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Michigan State University - MTH - 235
September 11, 2011Physics for Scientists & Engineers 2, Chapter 221General Charge Distributions We have determine the electric eld from point charges Consider the electric eld due to a charge distribution We divide the charge into differential element
Michigan State University - MTH - 235
September 13, 2011Physics for Scientists & Engineers 2, Chapter 221Special SymmetriesSeptember 13, 2011Physics for Scientists & Engineers 2, Chapter 222Gauss Clicker Shown is an arrangement of ve charged pieces of plastic and an electrically neutr
Michigan State University - MTH - 235
9/14/11Physics for Scientists & Engineers 2, Chapter 231 An electric eld has many similarities to a gravitational eld For example, the magnitude of the gravitational force and the electric force are given bym1m2 Fg = G 2 r q1q2 Fe = k 2 r Both gravit
Michigan State University - MTH - 235
9/15/11Physics for Scientists & Engineers 2, Chapter 231 Given is a uniform electric eld E. Find the potential difference Vf-Vi by moving a test charge q0 along the path icf. Idea: Integrate along the path connecting ic and cf. Imagine, we move a test
Michigan State University - MTH - 235
September 20, 2011Physics for Scientists & Engineers 2, Chapter 241 Capacitors are devices that store energy in an electric eld Capacitors are used in many every-day applications Heart de brillators Camera ash units Touch screens Capacitors are an esse
Michigan State University - MTH - 235
September 21, 2011Physics for Scientists & Engineers 2, Chapter 241We grade out 6, meaning that one question is a bonus question! Monday in class: Show how to solve all exam problems Remember: We drop the lowest exam50 45Number of students40 35 30 2
Michigan State University - MTH - 235
September 22, 2011Physics for Scientists & Engineers 2, Chapter 241 A battery must do work to charge a capacitor We can think of this work as changing the electric potential energy of the capacitor e differential work dW done by a battery with a potent
Michigan State University - MTH - 235
September 27, 2011Physics for Scientists & Engineers 2, Chapter 251[ Fx ] = F cos(62o)(x and y components of vector, many HW problems) F=qE (Textbook, eq. 22.1, definition of E field) Fx Fcos(62 o ) 54 10 -6 cos(62 ) Fx =qE x E x = = = = 8.178 N/C -6
Michigan State University - MTH - 235
September 27, 2011Physics for Scientists & Engineers 2, Chapter 251 Some materials conduct electricity better than others If we apply a given voltage across a conductor, we get a large current If we apply the same voltage across an insulator, we get ve
Michigan State University - MTH - 235
September 29, 2011Physics for Scientists & Engineers 2, Chapter 251In parallel: +13.7 V Observation: Take out one bulb, nothing happens to the others0VAssume: The bulbs are almost identical and have the same resistanceSeptember 29, 2011 Physics for
UCLA - CEE - 266
Civil and Environmental Engineering 266Environmental BiotechnologyBy the end of the quarter, you should have learned the following: Lecture 1 1. chemical bonds covalent, hydrogen, ionic, hydrophobic interactions 2. names and structures of simple organic
UCLA - CEE - 266
Text 1Text 2Category 1Category 2Category 3covalent bondex: peptide bondsChemical Bondshydrogen bondex: bonding between complementary strands of DNAChemical Bondsionic bondChemical BondshydrophobicityChemical Bondsproteins"polymers of a
UCLA - CEE - 266
CEE266EnvironmentalBiotechnology Homework#21. [10points]Whichofthefollowingformsofoxygenismosttoxictolivingorganisms? a. molecularoxygen b. hydroxylradical c. superoxideanion d. hydrogenperoxide 2. [10points]Thedilutionrateofachemostatdependson(multip
UCLA - CEE - 254
Syllabus for 254A, Aquatic ChemistryInstructor: Jenny Ayla Jay Office: 5732H Boelter Hall, 267-5365 Lab: 7678 Boelter Hall, 267-4654 Cell: 310-866-2444 Office hours: Mondays 1-2, Tuesdays 10-11 and by appointment. Please do not hesitate to stop by or cal
UCLA - CEE - 254
