A BEGINNERS GUIDE TO GRANT WRITING AND REVIEW
|
|
- Osborne Smith
- 6 years ago
- Views:
Transcription
1 A BEGINNERS GUIDE TO GRANT WRITING AND REVIEW Slides cotributed by: Nacy Desmod (NIMH) Margaret Jacobs (NINDS) Richard Ikeda (NIGMS) Luis Sataa (Uiv. Washigto)
2 Ehacig Your Chaces Talk to NIH: Look through the NIH web site to idetify appropriate Istitutes. Call the Program Directors at the Istitutes to discuss your idea. Make sure your applicatio is assiged to the correct Study Sectio. Discuss potetial Study Sectios with both Program Directors ad Scietific Review Admiistrators. Craft your applicatio carefully.
3 How do I kow who to call? Visit NIH istitute web pages to see what differet istitutes support ad what their iterests are. Go to CRISP ad search o your topic at Ask colleagues who do similar work who supports it
4 For Fellowships or New PIs Idetify a metor(s) ß ß ß ß with a track record with a commitmet to you & your career goals eed ot be your research advisor more tha oe is OK!
5 It Pays to Pla ahead ß ß ß ß ß Grat writig takes time probably more time tha you expect Bouce ideas off metors & colleagues Talk to program staff Decide o your target deadlie Get orgaized
6 Kow Your Audiece Reviewers are scietists from academe ad idustry. Reviewers do review for study sectios i additio to their regular job
7 SELECTION OF PEER REVIEWERS Research Capability No-Research Active ad Productive Researchers No-Doctoral Scietific Commuity
8 Do t be creative make the reviewers job easier ß Use the correct forms (PHS398 or PHS416) ß Follow the istructios ß Follow the recommeded format ß Fill the forms out completely ß Do t guess ask questios
9 Demostrate mastery of your research topic ß Explicitly state your ratioale. ß Cite the appropriate literature thoroughly. ß Iclude prelimiary data. ß Idetify problematic aspects of hypotheses or techiques; idicate back-up strategies. ß Provide expected/alterative outcomes ad iterpretatios. ß Do t forget your traiig/career developmet pla!
10 Grats Have Several Parts: All of Them are Importat Face Page, Budget, ad BioSketches Abstract Resources Research Pla Specific Aims Backgroud & Sigificace Prelimiary Results Research Desig Huma Subjects, Vertebrate Aimals
11 Be creative but pragmatic ß Formulate your Specific Aims ß Seek feedback ß Focused? ß Feasible? ß Realistic (ot overly ambitious)? ß Good traiig vehicle for you? ß Did I say Focus? Be certai every aim ad experimet is clearly related to the overall goal of your proposal.
12 For A Effective Specific Aims Sectio: Backgroud (itroductory paragraph) Overall Goal (Big Picture) Put your area of research i perspective Summary of prelimiary results
13 Backgroud ad Sigificace Do ot write it as a review article Highlight cotroversies ad how they will be solved by the proposed experimets Lik cotroversies ad outstadig issues to relevat sectios i your grat
14 Clarity is a Virtue, Especially i the Research Desig Restate aim Ratioale Approach/expected outcomes Potetial Pitfalls
15 Cosider the review criteria ß The cadidate: your backgroud ad potetial to develop ito a idepedet researcher ß Research pla: its scietific merit, sigificace, feasibility & relatioship to your career plas ß Traiig/career developmet pla: its compoets & how well it fits the research pla ß The sposor: his/her track record as both a researcher ad metor ß Istitutioal eviromet & commitmet to the traiig/career developmet of the cadidate
16 Keep The Basic Review Criteria i Mid: Sigificace Approach Eviromet Iovatio Ivestigator Huma Subjects/Vertebrate Aimals
17 Craftig The Applicatio Write clearly ad do t assume that the reviewers kow all that you kow. Explai the importace ad impact of the project. Orgaize the specific aims aroud testable hypotheses. Preset a coheret ad detailed research pla based that is based o the prelimiary results that are available. Explai how expected results will be iterpreted. Metio problems ad pitfalls that may be ecoutered. Provide alterative plas whe appropriate.
