Investigation Monitoring Inventory
|
|
- Brittney Carroll
- 5 years ago
- Views:
Transcription
1 Ivestigatio Moitorig Ivetory Name Period Date Art Smith has bee providig the prits of a egravig to FieArt Gallery. He plas to make just 2000 more prits. FieArt has already received 70 of Art s prits. The Little Prit Shoppe also wishes to order prits. Art agrees to supply FieArt with 0 prits each moth ad Little Prit Shoppe with 10 prits each moth util he rus out. Step 1 As a group, model what happes to the umber of umade prits, the umber of prits delivered to FieArt, ad the umber delivered to Little Prit Shoppe i a spreadsheet like the oe below. [ See Calculator Note 1C for differet ways to create this table or spreadsheet o your calculator. ] Moth Umade Prits FieArt Little Prit Shoppe Step 2 Use your table from Step 1 to aswer these questios: a. How may moths will it be util FieArt has a equal umber or a greater umber of prits tha the umber of prits left umade? b. How may prits will have bee delivered to the Little Prit Shoppe whe FieArt has received twice the umber of prits that remai to be made? Discoverig Advaced Algebra Ivestigatio Worksheets LESSON 1.1 5
2 Ivestigatio Moitorig Ivetory (cotiued) Step 3 Write a short summary of how you modeled the umber of prits ad how you foud the aswers to the questios i Step 2. Compare your methods with the methods of other groups. 6 LESSON 1.1 Discoverig Advaced Algebra Ivestigatio Worksheets
3 Ivestigatio Lookig for the Reboud Name Period Date You will eed: a ball, a motio sesor Whe you drop a ball, the reboud height becomes smaller after each bouce. I this ivestigatio you will write a recursive formula for the height of a real ball as it bouces. Step 1 Step 2 Set up your calculator ad motio sesor ad follow the Procedure Note to collect boucig-ball data. [ See Calculator Note 1D for calculator istructios o how to gather data. ] The data trasferred to your calculator are i the form (x, y), where x is the time sice you pressed the trigger, ad y is the height of the ball. Trace the data graphed by your calculator to fid the startig height ad the reboud height after each bouce. Record your data i the table. Bouce umber Reboud height (m) Bouce umber Reboud height (m) Collectig Data 1. Hold the motio sesor above the ball. 2. Press the trigger, the release the ball. 3. If the ball drifts, try to follow it ad maitai the same height with the motio sesor.. If you do ot capture at least 6 good cosecutive bouces, repeat the procedure Discoverig Advaced Algebra Ivestigatio Worksheets LESSON 1.2 7
4 Ivestigatio Lookig for the Reboud (cotiued) Step 3 Step Graph a scatter plot of poits i the form (bouce umber, reboud height). Record the graphig widow you use. [ See Calculator Notes 1E, 1F, 1G, ad 1H to lear how to eter, plot, trace, ad share data. ] Compute the reboud ratio for cosecutive bouces. reboud ratio reboud height previous reboud height Step 5 Decide o a sigle value that best represets the reboud ratio for your ball. Use this ratio to write a recursive formula that models your sequece of reboud height data, ad use it to geerate the first six terms. Step 6 Compare your experimetal data to the terms geerated by your recursive formula. How close are they? Describe some of the factors that might affect this experimet. For example, how might the formula chage if you used a differet kid of ball? 8 LESSON 1.2 Discoverig Advaced Algebra Ivestigatio Worksheets
5 Ivestigatio Lookig for the Reboud With Sample Data Name Period Date Whe you drop a ball, the reboud height becomes smaller after each bouce. I this ivestigatio you will write a recursive formula for the height of a ball as it bouces. Step 1 Step 2 A group of studets set up their calculator ad motio sesor ad followed the Procedure Note to collect boucigball data. [ See Calculator Note 1D for calculator istructios o how to gather data. ] The data were trasferred to the calculator i the form (x, y), where x is the time sice they pressed the trigger, ad y is the height of the ball. They traced the data graphed by the calculator to fid the startig height ad the reboud height after each bouce. These data were recorded i the table. Bouce umber Reboud height (m) Bouce umber Reboud height (m) Collectig Data 1. Hold the motio sesor above the ball. 2. Press the trigger, the release the ball. 3. If the ball drifts, try to follow it ad maitai the same height with the motio sesor.. If you do ot capture at least 6 good cosecutive bouces, repeat the procedure. Discoverig Advaced Algebra Ivestigatio Worksheets LESSON 1.2 9
6 Ivestigatio Lookig for the Reboud (cotiued) With Sample Data Step 3 Step Graph a scatter plot of poits i the form (bouce umber, reboud height). Record the graphig widow you use. [ See Calculator Notes 1E, 1F, 1G, ad 1H to lear how to eter, plot, trace, ad share data. ] Compute the reboud ratio for cosecutive bouces. reboud ratio reboud height previous reboud height Step 5 Decide o a sigle value that best represets the reboud ratio for the ball. Use this ratio to write a recursive formula that models the sequece of reboud height data, ad use it to geerate the first six terms. Step 6 Compare the experimetal data to the terms geerated by your recursive formula. How close are they? Describe some of the factors that might affect this experimet. For example, how might the formula chage if a differet kid of ball was used? 10 LESSON 1.2 Discoverig Advaced Algebra Ivestigatio Worksheets