Errata from the First Printing Chapter 1: Substantive errors: p. 8: "and high pe (high e activity)" should be "and high pe (low e activity)" Minor errors: p. 7: "acid/base" and "oxidation/reduction" should be "acid-base" and "oxidationreduction" p. 7 foot
UCLA - CEE - 250
C&EE 250A Surface Water HydrologyUCLA, Fall 2011Course Description: Advanced study of surface water hydrology, including discussion andinterrelationship of major topics such as rainfall and evaporation, soils and infiltration properties, runoff and sno
UCLA - CEE - 250
CEE 250A UCLA, Fall 2011 Resarch Paper Assignment Prepare a journal-type research paper on a topic of interest which is related to our discussions of hydrology and water resources engineering. You are basically writing a "state-of-the-art" review on a spe
UCLA - CEE - 250
C&EE 250A Surface Water Hydrology UCLA, Fall 2011Problem Set #1 (due Wednesday, October 12, 2011) During this quarter you will each work with a unique data set from a watershed in the United States. Each of you is being assigned a basin from the MOPEX da
UCLA - CEE - 250
C&EE 250A Surface Water Hydrology UCLA, Fall 2011Problem Set #4 due Monday, November 28th, 2pm 1. Below is a 30-minute unit hydrograph for a 2.1 km2 urban catchment (runoff resulting from 30-minute precipitation event). Time (min) 0 30 60 90 120 150 180
UCLA - CEE - 255A
CEE 255A - Physical & Chemical Processes in Water and Wastewater Treatment Lecture 1 Introduction, Chemical Reactions, and Chemical KineticsDr. Minghua Li and Eric M.V. Hoek Civil & Environmental EngineeringC&EE 255A ObjectivesReview basic chemistry, t
UCLA - CEE - 255A
CEE 255A Lecture 2 Reactor Types and Ideal Flow ModelsDr. Eric M.V. Hoek Civil & Environmental EngineeringReactor Types (a) Batch Reactor (b) MFR (CSTR) (c) MFR's in Series (d) Rectangular PFR (e) Tubular PFR (f) Serpentine PFR (g) Downflow PBR (h) Upfl
UCLA - CEE - 255A
CEE 255A Lecture 3 Mass Transport in Water General Microscopic Mass Balance Convective Diffusion Layer CharacteristicsDr. Eric M.V. Hoek Civil & Environmental EngineeringToday's Lecture Outline Microscopic Transport in FluidsPhenomenological Transpor
UCLA - CEE - 255A
CEE 255A Lecture 4 Non-Ideal Flow & Reactor ModelsDr. Eric M.V. Hoek Civil & Environmental EngineeringGeneral Reactor Design Algorithm1. Mole Balances (constant volume)PFR FA0dX/dV = -rA rA = kACA CBCC/K) MFR V = FA0(Xout Xin)/(-rA)out rA = kACA/(1 +
UCLA - CEE - 255A
COURSE SYLLABUS C&EE 255a: Physical and Chemical Processes for Water and Wastewater TreatmentOverview Review of chemical kinetics, mass transfer, and reactor engineering principles and their application to coagulation-flocculation, sedimentation-flotatio
UCLA - CEE - 255A
National Water Research InstituteAN NWRI WHITE PAPERDirect Potable Reuse: Benefits for Public Water Supplies, Agriculture, the Environment, and Energy ConservationPrepared by:EDWARD SCHROEDER, GEORGE TCHOBANOGLOUS, HAROLD L. LEVERENZ, AND TAKASHI ASAN
UCLA - CEE - 255B
Activated Sludge Process ModelUCR ENVI 121, Spring 2010, Ben S.-Y. Leu, syleu@ucla.eduThe reactor of activated sludge process (ASP) is called completely mix activated sludge (CMAS) system, which is a completely mixed reactor followed by a clarifier as s
UCLA - CEE - 255B
1. DefinitionsADPaerobes ammonification anaerobes anaerobic anoxicarchebact,~riaATPautotrophic bacillus bacteria catabolite repression cell membrane cell wall cells - eucaryotic cells - procaryotic chemoautotrophi c chemotrophic coccus commensalism d
UCLA - CEE - 255B
Figure 1. Andrews Clifft ModelFluid PhaseFloc PhaseReadily biodegradable substrate, SS O2DirectsynthesisActive heterotrophic biomass, XB,H DecayCO2HydrolysisSlowly biodegradable substrate, XSEntrapment (instantaneous)Entrapped slowly biodegrada
UCLA - CEE - 255B
UNIVER SITY OF CA LIFORNIA, LOS ANGELESCivil & Environmental Engineering DepartmentFundamentals of Chemical Reactor TheoryMichael K. Stenstrom Professor Diego Rosso Teaching Assistant Los Angeles, 2003Introduction In our everyday life we operate chemi
UCLA - CEE - 255B
C & EE 255B Prof. M. K. Stenstrom Winter 2011BALANCING REDOX EQUATIONS Balancing redox (oxidation-reduction) equations is a simple and very useful technique of performing balances from empirical equations describing microbial stoichiometry. Each basic eq
