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Course: DYNAMICS 440:222, Spring 2012School: Rutgers
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Texas Tech - BA - 3305
Rutgers - DYNAMICS - 440:222
Lecture #1 Part #1 - INTRODUCTION & RECTILINEAR KINEMATICS: CONTINUOUS MOTIONToday s Objectives: Students will be able to: 1. Find the kinematic quantities (position, displacement, velocity, and acceleration) of a particle traveling along a straight path
Texas Tech - BA - 3305
Rutgers - DYNAMICS - 440:222
Lecture #2 Part #1 CURVILINEAR MOTION: GENERAL & RECTANGULAR COMPONENTSToday s Objectives: Students will be able to: 1. Describe the motion of a particle traveling along a curved path. 2. Relate kinematic quantities in terms of the rectangular components
Rutgers - DYNAMICS - 440:222
CURVILINEAR MOTION: NORMAL AND TANGENTIAL COMPONENTSToday s Objectives: Students will be able to: 1. Determine the normal and tangential components of velocity and acceleration of a particle traveling along a curved path.In-Class Activities: Reading Qui
Texas Tech - BA - 3305
Rutgers - DYNAMICS - 440:222
CURVILINEAR MOTION: CYLINDRICAL COMPONENTSToday s Objectives: Students will be able to: 1. Determine velocity and acceleration components using cylindrical coordinates.In-Class Activities: Reading Quiz Applications Velocity Components Acceleration Compo
Texas Tech - BA - 3305
Rutgers - DYNAMICS - 440:222
Lecture #5 Part #1 ABSOLUTE DEPENDENT MOTION ANALYSIS OF TWO PARTICLESToday s Objectives: Students will be able to: 1. Relate the positions, velocities, and accelerations of particles undergoing dependent motion.In-Class Activities: Reading Quiz Applica
Rutgers - DYNAMICS - 440:222
EQUATIONS OF MOTION: NORMAL AND TANGENTIAL COORDINATESToday s Objectives: Students will be able to: 1. Apply the equation of motion using normal and tangential coordinates.In-Class Activities: Reading Quiz Applications Equation of Motion in n-t Coordina
Texas Tech - BA - 3305
Rutgers - DYNAMICS - 440:222
EQUATIONS OF MOTION: CYLINDRICAL COORDINATESToday s Objectives: Students will be able to: 1. Analyze the kinetics of a particle using cylindrical coordinates. In-Class Activities: Reading Quiz Applications Equations of Motion Using Cylindrical Coordinate
Texas Tech - BA - 3305
Rutgers - DYNAMICS - 440:222
THE WORK OF A FORCE, THE PRINCIPLE OF WORK AND ENERGY & SYSTEMS OF PARTICLESToday s Objectives: Students will be able to: 1. Calculate the work of a force. 2. Apply the principle of work and energy to a particle or system of particles.In-Class Activitie
Texas Tech - BA - 3305
Rutgers - DYNAMICS - 440:222
Lecture #10 Part #1 POWER AND EFFICIENCYToday s Objectives: Students will be able to: 1. Determine the power generated by a machine, engine, or motor. 2. Calculate the mechanical efficiency of a machine.In-Class Activities: Reading Quiz Applications Def
Texas Tech - BA - 3305
Rutgers - DYNAMICS - 440:222
Lecture #6 Part #1 NEWTON S LAWS OF MOTION, EQUATIONS OF MOTION, & EQUATIONS OF MOTION FOR A SYSTEM OF PARTICLESToday s Objectives: Students will be able to: 1. Write the equation of motion for an accelerating body. 2. Draw the free-body and kinetic diag
Texas Tech - BA - 3305
Rutgers - CIVIL ENGI - 180:243
Dept. of Civil and Environmental Engineering Rutgers, The State University of New Jersey COURSE: Mechanics of Sol ids; 180:243 SEMESTER: Spring 2012 TEXT: MECHANICS OF MATERIALS, 8TH EDITION, R.C. HIBBELER, PRENTICE HALL, 2011. INSTRUCTOR:YK YONG COURS
Texas Tech - BA - 3305
Texas Tech - BA - 3305
Texas Tech - BA - 3305
Texas Tech - BA - 3305
Rutgers - PHYSICS - 750:228
Physics 228 Today: InterferenceWebsite: Sakai 01:750:228 or www.physics.rutgers.edu/ugrad/228 We studied interference at some level in 124, so this should be largely review.Tuesday, February 21, 2012InteferenceWhy do we see the colors in the soap bubb
Rutgers - PHYSICS - 750:228
Physics 228 Today: (Special) Relativity: ContinuedWebsite: Sakai 01:750:228 or www.physics.rutgers.edu/ugrad/228 First exam average 73% - well done! About 2/3 of the class was within 15 points of the average.Monday, February 27, 2012Galilean Transforms
Texas Tech - BA - 3305
Rutgers - PHYSICS - 750:228
Physics 228 - Exam 1 1 March 2010 Profs. Rabe and Coleman= Your name sticker with exam code =9. When you are asked to open the exam, make sure that your copy contains all 16 questions. Raise your hand if this is not the case, and a proctor will help you
Texas Tech - BA - 3305
Rutgers - PHYSICS - 750:228
Physics 228 - Exam 1 24 Feb 2011 Profs. Rabe and Coleman= Your name sticker with exam code =9. When you are asked to open the exam, make sure that your copy contains all 16 questions. Raise your hand if this is not the case, and a proctor will help you.