7 Ivestigatio Doses of Medicie Name Period Date You will eed (optioal): a bowl, a supply of water, a supply of tited liquid, measurig cups graduated i milliliters, a sik or waste bucket Our kideys cotiuously filter our blood, removig impurities. Doctors take this ito accout whe prescribig the dosage ad frequecy of medicie. I this ivestigatio you will simulate what happes i the body whe a patiet takes medicie. To represet the blood i a patiet s body, use a bowl cotaiig a total of 1 liter (L) of liquid. Start with 16 milliliters (ml) of tited liquid to represet a dose of medicie i the blood, ad use clear water for the rest. Step 1 Suppose a patiet s kideys filter out 25% of this medicie each day. To simulate this, remove 1 _, or 250 ml, of the mixture from the bowl ad replace it with 250 ml of clear water to represet filtered blood. Use the table to record the amout of medicie i the blood over several days. Repeat the simulatio for each day. Day Amout of medicie (ml) Step 2 Write a recursive formula that geerates the sequece i your table. Step 3 How may days will pass before there is less tha 1 ml of medicie i the blood? Step Is the medicie ever completely removed from the blood? Why or why ot? Discoverig Advaced Algebra Ivestigatio Worksheets LESSON
8 Ivestigatio Doses of Medicie (cotiued) Step 5 Sketch a graph ad describe what happes i the log ru. y Amout of medicie (ml) x Day A sigle dose of medicie is ofte ot eough to treat a patiet s coditio. Doctors prescribe regular doses to produce ad maitai a high eough level of medicie i the body. Next you will modify your simulatio to look at what happes whe a patiet takes medicie daily over a period of time. Step 6 Start over with 1 L of liquid. Agai, all of the liquid is clear water, represetig the blood, except for 16 ml of tited liquid to represet the iitial dose of medicie. Each day, 250 ml of liquid is removed ad replaced with 23 ml of clear water ad 16 ml of tited liquid to represet a ew dose of medicie. Complete this table, recordig the amout of medicie i the blood over several days. Day Amout of medicie (ml) LESSON 1.3 Discoverig Advaced Algebra Ivestigatio Worksheets
9 Ivestigatio Doses of Medicie (cotiued) Step 7 Write a recursive formula that geerates this sequece. Step 8 Do the cotets of the bowl ever tur ito pure medicie? Why or why ot? Step 9 Sketch a graph ad explai what happes to the level of medicie i the blood after may days. y Amout of medicie (ml) x Day Discoverig Advaced Algebra Ivestigatio Worksheets LESSON
10 Ivestigatio Match Them Up Name Period Date Match each table with a recursive formula ad a graph that represet the same sequece. Write your matches i the blaks. Thik about similarities ad differeces betwee the sequeces ad how those similarities ad differeces affect the tables, formulas, ad graphs A. u 0 8 B. u 0 8 C. u where where where 1 D. u 0 2 E. u 0 F. u where 1 1 where where 1 i. ii. iii iv. v. vi LESSON 1. Discoverig Advaced Algebra Ivestigatio Worksheets
11 Ivestigatio Match Them Up (cotiued) Write a paragraph that summarizes the relatioships betwee differet types of sequeces, recursive formulas, ad graphs. What geeralizatios ca you make? What do yootice about the shapes of the graphs created from arithmetic ad geometric sequeces? Discoverig Advaced Algebra Ivestigatio Worksheets LESSON 1. 15
12 Ivestigatio Life s Big Expeditures Name Period Date I this ivestigatio you will use recursio to explore loa balaces ad paymet optios. Your calculator will be a helpful tool for tryig differet sequece models. Part 1 You pla to borrow $22,000 from a bak to purchase a ew car. You will make a paymet every moth to the bak to repay the loa, ad the loa must be paid off i 5 years (60 moths). The bak charges iterest at a aual rate of 7.9%, compouded mothly. Part of each mothly paymet is applied to the iterest, ad the remaider reduces the startig balace, or pricipal. Step 1 What is the mothly iterest rate? What is the first moth s iterest o the $22,000? If you make a paymet of $300 at the ed of the first moth, the what is the remaiig balace? Step 2 Record the balaces for the first 6 moths with mothly paymets of $300. How may moths will it take to pay off the loa? Moth Balace LESSON 1.5 Discoverig Advaced Algebra Ivestigatio Worksheets
13 Ivestigatio Life s Big Expeditures (cotiued) Step 3 Experimet with other values for the mothly paymet. What mothly paymet allows you to pay off the loa i exactly 60 moths? Step How much do you actually pay for the car usig the mothly paymet you foud i Step 3? (Hit: The last paymet should be a little less tha the other 59 paymets.) Part 2 Use the techiques that you discovered i Part 1 to fid the mothly paymet for a 30-year home mortgage of $16,000 with a aual iterest rate of 7.25%, compouded mothly. How much do you actually pay for the house? Moth Balace Discoverig Advaced Algebra Ivestigatio Worksheets LESSON
Recursive Procedures. How can you model the relationship between consecutive terms of a sequence?
