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Maharishi - CS - 435
Vectors12/28/05 16:00Vectors1Outline and ReadingThe Vector ADT (2.2.1) Array-based implementation (2.2.1)12/28/05 16:00Vectors2The Vector ADTThe Vector ADT extends the notion of array by storing a sequence of arbitrary objects An el
Maharishi - CS - 435
Lesson 6 TREES, PRIORITY QUEUES, & HEAPSPure consciousness is a source of orderliness.Main Points1. The Tree ADT models a hierarchical structure between objects simplified to a parent-child relation. Nodes store arbitrary objects and connect to o
Maharishi - CS - 435
Heaps and Priority Queues2 5 9 7 6Heaps and Priority Queues1Priority Queue ADT ( 2.4.1)A priority queue stores a collection of items An item is a pair (key, element) Main methods of the Priority Queue ADTinsertItem(k, o) inserts an item with
Maharishi - CS - 435
Dictionaries and Hash Tables0 1 2 3 4025-612-0001 981-101-0002451-229-0004Dictionaries and Hash Tables1Dictionary ADT (2.5.1)The dictionary ADT models a searchable collection of keyelement items The main operations of a dictionary are se
Maharishi - CS - 525
MAHARISHI INTERNATIONAL UNIVERSITY 1971-1995MAHARISHI UNIVERSITYof MANAGEMENTEngaging the Managing Intelligence of NatureLab 6:Observer PatternObserver : LabObserver : Lab without the observer patternpublic class Counter {.public void
Maharishi - CS - 525
MAHARISHI INTERNATIONAL UNIVERSITY 1971-1995MAHARISHI UNIVERSITYof MANAGEMENTEngaging the Managing Intelligence of NatureLab 1:Strategy patternStrategy labStrategy labpublic class ScribbleCanvasListener implements MouseListener, MouseMot
Maharishi - CS - 525
MAHARISHI INTERNATIONAL UNIVERSITY 1971-1995MAHARISHI UNIVERSITYof MANAGEMENTEngaging the Managing Intelligence of NatureLab 2:Patterns:Iterator and VisitorIterator: LabIterator: Lab without iteratorvoid JButtonAllSwimmers_actionPerformed
Maharishi - CS - 525
MAHARISHI INTERNATIONAL UNIVERSITY 1971-1995MAHARISHI UNIVERSITYof MANAGEMENTEngaging the Managing Intelligence of NatureLab 5:State PatternState : Example without state patternpublic class Application { public class Person { static public
Maharishi - CS - 525
MAHARISHI INTERNATIONAL UNIVERSITY 1971-1995MAHARISHI UNIVERSITYof MANAGEMENTEngaging the Managing Intelligence of NatureAdvanced Software DevelopmentCS Faculty Computer Science DepartmentLesson 3:Patterns:VisitorVisitor : Labpublic clas
Maharishi - CS - 525
MAHARISHI INTERNATIONAL UNIVERSITY 1971-1995MAHARISHI UNIVERSITYof MANAGEMENTEngaging the Managing Intelligence of NatureLab 7:Chain of Responsibility PatternChain of Responsibility : LabFilesColorsOther 2005 Maharishi University of
Maharishi - CS - 525
MAHARISHI INTERNATIONAL UNIVERSITY 1971-1995MAHARISHI UNIVERSITYof MANAGEMENTEngaging the Managing Intelligence of NatureAdvanced Software DevelopmentCS Faculty Computer Science DepartmentLab 8:Patterns: Bridge LabBridge : Motivation 2B
Maharishi - CS - 525
OO & SE notes.Review notes for OO & SE principles Inheritance and polymorphism are the twin main abstraction mechanisms of OO Inheritance provides for a/the major modeling feature of OO: IsA o This is the basis of LSP (Liskov Substitution Princip
Maharishi - CS - 525
CS 525Advanced Software DevelopmentSCI Main PointsLesson 1 Introduction to Patterns and FrameworksDesign patterns capture expert knowledge in such a way that others can apply them, and gain the benefits of expert experiences. Frameworks captur
Maharishi - CS - 525
cs525: Pattern NotesNotes on Design Patternso o o o o o o o o o o o o o o o o o oBridge Chain of Responsibility Command Composite Decorator Faade Factory Patterns - General Factory Method Abstract Factory Notes on FactoriesFunctor Iterator M
Maharishi - CS - 525
