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Buffalo State - TECH - 465
BUFF STATE PROJECT 1-27-2008 WAYNE R. CAMERON BACKGROUND: I HAVE BEEN USING ROPE LIGHTS IN THE FLOWER BEDS IN FRONT OF THE HOUSE FOR MANY YEARS. UNTIL NOVEMBER OF 2007, THEY WERE CONTROLLED BY A RADIO SHACK PLUG N' POWER RECEPTACLE, (SIMILAR TO X10 D
Buffalo State - TECH - 465
Student Research and Creativity Celebration abstracts Related to ENT 465 Sixth 2006 Student Research and Creativity Celebration Using a Microcontroller in an End ofLine TesterNavindra Bhajan, Brandon Davis, Ed Petre, andWosen Wolde, ENT465, El
Buffalo State - TECH - 465
10th 2008 Student Research and Creativity CelebrationInfrared Safe OpenerJoe Siegmann, Lawrence Guilford III, and Paul Whissel,ENT465, Electrical Circuit DesignFaculty Mentor: Professor Stephanie Goldberg, TechnologyAs part of the Engineering Te
Buffalo State - TECH - 465
Ninth 2007 Student Research and Creativity CelebrationAutomated Temperature-ControlledChamberThomas Chiantia, Kazi Karim, and Drew Gugliuzza,ENT 465, Electronic DesignFaculty Mentor: Professor Stephanie Goldberg, TechnologyThe main objective of
Buffalo State - TECH - 465
Cordero King Hugo Pineda Christopher FowlerPreliminary Design ReviewConstruct Tesla coil for wireless energy transfer Items discussed Procedure Basic schematic Items required Safety GoalsSchematicFinished secondary coil Finished generatin
Buffalo State - TECH - 465
"Leak Test Apparatus" Capstone Project Middle Design ReviewENT465 Buffalo State College Spring 2009Operational Project Definition ENT465 Electrical Design Capstone project team consisting of David Siembida, Jeffrey Przepasniak and Danny Kolanda
Buffalo State - TECH - 465
Buffalo State - TECH - 465
Sheet18 9 8 7 0 9 7 8 8 9 8 9 7.5 Tesla Coil Average in last column and last row Comments: Item 3: User manual should have been printed out Item 3: Oscilloscope have no values and are chopped Item 5: Fuse should be before the switch Item 6: Hard to
UMass Lowell - ENG - 16572
File: H:\16472F2001\Program1\printme.c10/11/2001, 3:51:21PM#ifndef NUMBER_H #define NUMBER_H /*- N u m b e r . h -*/ /* by: George Chene Cheney Embedded Real Time System Systems Electrical and Computer Engineering Dept Dept. UMASS Lowel Lowell*
SUNY Stony Brook - AMS - 501
Homework 2, due March 3 1. Solve problem 1.20 from Bender, Orszag, Advanced mathematical methods for scientists and engineers, page 32.2. Find eigenvalues and eigenfunctions (if any) to the following boundary value problems a) y + 2y + 2 y = 0, b
SUNY Stony Brook - AMS - 501
~Aer~,{P~p&J1Ad c~ce .CFc'Y1-('I.e?-t1-./-erv J.L J -=:1 / y 13 (1 (CC-) ~ J1(c?, 6 Jf3Z(:J (p)-z-IS'p41 lieSek ,0oA ja.v4tJ/ n. ci:IL~~ -t Zr/7,)~Lu-z/,8" /t{rq)}-=- (/r( ( j '/7T-z-O131(~(~)-z- cI-'~ 2-
SUNY Stony Brook - AMS - 501
HW 4, due April 30.Problem 1 Classify all singular points of the dierential equation x(1 x)y 3xy y = 0, and nd two independent solutions using the method of Frobenius about x = 0.Problem 2 Obtain the leading behavior of the following equation
SUNY Stony Brook - AMS - 341
AMS 341 (Spring, 2009) Exam 1 - Solution notes Mean 77.6, median 81, high 99 (2 of them!), low 34. 1. (20 points) Consider the following LP: max z = 2x1 - x2 + x3 s.t. x1 + 2x2 - x3 3x1 - 2x2 + x3 x1 , x2 x3 (a). Rewrite the LP in standard form. max
SUNY Stony Brook - AMS - 540
AMS 540 / MBA 540 (Fall, 2008)Estie ArkinHomework Set # 7: Solution notes 1). (a). Dual solution is w1 = 4, w2 = 0, w3 = 10, objective = 440. Therefore, I would choose to increase the amount of resource 3, it has the highest shadow price. (b).
