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Minnesota - MODULE - 11
Video Curriculum: Documentary Production and AnalysisNORINA BECK / SEPTEMBER 10, 2002Subject: Community and HomeThis curriculum seeks to incorporate the techniques of video production with an understanding of how these techniques shape our interp
Minnesota - MILLE - 066
Geol 4110 Take home Final Reports - EARTH SCIENCE TEACHING UNIT DUE FRIDAY, MAY 114/05/07Objective: For your final exam, you will be asked to develop a 10- (individually) to 15-hour (as a pair) teaching unit on an Earth Science theme and grade le
Minnesota - SHIN - 0104
Introduction (1) A Case from China: Fertility PolicyLocal Society in Modern State:The Imperative of the Dual-rule GameRule 1: Chinese National Fertility Policy 1n nOne Couple, One Child Relatively Universal Rule Local Knowledge and Practice M
Minnesota - CLAR - 0514
Chapter 15Reading and Writing Social ResearchHow to Read Social Research Begin with the abstract. Skim the piece. Read the conclusion to get a good sense of what it is about. Form questions as you read and take notes. Abstract A summary of a
Minnesota - PSY - 2007
Andy Hertel Introduction to Social PsychologyTodayPsychology 3201: Introduction to Social PsychologyElliott Hall Room N119 Monday, January 29 4:00-6:00PM 4:00-Social cognitionSchemasEffects Nature TypesSocial cognitionWe are interdependen
Minnesota - PSY - 3201
Andy Hertel Introduction to Social PsychologyTodayPsychology 3201: Introduction to Social PsychologyElliott Hall Room N119 Monday, January 29 4:00-6:00PM 4:00-Social cognitionSchemasEffects Nature TypesSocial cognitionWe are interdependen
Oklahoma State - MATH - 4023
52. 0 si Z fo ytilanidrac eht os dna ,N Z .,suhT .noitcejib a si 2 dd o si n fi 1 + n n Z N : f 2 neve si n fi n pam eht taht yfirev ot ysae si ti nehT . srebmun larutan fo tes eht ,N yb dna ,sregetni fo tes eht eht ,Z yb etoned ew lausu sA . 0
Oklahoma State - MATH - 3013
LECTURE 6Inverses of Square Matrices1. Introduction To motivate our discussion of matrix inverses, let me recall the solution of a linear equation in one variable: (6.1) ax = bThis is achieved simply by multiplying both sides by a1 . Put another
Oklahoma State - MATH - 4023
03.0 > n dna ,0 = na ,sregetni l la er a 0a , . . . , 1-na , na stneicffieoc eht erehw 0 = 0a + x 1a + + 1-nx 1-na + nx na )1.9( n oitauqe laimonyl op a sefisit as fi fi rebmun ciarbegla na del lac si rebmun A .1.9 noitinif eD .rehtruf neve dlef
Minnesota - EE - 5239
EE5239Prof. T. LuoSolution of Homework #2(1.2.1) f (x, y) = 3x2 + y 4 , x0 = Therefore, f (x0 ) = 19 and f (x, y)|x0 = (a) For steepest descent algorithm, we have d0 = - f (x0 ) = Step size can be found by the Armijo rule: f( or f( 1 -2 + (.5)m
Minnesota - EE - 8950
EE 5581 Information Theory & Coding Homework 1 Due: Friday, Feb. 8, 5:00 PMProf. N. Jindal Feb. 1, 20081. (a) Write expressions for the mutual information achieved (per real-dimension) by 2-PAM and 4-PAM in an AWGN channel. Recall that an M-PAM c
Minnesota - EE - 5505
EE 5505 Wireless Communication Homework 6 Due: Tuesday, April 11, 5 PM 1. 11.5 (a,b) 2. 11.12 3. 12.7 4. 12.10 5. 12.11Prof. N. Jindal March 26, 20066. You are designing an OFDM system over a passband bandwidth of 10 MHz at a carrier frequency of
Minnesota - SW - 5
Liquid Crystalline Elastomers as Artificial MusclesP.E. CladisAdvanced Liquid Crystal Tech. Summit, NJ 07902-1314May 24, 2005Advanced Liquid Crystal Technologies, Inc.1Stress-Strain in Smectic A SLCEsStrasbourg ILCC 1998 Nicole Assfalg
Minnesota - SW - 5