A very simple Java Swing GUI:import javax.swing.*; import java.awt.*; import java.awt.event.*; /* This is a ButtonDemo Application */ public class ButtonDemo1 extends JFrame implements ActionListener { JButton b1; public ButtonDemo1() { /* Construc
Maharishi - CS - 525
Summary and more Examples of Action Listeners/ System interface provides standard API interface ActionListener { } void actionPerformer(Event e) { . }/ User specialization modifies to be useful class myActionListener implements ActionListener { vo
Maharishi - CS - 525
Another very simple Java Swing GUI, this time for Mouse events, This version uses an inner class:import java.applet.Applet; import java.awt.*; import java.awt.event.*; public class AdapterSpot extends Applet { private Point clickPoint = null; priva
Maharishi - CS - 525
ParentBasic ClassAddinAddin ClassMIBodyAugmented ClassAddedusesImplementation
Maharishi - CS - 525
Java New featurescs525New Java Features(in Java 1.5 = Tiger)Draft version.GenericsGenerics are a very important, long awaited, long planned addition to Java. C+ has generics in its templates feature; and there also it was an addition to the
Maharishi - CS - 525
A simple application of Command Pattern to GUI:/ Another command pattern example: CommandButtonpackage demos; import java.awt.*; import java.awt.event.*; import javax.swing.*; / -interface Command { /* do ?? operation .*/ public void execute(Actio
Maharishi - CS - 505
Why Functional Programming MattersJohn Hughes, Institutionen fr Datavetenskap, o Chalmers Tekniska Hgskola, o 41296 Gteborg, o SWEDEN. rjmh@cs.chalmers.seThis paper dates from 1984, and circulated as a Chalmers memo for many years. Slightly revised
Maharishi - CS - 505
Java ObscuritiesCS505: Advanced Programming LanguagesJava Obscurities Complexity in description?Contents:I. Overview..1 II. Motivations.1 A. Language Definitions..1 B. Issues and solutions.2 III. Java Obscurities..2 IV. Examples..3I. II.Ov
Maharishi - CS - 465
OPERATING SYSTEMS: Automation in AdministrationLesson 1 Evolution of Operating Systems: Pure Knowledge Has Infinite Organizing Power Operating systems organize and coordinate all the activities of a computer system. Managing such complexity has req
Maharishi - CS - 465
Vedic Computation: Redefining Computer Science in the Light of Maharishi Vedic ScienceGregory Guthrie Maharishi University of Management Fairfield, IowaAbstract Computer science has a unique and important role in today's world. With its powerful s
Maharishi - CS - 465
22INTRODUCTIONCHAP. 11.4 SOFTWARE CONCEPTSHardware for distributed systems is important, but it is software that largely determines what a distributed system actually looks like. Distributed systems are very much like traditional operating sys
Maharishi - CS - 525
TimeLog report for CS525 LabsStudent: Lab:DateTime start Hours ActivityResultTotal Hours:
Maharishi - CS - 525
MAHARISHI INTERNATIONAL UNIVERSITY 1971-1995MAHARISHI UNIVERSITYof MANAGEMENTEngaging the Managing Intelligence of NatureLab 5:Command PatternCommand : LabCommand : Lab without command patternvoid JButtonPush_actionPerformed(java.awt.even
Maharishi - CS - 525
MAHARISHI INTERNATIONAL UNIVERSITY 1971-1995MAHARISHI UNIVERSITYof MANAGEMENTEngaging the Managing Intelligence of NatureLab 10:Factory /Abstract Factory PatternFactory Method: LabThe given application processes given name. If you type in t
Maharishi - CS - 525
MAHARISHI INTERNATIONAL UNIVERSITY 1971-1995MAHARISHI UNIVERSITYof MANAGEMENTEngaging the Managing Intelligence of NatureLab 11: FrameworksFrameworks : Homework For the following two problems draw a class diagram and paste them into respect
Maharishi - CS - 525
MAHARISHI INTERNATIONAL UNIVERSITY 1971-1995MAHARISHI UNIVERSITYof MANAGEMENTEngaging the Managing Intelligence of NatureAdvanced Software DevelopmentRene de Jong Computer Science Department1Lesson 4:Patterns: Mediator and Command.In th
