mechanics for Scientists and Engineers. David Miller

Quantum Mechanics for Scientists and Engineers. David Miller Quatum Mechaics fr Scietists ad Egieers David Miller Time-depedet perturbati thery Time-depedet perturbati thery Time-depedet perturbati basics Time-depedet perturbati thery Fr time-depedet prblems csider

More information

AP Statistics Notes Unit Eight: Introduction to Inference

AP Statistics Notes Unit Eight: Introduction to Inference AP Statistics Ntes Uit Eight: Itrducti t Iferece Syllabus Objectives: 4.1 The studet will estimate ppulati parameters ad margis f errrs fr meas. 4.2 The studet will discuss the prperties f pit estimatrs,

More information

MULTIDIMENSIONAL EXTENICS THEORY

MULTIDIMENSIONAL EXTENICS THEORY U.P.B. Sci. Bull., Series A, Vl. 75, Iss. 1, 213 ISSN 1223-727 MULTIDIMENSIONAL EXTENICS THEORY Ovidiu Ilie ŞANDRU 1, Luige VLǍDAREANU 2, Paul ŞCHIOPU 3, Victr VLǍDAREANU 4, Alexadra ŞANDRU 5 Î această

More information

CHM112 Lab Graphing with Excel Grading Rubric

CHM112 Lab Graphing with Excel Grading Rubric Name CHM112 Lab Graphing with Excel Grading Rubric Criteria Pints pssible Pints earned Graphs crrectly pltted and adhere t all guidelines (including descriptive title, prperly frmatted axes, trendline

More information

APEX DYNAMICS, INC. Stainless

APEX DYNAMICS, INC. Stainless APE DYNAMICS, INC. HIGH PRECISION PLANETARY GEARBO AB / ABR Series Stainless High precisin planetary gearbx AB / ABR series Apex Dynamics, Inc. is the wrld s mst prductive manufacturer f servmtr drive

More information

Experiment #3. Graphing with Excel

Experiment #3. Graphing with Excel Experiment #3. Graphing with Excel Study the "Graphing with Excel" instructins that have been prvided. Additinal help with learning t use Excel can be fund n several web sites, including http://www.ncsu.edu/labwrite/res/gt/gt-

More information

Eric Klein and Ning Sa

Eric Klein and Ning Sa Week 12. Statistical Appraches t Netwrks: p1 and p* Wasserman and Faust Chapter 15: Statistical Analysis f Single Relatinal Netwrks There are fur tasks in psitinal analysis: 1) Define Equivalence 2) Measure

More information

Author. Introduction. Author. o Asmir Tobudic. ISE 599 Computational Modeling of Expressive Performance

Author. Introduction. Author. o Asmir Tobudic. ISE 599 Computational Modeling of Expressive Performance ISE 599 Cmputatial Mdelig f Expressive Perfrmace Playig Mzart by Aalgy: Learig Multi-level Timig ad Dyamics Strategies by Gerhard Widmer ad Asmir Tbudic Preseted by Tsug-Ha (Rbert) Chiag April 5, 2006

More information

Intelligent Pharma- Chemical and Oil & Gas Division Page 1 of 7. Global Business Centre Ave SE, Calgary, AB T2G 0K6, AB.

Intelligent Pharma- Chemical and Oil & Gas Division Page 1 of 7. Global Business Centre Ave SE, Calgary, AB T2G 0K6, AB. Intelligent Pharma- Chemical and Oil & Gas Divisin Page 1 f 7 Intelligent Pharma Chemical and Oil & Gas Divisin Glbal Business Centre. 120 8 Ave SE, Calgary, AB T2G 0K6, AB. Canada Dr. Edelsys Cdrniu-Business

More information

The Law of Total Probability, Bayes Rule, and Random Variables (Oh My!)

The Law of Total Probability, Bayes Rule, and Random Variables (Oh My!) The Law f Ttal Prbability, Bayes Rule, and Randm Variables (Oh My!) Administrivia Hmewrk 2 is psted and is due tw Friday s frm nw If yu didn t start early last time, please d s this time. Gd Milestnes:

More information

A Study on Estimation of Lifetime Distribution with Covariates Under Misspecification

A Study on Estimation of Lifetime Distribution with Covariates Under Misspecification Prceedigs f the Wrld Cgress Egieerig ad Cmputer Sciece 2015 Vl II, Octber 21-23, 2015, Sa Fracisc, USA A Study Estimati f Lifetime Distributi with Cvariates Uder Misspecificati Masahir Ykyama, Member,

More information

Examination No. 3 - Tuesday, Nov. 15

Examination No. 3 - Tuesday, Nov. 15 NAME (lease rit) SOLUTIONS ECE 35 - DEVICE ELECTRONICS Fall Semester 005 Examiati N 3 - Tuesday, Nv 5 3 4 5 The time fr examiati is hr 5 mi Studets are allwed t use 3 sheets f tes Please shw yur wrk, artial

More information

Level One: What new technologies were introduced during the Industrial Revolution? (5 points)

Level One: What new technologies were introduced during the Industrial Revolution? (5 points) Tpic One: AZSS. S2. C6. PO6: Industrial Revlutin Level One: What new technlgies were intrduced during the Industrial Revlutin? (5 pints) Respnse (5 pts.) Respnse Descriptin: This respnse shuld list at

More information

Chapter 23 Electromagnetic Waves Lecture 14

Chapter 23 Electromagnetic Waves Lecture 14 Chapter 23 Electrmagnetic Waves Lecture 14 23.1 The Discvery f Electrmagnetic Waves 23.2 Prperties f Electrmagnetic Waves 23.3 Electrmagnetic Waves Carry Energy and Mmentum 23.4 Types f Electrmagnetic