18 Help the reviewers do their jobs ß Use a reviewer-friedly format. ß Preset the proposal i bite-sized bits. Use sectio headigs, bold type, etc. to ehace readability. ß Be cocise! ß Walk the reader through the experimets. Do t just preset a list of methods. ß Iclude a explicit timelie.
19 A strog research proposal ß Has well-defied Specific Aims. ß Proposes ovel, iterestig & focused experimets. ß Is likely to advace kowledge. ß Provides supportig Prelimiary Data. ß Has a appropriately detailed Experimetal Desig. ß Documets appropriate scietific expertise. ß Has a reasoable & justified budget. ß Traiig applicatios eed other stregths too.
20 Improvig The Applicatio Typos ad poor grammar leave a egative impressio. Do t be overly ambitious. (I a summary statemet, the adjective ambitious is usually ot a positive commet.) Write a strog applicatio ot a log applicatio. Start early, Fiish early, Put the applicatio away for a week-the reread it.
21 Get a Review from Colleagues At least 4-6 weeks before your grat is due At least oe perso outside the field Is it clear? Do aims seem coected? Are there typos, missig citatios, etc?
22 Do t assume do t be sloppy ß Do t assume the reviewers will kow what you mea be clear. ß Watch grammar. Avoid jargo. ß Make sure you ve completed all required sectios i the idicated order. ß Get i-house critiques well i advace of the deadlie. ß Spell check ad ß Read your applicatio carefully before submittig.
23 About Usig Color Grats come to the NIH i hard copy Multiple copies of your applicatio are made for reviewers They oly see black ad white
24 Commo problems to avoid ß Lack of ew or origial ideas ß Absece of a acceptable scietific ratioale ß Lack of kowledge of relevat, published work ß Overly ambitious research pla ß Superficial or ufocused research pla ß Questioable reasoig i experimetal approach ß Lack of experiece with a essetial methodology ß Isufficiet experimetal detail
25 After Your Grat is Submitted
26 Referral, Review, ad Fudig Ceter for Scietific Review Istitutes ad Ceters Referral NIGMS NCI NIAID Review NHLBI
27 Role of Study Sectio Scietific Review Groups (SRGs) are to evaluate the scietific or techical merit of a applicatio SRGs do NOT make fudig recommedatios
28 Study Sectios Reviews coducted by Ceter for Scietific Review (CSR) ad idividual Istitutes/Ceters (IC s) Each stadig study sectio has members, primarily from academia Study sectios maaged by Scietific Review Admiistrator (SRA) As may as applicatios are reviewed at each study sectio meetig
29 Whe You Have Your Assigmet You may call the SRA to fid out about sedig additioal iformatio Rosters are posted approximately 30 days before the study sectio meets Look at the roster whe it is posted. Expertise Coflicts of Iterest
30 Before The Review The SRA is your poit of cotact prior to the review meetig. Your program admiistrator is your poit of cotact after the review meetig.
31 No-Nos Do t Do These Do ot cotact a study sectio member prior to the review. Do ot cotact a study sectio member after the review.
32 What Happes at the Review? The SRA assigs each grat to three reviewers well before the meetig. Primary, secodary, ad discussat Before the meetig, reviewers submit their commets to IAR. SRA determies (with Chair) what applicatios appear to fall i the lower half. These applicatios may be streamlied at the begiig of the meetig.