SUNY Stony Brook - AMS - 540
AMS 540 / MBA 540 (Fall, 2008)Estie ArkinLinear Programming - FinalDo all problems. Write your answers on the exam. You are permitted to use the text, your notes and any material handed out in class. The exam time is 2 hours and 30 minutes. GOOD
SUNY Stony Brook - AMS - 315
AMS 315 Data Analysis. Homework Set 1.Due to February 5th. (Thursday) Please, do the following problems from the book: 3.58, 4.59, 4.61, 4.65, 4.78, 4.90, 4.91, 4.97.1
SUNY Stony Brook - AMS - 315
AMS 315 Data Analysis. Homework Set 2.Due to February 12th. Please, do the following problems from the book: 4.104, 4.110, 4.114, 5.10, 5.14, 5.22, 5.23, 10.531
SUNY Stony Brook - AMS - 315
AMS 315 Data Analysis. Homework Set 3.Due to February 19th. Please, do the following problems from the book: 5.25, 5.26, 5.32, 5.37, 5.76, 5.77, 5.961
SUNY Stony Brook - AMS - 315
AMS 315 Data Analysis. Homework Set 6.Due to March 31st. Please, do the following problems from the book: 10.05(a,b,c), 10.06, 10.16, 10.18, 10.19(a,b), 10.22.1
SUNY Stony Brook - AMS - 315
AMS 315 Data Analysis. Homework Set 8.Due to April 30th. Please, do the following problems from the book: 11.07, 11.08, 11.09, 11.27, 11.291
SUNY Stony Brook - AMS - 311
AMS 311 (Fall, 2008)Joe MitchellPROBABILITY THEORYFinal Tuesday, December 23, 2008 READ THESE INSTRUCTIONS CAREFULLY. Do not start the exam until told to do so. Make certain that you have all 10 pages (including this cover sheet, and a page at t
SUNY Stony Brook - AMS - 527
AMS 527, Spring 2009, Homework 370 points. Due: Monday 02/23Electronic submission of homework assignments is strongly encouraged for the computer problems. For A the written part, you are encouraged (but not required) to typeset using L TEX or LYX
SUNY Stony Brook - AMS - 527
AMS 527, Spring 2009, Homework 6100 points. Due: Monday 04/20Electronic submission of homework assignments is strongly encouraged for the computer problems. For A the written part, you are encouraged (but not required) to typeset using L TEX or LYX
SUNY Stony Brook - AMS - 527
AMS 527, Spring 2009, Homework 7100 points. Due: Monday 05/04Electronic submission of homework assignments is strongly encouraged for the computer problems. For A the written part, you are encouraged (but not required) to typeset using L TEX or LYX
SUNY Stony Brook - AMS - 527
AMS527: Numerical Analysis IILecture 1: Course Overview & Overview of Scientific ComputingXiangmin JiaoSUNY Stony BrookJanuary 26, 2009Xiangmin JiaoAMS527: Numerical Analysis IICourse DescriptionFundamentals of numerical computation Top
SUNY Stony Brook - AMS - 527
Nonlinear Equations Numerical Methods in One Dimension Methods for Systems of Nonlinear EquationsScientific Computing: An Introductory SurveyChapter 5 Nonlinear EquationsProf. Michael T. HeathDepartment of Computer Science University of Illino
SUNY Stony Brook - AMS - 527
Interpolation Polynomial Interpolation Piecewise Polynomial InterpolationScientic Computing: An Introductory SurveyChapter 7 InterpolationProf. Michael T. HeathDepartment of Computer Science University of Illinois at Urbana-ChampaignCopyrigh
SUNY Stony Brook - AMS - 527
Numerical Integration Numerical Differentiation Richardson ExtrapolationScientific Computing: An Introductory SurveyChapter 8 Numerical Integration and DifferentiationProf. Michael T. HeathDepartment of Computer Science University of Illinois
SUNY Stony Brook - AMS - 527
Ordinary Differential Equations Numerical Solution of ODEs Additional Numerical MethodsScientific Computing: An Introductory SurveyChapter 9 Initial Value Problems for Ordinary Differential EquationsProf. Michael T. HeathDepartment of Computer
SUNY Stony Brook - AMS - 527
Partial Differential Equations Numerical Methods for PDEs Sparse Linear SystemsScientific Computing: An Introductory SurveyChapter 11 Partial Differential EquationsProf. Michael T. HeathDepartment of Computer Science University of Illinois at
SUNY Stony Brook - AMS - 527
AMS527: Numerical Analysis IIA Brief Overview of Finite Element Methods (I)Xiangmin JiaoSUNY Stony BrookApril 27, 2009Xiangmin JiaoAMS527: Numerical Analysis IIOverviewBasic concepts Mathematical formulation and discretization Computer
SUNY Stony Brook - AMS - 527
Discrete Fourier Transform Fast Fourier Transform ApplicationsScientic Computing: An Introductory SurveyChapter 12 Fast Fourier TransformProf. Michael T. HeathDepartment of Computer Science University of Illinois at Urbana-ChampaignCopyright
