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UCSC - BIO - 175
Rapid Evolution of Egg Size in Captive Salmon Daniel D. Heath, et al. Science 299, 1738 (2003); DOI: 10.1126/science.1079707The following resources related to this article are available online at www.sciencemag.org (this information is current as o
Long Island U. - CWP - 0507
What is knowledge? How does one learn? That is, what does it mean to learn?Behaviorism Knowledge is separate; it is its own entity. One learns from positive and negative reinforcements. Once the knowledge is obtained it is stored in the student's m
Long Island U. - CWP - 0507
Lucieanne Schnell Group Work GROUP WORKOctober 22, 2005Group work you either like it or you hate it depending on the group. This pass summer I went to TEAM Camp located in South Hampton. We arrived at Camp on August 14th, and were placed into two
Long Island U. - CWP - 0507
Lucie Schnell Group Pitch Team Member Craig Henshall Kathryn Ivarson Teresa Lee Lucie SchnellMay 21, 2006The movie that we would like to make is called "Rockin Rocks: The Hard Facts About Rocks". The intended audience for this movie is earth scie
Long Island U. - CWP - 0507
Collaboration Project Spring 2007 Title: Weather Know Team Members: Courtney Hartnett Lucieanne SchnellJanuary 30, 2007We choose weather to be our collaboration project. Weather is an abstract topic, which students have a difficult time understan
Long Island U. - CWP - 0507
Courtney Hartnett Lucieanne Schnell Flash Implementation Plan 1. The purpose of this project is to introduce and teach students the parts of a weather station. 2. The audience will be K-7 though K-12 3. FlowchartSlide 1 TitleSlide 2 Weather Variab
Long Island U. - CWP - 0507
Directions: Using the template, create a technology-based lesson that addresses the multiple intelligences of your students. LESSON TOPIC/TITLE LEARNERS How can maps help one predict the weather? How does one interpret a weather map? Age: 15 to 19 ye
Long Island U. - CWP - 0507
Lucieanne Schnell Thought Paper #2April 11, 2006Developmental Psychology and Technology in Education IntroductionIn today's society, are we obstructing our young children's psychology and physical development by allowing technology to be introdu
Long Island U. - CWP - 0507
ClassyGroup Members: Courtney Hartnett: Courtney.hartnett@us.army.mil Lucie Schnell: lucieanne.schnell@cwpost.liu.edu Elizabeth Young: samoa604@optonline.net Craig Henshall: craig.henshall@gmail.com Educational Problem: Education in schools today fo
Sanford-Brown Institute - ECON - 205
General EquilibriumFrancis Ysidro Edgeworth, 1845-1926Marie-sprit Lon Walras, 1834-1910ExchangeTwo consumers, A and B. Their endowments of goods 1 and 2 are A A A B B = ( 1 , 2 ) and B = ( 1 , 2 ). E.g. A = ( 6,4 ) and B = ( 2, 2 ). The
Sanford-Brown Institute - ECON - 205
Suppose WARP is violatedDoes this mean that WARP is violated for some compensated price change?YESConstruct a compensated changeEither the new choice is below the blue line:And we have a violation of WARP for a compensated changeConstruct a c
UNL - NUTR - 250
Human Nutrition & Metabolism NUTR 250 001 Progress Test 1 Test pool (pull 100 out of the 150 questions for each test) 1. Nutrients causing some signs of poor health when consumed in less than adequate amounts are called A) essential nutrients. B) non
Oregon - PH - 353
twostate_heatcap.nb1 Heat Capacity of two-state system, epsilon=k=1In[1]:= Out[1]= In[2]:= In[3]:= In[4]:=Z = 1 + Exp@-betaD 1+-betaenergy = H-1 ZL D@Z, betaD . beta 1 t; heatcap = D@energy, tD; plot1 = Plot@heatcap, 8t, 0.01, 4<D0.4
Oregon - PH - 353
PH353 Homework 2. Due Monday, April 17 I. The Poisson distribution is useful for events that have a very small probability of success, like the random decay of atomic nuclei or emission of a photon from a very dim light source. It can be derived by c