33 Streamliig Occurs at the begiig of the review meetig Applicatios are ot discussed Applicats receive critiques of reviewers that were writte before comig to the meetig
34 At The Meetig After streamliig, discussio of applicatios i upper half. Each assiged reviewer makes commets Discussio by group i geeral about poits of agreemet/disagreemet Everyoe votes a score based o what they heard i the discussio ad the recommedatios by the reviewers
35 The Review Criteria Sigificace: Does the study address a importat problem? How will scietific kowledge be advaced? Approach: Are desig ad methods welldeveloped ad appropriate? Are problem areas addressed? Iovatio: Are there ovel cocepts or approaches? Are the aims origial ad iovative? Ivestigator: Is the ivestigator appropriately traied? Eviromet: Does the scietific eviromet
36 After the Review Meetig Scores are etered ito database ad released. SRAs prepare summary statemets with revised critiques
37 Summary Statemet Overall resume ad summary of discussio Essetially uedited critiques Priority score ad percetile rakig Budget recommedatios Admiistrative otes Aimal/huma subjects cocers
38 Commo Problems i Applicatios Lack of ew or origial ideas Absece of a acceptable scietific ratioale Lack of experiece i the essetial methodology Questioable reasoig i experimetal approach Ucritical approach Diffuse, superficial, or ufocused research pla Lack of sufficiet experimetal detail Lack of kowledge of published relevat work Urealistically large amout of work Ucertaity cocerig future directios
39 You Get Your Summary Statemet: Now What? Scored applicatios Wait for your summary statemet Do ot call the SRA Call your program admiistrator Uscored applicatios
40 What if my applicatio is ot scored? Wait for the commets from the reviewers. Call your program admiistrator Rewrite Rewrite ad submit to differet study sectio
41 If you eed to revise ß Discuss the summary statemet; get help i revisig. ß Be polite. ß Be resposive to all of the reviewers criticisms. ß Put all ego aside. If i doubt, do it their way.
42 How to Respod to Criticisms Some criticisms are fairly easy to address: The prelimiary data i Figure 1 could be iterpreted as chromatid exchage, but the PI did ot discuss this possibility. We have ew prelimiary data (show i sectio) OR This is true, ad I appreciate the reviewer s takig the time to poit it out. I have icluded this possibility my discussio of our prelimiary data
43 Others are more difficult The research pla is overambitious. Remove a large sectio(s) of the grat? Reach a compromise? Argue agaist removig ay experimet?
44 Last, but hardly least ß Celebrate your efforts. ß Do t forget to call us. ß Have fu doig sciece.
Guide 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 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 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 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 informationEFFECT OF QUERY FORMATION ON WEB SEARCH ENGINE RESULTS
Iteratioal Joural o Natural Laguage Computig (IJNLC) Vol. 2, No., February 203 EFFECT OF QUERY FORMATION ON WEB SEARCH ENGINE RESULTS Raj Kishor Bisht ad Ila Pat Bisht 2 Departmet of Computer Sciece &
More informationOn Infinite Groups that are Isomorphic to its Proper Infinite Subgroup. Jaymar Talledo Balihon. Abstract
O Ifiite Groups that are Isomorphic to its Proper Ifiite Subgroup Jaymar Talledo Baliho Abstract Two groups are isomorphic if there exists a isomorphism betwee them Lagrage Theorem states that the order
More information2016 LEARNING SYSTEM FOR CSCP CERTIFICATION EXAM PREPARATION. learncscp.com
2016 LEARNING SYSTEM FOR CSCP CERTIFICATION EXAM PREPARATION APICS CSCP Learig System users cosistetly surpass the average CSCP exam pass rate. learcscp.com 2016_APICS_A4_Brochure_parter.idd 1 WHY SEEK
More informationMindmapping: A General Purpose (Test) Planning Tool
W8 Test Strategy, Plaig, Metrics Wedesday, May 2d, 2018 1:45 PM Midmappig: A Geeral Purpose (Test) Plaig Tool Preseted by: Bob Gale Zeergy Techologies Brought to you by: 350 Corporate Way, Suite 400, Orage
More informationPruning and Summarizing the Discovered Time Series Association Rules from Mechanical Sensor Data Qing YANG1,a,*, Shao-Yu WANG1,b, Ting-Ting ZHANG2,c
Advaces i Egieerig Research (AER), volume 131 3rd Aual Iteratioal Coferece o Electroics, Electrical Egieerig ad Iformatio Sciece (EEEIS 2017) Pruig ad Summarizig the Discovered Time Series Associatio Rules
More informationOnes Assignment Method for Solving Traveling Salesman Problem
Joural of mathematics ad computer sciece 0 (0), 58-65 Oes Assigmet Method for Solvig Travelig Salesma Problem Hadi Basirzadeh Departmet of Mathematics, Shahid Chamra Uiversity, Ahvaz, Ira Article history:
More informationEvaluation scheme for Tracking in AMI
A M I C o m m u i c a t i o A U G M E N T E D M U L T I - P A R T Y I N T E R A C T I O N http://www.amiproject.org/ Evaluatio scheme for Trackig i AMI S. Schreiber a D. Gatica-Perez b AMI WP4 Trackig:
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 information1 Enterprise Modeler
1 Eterprise Modeler Itroductio I BaaERP, a Busiess Cotrol Model ad a Eterprise Structure Model for multi-site cofiguratios are itroduced. Eterprise Structure Model Busiess Cotrol Models Busiess Fuctio
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 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 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 informationCustomer Portal Quick Reference User Guide
Customer Portal Quick Referece User Guide Overview This user guide is iteded for FM Approvals customers usig the Approval Iformatio Maagemet (AIM) customer portal to track their active projects. AIM is
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 informationSystem and Software Architecture Description (SSAD)
System ad Software Architecture Descriptio (SSAD) Diabetes Health Platform Team #6 Jasmie Berry (Cliet) Veerav Naidu (Project Maager) Mukai Nog (Architect) Steve South (IV&V) Vijaya Prabhakara (Quality
More informationEmpirical Validate C&K Suite for Predict Fault-Proneness of Object-Oriented Classes Developed Using Fuzzy Logic.