Maharishi - CS - 525
MAHARISHI INTERNATIONAL UNIVERSITY 1971-1995MAHARISHI UNIVERSITYof MANAGEMENTEngaging the Managing Intelligence of NatureAdvanced Software DevelopmentRene de Jong Computer Science Department1Lesson 5:Patterns: State and ObserverWholenes
Maharishi - CS - 525
MAHARISHI INTERNATIONAL UNIVERSITY 1971-1995MAHARISHI UNIVERSITYof MANAGEMENTEngaging the Managing Intelligence of NatureAdvanced Software DevelopmentRene de Jong Computer Science Department1Lesson 8:Patterns: Factory Method, Abstract Fac
Maharishi - CS - 525
MAHARISHI INTERNATIONAL UNIVERSITY 1971-1995MAHARISHI UNIVERSITYof MANAGEMENTEngaging the Managing Intelligence of NatureAdvanced Software DevelopmentRene de Jong Computer Science Department1Lesson 10:Framework DevelopmentWholeness Stat
Allan Hancock College - PAGE - 127141
The Equity Index Introduction The Equity Index (EI) is a measure of equity in the distribution of a group of people across all classification or salary levels within an institution. It takes the distribution of the group of interest and compares it t
University of Texas-Tyler - MENG - 3306
MENG 3306-01: Mechanics of Materials Text: Mechanics of Materials, 7th ed. , Hibbeler, Prentice Hall, 2008 Fall Semester, 2007 MWF 1:00 - 1:50 PM Instructor: Dr. Thomas Crippen (Office: RBN 2045, 903-566-7362, tcrippen@uttyler.edu) Mtg. 1 2 3 4 5 6 7
Allan Hancock College - PAGE - 148611
Graduate School of Education http:/www.education.uwa.edu.au/Educational Leadership EDUC8612Unit Outline Semester Two, 2008 Crawley Campus Coordinator: Simon ClarkeAll material reproduced herein has been copied in accordance wi
Houston Downtown - BIOL - 1101
Homework: Photosynthesis General Biology I Lab, Spring 2003 Homework Review Questions Name _ 1. What are the pigments responsible for photosynthesis?2. What is chromatography?3. What does a spectrophotometer measure?4. What test will be used to
Houston Downtown - MATH - 2305
Math Induction1Mathematical InductionTheorem. (The Principle of Math Induction) (PMI) Let P(n) be a proposition. If (i) P(1) is true (ii) If P(k) P(k+1) for every positive in integer then P(n) is true for every positive integer.How to use the
University of Texas - BIO - 301
<html><p>l. [8 pts]. Which of the following points were demonstrated in the condom lecture or stated in the course notes:</p><APPLET CODE="MultipleChoice.class" CODEBASE="./ProgramsNew" WIDTH=525 HEIGHT=85><PARAM NAME=NumberOfChoices Value=7><P
Illinois State - CHE - 232
ORGANIC CHEMISTRY II SPR 2009Prerequisites: Course Description:CHEMISTRY 232Chem 230 and Chem 231 Chemistry of conjugated & aromatic organic compounds, acyl transformation, addition to acyl groups and an introduction to the chemistry of biologica
Illinois State - CHE - 230
ORGANIC CHEMISTRY I FALL 2008Requisites: Course Description: Lectures: Instructor:CHEMISTRY 230Chem 141 and Chem 231 Introduction to the Chemistry of aliphatic and aromatic organic compounds. 230-01 Monday, Wednesday, Friday FSA133 12:00-12:5
Illinois State - CHE - 220
Name:_Section:_CHE 220Acid/Base Extraction Pre-Lab Questionsa) Which layer will be the bottom layer in a liquid-liquid extraction?b) If the two solvents are immiscible in one another, what is the purpose of adding drying agent to the organi
Illinois State - CHE - 220
Name:_Section:_CHE 220 Dehydration of Cyclohexanol Pre-Lab Questionsa) What is the purpose of Phosphoric Acid in the dehydration reaction?b) What will be the primary difference in the IR spectrum of cyclohexanol vs. cyclohexene?
Illinois State - CHE - 220
Name:_Section:_CHE 220 Synthesis of Butyl Acetate Pre-Lab Questionsa) Draw a depiction of the transition state for the SN2 reaction performed in this experiment?b) What is the purpose of N,N-dimethylformamide in this reaction?