Oregon - PH - 353
CO2.nb1heat capacity of CO2 rotational states:In[1]:= In[2]:= Out[2]=eps = 0.000049; k = 1.38 10 ^ -21; z = Sum@H2 j + 1L Exp@-j Hj + 1L b epsD 2, 8j, 0, 6<D 1 13 + 2-0.002058 b2+11-0.00147 b2+9-0.00098 b2+7-0.0005
Oregon - PH - 353
The Humble Rubber Band We pretend that a rubber band, which is actually composed of long flexible chains of carbon atoms (with a sprinkle of other types), consists of N links that point either to the right or to the left, as shown below.The overall
Kenyon - WMNS - 331
Survey: Sororities at Kenyon 1. Sex (circle one): 2. Age: _3.MFClass (circle one):'02'03'04'05Other:_4. Check one: _ I am currently an active member of a fraternity or sorority at Kenyon _ I have deactivated from a fraternity or so
Johns Hopkins - MTS - 251
Microsoft Excel 11.2 Answer Report Worksheet: [Workbook1]Sheet1 Report Created: 2/16/2006 12:21:16 AM Target Cell (Max) Cell Name $D$2 x32 MAX Adjustable Cells Cell Name $B$1 X31 $B$2 x32 $B$3 X33 $B$4 X34 $B$5 X51 $B$6 X52 $B$7 X53 $B$8 X54 $B$9 X71
Johns Hopkins - MTS - 251
Johns Hopkins - MTS - 251
Problem: P1 Tables Chairs LHS Decision Variables 1.33 10.67 O.F. 30 10 146.67 Constraints Time Demand SpaceRHS6 3 13 -1 0.2540 <= -6.67 <= 4 <=40 0 4Problem: P2 Tables Chairs LHS Decision Variables 1 11.33 O.F. 30 10 143.33 Constraints Ti
Johns Hopkins - MTS - 251
Decision Variables O.F. Coefficients Constraints Capacity Demand TimeGranulated Powdered 500 500 6 3 LHS 1 2 1 1 14500 RHS 1000 <= 500 >= 1500 <= 1000 500 2000Microsoft Excel 10.0 Answer Report Worksheet: [Book1]Sheet1 Report Created: 2/8/2006
Johns Hopkins - MTS - 251
Steepest Ascent Example In this problem we wish to use Steepest Ascent for the unconstrained optimization of max f (x1 , x2 ) = 2x1 x2 + x2 x2 2x2 2 1 It is not too hard to show (using calculus) that f (X) is concave and that any local optima (wher
Johns Hopkins - MTS - 251
302520Water Usage151050 0 2 4 6 Month 8 10 12 14x 1 2 3 4 5 6 7 8 9 10 11 12 sum b a Forecasts 1 2 3 4 5 6 7 8 9 10 11 12 78 -0.08 20.17y 17 24 21 20 17 21 21 19 17 18 20 21 236x^2 1 4 9 16 25 36 49 64 81 100 121 144 650y^2 289
Johns Hopkins - MTS - 251
SOLVER HELP FILEHypothetical Problem (Six Flags) You have a six flags where you have three kinds of areas area for park rides (R), area for food (F) and area for shops (S). Management wants to know how to best utilize the area. And they have constr
Johns Hopkins - MTS - 251
Microsoft Excel 11.2 Answer Report Worksheet: [Workbook1]Sheet1 Report Created: 1/30/2006 2:17:28 PM Target Cell (Max) Cell Name $B$22 Max F Adjustable Cells Cell Name $A$4 R $B$4 F $C$4 S Constraints Cell Name $B$13 Total F $B$14 Ride F $B$15 Shop
U. Houston - CUIN - 4297
Grade for CUIN 4297 Integrated UnitName: Unit Name:Criteria Sub-Categories Has content integrity Realistic and authentic Coordinates 2 or more subjects Focuses on sense-making Cohesive, rather than separated Includes process and skill objectives In
Johns Hopkins - MTS - 251
Maximum Flow Objectives After reading this document, the student should be able to 1. Define the max flow problem. 2. Create a feasible s,t-flow. 3. Ceate a feasible (S, V-S)-cut and compute the capacity of said cut. 4. Construct the residual network
Johns Hopkins - MTS - 251
Microsoft Excel 10.0 Answer Report Worksheet: [mst.xls]Sheet1 Report Created: 3/13/2006 2:04:45 PMTarget Cell (Min) Cell Name $I$3 min LHS Adjustable Cells Cell Name $B$2 Xab $C$2 Xaf $D$2 Xbc $E$2 Xbf $F$2 Xcd $G$2 Xcf $H$2 Xef Constraints Cell Na
Johns Hopkins - MTS - 251
Microsoft Excel 10.0 Answer Report Worksheet: [Section 3.xls]General Flakes Report Created: 2/13/2008 11:50:22 AMTarget Cell (Min) Cell $B$14 MIN (cost)NameOriginal Value 0Final Value 1870Adjustable Cells Cell Name $B$4 # of Ads during Desp