SUNY Stony Brook - AMS - 527
AMS527: Numerical Analysis IIReview for Final Exam Xiangmin JiaoSUNY Stony BrookMay 8, 2009Xiangmin JiaoAMS527: Numerical Analysis IIAnnouncementsFinal exam will be on Wed 5/13 at 8:0010:30am in P-128 Physics Building The exam will be com
SUNY Stony Brook - AMS - 546
AMS/MBA 546 (Spring, 2009)Estie ArkinNetwork Flows - Final, sketch of solutionsAverage 85.67, high 95! 1). (a). A Feedback edge set of an undirected graph G = (V N E) is a subset of edges E E whose removal results in an acyclic graph G = (V N
SUNY Stony Brook - AMS - 526
AMS526: Numerical Analysis I (Numerical Linear Algebra)Lecture 17: Eigenvalue Problems ContdXiangmin JiaoSUNY Stony BrookNovember 6, 2008Xiangmin Jiao (SUNY Stony Brook) AMS526: Numerical Analysis I (Numerical Linear Algebra) 6, 2008 November
SUNY Stony Brook - AMS - 526
AMS526: Numerical Analysis I (Numerical Linear Algebra)Review Session Xiangmin JiaoSUNY Stony BrookDecember 15, 2008Xiangmin Jiao (SUNY Stony Brook) AMS526: Numerical Analysis I (Numerical Linear Algebra) 15, 2008 December1/9Announcement: F
SUNY Stony Brook - AMS - 31209
February 2nd Binomial Experiment A binomial Experiment1. Consists of n trials 2. Each trial has 2 possible outcomes, say `S' or `F'. 3. The probability of getting an outcome of `S' remarks the same from trial to trial. P (' S ') = p 4. These trial
SUNY Stony Brook - AMS - 31209
February 2nd Binomial Experiment A binomial Experiment1. Consists of n t r ials 2. Each t r ial has 2 possible outcomes, say `S' or `F'. 3. The probability of getting an outcome of `S' remarks the same from t r ial to t r ial. P'S'=p 4. These t r
SUNY Stony Brook - AMS - 31209
February 6th Sampling from the normal populationTheorem. Let X 1 , X 2 ,L , X n be a random sample from a normal population N ( , 2 ) . Then, we have the following: 1.X ~ N ( ,2 ~ n -12 ) n2.( n - 1) S 223.X and S 2 are independent
SUNY Stony Brook - AMS - 31209
February 9th Point EstimatorsExample. Let X 1 , X 2 ,L , X n be a random sample from N ( , 2 ) . Please find a good point estimator for 1.2. 2^ Solutions. 1. = X^ 2. 2 = S 2There are the typical estimators for and S 2 . Both are unbiased e
SUNY Stony Brook - AMS - 31209
Homework 2 (due to February 9th)Question 1. Prove E ( S 2 ) = 2 for any distribution/population. Question 2. Please point out a chi-square random variable with k degrees of freedom corresponds to which particular gamma distribution. Please write
SUNY Stony Brook - AMS - 31209
February 13th The Solution of Homework 2Question 1. Prove E ( S 2 ) = 2Solutionfor any distribution/population.(n - 1) S 2 =n i =1 n(Xi-X)22 2 2 = X i - + - X ) = ( X i - ) - 2 ( X i - ) ( X - ) + ( X - ) ( i =1 i =1 n
SUNY Stony Brook - AMS - 31209
February 13th The Solution of Homework 2Question 1. ProveSolutionfor any distribution/population.Question 2. Solution Please point out a chi-square random variable with k degrees of freedom corresponds to which particular gamma distribution.
SUNY Stony Brook - AMS - 31209
AMS312.01Quiz 1Spring 2009 Name: _ ID: _ Signature: _ Instruction: This is a close book exam. Anyone who cheats in the exam shall receive a grade of F. Please provide complete solutions for full credit. The exam goes from 12:50-2:10pm. Good luc
SUNY Stony Brook - AMS - 31209
The Solution of Quiz 1Question 1. (a)[i][ii] likelihood function[iii] log likelihood function[iv](b)Question 2.Let S be the event that someone wears sunglasses and B be the event that a check bounces.Question 3. (a)The population m
SUNY Stony Brook - AMS - 31209
HW2 Solution5.3.14 (solution) For Foley to win the election he needed to win at least 8088 of the absentee votes, since 8088 >8086=2174+(14,000-8088). If X is the number of absentee votes for Foley, then it is binomial with n=14,000 and p to be det
SUNY Stony Brook - AMS - 31209
Solution of AMS312_2008 Practice Mid-term 1AMS312.01Practice Midterm Exam #1Spring, 2009Instructions: This is a close book exam. Anyone who cheats in the exam shall receive a grade of F. Please provide complete solutions for full credit. Good
SUNY Stony Brook - AMS - 31209
February 20th Order StatisticsLet be a random sample from a population with p.d.f. . Then,andp.d.f.'s forW.L.O.G.(Without Loss of Generality), let's assume X is continuous.