6. Recursive Procedures I Sectio 6.1, you used fuctio otatio to write a explicit formula to determie the value of ay term i a Sometimes it is easier to calculate oe term i a sequece usig the previous terms.
More information1.2. Modeling Growth and Decay. Launch LESSON 1.2. Vocabulary decay growth principal simple interest compound interest. Materials
LESSON LESSON.2 Modelig Growth ad Decay.2 Each sequece you geerated i the previous lesso was either a arithmetic sequece with a recursive rule i the form u = u + d or a geometric sequece with a recursive
More informationCh 9.3 Geometric Sequences and Series Lessons
Ch 9.3 Geometric Sequeces ad Series Lessos SKILLS OBJECTIVES Recogize a geometric sequece. Fid the geeral, th term of a geometric sequece. Evaluate a fiite geometric series. Evaluate a ifiite geometric
More information4.3 Modeling with Arithmetic Sequences
Name Class Date 4.3 Modelig with Arithmetic Sequeces Essetial Questio: How ca you solve real-world problems usig arithmetic sequeces? Resource Locker Explore Iterpretig Models of Arithmetic Sequeces You
More informationGuide to Applying Online
Guide to Applyig Olie Itroductio Respodig to requests for additioal iformatio Reportig: submittig your moitorig or ed of grat Pledges: submittig your Itroductio This guide is to help charities submit their
More information9.1. Sequences and Series. Sequences. What you should learn. Why you should learn it. Definition of Sequence
_9.qxd // : AM Page Chapter 9 Sequeces, Series, ad Probability 9. Sequeces ad Series What you should lear Use sequece otatio to write the terms of sequeces. Use factorial otatio. Use summatio otatio to
More information1. The lines intersect. There is one solution, the point where they intersect. The system is called a consistent system.
Commo Core Math 3 Notes Uit Day Systems I. Systems of Liear Equatios A system of two liear equatios i two variables is two equatios cosidered together. To solve a system is to fid all the ordered pairs
More informationPython Programming: An Introduction to Computer Science
Pytho Programmig: A Itroductio to Computer Sciece Chapter 6 Defiig Fuctios Pytho Programmig, 2/e 1 Objectives To uderstad why programmers divide programs up ito sets of cooperatig fuctios. To be able to
More informationArithmetic Sequences
. Arithmetic Sequeces COMMON CORE Learig Stadards HSF-IF.A. HSF-BF.A.1a HSF-BF.A. HSF-LE.A. Essetial Questio How ca you use a arithmetic sequece to describe a patter? A arithmetic sequece is a ordered
More informationThe VSS CCD photometry spreadsheet
The VSS CCD photometry spreadsheet Itroductio This Excel spreadsheet has bee developed ad tested by the BAA VSS for aalysig results files produced by the multi-image CCD photometry procedure i AIP4Wi v2.
More informationBasic allocator mechanisms The course that gives CMU its Zip! Memory Management II: Dynamic Storage Allocation Mar 6, 2000.
5-23 The course that gives CM its Zip Memory Maagemet II: Dyamic Storage Allocatio Mar 6, 2000 Topics Segregated lists Buddy system Garbage collectio Mark ad Sweep Copyig eferece coutig Basic allocator
More informationName Date Hr. ALGEBRA 1-2 SPRING FINAL MULTIPLE CHOICE REVIEW #2
Name Date Hr. ALGEBRA - SPRING FINAL MULTIPLE CHOICE REVIEW # 5. Which measure of ceter is most appropriate for the followig data set? {7, 7, 75, 77,, 9, 9, 90} Mea Media Stadard Deviatio Rage 5. The umber
More informationName Date Hr. ALGEBRA 1-2 SPRING FINAL MULTIPLE CHOICE REVIEW #1
Name Date Hr. ALGEBRA - SPRING FINAL MULTIPLE CHOICE REVIEW #. The high temperatures for Phoeix i October of 009 are listed below. Which measure of ceter will provide the most accurate estimatio of the
More informationMATHEMATICS IN EVERYDAY LIFE 8
MAHEMAICS IN EVEYDAY LIFE 8 Chapter 0 : Compoud Iterest ANSWE KEYS EXECISE 0.. Pricipal for st year `7600 ate of iterest 5% per aum Iterest for st year ` 7600 5 00 `80 Amout at the ed of st year `7600
More informationIt just came to me that I 8.2 GRAPHS AND CONVERGENCE
44 Chapter 8 Discrete Mathematics: Fuctios o the Set of Natural Numbers (a) Take several odd, positive itegers for a ad write out eough terms of the 3N sequece to reach a repeatig loop (b) Show that ot
More informationLecture 28: Data Link Layer
Automatic Repeat Request (ARQ) 2. Go ack N ARQ Although the Stop ad Wait ARQ is very simple, you ca easily show that it has very the low efficiecy. The low efficiecy comes from the fact that the trasmittig
More informationAlpha Individual Solutions MAΘ National Convention 2013
Alpha Idividual Solutios MAΘ Natioal Covetio 0 Aswers:. D. A. C 4. D 5. C 6. B 7. A 8. C 9. D 0. B. B. A. D 4. C 5. A 6. C 7. B 8. A 9. A 0. C. E. B. D 4. C 5. A 6. D 7. B 8. C 9. D 0. B TB. 570 TB. 5
More informationOne advantage that SONAR has over any other music-sequencing product I ve worked
*gajedra* D:/Thomso_Learig_Projects/Garrigus_163132/z_productio/z_3B2_3D_files/Garrigus_163132_ch17.3d, 14/11/08/16:26:39, 16:26, page: 647 17 CAL 101 Oe advatage that SONAR has over ay other music-sequecig
More informationWeston Anniversary Fund
Westo Olie Applicatio Guide 2018 1 This guide is desiged to help charities applyig to the Westo to use our olie applicatio form. The Westo is ope to applicatios from 5th Jauary 2018 ad closes o 30th Jue
More informationParabolic Path to a Best Best-Fit Line:
Studet Activity : Fidig the Least Squares Regressio Lie By Explorig the Relatioship betwee Slope ad Residuals Objective: How does oe determie a best best-fit lie for a set of data? Eyeballig it may be
More informationA Resource for Free-standing Mathematics Qualifications
Ope.ls The first sheet is show elow. It is set up to show graphs with equatios of the form = m + c At preset the values of m ad c are oth zero. You ca chage these values usig the scroll ars. Leave the
More informationThe number n of subintervals times the length h of subintervals gives length of interval (b-a).
