IX- On Some Clustering Techniques for Information Retrieval. J. D. Broffitt, H. L. Morgan, and J. V. Soden

Save this PDF as:
 WORD  PNG  TXT  JPG

Size: px
Start display at page:

Download "IX- On Some Clustering Techniques for Information Retrieval. J. D. Broffitt, H. L. Morgan, and J. V. Soden"

Transcription

1 IX-1 IX- On Sme Clustering Techniques fr Infrmatin Retrieval J. D. Brffitt, H. L. Mrgan, and J. V. Sden Abstract Dcument clustering methds which have been prpsed by R. E. Bnner and J. J. Rcchi are cmpared. Bnner's methd is fund t give higher precisin than Rcchi T s methd, while the recall fr the tw methds is abut the same. Bnner's methd necessitates abut twice as many cmparisns against a query vectr as Rcchi's methd; this is t be expected since Rcchi cntrls the cluster size in rder t maximize search efficiency. Manual relevance judgments are used as well as relevance judgments determined by query dcument csines. The results are fund t be invariant under the tw measures. 1. Intrductin The rganizatin f infrmatin int hmgeneus grups plays a majr rle in many fields f research. Sme areas f applicatin are infrmatin retrieval, bilgical taxnmy, islatin f disease syndrmes in medicine, anthrplgy (categrizatin f tribes), and business applicatins such as categrizing TV audiences, sales ffices, etc. Indeed, the applicatins f infrmatin rganizatin are numerus, and the particular applicatin being studied dictates the type f classificatin needed. Needham[l] has divided classificatin prblems int three types: (1) the assignment f given bjects t given classes, (2) the extractin f class characteristics frm given classes and their bjects, and

2 rx-2 (3) the setting up f apprpriate classes, clusters, clumps, r grups given a set f bjects and same infrmatin abut them. Even mre specifically, this last prblem may be viewed as a prblem f either structuring the bjects int a hierarchy r tree arrangement, r cllecting the bjects int cherent grups withut regard fr hierarchical relatins amng the bjects r grups. Bth f these prblems find their place within the realm f an autmatic infrmatin retrieval system, where dcuments are identified by vectrs f weighted measures f ccurrences f cncepts. Thesaurus cnstructin, fr example, while being cncerned with the gruping f cccurring cncepts fr synnym references, has as a majr bjective the determinatin f hierarchies f infrmatin amng the cncepts. On the ther hand, dcument clustering deals with the cllectin f similar dcuments int grups based nly n similarities amng the dcuments. The applicatin f infrmatin rganizatin t dcument clustering is the cncern f this study. In rder effectively t perate an autmatic infrmatin retrieval system based n vectr matching between queries and dcuments, an efficient dcument clustering prcedure is necessary. The number f dcuments which must be cmpared with the query in rder reasnably t satisfy the demands f an infrmatin request is t large t permit individual cmparisns with each dcument in the cllectin. Once the dcuments have been clustered int hmgeneus grups, a tw-level search prcedure greatly reduces the number f cmparisns needed t answer a request. This methd first cmpares the query vectr with the classificatin vectrs characterizing the grups. The secnd level cmpares the query vectr with all dcuments belnging t

3 n-3 the grups with whse classificatin vectr the query vectr was fund t crrelate higily n the first level. While increasing the search efficiency in terms f the number f cmparisns made with a query vectr, the clustering prcess inherently decreases the infrmatin which categrizes the individual dcuments. Thus the prblem f dcument clustering is clear: classifying the dcuments int hmgeneus grups in rder t increase search efficiency withut seriusly sacrificing the ability t retrieve the dcuments. schemes have been suggested t this end. Varius These prcedures gather dcuments int grups based n sme type f crrelatin functin which assciates similar dcuments. Since there exists n purely analytical methd fr cmparing the relative efficiency f these varius methds, and since this "efficiency" may differ with the use t which the grups are put, it is necessary t cmpare the clustering prcedures in the cntext f an autmatic infrmatin retrieval system, and t evaluate the merits f the clustering prcedures by evaluating the verall perfrmance f such a system, with nly a change in the clustering methd frm experiment t experiment. The evaluatin f the verall perfrmance f such a system clearly invlves the envirnment in which the system is used, and the users themselves. Specifically, the present study cnsists f a cmparisn f tw clustering prcedures: a methd f R. E. Bnner [2], and the methd prpsed by J. J. Rcchi [3]. These techniques can reasnably be studied by a cmparisn f the dcuments retrieved by an autmatic retrieval system using a tw level search based n the clusters prduced by the methds with thse retrieved by a full search f the dcument cllectin.