Johns Hopkins - MTS - 251
Microsoft Excel 10.0 Answer Report Worksheet: [RedBrand1.xls]Model Report Created: 2/20/2008 6:16:31 PMTarget Cell (Min) Cell Name $B$36 Total cost Destination Adjustable Cells Cell $D$8 Flow $D$9 Flow $D$10 Flow $D$11 Flow $D$12 Flow $D$13 Flow $D
Johns Hopkins - MTS - 251
Microsoft Excel 10.0 Answer Report Worksheet: [Section 9.xls]Example 1 Report Created: 4/10/2008 12:53:27 PMTarget Cell (Max) Cell Name $B$12 MAX Both Adjustable Cells Cell Name $D$4 # of units of capital used $D$5 # of units of labor used Constrai
Johns Hopkins - MTS - 251
Linear Regression of the form yi=a + bxi + cxi^2Y 0 0.69 1.1 1.39 1.61 1.79 6.58 X 0.3 0.6 0.9 1.2 1.5 1.8 6.3 X^2 0.09 0.36 0.81 1.44 2.25 3.24 8.19 X^3 0.03 0.22 0.73 1.73 3.38 5.83 11.91 X^4 0.01 0.13 0.66 2.07 5.06 10.5 18.43 X*Y 0 0.41 0.99 1.6
Johns Hopkins - MTS - 251
Utility AnalysisNOTE: If you notice any typos, please let the instructor know. Suppose you are asked to choose between the following two options: Option A: Play a game in which you flip a biased coin where P(Heads) = 0.6 and P(Tails) = 0.4 and if t
Valdosta - M - 2620
Chapter 5 The Normal DistributionIn this chapter we consider the normal probability distribution5.1 Introduction and GraphingThe normal distribution is a continuous distribution and is considered a special distribution because of its widespread
Valdosta - M - 2620
Chapter 6 Confidence IntervalsThis is where statistical inference begins. The first technique we study is the use of confidence intervals.6.1 IntroductionWe remember that statistical inference is when we take the information from a sample and u
Valdosta - CS - 3340
GridView Lesson 1G ridView Basics1. Drag GridView control from Toolbox to page. 2. Set the ID (name) for GridView in Properties Window 3. Select the GridView, choose the arrow in upper r ight. This displays the GridViewTasks dialog:4. Choose Data
Valdosta - CS - 4322
Reading 3 Chaper 3 QuestionsRead pages 79-107 and then type or write answers to these questions: 1. Consider the design on pages 80-81. What happens when the price of milk goes up? 2. Consider the design on pages 80-81. What happens when they want
Valdosta - CS - 4322
Reading 4 Chaper 4 Questions, Pa rt 1Read pages 109-136 and then type or wri te answers to these questions: 1. The if statement on page 110 would not be so bad if you only had one of them. But, what if you had this in multiple places? Describe the
Valdosta - CS - 4322
Reading 7 Chaper 6 Questions1Read pages 191-223 and then type or write answers to these questions: 1. On page 195, Mary says, ".we don't want the remote to have to know the specifics of the vendor classes." Discuss a design principle that should
Valdosta - CS - 4322
Reading 8 Chaper 7 Questions Adapter & Facade PatternsRead pages 235-270 and then type or write answers to these questions: 1. What is the idea of the Adapter pattern? Briefly describe in your own words. 2. A common problem in industry is you have
Valdosta - CS - 4322
Reading 11 Chaper 10 Questions State Design Patte rnRead pages 385-423 and then type or wri te answers to these questions: 1. Describe the "normal" approach to implementing code based on a state diagram. 2. Do the design puzzle on page 395. Attach
Valdosta - CS - 4322
P roxy Design Patte rnClients must communicate with a representative (a proxy) of the desired resource, not the resource i tself. Draw U M L on board. ht tp:/www.eli.sdsu.edu/courses/spring01/cs635/notes/proxy/proxy.htmlSmart P roxyEssentially, w
Valdosta - CS - 4322
B ridge Design Patte rnhttp:/en.wikipedia.org/wiki/Bridge_pattern http:/www.cs.uofs.edu/~bi/2003f-html/se516/bridge.htm http:/www.dofactory.com/Patterns/PatternBridge.aspx http:/sourcemaking.com/design_patterns/bridge http:/www.cs.clemson.edu/~mall