Simulator with MadMath Kit: Riema Sums (Teacher s pages) I your kit: 1. GeoGebra file: Ready-to-use projector sized simulator: RiemaSumMM.ggb 2. RiemaSumMM.pdf (this file) ad RiemaSumMMEd.pdf (educator's
More informationCIS 121 Data Structures and Algorithms with Java Spring Stacks and Queues Monday, February 12 / Tuesday, February 13
CIS Data Structures ad Algorithms with Java Sprig 08 Stacks ad Queues Moday, February / Tuesday, February Learig Goals Durig this lab, you will: Review stacks ad queues. Lear amortized ruig time aalysis
More information27 Refraction, Dispersion, Internal Reflection
Chapter 7 Refractio, Dispersio, Iteral Reflectio 7 Refractio, Dispersio, Iteral Reflectio Whe we talked about thi film iterferece, we said that whe light ecouters a smooth iterface betwee two trasparet
More informationEVALUATION OF TRIGONOMETRIC FUNCTIONS
EVALUATION OF TRIGONOMETRIC FUNCTIONS Whe first exposed to trigoometric fuctios i high school studets are expected to memorize the values of the trigoometric fuctios of sie cosie taget for the special
More informationHow do we evaluate algorithms?
F2 Readig referece: chapter 2 + slides Algorithm complexity Big O ad big Ω To calculate ruig time Aalysis of recursive Algorithms Next time: Litterature: slides mostly The first Algorithm desig methods:
More informationExercise 6 (Week 42) For the foreign students only.
These are the last exercises of the course. Please, remember that to pass exercises, the sum of the poits gathered by solvig the questios ad attedig the exercise groups must be at least 4% ( poits) of
More informationNormal Distributions
Normal Distributios Stacey Hacock Look at these three differet data sets Each histogram is overlaid with a curve : A B C A) Weights (g) of ewly bor lab rat pups B) Mea aual temperatures ( F ) i A Arbor,
More informationComputer Science Foundation Exam. August 12, Computer Science. Section 1A. No Calculators! KEY. Solutions and Grading Criteria.
Computer Sciece Foudatio Exam August, 005 Computer Sciece Sectio A No Calculators! Name: SSN: KEY Solutios ad Gradig Criteria Score: 50 I this sectio of the exam, there are four (4) problems. You must
More informationLecture 7 7 Refraction and Snell s Law Reading Assignment: Read Kipnis Chapter 4 Refraction of Light, Section III, IV
Lecture 7 7 Refractio ad Sell s Law Readig Assigmet: Read Kipis Chapter 4 Refractio of Light, Sectio III, IV 7. History I Eglish-speakig coutries, the law of refractio is kow as Sell s Law, after the Dutch
More informationMath Section 2.2 Polynomial Functions
Math 1330 - Sectio. Polyomial Fuctios Our objectives i workig with polyomial fuctios will be, first, to gather iformatio about the graph of the fuctio ad, secod, to use that iformatio to geerate a reasoably
More informationCOMPUTER ORGANIZATION AND DESIGN The Hardware/Software Interface. Chapter 4. The Processor. Part A Datapath Design
COMPUTER ORGANIZATION AND DESIGN The Hardware/Software Iterface 5 th Editio Chapter The Processor Part A path Desig Itroductio CPU performace factors Istructio cout Determied by ISA ad compiler. CPI ad
More informationSD vs. SD + One of the most important uses of sample statistics is to estimate the corresponding population parameters.
SD vs. SD + Oe of the most importat uses of sample statistics is to estimate the correspodig populatio parameters. The mea of a represetative sample is a good estimate of the mea of the populatio that
More informationCMPT 125 Assignment 2 Solutions
CMPT 25 Assigmet 2 Solutios Questio (20 marks total) a) Let s cosider a iteger array of size 0. (0 marks, each part is 2 marks) it a[0]; I. How would you assig a poiter, called pa, to store the address
More informationCIS 121 Data Structures and Algorithms with Java Spring Stacks, Queues, and Heaps Monday, February 18 / Tuesday, February 19
CIS Data Structures ad Algorithms with Java Sprig 09 Stacks, Queues, ad Heaps Moday, February 8 / Tuesday, February 9 Stacks ad Queues Recall the stack ad queue ADTs (abstract data types from lecture.