4 IX-4 2. Similarity Measures In the present system, dcuments and queries are represented as vectrs in n-dimensinal Euclidean space, where n is the number f allwable cncepts r index terms in the system. Dcuments are retrieved n the basis f their clseness t the query vectr, with "clseness" meaning small Euclidean distance between the vectrs. Since the dcument vectrs are f varying length, hwever, perpendicular distance at same fixed distance frm the rigin may nt always be a gd measure. Nrmalizatin f the dcument vectrs s that their endpints lie n the unit hypersphere, and use f the arc-length alng the hypersphere as a distance measure, remves this prblem. The measures used in the present study are functins f this arc length thrugh the csine f the angle between tw dcument vectrs. The measures used are defined in the fllwing ways: (1) Csine measure S d d - 12 (2) Tanimt's measure [k] d l- d 2 ivl^l ^ where d, and d- are dcument vectrs and S-. is the similarity f 1 2 aid2 dcument ne with dcument tw. Bnner uses the cefficient (2) t frm his dcument-dcument similarity matrices, while Rcchi uses the csine measure t cmpare dcuments.

5 EC-5 Rcchi states that since the csine is used as the matching functin t retrieve dcuments, clustering with it shuld give better results. T test this, Bnner's methd is being tried using bth cefficients. 3. Rcchifs Prcedure The stated bjective f Rcchi1s prcedure is that f jintly maximizing search efficiency and minimizing lss f relevant dcuments retrieved, in the search. It is a heuristically derived algrithm which is meant t be used in cnjunctin with a tw-level search. The input parameters t the algrithm are: (1) the number f categries desired; (2) lwer and upper bunds n the number f elements t be allwed in a categry; (3) a lwer bund n the crrelatin between a dcument and a classificatin vectr, belw which a dcument will nt be placed in a categry. All dcuments are first cnsidered unclustered, and pass frm, this state int ne f tw ther pssible states, clustered r lse. The algrithm prceeds as fllws. An unclustered dcument is selected-as a pssible cluster center. All f the ther unclustered and lse dcuments are crrelated with it and the selected dcument is subjected t a regin density test t see. if a categry shuld be frmed arund it. This test specifies that mre than N, dcuments shuld be crrelated higher than p. with the candidate, and that mre than N~ dcuments shuld be crrelated higher than p p with the candidate. This ensures that dcuments n the edge f large grups d nt becme centers f grups. Fr example, in This sectin is a summary f sectin k.5 f reference [3], t which the reader is referred fr a mre detailed discussin and prgram flwcharts.

6 K-6 Figure 1 belw, dcument A wuld pass the test while dcument B wuld nt (the dcuments are here represented by their endpints n the unit hypersphere) If the dcument passes the \ ': # # Example f the density test. Figure 1 regin density test, the cutff n categry size is used t find the lwest crrelated dcument that wuld be included in the grup. This figure is used t setup a crrelatin p.. If a dcument crrelates belw p. with a classificatin vectr, it will nt be included in the cluster. By using this cutff, dcuments that are in an area between tw classificatin vectrs are likely t be included nly in the cluster t which they are crrelated mre highly. This means that the bundaries between grups f dcuments which lie near each ther will be sharpened, althugh sme dcuments may still be included in bth grups. A classificatin vectr is then frmed by taking the centrid f all f the dcument vectrs belnging t the cluster at this time. This centrid is then matched against the entire cllectin, and the cutff parameters n categry size are used t create the cluster. At this pint, sme dcuments may be in mre than ne cluster. Als, sme dcuments which were in a cluster when the centrid was frmed may n lnger be in the cluster. These dcuments, as well as thse which fail the regin density test, are then marked lse, and thse in the cluster are marked clustered.