Empirical Validate C&K Suite for Predict Fault-Proeess of Object-Orieted Classes Developed Usig Fuzzy Logic. Mohammad Amro 1, Moataz Ahmed 1, Kaaa Faisal 2 1 Iformatio ad Computer Sciece Departmet, Kig
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 informationGE FUNDAMENTALS OF COMPUTING AND PROGRAMMING UNIT III
GE2112 - FUNDAMENTALS OF COMPUTING AND PROGRAMMING UNIT III PROBLEM SOLVING AND OFFICE APPLICATION SOFTWARE Plaig the Computer Program Purpose Algorithm Flow Charts Pseudocode -Applicatio Software Packages-
More informationGoals of this Lecture Activity Diagram Example
Goals of this Lecture Activity Diagram Example Object-Orieted Aalysis ad Desig - Fall 998 Preset a example activity diagram Ð Relate to requiremets, use cases, ad class diagrams Also, respod to a questio
More informationCSC 220: Computer Organization Unit 11 Basic Computer Organization and Design
College of Computer ad Iformatio Scieces Departmet of Computer Sciece CSC 220: Computer Orgaizatio Uit 11 Basic Computer Orgaizatio ad Desig 1 For the rest of the semester, we ll focus o computer architecture:
More informationAdaptive Resource Allocation for Electric Environmental Pollution through the Control Network
Available olie at www.sciecedirect.com Eergy Procedia 6 (202) 60 64 202 Iteratioal Coferece o Future Eergy, Eviromet, ad Materials Adaptive Resource Allocatio for Electric Evirometal Pollutio through the
More informationGlobal Support Guide. Verizon WIreless. For the BlackBerry 8830 World Edition Smartphone and the Motorola Z6c
Verizo WIreless Global Support Guide For the BlackBerry 8830 World Editio Smartphoe ad the Motorola Z6c For complete iformatio o global services, please refer to verizowireless.com/vzglobal. Whether i
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 informationTransitioning to BGP
Trasitioig to BGP ISP Workshops These materials are licesed uder the Creative Commos Attributio-NoCommercial 4.0 Iteratioal licese (http://creativecommos.org/liceses/by-c/4.0/) Last updated 24 th April
More informationOracle Portal. Building Portals. Release January, 2001 Part No. A
Oracle Portal Buildig Portals Release 3.0.8 Jauary, 2001 Part No. A87570-01 Oracle Portal Buildig Advaced Portals Release 3.0.8 Part No. A87570-01 Copyright 1996, 2000, Oracle Corporatio. All rights reserved.