More informationUsing VTR Emulation on Avid Systems
Usig VTR Emulatio o Avid Systems VTR emulatio allows you to cotrol a sequece loaded i the Record moitor from a edit cotroller for playback i the edit room alog with other sources. I this sceario the edit
More information. Written in factored form it is easy to see that the roots are 2, 2, i,
CMPS A Itroductio to Programmig Programmig Assigmet 4 I this assigmet you will write a java program that determies the real roots of a polyomial that lie withi a specified rage. Recall that the roots (or
More informationLecture 5. Counting Sort / Radix Sort
Lecture 5. Coutig Sort / Radix Sort T. H. Corme, C. E. Leiserso ad R. L. Rivest Itroductio to Algorithms, 3rd Editio, MIT Press, 2009 Sugkyukwa Uiversity Hyuseug Choo choo@skku.edu Copyright 2000-2018
More informationDescriptive Statistics Summary Lists
Chapter 209 Descriptive Statistics Summary Lists Itroductio This procedure is used to summarize cotiuous data. Large volumes of such data may be easily summarized i statistical lists of meas, couts, stadard
More information1.2 Binomial Coefficients and Subsets
1.2. BINOMIAL COEFFICIENTS AND SUBSETS 13 1.2 Biomial Coefficiets ad Subsets 1.2-1 The loop below is part of a program to determie the umber of triagles formed by poits i the plae. for i =1 to for j =
More informationCSC165H1 Worksheet: Tutorial 8 Algorithm analysis (SOLUTIONS)
CSC165H1, Witer 018 Learig Objectives By the ed of this worksheet, you will: Aalyse the ruig time of fuctios cotaiig ested loops. 1. Nested loop variatios. Each of the followig fuctios takes as iput a
More informationCSCI 5090/7090- Machine Learning. Spring Mehdi Allahyari Georgia Southern University
CSCI 5090/7090- Machie Learig Sprig 018 Mehdi Allahyari Georgia Souther Uiversity Clusterig (slides borrowed from Tom Mitchell, Maria Floria Balca, Ali Borji, Ke Che) 1 Clusterig, Iformal Goals Goal: Automatically
More informationOCR Statistics 1. Working with data. Section 3: Measures of spread
Notes ad Eamples OCR Statistics 1 Workig with data Sectio 3: Measures of spread Just as there are several differet measures of cetral tedec (averages), there are a variet of statistical measures of spread.
More informationCOMPUTER ORGANIZATION AND DESIGN The Hardware/Software Interface. Chapter 4. The Processor. Single-Cycle Disadvantages & Advantages
COMPUTER ORGANIZATION AND DESIGN The Hardware/Software Iterface 5 th Editio Chapter 4 The Processor Pipeliig Sigle-Cycle Disadvatages & Advatages Clk Uses the clock cycle iefficietly the clock cycle must
More informationChapter 2. C++ Basics. Copyright 2015 Pearson Education, Ltd.. All rights reserved.
Chapter 2 C++ Basics Copyright 2015 Pearso Educatio, Ltd.. All rights reserved. Overview 2.1 Variables ad Assigmets 2.2 Iput ad Output 2.3 Data Types ad Expressios 2.4 Simple Flow of Cotrol 2.5 Program
More informationOur Learning Problem, Again
Noparametric Desity Estimatio Matthew Stoe CS 520, Sprig 2000 Lecture 6 Our Learig Problem, Agai Use traiig data to estimate ukow probabilities ad probability desity fuctios So far, we have depeded o describig
More informationA New Morphological 3D Shape Decomposition: Grayscale Interframe Interpolation Method
A ew Morphological 3D Shape Decompositio: Grayscale Iterframe Iterpolatio Method D.. Vizireau Politehica Uiversity Bucharest, Romaia ae@comm.pub.ro R. M. Udrea Politehica Uiversity Bucharest, Romaia mihea@comm.pub.ro
More information12-5A. Equivalent Fractions and Decimals. 1 Daily Common Core Review. Common Core. Lesson. Lesson Overview. Math Background
Lesso -A Equivalet Fractios ad Decimals Commo Core Lesso Overview Domai Number ad Operatios Fractios Cluster Uderstad decimal otatio for fractios, ad compare decimal fractios. Stadards.NF. Use decimal
More informationThreads and Concurrency in Java: Part 1
Cocurrecy Threads ad Cocurrecy i Java: Part 1 What every computer egieer eeds to kow about cocurrecy: Cocurrecy is to utraied programmers as matches are to small childre. It is all too easy to get bured.
More informationThreads and Concurrency in Java: Part 1
Threads ad Cocurrecy i Java: Part 1 1 Cocurrecy What every computer egieer eeds to kow about cocurrecy: Cocurrecy is to utraied programmers as matches are to small childre. It is all too easy to get bured.