More information

Supplementary Course Notes Adding and Subtracting AC Voltages and Currents

Supplementary Course Notes Adding and Subtracting AC Voltages and Currents Supplementary Curse Ntes Adding and Subtracting AC Vltages and Currents As mentined previusly, when cmbining DC vltages r currents, we nly need t knw the plarity (vltage) and directin (current). In the

More information

History the Hood Way. Amy Shell-Gellasch Betty Mayfield Hood College. MD-DC-VA Section October 27, 2012

History the Hood Way. Amy Shell-Gellasch Betty Mayfield Hood College. MD-DC-VA Section October 27, 2012 Histry the Hd Way Amy Shell-Gellasch Betty Mayfield Hd Cllege MD-DC-VA Sectin Octber 27, 2012 Weaving histry int the majr Mathematics as part f the liberal arts Frm the Department s Missin Statement: Students

More information

Signals & Systems Chapter3

Signals & Systems Chapter3 Sigals & Systems Chapter3 1.2 Discrete-Time (D-T) Sigals Electroic systems do most of the processig of a sigal usig a computer. A computer ca t directly process a C-T sigal but istead eeds a stream of

More information

A proposition is a statement that can be either true (T) or false (F), (but not both).

A proposition is a statement that can be either true (T) or false (F), (but not both). 400 lecture nte #1 [Ch 2, 3] Lgic and Prfs 1.1 Prpsitins (Prpsitinal Lgic) A prpsitin is a statement that can be either true (T) r false (F), (but nt bth). "The earth is flat." -- F "March has 31 days."

More information

Hº = -690 kj/mol for ionization of n-propylene Hº = -757 kj/mol for ionization of isopropylene

Hº = -690 kj/mol for ionization of n-propylene Hº = -757 kj/mol for ionization of isopropylene Prblem 56. (a) (b) re egative º values are a idicati f mre stable secies. The º is mst egative fr the i-ryl ad -butyl is, bth f which ctai a alkyl substituet bded t the iized carb. Thus it aears that catis

More information

NUMBERS, MATHEMATICS AND EQUATIONS

NUMBERS, MATHEMATICS AND EQUATIONS AUSTRALIAN CURRICULUM PHYSICS GETTING STARTED WITH PHYSICS NUMBERS, MATHEMATICS AND EQUATIONS An integral part t the understanding f ur physical wrld is the use f mathematical mdels which can be used t

More information

Medium Scale Integrated (MSI) devices [Sections 2.9 and 2.10]

Medium Scale Integrated (MSI) devices [Sections 2.9 and 2.10] EECS 270, Winter 2017, Lecture 3 Page 1 f 6 Medium Scale Integrated (MSI) devices [Sectins 2.9 and 2.10] As we ve seen, it s smetimes nt reasnable t d all the design wrk at the gate-level smetimes we just

More information

4.3 Growth Rates of Solutions to Recurrences

4.3 Growth Rates of Solutions to Recurrences 4.3. GROWTH RATES OF SOLUTIONS TO RECURRENCES 81 4.3 Growth Rates of Solutios to Recurreces 4.3.1 Divide ad Coquer Algorithms Oe of the most basic ad powerful algorithmic techiques is divide ad coquer.

More information

English 10 Pacing Guide : Quarter 2

English 10 Pacing Guide : Quarter 2 Implementatin Ntes Embedded Standards: Standards nted as embedded n this page are t be cntinuusly spiraled thrughut the quarter. This des nt mean that nging explicit instructin n these standards is t take

More information

CS 477/677 Analysis of Algorithms Fall 2007 Dr. George Bebis Course Project Due Date: 11/29/2007

CS 477/677 Analysis of Algorithms Fall 2007 Dr. George Bebis Course Project Due Date: 11/29/2007 CS 477/677 Analysis f Algrithms Fall 2007 Dr. Gerge Bebis Curse Prject Due Date: 11/29/2007 Part1: Cmparisn f Srting Algrithms (70% f the prject grade) The bjective f the first part f the assignment is

More information

N C R S I L V E R Q U A N T U M F A Q

N C R S I L V E R Q U A N T U M F A Q N C R S I L V E R Q U A N T U M F A Q V 2 Cntents NCR Silver Quantum Overview... 2 What is NCR Silver Quantum?... 2 Hw is it different than Silver n ios r the Silver Andrid?... 2 Pwer Related Questins...

More information

Mean residual life of coherent systems consisting of multiple types of dependent components

Mean residual life of coherent systems consisting of multiple types of dependent components Mea residual life f cheret systems csistig f multiple types f depedet cmpets Serka Eryilmaz, Frak P.A. Cle y ad Tahai Cle-Maturi z February 20, 208 Abstract Mea residual life is a useful dyamic characteristic

More information

Kinetic Model Completeness

Kinetic Model Completeness 5.68J/10.652J Spring 2003 Lecture Ntes Tuesday April 15, 2003 Kinetic Mdel Cmpleteness We say a chemical kinetic mdel is cmplete fr a particular reactin cnditin when it cntains all the species and reactins

More information

6.3 Testing Series With Positive Terms

6.3 Testing Series With Positive Terms 6.3. TESTING SERIES WITH POSITIVE TERMS 307 6.3 Testig Series With Positive Terms 6.3. Review of what is kow up to ow I theory, testig a series a i for covergece amouts to fidig the i= sequece of partial

More information