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 informationCS 11 C track: lecture 1
CS 11 C track: lecture 1 Prelimiaries Need a CMS cluster accout http://acctreq.cms.caltech.edu/cgi-bi/request.cgi Need to kow UNIX IMSS tutorial liked from track home page Track home page: http://courses.cms.caltech.edu/courses/cs11/material
More informationPolitecnico di Milano Advanced Network Technologies Laboratory. Internet of Things. Projects
Politecico di Milao Advaced Network Techologies Laboratory Iteret of Thigs Projects 2016-2017 Politecico di Milao Advaced Network Techologies Laboratory Geeral Rules Geeral Rules o Gradig 26/30 are assiged
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 information2017 LEARNING SYSTEM CONTACT INFORMATION FOR CLTD CERTIFICATION EXAM PREPARATION. learncltd.com. Joni Holeman, VP Education. APICS DC Metro Chapter
2017 LEARNING SYSTEM FOR CLTD CERTIFICATION EXAM PREPARATION CONTACT INFORMATION Joi Holema, VP Educatio APICS DC Metro Chapter Email: educatio@apicsdcmetro.org Phoe: 703-430-4075 learcltd.com THE CLTD
More informationTask scenarios Outline. Scenarios in Knowledge Extraction. Proposed Framework for Scenario to Design Diagram Transformation
6-0-0 Kowledge Trasformatio from Task Scearios to View-based Desig Diagrams Nima Dezhkam Kamra Sartipi {dezhka, sartipi}@mcmaster.ca Departmet of Computig ad Software McMaster Uiversity CANADA SEKE 08
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 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 informationCAMPUS OF THE SENSES ERLANGEN
CAMPUS OF THE SENSES ERLANGEN Kick-off 15 th September 2017 istock.com/peopleimages Frauhofer IIS / 1 Huma Sesory Perceptio i the Digital Era istock.com/tscho Huma sesory perceptio is barely uderstood
More informationBaan Tools User Management
Baa Tools User Maagemet Module Procedure UP008A US Documetiformatio Documet Documet code : UP008A US Documet group : User Documetatio Documet title : User Maagemet Applicatio/Package : Baa Tools Editio
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 IV: GRAPH THEORY. Section 1: Introduction to Graphs
CHAPTER IV: GRAPH THEORY Sectio : Itroductio to Graphs Sice this class is called Number-Theoretic ad Discrete Structures, it would be a crime to oly focus o umber theory regardless how woderful those topics
More information1&1 Next Level Hosting
1&1 Next Level Hostig Performace Level: Performace that grows with your requiremets Copyright 1&1 Iteret SE 2017 1ad1.com 2 1&1 NEXT LEVEL HOSTING 3 Fast page loadig ad short respose times play importat
More informationUNIVERSITY OF MORATUWA
UNIVERSITY OF MORATUWA FACULTY OF ENGINEERING DEPARTMENT OF COMPUTER SCIENCE & ENGINEERING B.Sc. Egieerig 2014 Itake Semester 2 Examiatio CS2052 COMPUTER ARCHITECTURE Time allowed: 2 Hours Jauary 2016
More informationOperating System Concepts. Operating System Concepts
Chapter 4: Mass-Storage Systems Logical Disk Structure Logical Disk Structure Disk Schedulig Disk Maagemet RAID Structure Disk drives are addressed as large -dimesioal arrays of logical blocks, where the
More informationImproving Template Based Spike Detection
Improvig Template Based Spike Detectio Kirk Smith, Member - IEEE Portlad State Uiversity petra@ee.pdx.edu Abstract Template matchig algorithms like SSE, Covolutio ad Maximum Likelihood are well kow for
More informationHAFOD MAKING A COMPLAINT [NEW]_Layout 1 21/03/ :06 Page 1 MAKING A COMPLAINT
HAFOD MAKING A COMPLAINT [NEW]_Layout 1 21/03/2013 17:06 Page 1 MAKING A COMPLAINT FEBRUARY 2010 HAFOD MAKING A COMPLAINT [NEW]_Layout 1 21/03/2013 17:06 Page 2 ABOUT THIS BOOKLET This booklet outlies
More informationRecursive 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 informationChapter 5. Functions for All Subtasks. Copyright 2015 Pearson Education, Ltd.. All rights reserved.