Photo-Actuation in Liquid Crystal Elastomers Mark Warner Cavendish Laboratory, Cambridge.Nematic elastomers. changes in liquid crystal ordering gives polymer shape change. heat or light-induced distortions of rubber. Actuation thermo-actuation: 4
Minnesota - SW - 5
Robert B. MeyerOctober 1st, 2004Complex Fluids GroupBrandeis UniversityThermo/Electro-Mechanical Instabilitiesin Conned Samples of Nematic Gels Robert B. Meyer & Guangnan MengComplex Fluids Group, Martin Fisher School of Physics Brandeis Un
Minnesota - T - 1
Knot theory and proteinsIsabel K. Darcy University of Iowa www.math.uiowa.edu/~idarcyFrom: A deeply knotted protein structure and how it might fold, William R. Taylor, Nature 406, 916919(24 August 2000)Intricate Knots in Proteins: Function and E
Minnesota - UBICOMP - 2003
Multimodal Interactive User Interfaces for Mobile Multi-Device EnvironmentsRobbie Schaefer, Wolfgang Mueller robbie@c-lab.de, wolfgang@c-lab.de Paderborn University/C-LAB Fuerstenallee 11 Paderborn, GermanyAbstractPortable devices come with diffe
Minnesota - UBICOMP - 2003
Multi-Device, Ambient-Aware Information DeliveryBernd Mrohs and Christian RckFraunhofer Institute FOKUS Competence Center for Open Communication Systems {mrohs,raeck}@fokus.fraunhofer.deAbstract. Today, a huge number of wearable devices enable us
Minnesota - GCLUTO - 1
gCLUTO DocumentationVersion 1.2Matt Rasmussen, Mark Newman, George Karypis University of Minnesota. Copyright 2004 rasm0146@umn.edu, karypis@cs.umn.edu October 7, 2004gCLUTO DocumentationTable of Contents1 Introduction..1 1.1 What is gCLUTO..1
Minnesota - GCLUTO - 1
gCLUTO DocumentationVersion 1.1Matt Rasmussen, Mark Newman, George Karypis University of Minnesota. Copyright 2003 rasm0146@umn.edu, karypis@cs.umn.edu June 20, 2004gCLUTO DocumentationTable of Contents1 Introduction..1 1.1 What is gCLUTO..1 1
Minnesota - CLASS - 1
Assignment # 3Selected SolutionsProblem 3.4 Prove that in a group, |a| = |a1 |. Solution 1 Proof by contradiction. Recall that |a| = n means that n is the smallest number such that an = e. Now suppose that |a| = n, |a1 | = m and n = m. We can suppo
Minnesota - CLASS - 1
Assignment # 5-Selected Solutions Problem 4.38 Solution From Cayley table you observe that the line by element 16 is 4, 8, 12, 16, hence e = 16. Now, 42 = 16, so |4| = 2 and 4 is not a generator. On the other hand, 81 = 8, 82 = (64) = 4, 83 = (512) =
Minnesota - MATH - 5378
PROBLEM SET 11: SOLUTIONS6.3.2 d/ds(V ) = V + V = 0 alpha + V 0 = 0. Similarly, d/ds(V V ) = 0 and d/ds( ) = 0. This means V , |V |, and | | are constant, and therefore, cos = V /(|V | |) is also constant. Thus so is . For the ang
Minnesota - MATH - 5378
Math 5378, Differential Geometry Solutions to practice questions for Test 1 1. Find a parametrized curve whose trace is the set of points (x, y) in R2 with xy = 1, x > 0. Solution: One possible solution is (t) = (t, 1/t) for t (0, ). Remember to spe
Minnesota - MEREV - 001
Solutions to Homework 6FM 5001 Preparation for Financial Mathematics1-1 Determine if (1, 2, 3, 4, -44) is in the span of (1, 0, 3, 6, -2), (-2, 2, -4, -4, 10), (4, 4, 17, 18, 1), (-3, 6, -4, -9, -10). The last four vectors are the rows of the matri
Minnesota - MEREV - 001
Solutions to Homework 10FM 5001 Preparation for Financial Mathematics1. Let 1 0 2 M := 4 1 4 . 4 0 5 1-1. Find the eigenvalues of M . The eigenvalues of M satisfy the equation det(M I) = 0. 1 0 2 1 4 det(M I) = det 4 4 0 5 = (1 ) det
Minnesota - MATH - 5011
FM 5011Mathematical Background for FinanceFall 2008For # 1,2,3 Dene a PCRV (piecewise continuous random variable) 2, if 4, if Y () = 3, if 15, if (10/16)-1-1a Find the center of mass of the distribution of Y .Y : [0, 1] R by 0.00 0.