More informationAppendix D. Controller Implementation
COMPUTER ORGANIZATION AND DESIGN The Hardware/Software Iterface 5 th Editio Appedix D Cotroller Implemetatio Cotroller Implemetatios Combiatioal logic (sigle-cycle); Fiite state machie (multi-cycle, pipelied);
More informationPython Programming: An Introduction to Computer Science
Pytho Programmig: A Itroductio to Computer Sciece Chapter 1 Computers ad Programs 1 Objectives To uderstad the respective roles of hardware ad software i a computig system. To lear what computer scietists
More informationIntermediate Statistics
Gait Learig Guides Itermediate Statistics Data processig & display, Cetral tedecy Author: Raghu M.D. STATISTICS DATA PROCESSING AND DISPLAY Statistics is the study of data or umerical facts of differet
More informationComputer Technology MSIS 22:198:605 Homework 1
Compute Techology MSIS 22:198:605 Homewok 1 Istucto: Faid Alizadeh Due Date: Moday Septembe 30, 2002 by midight Submissio: by e-mail See below fo detailed istuctios) last updated o Septembe 27, 2002 Rules:
More informationCS200: Hash Tables. Prichard Ch CS200 - Hash Tables 1
CS200: Hash Tables Prichard Ch. 13.2 CS200 - Hash Tables 1 Table Implemetatios: average cases Search Add Remove Sorted array-based Usorted array-based Balaced Search Trees O(log ) O() O() O() O(1) O()
More informationExamples and Applications of Binary Search
Toy Gog ITEE Uiersity of Queeslad I the secod lecture last week we studied the biary search algorithm that soles the problem of determiig if a particular alue appears i a sorted list of iteger or ot. We
More informationElementary Educational Computer
Chapter 5 Elemetary Educatioal Computer. Geeral structure of the Elemetary Educatioal Computer (EEC) The EEC coforms to the 5 uits structure defied by vo Neuma's model (.) All uits are preseted i a simplified
More informationNTH, GEOMETRIC, AND TELESCOPING TEST
NTH, GEOMETRIC, AND TELESCOPING TEST Sectio 9. Calculus BC AP/Dual, Revised 08 viet.dag@humbleisd.et /4/08 0:0 PM 9.: th, Geometric, ad Telescopig Test SUMMARY OF TESTS FOR SERIES Lookig at the first few
More informationSolution printed. Do not start the test until instructed to do so! CS 2604 Data Structures Midterm Spring, Instructions:
CS 604 Data Structures Midterm Sprig, 00 VIRG INIA POLYTECHNIC INSTITUTE AND STATE U T PROSI M UNI VERSI TY Istructios: Prit your ame i the space provided below. This examiatio is closed book ad closed
More informationThe isoperimetric problem on the hypercube
The isoperimetric problem o the hypercube Prepared by: Steve Butler November 2, 2005 1 The isoperimetric problem We will cosider the -dimesioal hypercube Q Recall that the hypercube Q is a graph whose
More informationSection 7.2: Direction Fields and Euler s Methods
Sectio 7.: Directio ields ad Euler s Methods Practice HW from Stewart Tetbook ot to had i p. 5 # -3 9-3 odd or a give differetial equatio we wat to look at was to fid its solutio. I this chapter we will
More informationConsider the following population data for the state of California. Year Population
Assigmets for Bradie Fall 2016 for Chapter 5 Assigmet sheet for Sectios 5.1, 5.3, 5.5, 5.6, 5.7, 5.8 Read Pages 341-349 Exercises for Sectio 5.1 Lagrage Iterpolatio #1, #4, #7, #13, #14 For #1 use MATLAB
More informationA Taste of Maya. Character Setup
This tutorial goes through the steps to add aimatio cotrols to a previously modeled character. The character i the scee below is wearig clothes made with Cloth ad the sceery has bee created with Pait Effects.
More informationΣ P(i) ( depth T (K i ) + 1),
EECS 3101 York Uiversity Istructor: Ady Mirzaia DYNAMIC PROGRAMMING: OPIMAL SAIC BINARY SEARCH REES his lecture ote describes a applicatio of the dyamic programmig paradigm o computig the optimal static
More informationGuide for Online Renewal
guide for olie reewal Guide for Olie Reewal This guide is desiged to assist you i the completio of your aual olie reewal of registratio. 250 Bloor St. East, Suite 1000, Toroto ON M4W 1E6 Phoe: 416-972-9882
More informationEE 459/500 HDL Based Digital Design with Programmable Logic. Lecture 13 Control and Sequencing: Hardwired and Microprogrammed Control
EE 459/500 HDL Based Digital Desig with Programmable Logic Lecture 13 Cotrol ad Sequecig: Hardwired ad Microprogrammed Cotrol Refereces: Chapter s 4,5 from textbook Chapter 7 of M.M. Mao ad C.R. Kime,
More informationn Maurice Wilkes, 1949 n Organize software to minimize errors. n Eliminate most of the errors we made anyway.