Chapter 5 Fuctios for All Subtasks Copyright 2015 Pearso Educatio, Ltd.. All rights reserved. Overview 5.1 void Fuctios 5.2 Call-By-Referece Parameters 5.3 Usig Procedural Abstractio 5.4 Testig ad Debuggig
More informationWhat are we going to learn? CSC Data Structures Analysis of Algorithms. Overview. Algorithm, and Inputs
What are we goig to lear? CSC316-003 Data Structures Aalysis of Algorithms Computer Sciece North Carolia State Uiversity Need to say that some algorithms are better tha others Criteria for evaluatio Structure
More informationENGR Spring Exam 1
ENGR 300 Sprig 03 Exam INSTRUCTIONS: Duratio: 60 miutes Keep your eyes o your ow work! Keep your work covered at all times!. Each studet is resposible for followig directios. Read carefully.. MATLAB ad
More informationUNIT 4 Section 8 Estimating Population Parameters using Confidence Intervals
UNIT 4 Sectio 8 Estimatig Populatio Parameters usig Cofidece Itervals To make ifereces about a populatio that caot be surveyed etirely, sample statistics ca be take from a SRS of the populatio ad used
More informationSecurity of Bluetooth: An overview of Bluetooth Security
Versio 2 Security of Bluetooth: A overview of Bluetooth Security Marjaaa Träskbäck Departmet of Electrical ad Commuicatios Egieerig mtraskba@cc.hut.fi 52655H ABSTRACT The purpose of this paper is to give
More informationNew HSL Distance Based Colour Clustering Algorithm
The 4th Midwest Artificial Itelligece ad Cogitive Scieces Coferece (MAICS 03 pp 85-9 New Albay Idiaa USA April 3-4 03 New HSL Distace Based Colour Clusterig Algorithm Vasile Patrascu Departemet of Iformatics
More informationChapter 11. Friends, Overloaded Operators, and Arrays in Classes. Copyright 2014 Pearson Addison-Wesley. All rights reserved.
Chapter 11 Frieds, Overloaded Operators, ad Arrays i Classes Copyright 2014 Pearso Addiso-Wesley. All rights reserved. Overview 11.1 Fried Fuctios 11.2 Overloadig Operators 11.3 Arrays ad Classes 11.4
More informationLecture Notes 6 Introduction to algorithm analysis CSS 501 Data Structures and Object-Oriented Programming
Lecture Notes 6 Itroductio to algorithm aalysis CSS 501 Data Structures ad Object-Orieted Programmig Readig for this lecture: Carrao, Chapter 10 To be covered i this lecture: Itroductio to algorithm aalysis
More informationn Explore virtualization concepts n Become familiar with cloud concepts
Chapter Objectives Explore virtualizatio cocepts Become familiar with cloud cocepts Chapter #15: Architecture ad Desig 2 Hypervisor Virtualizatio ad cloud services are becomig commo eterprise tools to
More informationBayesian approach to reliability modelling for a probability of failure on demand parameter
Bayesia approach to reliability modellig for a probability of failure o demad parameter BÖRCSÖK J., SCHAEFER S. Departmet of Computer Architecture ad System Programmig Uiversity Kassel, Wilhelmshöher Allee
More informationSharing Collections. Share a Collection via . Share a Collection via Google Classroom. Quick Reference Guide
Quick Referece Guide Share a Collectio via Email Sharig your collectio with others is a great way to collaborate. You ca easily sed a lik to your colleagues, studets, classmates ad frieds. Recipiets do
More informationUSER GUIDE FOR VENDOR LISTING DATASHEET
USER GUIDE FOR VENDOR LISTING DATASHEET Vedor Database Maagemet System (VDMS) Uit Cotracts Sectio Cotracts, Purchasig Ad Logistics Departmet (CPL) Level 2 Khartoum Tower Gamhouria St. PO 12527 Khartoum
More informationCIW Site Designer (1D0-520) LearnSmart Exam Manual
Maual CIW v5 Site Desiger (ID0-520) 1-800-418-6789 CIW Site Desiger (1D0-520) LearSmart Maual Copyright 2011 by PrepLogic, LLC Product ID: 010654 Productio Date: July 18, 2011 Number of Questios: 25 All
More informationCS : Programming for Non-Majors, Summer 2007 Programming Project #3: Two Little Calculations Due by 12:00pm (noon) Wednesday June