7 DC-7 This entire prcedure is repeated with all unclustered dcuments. When this is cmpleted, there is n guarantee that the required minimum number f clusters have been frmed. Hence, sme dcuments which failed the regin density test in the first pass are chsen as cluster centers. If the number f categries frmed in the first pass was t.high, the density test may be made stricter and the first pass repeated. There may still be sme relatively islated dcuments at the end f the clustering prcess. These crrelate very prly with any f the classificatin vectrs. In rder t prperly test the prcedures with the limited cllectins available, these dcuments are included in the cluster with which they crrelate highest. This prcedure has been prgrammed fr the CDC l66k FORTRAN 63 and CODAP by V. Lesser. cmputer in The utput f this prgram cnsists f a deck f punched cards which specify the dcuments belnging t each categry and the classificatin vectr fr each categry frmed. These cards are then used as input t a tw-level search prcedure prgram, written by the authrs in FORTRAN 63, which cmpares the queries t the dcuments in the clusters crrelating highest with the query vectr. b. Bnner's Prcedure This algrithm is based upn Clustering Prgrams I and II and the Cluster Adjustment Prgram presented by Bnner in reference [2], and has been prgrammed by the authrs fr the CDC 160^ cmputer as FORTRAN 63 subrutines DOCDOC, SIMSIM, CLUSTER, and ADJUSTCL. Subrutine DOCDOC accepts as input a binary dcument-term matrix and calculates a dcument-dcument similarity matrix S, using either f the

8 n-8 similarity measures discussed in sectin 2. S is then transfrmed int a binary matrix whse elements are zer (0) if the calculated similarity cefficient is belw an empirically determined threshld, r ne (l) therwise. Subrutine SIMSIM then calculates the similarity matrix f the dcument-dcument matrix in a manner cmpletely analagus t DOCDOC. This is bviusly equivalent t calculating the similarity matrix f anther similarity matrix and is repeated as many times as necessary t better define the clusters which result. Next, subrutine CLUSTER uses the algrithm as utlined in Figure 2 t define a "cluster" as that set f dcuments f maximum size where each dcument is similar (in the final dcument-dcument matrix f SIMSIM) t all ther members f the set. In additin, n cluster can be a subset f anther cluster* After CLUSTER has fund the "tight" clusters r, in graph theretic terms, the maximal cmplete sublps f the dcument cllectin, subrutine ADJUSTCL attempts t redefine the clusters in a manner mre cnducive t search ptimizatin. This is accmplished by transferring a member f a cluster with membership less than a predetermined cnstant int the large cluster t which it is mst similar. This similarity is the percentage f dcuments in the large cluster t which the transferring dcument is linked in the first dcument-dcument similarity matrix. Befre the transfer is made, hwever, this percentage is checked against a predetermined value (SIMTHEES), belw which the transfer will nt be made. After all shifting is cmpleted, the classificatin vectr is calculated. This is merely the centrid vectr f all f the dcument vectrs

9 EC-9 s,_ - (j s k F W 1 in "last" similarity matrix} U d'c D, ial,...,m} «list f clusters fund = subset f D frm which clusters are t be drawn = pssible cluster currently being frmed «list f dcuments currently being cnsidered fr inclusin in C j «n. f clusters fund m «n. f d. D C P n «n. f dcuments currently in C k - C(n) z p - & n p n k n-u C» C + P n (l) n n + 1 C «C - C(n) n n - 1 k = C(n) ' J CONTINUE i LIST THE j CLUSTERS, Tj, IN F w-i-yi Bnner's Cluster Building Algrithm H Figure 2

10 IX-10 in the cluster. This set f classificatin vectrs is used in the tw-level search prcedure, as described at the end f sectin The Experiment The experimental envirnment cnsisted f 82 dcuments and 20 queries frm an American Dcumentatin Institute (ADI) cllectin. These dcuments were autmatically indexed by the SMART autmatic dcument retrieval system. [5] This system prvided 82 dcument vectrs and 20 query vectrs in 601-dimensinal Euclidean space. These vectrs are then nrmalized t length ne and used as input t bth Bnner1 s and Rcchi's clustering prcedures. Since each f these prcedures depends n several parameters, many runs were planned with each methd in rder empirically t determine desirable values fr these parameters. The results presented belw are based mainly n six cmputer runs, fur using Bnner's clustering methd and tw using Rcchi's clustering methd. Each run cnsists f a clustering prcess fr the 82 dcuments, resulting in the generatin f the classificatin vectrs, fllwed by a tw-level search fr each f the 20 queries. In additin, a run was made t match each query with the entire dcument cllectin using the csine matching functin, s as t btain an rdering f the dcuments by this crrelatin fr each f the 20 queries. At the end f the first level f the search, nly the tw clusters which crrelate highest with a query are retained. This is dne because f the small size f the cllectin. If mre than tw clusters are retained, the ttal number f cmparisns with a given query vectr becmes