Minnesota - MATH - 5001
FM 5001Preparation for Financial MathematicsFall 20081. Denitions. Complete the following sentences. (a) (5 points) A set in Rn is closed if . . . Solution: . . . it contains all its boundary points. (b) (5 points) A function: f : Rn R is comp
Wisc Stevens Point - TSCHA - 816
Assignment Sheet Singing assignment (Students must have this assignment completed by - one week prior to instrumental rehearsal of this piece) = WTS 1 For the most part, movement one is an atonal work. Adler reserves movement two as the pieces tonal
Minnesota - MATH - 5011
FM 5011Mathematical Background for FinanceFall 2008Let Let Let LetZ := -1 be a standard normal random variable. X := 2Z - 1 be a normal variable with SD = 2 and mean = -1. F (x) = P r[X x] be the CDF of X. Y := F X be the grade of X.(10/3
Minnesota - CSCI - 1901
CSci 1901 Fall 2006 Midterm Exam 1 (100 points)This is a closed book exam. Do not use notes, books, computers, calculators, nor any other materials other than a pen and this exam booklet in completing this exam. You are encouraged to show your work
Minnesota - CSCI - 1901
CSci 1901 Fall 2007 Midterm Exam 2 (100 points)This is a 50-minute closed book exam. Do not use notes, books, computers, calculators, nor any other materials other than a pen and this exam booklet in completing this exam. You are encouraged to show
Minnesota - CSCI - 2011
CSCI2011: Discrete Structures of Computer Science (Fall 2007)Foundations (I):Propositional Logic and Predicate Logic(Chapter 1.1-1.4, Rosen 6th Edition)Rui KuangDepartment of Computer Science and Engineering University of Minnesota kuang@cs.um
Minnesota - CSCI - 5801
Lecture 8 - Requirements: What are they really?Fall 2007Fall 2007CSci 5801 - Dr. Mats Heimdahl1The WRSPM ModelMainly Jackson and ZaveObjective For TodayUnderstanding what requirements really are Reference ModelsFall 2007CSci 5801 -
Minnesota - CSCI - 5801
Lecture 12: ModelsThe Importance of Good RequirementsConcept Formation??Most problems here!Requirements Specificationhttp:/www.umsec.umn.eduDesign(Requirements) ModelingGuest Lecture: Ajitha Rajan?Implementation2How we Develop
Minnesota - CSCI - 5801
Software Engineering ICSci 5801 Fall 2007 Midterm 2 Suggested SolutionsThis is a 75-minute exam. It is a closed book test. On all essay type questions you will receive points based on the quality of the answer - not the quantity. Be to the point
Minnesota - CSCI - 5801
Software Engineering ICSci 5801 - Fall 2004 Midterm 1Question 2 - 10 Points.Why are incremental process models considered by many to be the best approach to software development in a modern context? Proposed Solution: Because time lines for the de
Minnesota - CSCI - 2031
CSci 2031 Fall 2007 Assignment 5 Key (1) The scale matrix is [6, 3, 3] throughout the procedure. The first pivot row is therefore row 2, and after the first iteration of the k loop, the index vector is [2, 1, 3], and the coefficient matrix is3/2 -
Minnesota - CSCI - 2011
CSci 2011 ! Discrete Mathematics!Lecture 2 ch1.1! Propositional Logic!Fall 2008 Yongdae KimCSci 2011 Fall 2008Recap! http:/www-users.itlabs.umn.edu/classes/Fall-2008/csci2011/ E-mail policy Include [2011] in the subject of your e-mail CC TA
Minnesota - CSCI - 5211
Data Communication and Computer Networks Assignment V1. a. Describe the differences between a bridge and a router.Sol:Bridge Operate on layer 2 Flat address space Broadcast to every port when next hop port information is unknown. Connects two p
Minnesota - CSCI - 5481
CSCI 5481: Computational Techniques in Genomics (Fall 2008)Sequence AlignmentRui KuangDepartment of Computer Science and Engineering University of Minnesota (The slides are modified from lecture notes by Serafim Batzoglou and bioalgorithms.info)
Minnesota - SENG - 5801