Illinois State - CHE - 220
Name:_Section:_CHE 220Oxidation of 2o AlcoholPre-Lab Questionsa) What is the chemical name and molecular formula for the oxidation reagent used in this lab?b) Why is this a particularly good oxidizing reagent from an environmental perspec
Illinois State - CHE - 220
Name:_Section:_CHE 220 Aldol Condensation Pre-Lab Questionsa) In the reaction title "An Aldol Condensation" what does the term condensation mean with respect to the reaction being performed?b) The carbanion generated during the course of the r
Illinois State - CHE - 220
Name:_Section:_CHE 220 Electrophilic Aromatic Substitution Pre-Lab Questionsa) Provide a mechanism for the reaction being performed in this experiment.b) Given that the ester in the starting material is an electron withdrawing group, what shou
Illinois State - CHE - 220
CHE 220Chapter 6 & 7 Sheet 1Haloalkane Nomenclature1) Give the IUPAC name for the following molecules.Bra) b) c)Cl I ClCld)Bre)Brf)Cl BrBr F Ii)g)h)F ClBr F ClCl Br
Illinois State - CHE - 220
CHE 220Chapter 6 & 7 Sheet 2Chiral Carbons1) Indicate all the chiral carbons in the structures shown below. Some structures may have no chiral centers!a) b) c) d)e)f)g)h)i)j)k)l)OH m) BrHOCl
Illinois State - CHE - 220
CHE 220Chapter 6 & 7 Sheet 2Chiral Carbons1) Indicate all the chiral carbons in the structures shown below. Some structures may have no chiral centers!a) b) c) d)e)f)g)h)i)j)k)l)OH m) BrHOCl
Illinois State - CHE - 220
CHE 220Chapter 6 & 7 Sheet 3Assigning Configurations1) Indicate whether the chiral centers in the following molecules are R or S.a) H R OH Br R b) c) H S R H S H d) Br R R e) R H f) R H H S H R S R i) R j) H H R S S R H Br R S H S HO S R o) H C
Illinois State - CHE - 220
CHE 220Chapter 6 & 7 Sheet 5Nucleophilic Substitution Reactions1) Provide products for the following nucleophilic substitution reactions.a) -OH + I-IHOb)C N Br NC+ Br-c)BrOCH3OCH3 +Br-d)CH3S-Cl+Cl-SCH3e)ClNH
Illinois State - CHE - 220
CHE 220Chapter 6 & 7 Sheet 6SN2 Reactions: Factors Effecting Rates1) For the following pairs of reactions, predict which will occur more quickly and provide an explanation.a) -OHIHOHHOFaster: anionic form of similar nucleophiles will be
University of Texas - BIO - 301
<html><head><title>Sample Problems #1-10: Correlations</title></head><p>1. Which of the following statements describe a correlation?</p><APPLET CODE="MultipleChoice.class" CODEBASE="././Programs" WIDTH=850 HEIGHT=340><PARAM NAME=NumberOfCho
University of Texas - BIO - 301
<html><head><title>Sample Problems 31-35: Correlations</title></head><p>31. A researcher gathers data showing that people who are taller than average are also heavier than average. Indicate which of the following is (are) a possible graphical
University of Texas - BIO - 301
<html><head><title>Sample Problems #11-23: Correlations</title></head><p>11. Correlational data slows scientific progress (compared to experimental data free of correlations) because</p> <APPLET CODE="MultipleChoice.class" CODEBASE="././Pro
University of Texas - BIO - 301
<html><head><title>Sample Problems 24-30: Correlations</title></head><p>24. to 27. You gather data showing that children who live near the Austin city airport tend to do more poorly in school than the average Austin schoolchild. After thinking
Illinois State - CHE - 220
CHE 220Chapter 6 & 7 ReviewElementary Organic Chemistry 220 Chapter 6 & 7 Review Chirality: The Handedness of Molecules HaloalkanesQuestions from Text: All questions from chapters 6 & 7.Chapter 6 & 7 Overview:A) Nomenclature of Alkyl Halides
Pittsburgh - ENG - 0012
Class Activity 2-9-06 Engineering 0012: Introduction to Engineering Computing Spring Term, 2006Page 1 of 2Your assignment is to write a program for the game PAPER SCISSORS ROCK which will be played between the computer and a program user. Your
NMT - M - 411
March 30, 2007 M411 HW 13 SOLUTIONS 1. 15-1a,b: Determine if the algorithms are backward stable, stable but not backward stable, or unstable? We will assume that for each instance, f l(x) = x (1 + ") is unique. ~ (a) f (x) = 2x; f (x) = x ~ f (x) =