11 K-ll t large t btain any savings ver a search f the entire cllectin. In larger cllectins, ne wuld prbably wish t lk nt nly at a certain number f clusters, but t take int accunt their crrelatins with a query as well, when determining hw many clusters t search. 6. Evaluatin The results f the experiment are evaluated by using the recall and precisin measures defined in reference [5]*, and the mean number f cmparisns per query. In calculating the recall and precisin measures, the questin f which dcuments are relevant t a given query arises. Fr the,82 dcument ADI cllectin, judgments have previusly been made by searching the entire cllectin manually t identify all dcuments relevant t a given query. It is nt clear that recall and precisin calculated by using these manual relevance judgments prvide a gd measuring device fr cmparing the clustering prcedures. Hence, an additinal set f relevance judgments has been made based upn the results f the search f the entire cllectin described in the previus sectin. Fr each query, a.n dcuments crrelating abve.30 with a query (.30 was chsen t give the same average number f relevant dcuments per query as the manual judgments gave) are cnsidered relevant. In the results presented belw, the recall and precisin figures fr bth the manual and the "autmatic" relevance judgments are given. The authrs feel that bth sets f measures shuld be cnsidered in evaluating the perfrmance f a clustering prcedure as part f an verall autmatic infrmatin retrieval system. * Recall = number f relevant dcuments retrieved number f relevant dcuments in the cllectin number f dcuments retrieved Precisin = number f relevant dcuments retrieved

12 EC Results and Cnclusins The results f the study are summarized in Table 1* One striking characteristic f Bnner's methd is the large number f clusters it prduces. This is t be expected since Bnner refuses t assciate dissimilar dcuments, whereas Rcchi allws dissimilar dcuments t be assciated in rder t build clusters f a size cnducive t search efficiency. Thus, ne wuld expect that the mean number f matches made with a query vectr using Rcchifs methd wuld be less than the mean number f matches made using Bnner's methd. The results supprt this hypthesis since apprximately twice as many matches are required using Bnner's methd as when using Rcchi's methd. Next, restricting ur attentin t the recall and precisin results btained using the manual relevance judgments, it is apparent that Bnner's methd exhibits higher precisin than, and nearly equivalent recall t Rcchi's methd. One wuld expect the higher precisin since there are far fewer members in each cluster, and hence, when a cluster is retrieved, it is mre likely t cntain a high percentage f relevant dcuments. Als, there is a higher similarity between members f the same cluster with Bnner's methd than with Rcchifs methd. Hence, if the cluster is similar, mre f the dcuments in it are likely t be relevant since they are all very similar. The nearly equivalent recall between the tw methds is smewhat surprising, as ne wuld expect the large number f dcuments retrieved by using Rcchi's methd t include mre f the relevant nes. This is the case if the tw highest ranking clusters are used, but is nt true if nly the highest ranking cluster is used, althugh using nly the

13 EC-13 w c 0 a c g-s 0) R VO ft cn ft fc H CVJ _ H 3 S DC en VO cn ON ^ IA g rh c: a} 't O -H «8 2 s» H 00 cs CS ^ S 0) CO -* Cn * & a H IA 1 O c *d d -P c cy CD Q P5 35 CO v CV) in IA CO m 1 O s -5f 3 00 (9 cn H CO cvi! 1 IA I CVJ I 00 IA \ cn\ I CO <u -p CO IA IA ON 00 a a CO CO 8 CD I 1 1 Bnner (2) Csine [H IA 1 ' O if d «EH CVJ I S, 3 2 PQ EH L CVJ CVJ 1 jl ffl En -^ H H 42 O O!2 1 H 45 O v H H x: «t- H ll 00 1 cvn w ^-*

14 highest ranking clusters makes the number f dcuments retrieved clser t the number retrieved by Bnner's methd. The superirity f the csine similarity measure is evidenced by entry number ne in Table 1. In this run, the csine cefficient was used t btain the similarity matrices fr Bnner's prcedure. This entry clearly dminates the next three entries fr any reasnable measure f "gdness". Further research using Bnner's methd shuld therefre fcus attentin upn this similarity measure. If we cmpare the results fr all f the entries using the manual relevance Judgments with thse using the "autmatic" relevance judgments, it is clear that the relative ranking f the entries is nt changed. These results are, fr all practical purpses, invariant under either set f relevance judgments. The abve results shuld be viewed in their prper light. The dcument cllectin is very small and the number f cmputer runs btained s far t few t make any strng statements. It is clear that a mre thrugh analysis f the effects f the parameters f these clustering prcedures shuld be made befre any slid cnclusins are drawn regarding the relative efficiency f the tw methds tested.

