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Software Java Solutions Chapter 2 Objects and Primitive Data 1 Object-Oriented Programming This course introduces the idea of developing software by defining objects: Objects with which we can interact via our programs. Objects which can interact with each other as our programs execute. Your programs will define software objects that model objects in the real world. Data that describes an instance...
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Software Java Solutions
Chapter 2 Objects and Primitive Data
1
Object-Oriented Programming
This course introduces the idea of developing
software...
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Elon - CSC - 130
Intro to OOP with Java, C. Thomas WuChapter 4Defining Your Own Classes Part 1Animated VersionThe McGraw-Hill Companies, Inc. Permission required for reproduction or display.4th Ed Chapter 4 - 1ObjectivesAfter you have read and studied thi
Elon - CSC - 130
Intro to OOP with Java, C. Thomas WuChapter 1ObjectivesAfter you have read and studied this lecture, you should be able toIntroduction to Problem Solving and Object-Oriented Programming Name the three parts of solving problems using computer
Elon - CSC - 130
Intro to OOP with Java, C. Thomas WuChapter 1ObjectivesAfter you have read and studied this chapter, you should be able toIntroduction to Problem Solving and Object-Oriented Programming Name the three parts of solving problems using computer
Elon - CSC - 130
Using Methods in CodeMethods Methods are small pieces of code that can be used in other pieces of code. They have _ or more inputs, and _ output. This allows you to write code _rather than many times This allows you to __ a hard problem into ea
Elon - CSC - 130
Public and Private Primitives versus Objects public: everyone can use private: only used by this object.Accessibility Example Service obj = new Service(); obj.memberOne = 10; obj.memberTwo = 20; obj.doOne(); obj.doTwo(); class Service { public
Elon - CSC - 130
Programming RemindersProgram Life CycleYou have to type most things exactly Spaces don't matter, much (most cases) Capitalization matters Punctuation mattersFollow the examples.Types of ProgramsApplications: Programs that run in windows
Elon - CSC - 130
Review Game 1int num = 5; double x = 3; if(x<num){ System.out.println("x is "+x + " and " +num); if(x<0){ System.out.println("x is negative"); } else{ System.out.println("x is not negative"); } } else if(x < 7){ System.out.println("x is "+x); } x =
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Software PrototypingqAnimating and demonstrating system requirementsIan Sommerville 1995/2000 (Modified by Spiros Mancoridis 1999)Software Engineering, 6th edition. Chapter 8Slide 1Uses of System PrototypesqqqThe principal use is to
Berkeley - ASTRO - 00336489
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Berkeley - ASTRO - 00336489
89.219 89.399 271.606 89.719989.399 89.643 225.781 72.914389.643 89.837 278.23 87.278389.837 89.99 346.295 110.85789.99 90.125 362.141 119.62690.125 90.255 376.069 124.22790.255 90.411 313.391 103.52390.411 90.536 431.813 135.45690.536 90.634
Berkeley - ASTRO - 00336489
# t1 t2 dt rad_min rad_max cts err scl bg bg_rat wt 0.089219 0.089271 0.000052 0. 16. 11.00 3.32 0.878525 0.000000 0.281406 1 0.089271 0.089312 0.000041 0. 16. 10.44
Berkeley - ASTRO - 00336489
# tmin tmax 0.649048 468.14651 [ksec];instrument XRT;exposure 53506.160;xunit kev;bintype counts0.000000 0.010000 0.000000 0.0000000.010000 0.020000 0.000000 0.0000000.020000 0.030000 0.000000 0.0000000.030000 0.040000 0.00000
Berkeley - ASTRO - 00336489
# tmin tmax 0.089219000 4.17137 [ksec];instrument XRT;exposure 549.03391;xunit kev;bintype counts0.000000 0.010000 0.000000 0.0000000.010000 0.020000 0.000000 0.0000000.020000 0.030000 0.000000 0.0000000.030000 0.040000 0.00000
Berkeley - ASTRO - 00336489
SIMPLE = T / file does conform to FITS standardBITPIX = 8 / number of bits per data pixelNAXIS = 0 / number of data axesEXTEND = T / FITS dataset may contain extensio
Berkeley - ASTRO - 00336489
# Ep lEiso95.211 122.075100.406 122.078107.816 122.234110.525 122.238111.473 122.202113.633 122.173114.976 122.288116.161 122.317117.980 122.204118.052 122.206118.865 122.250120.177 122.238120.661 122.296121.661 122.274122.632 122.304
UAB - CS - 624
%!PS-Adobe-2.0 %Creator: dvipsk 5.58f Copyright 1986, 1994 Radical Eye Software %Title: as2w00.dvi %Pages: 1 %PageOrder: Ascend %BoundingBox: 0 0 612 792 %DocumentPaperSizes: Letter %EndComments %DVIPSCommandLine: dvips -o as2w00.ps as2w00.dvi %DVIPS
Berkeley - ASTRO - 00336489
-294.56990 -289.65580 -283.83720 -276.47580 -267.04230 28.141600 44.368900 55.737500 821.97890 840.28780 855.62490 868.05090 881.10050 4033.5266 4033.