UCLA - MAE 103 - MAE 103
UNIVER SITY OF CA LIFORNIA, LOS ANGELESCivil & Environmental Engineering DepartmentFundamentals of Chemical Reactor TheoryMichael K. Stenstrom Professor Diego Rosso Teaching Assistant Los Angeles, 2003Introduction In our everyday life we operate chemi
Syracuse - HST - 102
!) Briefly describe Appolos life. Born: July 4, 1858 City of New Haven, Connecticut. Father: Lee Ah Bow, a man who was born in the city of Ning Poo, China and came to the country in 1847 and settled in San Fransciso, Califronia. His father was in the tea
Syracuse - HST - 102
20:36 "If you don't know your history, you don't know your present." Special Development: primary questions: "am I normal?" "how do I rate?" (how do I measure up?) Double Standard: Males. It's okay for guys sex anywhere anytime. It's okay if guy and girls
UCLA - AS AM 10 - 121030200
Asian American 10 Lecture 7 & Majority of 8 AGRICULTURE, RACE, LAW I. Tokugawa Bakufu How might we define Hawaiian Japanese nationalism? What kind of historical events and processes link these two archipelagos across the Asian Pacific? Japan industrialize
UCLA - AS AM 10 - 121030200
Asian American 10 Lecture 7 AGRICULTURE, RACE, LAW I. Tokugawa Bakufu How might we define Hawaiian Japanese nationalism? What kind of historical events and processes link these two archipelagos across the Asian Pacific? Japan industrialized, went to UK, l
UCLA - ENGR - 202
8. Assessing Product Reliability8. Assessing Product ReliabilityThis chapter describes the terms, models and techniques used to evaluate and predict product reliability. 1. Introduction 1. Why important? 2. Basic terms and models 3. Common difficulties
UCLA - ENGR - 202
Accountability Modules WHAT IT IS Return to Table of ContentsData Analysis: Describing Data - Descriptive StatisticsDescriptive statistics include the numbers, tables, charts, and graphs used to describe, organize, summarize, and present raw data. Descr
UCLA - ENGR - 202
CHAPTER1IntroductionThis introductory chapter provides an overview of quality and reliability engineering techniques, the relationship between reliability and cost, and reliability, design, and assessment. This chapter also presents the scope and organ
UCLA - ENGR - 202
Contents1. RELIABILITY MATHEMATICS 11 1 2 2 2 2 3 3 3 4 5 5 5 6 6 8 10 13 151.1. A Brief Introduction to Probability Theory and Statistics 1.1.1. Basic Definitions 1.1.2. Probability Properties, Theorems and Axioms 1.1.2.1. Mutually Exclusive Events 1.
UCLA - ENGR - 202
Outline Distribution Models Used in ReliabilityLecture 11 Chapter 3: Random Variables and Their DistributionsM. George AkritasM. George AkritasLecture 11 Chapter 3: Random Variables and Their DistributioOutline Distribution Models Used in Reliability
UCLA - ENGR - 202
Some basic derivatives:f (x) xn ln(x) cos(x) cot(x) cosec(x) sin-1 (x) sinh(x) tanh(x) sech(x) sinh-1 (x) tanh-1 (x) f (x) nxn-1 1/x - sin(x) -cosec2 (x) -cosec(x) cot(x) 1/ 1 - x2 for |x| < 1 cosh(x) sech2 (x) -sech(x) tanh(x) 1/ x2 + 1 1/(1 - x2 ) for
UCLA - ENGR - 202
Lectures on Stat-613 (Reliability)Dr. Hanan M. Aly Lecture 4The Normal DistributionThe normal distribution, also known as the Gaussian distribution, is the most widely-used general purpose distribution. It is for this reason that it is included among t
UCLA - ENGR - 202
Engineering 202Reliability, Maintainability & SupportabilityLecture 1IntroductionDr. Bei-dwo Changbeidwo@gmail.com (Cell) 310 986-1858page1Course Objective and Prerequisites Instructor: Dr. Bei-dwo Chang Ph.D. in Physics, University of Chicago 19
UCLA - ENGR - 202
Physics of Failures In theory failures can be understood using principles of physics and chemistry Constructing mathematical models to correlate causal variables with failures Can demonstrate how failures occur and when they will occur Only a very limi
UCLA - ENGR - 202
Conditional Probability Definition P (AIB) = the conditional probability of A given B = the probability that A occurs given B has occurred = the probability that A occurs in the sample space of event BABP(AIB) ( ) ()or ( ) = P(AIB) ()P(BIA)( ) ()