15 n-15 References [l] R. M» Needham, Applicatins f the Thery f Clumps, Mechanical Translatin, Vl. 8, Ns. 3 and k, June-Octber [2] R. E. Bnner, On Sme Clustering Techniques, IBM Jurnal f Research and Develpment, Vl. 8, N. 1, January [3] J«J. Rcchi, Harvard University Dctral Thesis, Reprt N. ISR-10 t the Natinal Science Fundatin, April [k] D. Rgers and T. Tanimt, A Cmputer Prgram fr Classifying Plaints, Science, Vl. 132, pp , Octber i960. [5] G. Saltn, et. al. Infrmatin Strage and Retrieval, Reprt N. ISR-9 t Natinal Science Fundatin, Harvard Cmputatin Labratry, August 1965* [6] J. Rubin, Optimal Classificatin int Grups: An Apprach fr Slving The Taxnmy Prblem, (unpublished IBM reprt), March [7] W. D. Fisher, Tw-Way Cluster Analysis, (preliminary reprt) Kansas State University, 1966.

ADMINISTRATION AND FINANCE POLICIES AND PROCEDURES TABLE OF CONTENTS

ADMINISTRATION AND FINANCE POLICIES AND PROCEDURES TABLE OF CONTENTS CONTROL Revisin Date: 1/21/03 TABLE OF CONTENTS 10.01 OVERVIEW OF ACCOUNTING FOR INVESTMENT IN PLANT... 2 10.01.1 CURRENT POLICY... 2 10.02 INVENTORY MAINTENANCE AND CONTROL... 3 10.02.1 PROCEDURES FOR

More information

Watlington and Chalgrove GP Practice - Patient Satisfaction Survey 2011

Watlington and Chalgrove GP Practice - Patient Satisfaction Survey 2011 Watlingtn and Chalgrve GP - Patient Satisfactin Survey 2011 Backgrund During ne week in Nvember last year patients attending either the Chalgrve r the Watlingtn surgeries were asked t cmplete a survey

More information

The ad hoc reporting feature provides a user the ability to generate reports on many of the data items contained in the categories.

The ad hoc reporting feature provides a user the ability to generate reports on many of the data items contained in the categories. 11 This chapter includes infrmatin regarding custmized reprts that users can create using data entered int the CA prgram, including: Explanatin f Accessing List Screen Creating a New Ad Hc Reprt Running

More information

Standards and Procedures for Approved Master's Seminar Paper or Educational Project University of Wisconsin-Platteville Requirements

Standards and Procedures for Approved Master's Seminar Paper or Educational Project University of Wisconsin-Platteville Requirements Standards and Prcedures fr Apprved Master's Seminar Paper r Educatinal Prject University f Wiscnsin-Platteville Requirements Guidelines Apprved by the Graduate Cuncil University f Wiscnsin-Platteville

More information

UNIVERSITY OF CALIFORNIA MERCED PERFORMANCE MANAGEMENT GUIDELINES

UNIVERSITY OF CALIFORNIA MERCED PERFORMANCE MANAGEMENT GUIDELINES UNIVERSITY OF CALIFORNIA MERCED PERFORMANCE MANAGEMENT GUIDELINES REFERENCES AND RELATED POLICIES A. UC PPSM 2 -Definitin f Terms B. UC PPSM 12 -Nndiscriminatin in Emplyment C. UC PPSM 14 -Affirmative

More information

Phi Kappa Sigma International Fraternity Insurance Billing Methodology

Phi Kappa Sigma International Fraternity Insurance Billing Methodology Phi Kappa Sigma Internatinal Fraternity Insurance Billing Methdlgy The Phi Kappa Sigma Internatinal Fraternity Executive Bard implres each chapter t thrughly review the attached methdlgy and plan nw t

More information

THE FACULTY OF LAW AND SOCIAL SCIENCES. Department of Economics and Department of Development Studies

THE FACULTY OF LAW AND SOCIAL SCIENCES. Department of Economics and Department of Development Studies Appendix G REC 25 May 2011 THE FACULTY OF LAW AND SOCIAL SCIENCES Department f Ecnmics and Department f Develpment Studies PROGRAMME SPECIFICATIONS FOR THE DEGREES OF MPHIL AND PHD IN INTERNATIONAL DEVELOPMENT