CS 1313 010: Programmig for No-Majors, Summer 2007 Programmig Project #3: Two Little Calculatios Due by 12:00pm (oo) Wedesday Jue 27 2007 This third assigmet will give you experiece writig programs that
More informationChapter 4 The Datapath
The Ageda Chapter 4 The Datapath Based o slides McGraw-Hill Additioal material 24/25/26 Lewis/Marti Additioal material 28 Roth Additioal material 2 Taylor Additioal material 2 Farmer Tae the elemets that
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 informationCopyright 2016 Ramez Elmasri and Shamkant B. Navathe
Copyright 2016 Ramez Elmasri ad Shamkat B. Navathe CHAPTER 19 Query Optimizatio Copyright 2016 Ramez Elmasri ad Shamkat B. Navathe Itroductio Query optimizatio Coducted by a query optimizer i a DBMS Goal:
More informationCopyright 2016 Ramez Elmasri and Shamkant B. Navathe
Copyright 2016 Ramez Elmasri ad Shamkat B. Navathe CHAPTER 22 Database Recovery Techiques Copyright 2016 Ramez Elmasri ad Shamkat B. Navathe Itroductio Recovery algorithms Recovery cocepts Write-ahead
More informationOctahedral Graph Scaling
Octahedral Graph Scalig Peter Russell Jauary 1, 2015 Abstract There is presetly o strog iterpretatio for the otio of -vertex graph scalig. This paper presets a ew defiitio for the term i the cotext of
More informationBike MS: 2013 Participant Center guide
Bike MS: 2013 Participat Ceter guide bikems.org 1 Why use Olie Fudraisig Tools? Usig olie tools makes fudraisig easier Table of Cotets Participats who use persoal pages raise more moey! Bike MS $883 v.
More informationBike MS: 2014 Participant Center guide
Bike MS: 2014 Participat Ceter guide bikems.org 1 Table of Cotets Why Use Olie Fudraisig Tools... 2 Participat Ceter... 3 Guide to Olie Fudraisig... 3 Edit Persoal Page... 5 Address Book... 7 Email Messages...
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 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 informationG r a d e. 5 M a t h e M a t i c s. shape and space
G r a d e 5 M a t h e M a t i c s shape ad space Grade 5: Shape ad Space (Measuremet) (5.SS.1) Edurig Uderstadigs: there is o direct relatioship betwee perimeter ad area. Geeral Outcome: Use direct or
More informationShadow Document Methods of Results Merging
Shadow Documet Methods of Results Mergig Shegli Wu ad Fabio Crestai Departmet of Computer ad Iformatio Scieces Uiversity of Strathclyde, Glasgow, UK {s.wu,f.crestai}@cis.strath.ac.uk ABSTRACT I distributed
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 informationCOMP 558 lecture 6 Sept. 27, 2010
Radiometry We have discussed how light travels i straight lies through space. We would like to be able to talk about how bright differet light rays are. Imagie a thi cylidrical tube ad cosider the amout
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 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 information1. Introduction o Microscopic property responsible for MRI Show and discuss graphics that go from macro to H nucleus with N-S pole
Page 1 Very Quick Itroductio to MRI The poit of this itroductio is to give the studet a sufficietly accurate metal picture of MRI to help uderstad its impact o image registratio. The two major aspects
More informationIMP: Superposer Integrated Morphometrics Package Superposition Tool
IMP: Superposer Itegrated Morphometrics Package Superpositio Tool Programmig by: David Lieber ( 03) Caisius College 200 Mai St. Buffalo, NY 4208 Cocept by: H. David Sheets, Dept. of Physics, Caisius College
More informationGraphic Standards for District Identification. September, 2012
Graphic Stadards for District Idetificatio September, 2012 CASE Graphic Stadards for District Idetificatio DRAFT 12.8.14 Coucil for Advacemet ad Support of Educatio, 2012. 1 . This documet is a draft of
More informationToday s objectives. CSE401: Introduction to Compiler Construction. What is a compiler? Administrative Details. Why study compilers?