Rutgers - PHYSICS - 750:228
Texas Tech - BA - 3305
Rutgers - PHYSICS - 750:228
Physics 228, Final 2009 Key 1=a, 2=b, 3=c, 4=d, 5=e 35242 22532 32115 31425 22541 44212
Texas Tech - BA - 3305
Rutgers - PHYSICS - 750:228
Final 2010 Answer Key 1. 2. 3. 4. 5. 6. 7. 8. 9. C B B B D B A B D 10. 11. 12. 13. 14. 15. 16. 17. 18. B E A D E E B C B 19. 20. 21. 22. 23. 24. 25. 26. 27. D B E D B B E B D 28. 29. 30. 31. 32. 33. D D E E C D
Rutgers - ISE - 540:210
Homework #2 Solutions Topic Probability, Addition Rule 255. a) P(A) = 0.4 b) P(B) = 0.8 c) P(A') = 0.6 d) P(AB) = 1 e) P(AB) = 0.2 Assignments 2 55, 56, 59, 64, 67, 74, 79 256. a) 0.5 + 0.2 = 0.7 b) 0.3 + 0.5 = 0.8 259. a) S = cfw_1,2,3,4,5,6,7,8
Texas Tech - BA - 3305
Rutgers - ISE - 540:210
Homework # 1 Solutions Topic Sample space, events, set operations 215. Assignments 215, 17, 19, 20, 21, 29, 30, 33 PRESS12CAVITY 1234567812345678 217. Let c and b denote connect and busy, respectively. ThenS = cfw_c, bc, bbc, bbb
Texas Tech - BA - 3305
Rutgers - ISE - 540:210
Homework #3 Solutions Topic Conditional probability and Multiplication rule 287. a) P(A) = 86/100 c) P( A B ) = b) P(B) = 79/100 Assignment 2-87, 89, 90,93, 95, 97, 104, 105, 106P( A B ) 70 / 100 70 P( B) 79 / 100 79 P( A B) 70 / 100 70 P( A) 86 / 100
Rutgers - ISE - 540:210
Homework #4 Solutions Topic Total probability rule and independence 2109. Let R denote the event that a product exhibits surface roughness. Let N,A, and W denote the events that the blades are new, average, and worn, respectively. Then, 2111. a) (0.88)(
Texas Tech - BA - 3305
Rutgers - ISE - 540:210
ENGINEERING PROBABILITY Spring 2012 Homework #5 _ Solutions Topic Independence and Bayes Rule 2136. Let A denote the upper devices function. Let B denote the lower devices function. P(A) = (0.9)(0.8)(0.7) = 0.504 P(B) = (0.95)(0.95)(0.95) = 0.8574 P(AB)
Texas Tech - BA - 3305
Rutgers - ISE - 540:210
ENGINEERING PROBABILITY Spring 2012 Homework #6 _ Solutions Topic More on Bayes Rule and Independence 2155. 2157. Let A = excellent surface finish; B = excellent length a) P(A) = 82/100 = 0.82 b) P(B) = 90/100 = 0.90 c) P(A') = 1 0.82 = 0.18 d) P(AB) =
Rutgers - ISE - 540:210
ENGINEERING PROBABILITY Spring 2012 Homework #7 _ Solutions Topic Discrete random variables & Probability distribution functions & Expected values 32. 34. 37. 315. 316. All probabilities are greater than or equal to zero and sum to one. a) P(X 1)=P(X=1)
Texas Tech - BA - 3305
Rutgers - ISE - 540:210
ENGINEERING PROBABILITY Spring 2012 Homework #8 _ Solutions Topic Binomial Distribution 375. A binomial distribution is based on independent trials with two outcomes and a constant probability of success on each trial. a) reasonable b) independence assu
Texas Tech - BA - 3305
Rutgers - ISE - 540:210
ENGINEERING PROBABILITY Spring 2012 Homework #9 _ Solutions Topic More Binomial 379. a) P ( XAssignment 3-79, 82, 86, 87, 88, 8910 5 5) 0.015 0.99 2.40 10 8 5 10 10 10 10 9 8 b) P ( X 2) 0.010 0.99 0.011 0.99 0.012 0.99 0 1 2 0.9999 10 10 1 0 c) P
Texas Tech - BA - 3305
Rutgers - ISE - 540:210
Welcome to Engineering Probability 540:210 Professor SusanWhat is probability?Branch of math that deals with uncertainty Repeat operation again & again Each time, different outcome IE: How to operate efficiently under uncertaintyIEs Make Decisions Unde
Texas Tech - BA - 3305
Rutgers - ISE - 540:210
1Probability Basics: Sets2Experiment, Sample Space, EventCurley brackets show a set cfw_3Experiment: Flip a coin twiceCurley brackets show a set4Experiment: components in parallelDefine sample space and its elements Show event that the system wo
Texas Tech - BA - 3305
Rutgers - ISE - 540:210
1Probability for experiments with discrete sample spaces2Count Number of Elements in the Sample SpaceDiscrete S: elements in S can be counted with the integers 1, 2, 3, . finite: flip a coin S=cfw_H, T countably infinite: no. of calls in an hr S=cfw
Texas Tech - BA - 3305