More information

Software and Hardware Change Management Policy for CDes Computer Labs

Software and Hardware Change Management Policy for CDes Computer Labs Sftware and Hardware Change Management Plicy fr CDes Cmputer Labs Overview The cmputer labs in the Cllege f Design are clsely integrated with the academic needs f faculty and students. Cmputer lab resurces

More information

Data Warehouse Scope Recommendations

Data Warehouse Scope Recommendations Rensselaer Data Warehuse Prject http://www.rpi.edu/datawarehuse Financial Analysis Scpe and Data Audits This dcument describes the scpe f the Financial Analysis data mart scheduled fr delivery in July

More information

Please provide a 2-3 sentence summary of your proposal: Financial Profile of Organization:

Please provide a 2-3 sentence summary of your proposal: Financial Profile of Organization: Name f Applicant Organizatin: Address: City, State, Zip: Phne: Fax: Email: Primary Cntact & Title: Federal EIN Number: Website: Age f Organizatin: Please prvide a 2-3 sentence summary f yur prpsal: Financial

More information

System Business Continuity Classification

System Business Continuity Classification Business Cntinuity Prcedures Business Impact Analysis (BIA) System Recvery Prcedures (SRP) System Business Cntinuity Classificatin Cre Infrastructure Criticality Levels Critical High Medium Lw Required

More information

Corporate Standards for data quality and the collation of data for external presentation

Corporate Standards for data quality and the collation of data for external presentation The University f Kent Crprate Standards fr data quality and the cllatin f data fr external presentatin This paper intrduces a set f standards with the aim f safeguarding the University s psitin in published

More information

ARE YOU INTERESTED IN THE PRIOR LEARNING ASSESSMENT (PLA) PROGRAM?

ARE YOU INTERESTED IN THE PRIOR LEARNING ASSESSMENT (PLA) PROGRAM? ARE YOU INTERESTED IN THE PRIOR LEARNING ASSESSMENT (PLA) PROGRAM? City University f Seattle recgnizes that learning ccurs in many different ways and under varied circumstances. As a result, the University

More information

Application for Inclusion of a Developed Practice Area in Professional Psychology for Purposes of Doctoral and Internship Program Accreditation

Application for Inclusion of a Developed Practice Area in Professional Psychology for Purposes of Doctoral and Internship Program Accreditation Applicatin fr Inclusin f a Develped Practice Area in Prfessinal Psychlgy fr Purpses f Dctral and Internship Prgram Accreditatin Cmmittee n Accreditatin c/ Office f Prgram Cnsultatin and Accreditatin Educatin

More information

This report provides Members with an update on of the financial performance of the Corporation s managed IS service contract with Agilisys Ltd.

This report provides Members with an update on of the financial performance of the Corporation s managed IS service contract with Agilisys Ltd. Cmmittee: Date(s): Infrmatin Systems Sub Cmmittee 11 th March 2015 Subject: Agilisys Managed Service Financial Reprt Reprt f: Chamberlain Summary Public Fr Infrmatin This reprt prvides Members with an

More information

The Importance Advanced Data Collection System Maintenance. Berry Drijsen Global Service Business Manager. knowledge to shape your future

The Importance Advanced Data Collection System Maintenance. Berry Drijsen Global Service Business Manager. knowledge to shape your future The Imprtance Advanced Data Cllectin System Maintenance Berry Drijsen Glbal Service Business Manager WHITE PAPER knwledge t shape yur future The Imprtance Advanced Data Cllectin System Maintenance Cntents

More information

Chris Chiron, Interim Senior Director, Employee & Management Relations Jessica Moore, Senior Director, Classification & Compensation

Chris Chiron, Interim Senior Director, Employee & Management Relations Jessica Moore, Senior Director, Classification & Compensation TO: FROM: HR Officers & Human Resurces Representatives Chris Chirn, Interim Senir Directr, Emplyee & Management Relatins Jessica Mre, Senir Directr, Classificatin & Cmpensatin DATE: May 26, 2015 RE: Annual