CSE401: Itroductio to Compiler Costructio Larry Ruzzo Sprig 2004 Today s objectives Admiistrative details Defie compilers ad why we study them Defie the high-level structure of compilers Associate specific
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 informationBEA WebLogic Commerce Server. Registration and User Processing Package
BEA WebLogic Commerce Server Registratio ad User Processig Package BEA WebLogic Commerce Server 3.2 Documet Editio 3.2 December 2000 Copyright Copyright 2000 BEA Systems, Ic. All Rights Reserved. Restricted
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 informationData Warehousing. Paper
Data Warehousig Paper 28-25 Implemetig a fiacial balace scorecard o top of SAP R/3, usig CFO Visio as iterface. Ida Carapelle & Sophie De Baets, SOLID Parters, Brussels, Belgium (EUROPE) ABSTRACT Fiacial
More informationENGR 132. Fall Exam 1 SOLUTIONS
ENGR 3 Fall 03 Exam SOLUTIONS INSTRUCTIONS: Duratio: 60 miutes Keep your eyes o your ow work! Keep your work covered at all times!. Each studet is resposible for followig directios. Read carefully.. MATLAB
More informationInvestigation Monitoring Inventory
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
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 informationImproving Information Retrieval System Security via an Optimal Maximal Coding Scheme
Improvig Iformatio Retrieval System Security via a Optimal Maximal Codig Scheme Dogyag Log Departmet of Computer Sciece, City Uiversity of Hog Kog, 8 Tat Chee Aveue Kowloo, Hog Kog SAR, PRC dylog@cs.cityu.edu.hk
More informationInstant Message Retrieval GoGetIM. Michael Seltzer Faculty Advisor: Zachary Ives
Abstract Istat Message Retrieval GoGetIM Michael Seltzer mseltzer@seas.upe.edu Faculty Advisor: Zachary Ives zives@cis.upe.edu May compaies ad idividuals have recetly developed a wide variety of software
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 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 informationBaan Finance Financial Statements
Baa Fiace Fiacial Statemets Module Procedure UP041A US Documetiformatio Documet Documet code : UP041A US Documet group : User Documetatio Documet title : Fiacial Statemets Applicatio/Package : Baa Fiace
More informationProtected points in ordered trees
Applied Mathematics Letters 008 56 50 www.elsevier.com/locate/aml Protected poits i ordered trees Gi-Sag Cheo a, Louis W. Shapiro b, a Departmet of Mathematics, Sugkyukwa Uiversity, Suwo 440-746, Republic
More informationBEA elink Business Process Option Server Installation Guide
BEA elik Busiess Process Optio Server Istallatio Guide BEA elik Busiess Process Optio 1.2 Documet Editio 1.2 February 2000 Copyright Copyright 2000 BEA Systems, Ic. All Rights Reserved. Restricted Rights
More informationShape Analysis and Applications 1
12 Shape Aalysis ad Applicatios 1 Thomas Reps 2 Computer Scieces Departmet, Uiversity of Wiscosi-Madiso, WI reps@cs.wisc.edu Mooly Sagiv Departmet of Computer Sciece, School of Mathematics ad Sciece, Tel
More informationBIKE MS: 2015 PARTICIPANT CENTER GUIDE
BIKE MS: 2015 PARTICIPANT CENTER GUIDE bikems.org 1 Table of Cotets Why Use Olie Fudraisig Tools... 2 Participat Ceter... 3 Guide to Olie Fudraisig... 3 Edit Persoal Page... 5 Address Book... 7 Email Messages...
More informationFloristic Quality Assessment (FQA) Calculator for Colorado User s Guide
Floristic Quality Assessmet (FQA) Calculator for Colorado User s Guide Created by the Colorado atural Heritage Program Last Updated April 2012 The FQA Calculator was created by Michelle Fik ad Joaa Lemly
More informationHarris Corner Detection Algorithm at Sub-pixel Level and Its Application Yuanfeng Han a, Peijiang Chen b * and Tian Meng c
Iteratioal Coferece o Computatioal Sciece ad Egieerig (ICCSE 015) Harris Corer Detectio Algorithm at Sub-pixel Level ad Its Applicatio Yuafeg Ha a, Peijiag Che b * ad Tia Meg c School of Automobile, Liyi
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 informationBAAN IVc/BaanERP. Conversion Guide Oracle7 to Oracle8
BAAN IVc/BaaERP A publicatio of: Baa Developmet B.V. P.O.Box 143 3770 AC Bareveld The Netherlads Prited i the Netherlads Baa Developmet B.V. 1999. All rights reserved. The iformatio i this documet is subject
More information