Bjare Stroustrup www.stroustrup.com/programmig Chapter 5 Errors Abstract Whe we program, we have to deal with errors. Our most basic aim is correctess, but we must deal with icomplete problem specificatios,
More informationWebAssign Lesson 6-1b Geometric Series (Homework)
WebAssig Lesso 6-b Geometric Series (Homework) Curret Score : / 49 Due : Wedesday, July 30 204 :0 AM MDT Jaimos Skriletz Math 75, sectio 3, Summer 2 204 Istructor: Jaimos Skriletz. /2 poitsrogac alcet2
More informationTRANSACTION MANAGEMENT [CH 16]
Sprig 2017 TRANSACTION MANAGEMENT [CH 16] 4/25/17 CS 564: Database Maagemet Systems; (c) Jigesh M. Patel, 2013 1 Trasactio Maagemet Read (A); Check (A > $25); Pay ($25); A = A 25; Write (A); Yes You Read
More informationRandom Graphs and Complex Networks T
Radom Graphs ad Complex Networks T-79.7003 Charalampos E. Tsourakakis Aalto Uiversity Lecture 3 7 September 013 Aoucemet Homework 1 is out, due i two weeks from ow. Exercises: Probabilistic iequalities
More informationSEQUENCES AND SERIES
SEQUENCES AND SERIES U N I The umber of gifts set i the popular Christmas Carol days of Christmas form a sequece. A part of the sog goes this way O the th day of Christmas my true love gave to me drummers
More informationMR-2010I %MktBSize Macro 989. %MktBSize Macro
MR-2010I %MktBSize Macro 989 %MktBSize Macro The %MktBSize autocall macro suggests sizes for balaced icomplete block desigs (BIBDs). The sizes that it reports are sizes that meet ecessary but ot sufficiet
More informationIntroduction to GAMIT/GLOBK Applications of GLOBK. Lecture 11 OVERVIEW
Itroductio to GAMIT/GLOBK Applicatios of GLOBK Lecture 11 GAMIT/GLOBK Lec11 1 OVERVIEW o I this lecture we cover: o Basic types of aalyses with globk l Velocity ad repeatability rus o GLOBK acillary programs
More informationMathematical Stat I: solutions of homework 1
Mathematical Stat I: solutios of homework Name: Studet Id N:. Suppose we tur over cards simultaeously from two well shuffled decks of ordiary playig cards. We say we obtai a exact match o a particular
More informationLU Decomposition Method
SOLUTION OF SIMULTANEOUS LINEAR EQUATIONS LU Decompositio Method Jamie Traha, Autar Kaw, Kevi Marti Uiversity of South Florida Uited States of America kaw@eg.usf.edu http://umericalmethods.eg.usf.edu Itroductio
More informationCOSC 1P03. Ch 7 Recursion. Introduction to Data Structures 8.1
COSC 1P03 Ch 7 Recursio Itroductio to Data Structures 8.1 COSC 1P03 Recursio Recursio I Mathematics factorial Fiboacci umbers defie ifiite set with fiite defiitio I Computer Sciece sytax rules fiite defiitio,
More informationHomework 1 Solutions MA 522 Fall 2017
Homework 1 Solutios MA 5 Fall 017 1. Cosider the searchig problem: Iput A sequece of umbers A = [a 1,..., a ] ad a value v. Output A idex i such that v = A[i] or the special value NIL if v does ot appear
More informationNumerical Methods Lecture 6 - Curve Fitting Techniques
Numerical Methods Lecture 6 - Curve Fittig Techiques Topics motivatio iterpolatio liear regressio higher order polyomial form expoetial form Curve fittig - motivatio For root fidig, we used a give fuctio
More informationReview: The ACID properties
Recovery Review: The ACID properties A tomicity: All actios i the Xactio happe, or oe happe. C osistecy: If each Xactio is cosistet, ad the DB starts cosistet, it eds up cosistet. I solatio: Executio of
More informationn Some thoughts on software development n The idea of a calculator n Using a grammar n Expression evaluation n Program organization n Analysis
Overview Chapter 6 Writig a Program Bjare Stroustrup Some thoughts o software developmet The idea of a calculator Usig a grammar Expressio evaluatio Program orgaizatio www.stroustrup.com/programmig 3 Buildig
More informationThe Nature of Light. Chapter 22. Geometric Optics Using a Ray Approximation. Ray Approximation
The Nature of Light Chapter Reflectio ad Refractio of Light Sectios: 5, 8 Problems: 6, 7, 4, 30, 34, 38 Particles of light are called photos Each photo has a particular eergy E = h ƒ h is Plack s costat
More informationCS 111: Program Design I Lecture 20: Web crawling, HTML, Copyright
CS 111: Program Desig I Lecture 20: Web crawlig, HTML, Copyright Robert H. Sloa & Richard Warer Uiversity of Illiois at Chicago November 8, 2016 WEB CRAWLER AGAIN Two bits of useful Pytho sytax Do't eed
More informationEnd Semester Examination CSE, III Yr. (I Sem), 30002: Computer Organization
Ed Semester Examiatio 2013-14 CSE, III Yr. (I Sem), 30002: Computer Orgaizatio Istructios: GROUP -A 1. Write the questio paper group (A, B, C, D), o frot page top of aswer book, as per what is metioed
More informationIn this chapter, you learn the concepts and terminology of databases and
A Itroductio to Database Developmet I this chapter, you lear the cocepts ad termiology of databases ad how to desig the tables that your forms ad reports will use. Fially, you build the actual tables used
More informationBezier curves. Figure 2 shows cubic Bezier curves for various control points. In a Bezier curve, only
Edited: Yeh-Liag Hsu (998--; recommeded: Yeh-Liag Hsu (--9; last updated: Yeh-Liag Hsu (9--7. Note: This is the course material for ME55 Geometric modelig ad computer graphics, Yua Ze Uiversity. art of
More informationAvid Interplay Bundle
Avid Iterplay Budle Versio 2.5 Cofigurator ReadMe Overview This documet provides a overview of Iterplay Budle v2.5 ad describes how to ru the Iterplay Budle cofiguratio tool. Iterplay Budle v2.5 refers
More informationChapter 1. Introduction to Computers and C++ Programming. Copyright 2015 Pearson Education, Ltd.. All rights reserved.