Berkeley - ASTRO - 00336489
# tmin tmax 10.0000 468.14651 [ksec];instrument XRT;exposure 51429.258;xunit kev;bintype counts0.000000 0.010000 0.000000 0.0000000.010000 0.020000 0.000000 0.0000000.020000 0.030000 0.000000 0.0000000.030000 0.040000 0.00000
UAB - CS - 624
An Operating System Exampleclass Kerneld thread while true do skip end Kerneld class Ftpd thread while true do skip end Ftpd class Syslogd thread while true do skip end Syslogd class Lpd thread while true do skip end Lpd class Httpd thread while tru
UAB - CS - 624
The AVL Tree Classclass AVLTree is subclass of Tree functions tree_isAVLTree : tree -> bool tree_isAVLTree(t) = true end AVLTree
UAB - CS - 624
The Queue Classclass Queue instance variables vals : seq of Tree`node := []; operations Enqueue : Tree`node => () Enqueue (x) = vals := vals ^ [x]; Dequeue : () => Tree`node Dequeue () = def x = hd vals in ( vals := tl vals; return x) pre not isEmpt
UAB - CS - 624
The Tree Classclass Tree types tree = <Empty> | node; node : lt: Tree nval : int rt : Tree instance variables root: tree := <Empty>;operations nodes : () => set of node nodes () = cases root: <Empty> -> return ({}), mk_node(lt,v,rt) -> return(lt.n
UAB - CS - 624
The ATMCard Classclass ATMCard is subclass of BankAccount instance variables cardnumber : seq of digit; expiry : digit * digit * digit * digit; inv (let mk_(m1,m2,y1,y2) = expiry in m1 * 10 + m2 <= 12) and len cardnumber >= 8 operations GetCardnumbe
UAB - CS - 624
The ATMMachine Classclass ATMMachine types digit = BankAccount`digit functions encryptPin : seq of digit -> nat encryptPin (digs) = if digs = [] then 0 else (hd digs) + 10 * encryptPin(tl digs); instance variables status : <InService> | <OutOfServic
UAB - CS - 624
The Test Classclass Test instance variables atm: ATMMachine := new ATMMachine(); operations Init: () => () Init () = start(atm) end Test
UAB - CS - 624
A Sorting Example Illustrating Statementsclass St values v15 = selection_sort([3,2,9,1,3]); st1 = mk_(1,6,[3,2,-9,11,5,3]) instance variables x:nat; y:nat; l:seq1 of nat;functions min_index : seq1 of nat -> nat min_index(l) = if len l = 1 then 1 e
UAB - CS - 624
%!PS-Adobe-2.0 %Creator: dvipsk 5.58f Copyright 1986, 1994 Radical Eye Software %Title: new.dvi %Pages: 18 %PageOrder: Ascend %BoundingBox: 0 0 612 792 %DocumentPaperSizes: Letter %EndComments %DVIPSCommandLine: dvips -o new.ps new.dvi %DVIPSParamete
UAB - CS - 624
The GroupPhase Classclass GroupPhase values secondRoundWinners = [<A>,<B>,<C>,<D>,<E>,<F>,<G>,<H>]; secondRoundRunnersUp = [<B>,<A>,<D>,<C>,<F>,<E>,<H>,<G>] types Team = <Brazil> | <Norway> | <Morocco> | <Scotland> | <Italy> | <Chile> | <Austria> |
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Chemistry 2100 Carbon Oxidation Numbers HandoutWhen dealing with carbon compounds, one problem arises with the conventional method for determining oxidation numbers. It calculates the AVERAGE oxidation number but this does not tell us anything abou
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Dr. Ying Zheng NAME: Question Mark Possible INSTRUCTIONS:Chemistry 2100 Practice Quiz 5 (for Chapters 11 & 12) Stu. No.: 1 2 3 4 5 6 730 minutes Section A or B (circle one) Total4445355301) Please read the exam over carefully be