Software Engineering ISEng 5801 - Fall 2004 Midterm Mats HeimdahlYou have the full class period to complete the test. It is an open book test. On all essay type questions you will receive points based on the quality of the answer - not the quantit
Minnesota - CSCI - 5801
Lecture 8 - Requirements: What are they really?Fall 2007Fall 2007CSci 5801 - Dr. Mats Heimdahl1Objective For TodayUnderstanding what requirements really are Reference ModelsThe WRSPM ModelMainly Jackson and ZaveFall 2007CSci 5801 -
Minnesota - CSCI - 8211
The MAC sub layer Human AnalogyI want to talk now Me tooMedia Access Control in Wireless Sensor Networks - IIn wsgnk fstkgf hgh1Determine who goes next on a multi-access channel2MAC Protocols: a taxonomyStandards Media Access Technology
Minnesota - STAT - 3011
Example: Below is the table of yearly income of individuals in a simple random sample from Minneapolis. Yearly Income (units: $1000) 69 29 35 95 31 88 46 57 116 115 97 90 9 82 120 32 0 40 121 6 40 115 18 103 21x = 63 s = 40.6 n =25 Suppose the citi
Minnesota - STAT - 3011
Stat 3011 Fall 1995 Midterm 1Problem 15 6 6 7 7 8 8 9 7 4 22334 569 0124 67788888 24Problem 2aThe answers to this part, and two extra columns useful in drawing the histogram are Class 20, 30 30, 40 40, 50 50, 75 75, 100 100, 150b=Frequency
Minnesota - STAT - 1001
Stat 1001 Winter 1998 GeyerFinalProblem 1This is a one-sample test the subject of Chapter 26. The null hypothesis for the test is a box model with 75 blue tickets for plants with blue owers and 25 white tickets for plants with white owers. Sinc
Minnesota - STAT - 5601
Wilcoxon Test Theory NotesCharles J. Geyer February 1, 20061IntroductionThese are class notes for Stat 5601 (nonparametrics) taught at the University of Minnesota, Spring 2006. This not a theory course, so the bit of theory we do here is very
Minnesota - STAT - 5102
Additional ProblemsAdditional Problem 1Like the http:/www.stat.umn.edu/geyer/5102/examp/rlike.html#lmax example of maximum likelihood done by computer except instead of the gamma shape model, we will use the Cauchy location model. The likelihood is
Minnesota - STAT - 5102
Stat 5102 Notes: Nonparametric Tests and Confidence IntervalsCharles J. Geyer April 11, 2007This handout gives a brief introduction to nonparametrics, which is what you do when you don't believe the assumptions for the stuff we've learned so far. A
Minnesota - STAT - 5102
Stat 5102 Notes: RegressionCharles J. Geyer April 27, 2007In these notes we do not use the "upper case letter means random, lower case letter means nonrandom" convention. Lower case normal weight letters (like x and ) indicate scalars (real variabl
Minnesota - STAT - 5102
Stat 5102 Notes: Maximum LikelihoodCharles J. Geyer February 2, 20071LikelihoodGiven a parametric model specied by a p. f. or p. d. f. f (x | ), where either x or may be a vector, the likelihood is the same function thought of as a function o
Minnesota - STAT - 5102
Stat 5102 Notes: Fisher Information and Condence Intervals Using Maximum LikelihoodCharles J. Geyer March 2, 20071Web PageThis handout accompanies the web pagehttp:/www.stat.umn.edu/geyer/5102/examp/rlike.html which has computer examples of c
Minnesota - STAT - 5102
Stat 5102 Notes: Brand Name DistributionsCharles J. Geyer February 19, 20071Discrete Uniform DistributionDiscreteUniform(n).SymbolType Discrete. Rationale Equally likely outcomes. Sample Space The interval 1, 2, . . ., n of the integers. Pr
Minnesota - STAT - 5931
A GLM ExampleCharles J. Geyer Ruth G. Shaw November 3, 2003As part of a research program to assess the evolutionary consequences of extreme population fragmentation, Stuart Wagenius has conducted a field experiment to study seedling recruitment in
Minnesota - STAT - 5102
Stat 5102 (Geyer) Spring 2009 Homework Assignment 4 Due Wednesday, February 18, 2009Solve each problem. Explain your reasoning. No credit for answers with no explanation. If the problem is a proof, then you need words as well as formulas. Explain wh