Chapter 1 Itroductio to Computers ad C++ Programmig Copyright 2015 Pearso Educatio, Ltd.. All rights reserved. Overview 1.1 Computer Systems 1.2 Programmig ad Problem Solvig 1.3 Itroductio to C++ 1.4 Testig
More informationChapter 8. Strings and Vectors. Copyright 2014 Pearson Addison-Wesley. All rights reserved.
Chapter 8 Strigs ad Vectors Overview 8.1 A Array Type for Strigs 8.2 The Stadard strig Class 8.3 Vectors Slide 8-3 8.1 A Array Type for Strigs A Array Type for Strigs C-strigs ca be used to represet strigs
More informationCopyright 2016 Ramez Elmasri and Shamkant B. Navathe
Copyright 2016 Ramez Elmasri ad Shamkat B. Navathe CHAPTER 26 Ehaced Data Models: Itroductio to Active, Temporal, Spatial, Multimedia, ad Deductive Databases Copyright 2016 Ramez Elmasri ad Shamkat B.
More informationCSE 111 Bio: Program Design I Lecture 17: software development, list methods
CSE 111 Bio: Program Desig I Lecture 17: software developmet, list methods Robert H. Sloa(CS) & Rachel Poretsky(Bio) Uiversity of Illiois, Chicago October 19, 2017 NESTED LOOPS: REVIEW Geerate times table
More informationGreedy Algorithms. Interval Scheduling. Greedy Algorithms. Interval scheduling. Greedy Algorithms. Interval Scheduling
Greedy Algorithms Greedy Algorithms Witer Paul Beame Hard to defie exactly but ca give geeral properties Solutio is built i small steps Decisios o how to build the solutio are made to maximize some criterio
More informationMath 3201 Notes Chapter 4: Rational Expressions & Equations
Learig Goals: See p. tet.. Equivalet Ratioal Epressios ( classes) Read Goal p. 6 tet. Math 0 Notes Chapter : Ratioal Epressios & Equatios. Defie ad give a eample of a ratioal epressio. p. 6. Defie o-permissible
More informationPolynomial Functions and Models. Learning Objectives. Polynomials. P (x) = a n x n + a n 1 x n a 1 x + a 0, a n 0
Polyomial Fuctios ad Models 1 Learig Objectives 1. Idetify polyomial fuctios ad their degree 2. Graph polyomial fuctios usig trasformatios 3. Idetify the real zeros of a polyomial fuctio ad their multiplicity
More informationThe Magma Database file formats
The Magma Database file formats Adrew Gaylard, Bret Pikey, ad Mart-Mari Breedt Johaesburg, South Africa 15th May 2006 1 Summary Magma is a ope-source object database created by Chris Muller, of Kasas City,
More informationMinimum Spanning Trees
Presetatio for use with the textbook, lgorithm esig ad pplicatios, by M. T. Goodrich ad R. Tamassia, Wiley, 0 Miimum Spaig Trees 0 Goodrich ad Tamassia Miimum Spaig Trees pplicatio: oectig a Network Suppose
More informationAPPLICATION NOTE PACE1750AE BUILT-IN FUNCTIONS
APPLICATION NOTE PACE175AE BUILT-IN UNCTIONS About This Note This applicatio brief is iteded to explai ad demostrate the use of the special fuctios that are built ito the PACE175AE processor. These powerful
More informationLecture 9: Exam I Review
CS 111 (Law): Program Desig I Lecture 9: Exam I Review Robert H. Sloa & Richard Warer Uiversity of Illiois, Chicago September 22, 2016 This Class Discuss midterm topics Go over practice examples Aswer
More information6.854J / J Advanced Algorithms Fall 2008
MIT OpeCourseWare http://ocw.mit.edu 6.854J / 18.415J Advaced Algorithms Fall 2008 For iformatio about citig these materials or our Terms of Use, visit: http://ocw.mit.edu/terms. 18.415/6.854 Advaced Algorithms
More informationFOMGT 301. Spring 2004
MMQ Problems d Set of Solutios FOMGT 301 Sprig 004 004 Adrew Hall. MMQ Solutios Two. Page 1 MMQ 11: Remember Newma? He spis the wheel, ad receives $10,000 immediately. Alteratively, he ca leave it with
More informationAP B mirrors and lenses websheet 23.2
Name: Class: _ Date: _ ID: A AP B mirrors ad leses websheet 232 Multiple Choice Idetify the choice that best completes the statemet or aswers the questio 1 The of light ca chage whe light is refracted
More information