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Dr. Ying ZhengChemistry 2100 Practice Quiz 2 (for Chapters 1, 2, 4)30 minutesNAME:Student Number:INSTRUCTIONS:1) Please read the exam over carefully before beginning. 2) Marks will be deducted for improper use of significant figures. 3) I
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Introduction OO BasicsLecture 1 Wednesday March 8, 20061AgendaAdministrative Course objective and outline OO BasicsWhat's OOAD? Functional decomposition and its problem What's UML? Software Development ProcessCOMP5028 Object-Oriented Analysi
George Mason - CS - 672
&6 &DSDFLW\ 3ODQQLQJ 0HWKRGRORJ\Dr. Daniel A. Menasc http:/www.cs.gmu.edu/faculty/menasce.html Department of Computer Science George Mason University 1999 Menasc. All Rights Reserved. 1:KDW LV $GHTXDWH &DSDFLW\":H VD\ WKDW D :HE VHUYLFH KDV DGH
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CS 672 Modeling MultiprocessorsDr. Daniel A. Menasc http:/www.cs.gmu.edu/faculty/menasce.html Department of Computer Science George Mason University1 1999-2001 D. A. Menasc. All Rights Reserved.Approximation for MultiprocessorsD 1 . m D/m D*(
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&6 :RUNORDG &KDUDFWHUL]DWLRQDr. Daniel A. Menasc http:/www.cs.gmu.edu/faculty/menasce.html Department of Computer Science George Mason University 1999 Menasc. All Rights Reserved. 1:KDW LV :RUNORDG &KDUDFWHUL]DWLRQ" 1999 Menasc. All Rights Res
Allan Hancock College - COMP - 5028
AgendaInceptionLecture 2 March 15, 2006Inception overview Evolutionary Requirements Use cases Other requirements Assignment 1 instruction1COMP5028 Object-Oriented Analysis and Design (S1 2006) Dr. Ying Zhou, School of IT, The University of
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%!PS-Adobe-2.0 %Creator: dvips 5.516 Copyright 1986, 1993 Radical Eye Software %Title: osdi99.dvi %CreationDate: Mon Feb 15 14:56:35 1999 %Pages: 14 %PageOrder: Ascend %BoundingBox: 0 0 612 792 %DocumentFonts: Times-Roman Times-Italic Times-Bold Cour
Allan Hancock College - AGSM - 9806
6The Application of Mathematical Programming Techniques to Financial Statement Analysis: Australian Gold Production and ExplorationbyAndrew C. Worthington Abstract: A sample of thirty listed Australian gold producers is used to compare the fina
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Your Name: _Please rate your team members from 1 to 5, as defined to the right.5 = Strongly Agree 4 = Agree 3 = Neutral 2 = Disagree 1 = Strongly Disagree 1 = Strongly DisagreeTeam Member Names Kept up with team activities, participating on a r
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BA 590Basic Marketing Concepts OverviewBA 590 Marketing Review Modules Marketing Concepts Customer Needs Industry Competition Target Marketing, Segmentation, and Marketing Research New Product Development and Sales1-5BA 590Module 1B
Oregon State - BA - 590
PreviewConceptEvaluation(Chapters812) ConceptEvalSystem ConceptTesting FullScreen SalesandForecasting ProductProtocolGroupConceptEvaluation Discussion(TimePermitting)PARTTHREECONCEPT/PROJECTEVALUATIONMcGrawHill/IrwinCopyright2006T
Allan Hancock College - COMP - 5028
AgendaGoF patterns IIComposite pattern Faade pattern Observer pattern Template MethodWeek 9 Lecture May 10, 20061COMP5028 Object-Oriented Analysis and Design (S1 2006) Dr. Ying Zhou, School of IT, The University of Sydney2Composite (st