Valdosta - CS - 4322
Builder Design Patternhttp:/en.wikipedia.org/wiki/Builder_pattern http:/groups.google.com/group/comp.object/browse_thread/thread/db4b3914ddea5131/25e7e96e2e91983b? lnk=st&q=&rnum=1#25e7e96e2e91983bBuilder PatternThe intention is to abstract step
Valdosta - CS - 4322
Mediator PatternEncapsulate dependencies between objects in its own class, the mediator. In this way, as dependencies grow, or change, they do so in one place. Thus, objects don't have to communicate with one another to decide on behavior; they com
Valdosta - CS - 1302
CS 1302 Homework 04 Due date: see course Schedule and Vista. For a maximum grade of 85: 1. You will build a GUI based system that allows a user to order hamburgers. Hamburgers are served on either a sesame seed, sourdoug
Valdosta - CS - 1302
CS 1302 Study Guide, Test 3 This test covers Chapters 13, 15, 16, 18, 19. You can bring two sheets of paper to the test: Sheet 1 any Java syntax (classes, methods, properties, class diagrams) for writing GUIbased, eventdriven
Valdosta - CS - 1302
CS1302Ch22 Sections Pages ReviewQuestions ProgrammingExercises 18 706735 1,2,516,1823,2830 113 Allcodeinthesenotescanbefoundinthedgibson/cs1302/22folderonthepublicdriveoftheMath/CS network. Sections22.1Introduction 1. Frequently, we find it useful
Valdosta - CS - 1302
CS 1302 Notes on Packages All code in these notes can be found in the dgibson/cs1302/packages folder on the public drive of the Math/CS network. Packages and Visibility 1. Java packages are used to group classes and
Valdosta - CS - 1302
MAT 1302, Spring 09, Test 5A - KEYAnswers to MC # 8 9 13 14 Answe r b a,b,c,d d a,b,c,d # 19 20 21 23 Answe r a c a,b,c a # 27 25 29 30 Answe r b,c,e c a b # 31 40 41 43 Answe r a a b dAnswers to Coding Problems 1. class PowerComparator implements
Valdosta - CS - 1302
CS 1302 Homework 11 Due date: see course Schedule and Vista. 1. You have been provided a shell to test how long it takes to sort an array of Employee objects using: Bubble sort, Merge sort, and Arrays.sort(). You will write the Bubble sort an
Valdosta - CS - 1301
Preliminary InformationTextbook Your textbook is: Introduction to Java Programming, 7E. The textbook website is: http:/www.cs.armstrong.edu/liang/intro7e/studentsolution.html 1. Note the location of the Review Question Answers. 2. Download the solut
Valdosta - CS - 1301
Chapter 2 Elementary ProgrammingLiang, Introduction to Java Programming, Seventh Edition, (c) 2009 Pearson Education, Inc. All rights reserved. 01360126711MotivationsIn the preceding chapter, you learned how to create, compile, and run a Java
Valdosta - CS - 1301
Chapter 3 - SelectionsSections 3.1-3.8 Pages 68-94 Review Questions 1-37 Programming Exercises 2,4,6,8,10,12,14,18,20Boolean Datatype 1. Boolean Variables A boolean (logical) variable takes one of these values: true or false. For instance consider
Valdosta - CS - 1301
Chapter 5 Methods Sections Pages Review Questions 5.15.11 142166 118 Method Example 1. This is of a main() method using a another method, f. Programming Exercises 222 (evens), 30 public class FirstMethod { public static void main
Valdosta - CS - 1301
Chapter 6 Arrays Review Questions These are some review questions about Arrays. 1D Arrays 1. Why do you use arrays? 2. How do you declare an array? 3. How do you create an array? 4. What values are in an array when it is created? 5. Ho
Valdosta - CS - 4321
Ch. 3 Protocol Assignment This is an INDIVIDUAL assignment. It is open-ended. This means you put forth the effort that you want to. Design a protocol for a banking system that will be developed using the OCSF. The system allows for multiple users who