SUNY Stony Brook - AMS - 31209
February 27thToday : Cramer-Rao lower bound^ Unbiased Estimator of , say 1 , 2 , 3 ,L^ It could be really difficult for us to compare Var ( i ) when there are many of them.Theorem. Cramer-Rao Lower Bound^ Let Y1 , Y2 ,L , Yn be a random sam
SUNY Stony Brook - AMS - 31209
March 9thProblem 5 (extra credit) in Quiz 2During one of the "bear wars" in the early 1980's, a taste test between Schlitz and Budweiser was the focus of a TV commercial. 100 people agreed to drink 2 unmarked mugs and indicate which of the two bee
SUNY Stony Brook - AMS - 31209
March 13th(continue) Sample size calculates for 1 population proportions based on the maximum error E.^ Definition. P ( p - pE) = 1- We want to estimate p within E with a probability of (1 - ) .Derive the formula for n^ P( p - p P(- E E) =
SUNY Stony Brook - AMS - 31209
April 3th Likelihood Ratio Test (Another method to construct a test)Example 1. Let be a random sample from where is known. We wish to test versus at the significance level . Please derive the test using the likelihood ratio method. Solution.1. Wr
SUNY Stony Brook - AMS - 31209
April 13th Midterm (100 points)1. (1) 8 (2) 8 (3) 92. (1) 12.5 (2) 12.5 3. (1) 13 4. (1) 6 Highest : 94 Lowest : 7 Average : 62 If you get 50 or above, it is passing (C or above) (2) 12 (2) 6 (3) 6 (4) 71. Normal population = 0.4 (oz) (1) H H
SUNY Stony Brook - AMS - 31209
April 13th Midterm (100 points)1. (1) 8 (2) 8 (3) 92. (1) 12.5 (2) 12.5 3. (1) 13 4. (1) 6 Highest : 94 Lowest : 7 Average : 62 If you get 50 or above, it is passing (C or above) (2) 12 (2) 6 (3) 6 (4) 71. Normal population (oz)(1)Test Stati
SUNY Stony Brook - AMS - 31209
April 20th Grade1. Midterm 2. Group project PPT presentation (35min, everyone talks) 3. HW / Quiz 4. Final Score #1 Score #2 : Final exam alone Either #1 or #21.Power of the testExample. The one-sample t-test, is known.Our goal : (1) Deriv
SUNY Stony Brook - AMS - 31209
April 27th PresentationMay 4th : Chapter 10 and 11 May 8th : Chapter 12 and 14The time for each group is between 30 and 35 minutes. Every member should talk.Chapter 10 : 10.1, 2, 3, 4, 5 and 6 Chapter 11 : 1, 2, 3, 4 and 5 Chapter 12 : 1, 2, 3 a
SUNY Stony Brook - AMS - 505
AMS-505Applied Linear Algebra Instructor: Prof. Roman Samulyak AMS Department, Stony Brook University Office: 1-119, Mathematics building Tel.: 631 632 8353 Email: rosamu@ams.sunysb.edu Web page: http:/www.ams.sunysb.edu/~rosamu and Brookhaven Natio
SUNY Stony Brook - AMS - 505
SUNY Stony Brook - AMS - 301
AMS301.3: Finite Mathematical Structures A, Fall 2008Instructor: Estie Arkin, Math Tower 1-106, 632-8363, estie@ams.sunysb.edu, http:/www.ams.sunysb.edu/~estie/estie.html;Office hours: Monday 10-11, Tuesday 1-3, and by appointment. I am usually in
SUNY Stony Brook - AMS - 301
AMS 301.3Fall, 2008Homework Set # 1 - Solution Notes# 2, 1.1: (a). Nodes correspond to teams, and we draw a (directed) edge (u, v) iff team u beat team v.A BDC(b). Rankings are: ADCB, BADC, CBAD, DBAC, DCBA #4, 1.1: (a). Define a graph: A
SUNY Stony Brook - AMS - 301
AMS 301.3 (Fall, 2008)Estie ArkinHomework Set # 6 Solution NotesA: (a) Kruskal's algorithms would insert the edges in the following order: (S,B) (H,G) (these 2 edges come in in either order), then (S,D) (A,B), in either order, then (A,H) andon