Marist - FREN - 251
5 semaines des vacances or:6/7/09Par John edit Master subtitle style Click to YorkeBienvenue !Bonjour ! Je mappelle Luc, et jai 35 ans. Je travaille pour une entreprise depuis 6 ans. Chaque anne, ma boulot me donne cinq semaines de vacances,
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Handout 4 Lecture NotesECOLE POLYTECHNIQUE F EDERALE DE LAUSANNESchool of Computer and Communication Sciences Wireless Communications and Mobility March 21, 2002Mathematical Preliminaries1. Introduction The purpose of this chapter is to intr
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ECE459 Fall 2003Homework 1Date Assigned: 5 September 2003. Date Due: 11 September 2003 in class. 1. This question goes some distance in answering a question raised during the lecture. (a) Let r1 be the length of the direct path in Figure 1.1. Let
University of Illinois, Urbana Champaign - ECE - 559
ECE459 Fall 2003Solutions to Homework 1This document is maintained and created by the TA: Sanket Dusad. Please contact him (dusad@uiuc.edu) with typos (and mistakes!) in this document. 1. (a)r1 hs r2 hr hr r 2 2 From the gure we can see that r1
University of Illinois, Urbana Champaign - ECE - 559
ECE 459 Homework 3 SolutionsThis document is created and maintained by Sanket Dusad (dusad@uiuc.edu). 1. (a) With the property that h Xt = Hu and from (Eqn 3.2), we have, y = Hu + w (1)As the columns of Hare orthogonal, H H = = 2h[1] 0 . .
University of Illinois, Urbana Champaign - ECE - 559
ECE 459 Homework 4 SolutionsThis document is created and maintained by Sanket Dusad (dusad@uiuc.edu) and please direct all your comments and feedback to him. 1. For this example C=7 and M=10. The maximal allowable subsets are enumerated as below, S
University of Illinois, Urbana Champaign - ECE - 559
ECE459 Fall 2003Homework 7Date Assigned: 24 October 2003. Date Due: 30 October 2003 in class. Question 1. Carefully read Chapter 6 notes and comment on it. (Ch6 is long and I had given you a very short amount of time to read through and comment o
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Rehabilitation Exercise Prescription ProgramGroup #1 Carlos Leon-Carlyle #0317752 Loriana Costanzo #0308293 Bruce Monkman # Michael Bois #Henry Hiploss1Henry Hiploss Henry is an ex athlete triple jumper who fractured his left hip in an automo
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Case Study 1 45 Year old man. Activity Stretch Description Position client on hands and knees, hands below shoulders, and knees below hips. Flexion: Arch back up toward the ceiling, head facing down. Extension: Drop back into extension, stomach push
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Lauren Delpit Shiva Fara Ali RubenJournal Writing A series of written passages that document the personal events, thoughts, feelings, memories and perceptions in one's journey throughout life leading to wholenessBackground & History The word jo
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Progressive Muscle RelaxationKelly, Sam, Brooke, DanielleProgressive Muscular RelaxationKelly, Brooke, Sam, & DanielleOutline*History and background of PMR *Benefits of PMR *Supporting research *How to measure effectiveness *Types of muscular