More information

ITIL Service Offerings & Agreement (SOA) Certification Program - 5 Days

ITIL Service Offerings & Agreement (SOA) Certification Program - 5 Days ITIL Service Offerings & Agreement (SOA) Certificatin Prgram - 5 Days Prgram Overview ITIL is a set f best practices guidance that has becme a wrldwide-adpted framewrk fr Infrmatin Technlgy Services Management

More information

Licensing Windows Server 2012 for use with virtualization technologies

Licensing Windows Server 2012 for use with virtualization technologies Vlume Licensing brief Licensing Windws Server 2012 fr use with virtualizatin technlgies (VMware ESX/ESXi, Micrsft System Center 2012 Virtual Machine Manager, and Parallels Virtuzz) Table f Cntents This

More information

Army DCIPS Employee Self-Report of Accomplishments Overview Revised July 2012

Army DCIPS Employee Self-Report of Accomplishments Overview Revised July 2012 Army DCIPS Emplyee Self-Reprt f Accmplishments Overview Revised July 2012 Table f Cntents Self-Reprt f Accmplishments Overview... 3 Understanding the Emplyee Self-Reprt f Accmplishments... 3 Thinking Abut

More information

Licensing Windows Server 2012 R2 for use with virtualization technologies

Licensing Windows Server 2012 R2 for use with virtualization technologies Vlume Licensing brief Licensing Windws Server 2012 R2 fr use with virtualizatin technlgies (VMware ESX/ESXi, Micrsft System Center 2012 R2 Virtual Machine Manager, and Parallels Virtuzz) Table f Cntents

More information

Design for securability Applying engineering principles to the design of security architectures

Design for securability Applying engineering principles to the design of security architectures Design fr securability Applying engineering principles t the design f security architectures Amund Hunstad Phne number: + 46 13 37 81 18 Fax: + 46 13 37 85 50 Email: amund@fi.se Jnas Hallberg Phne number:

More information

What broader insights would you want to explore first to answer the CEO s questions?

What broader insights would you want to explore first to answer the CEO s questions? Setup The CEO f a majr client has requested a shrt-term study examining a small part f the client s prduct prtfli. The cmpany has a small divisin that manufactures autmatic drip cffeemakers fr the US and

More information

IFRS Discussion Group

IFRS Discussion Group IFRS Discussin Grup Reprt n the Public Meeting February 26, 2014 The IFRS Discussin Grup is a discussin frum nly. The Grup s purpse is t assist the Accunting Standards Bard (AcSB) regarding issues arising

More information

A.M. BEST RATING SERVICES, INC. RATING DIVISION INTERNAL POLICY AND PROCEDURE. Subject: Dissemination Number: CRPC Policy 5

A.M. BEST RATING SERVICES, INC. RATING DIVISION INTERNAL POLICY AND PROCEDURE. Subject: Dissemination Number: CRPC Policy 5 A.M. BEST RATING SERVICES, INC. RATING DIVISION INTERNAL POLICY AND PROCEDURE Subject: Disseminatin Number: CRPC Plicy 5 Effective Date: Nvember 29, 2006 Revisin Date: January 04, 2016 Purpse: The purpse

More information

Equal Pay Audit 2014 Summary

Equal Pay Audit 2014 Summary Equal Pay Audit 2014 Summary Abut the dcument The fllwing summary is an abridged versin f Ofcm s equal pay audit 2014. In the full versin f the reprt we set ut ur key findings, cmment n any issues arising

More information

Writing a Compare/Contrast Essay

Writing a Compare/Contrast Essay Writing a Cmpare/Cntrast Essay As always, the instructr and the assignment sheet prvide the definitive expectatins and requirements fr any essay. Here is sme general infrmatin abut the rganizatin fr this

More information

Select Auditing Considerations for the 2014 Audit Cycle

Select Auditing Considerations for the 2014 Audit Cycle Select Auditing Cnsideratins fr the 2014 Audit Cycle This Alert is intended t remind member firms f certain auditing cnsideratins that may be relevant fr the 2014 audit cycle. The Alert identifies and

More information

INTERNATIONAL STANDARD ON AUDITING 265 COMMUNICATING DEFICIENCIES IN INTERNAL CONTROL TO THOSE CHARGED WITH GOVERNANCE AND MANAGEMENT CONTENTS

INTERNATIONAL STANDARD ON AUDITING 265 COMMUNICATING DEFICIENCIES IN INTERNAL CONTROL TO THOSE CHARGED WITH GOVERNANCE AND MANAGEMENT CONTENTS INTERNATIONAL STANDARD ON AUDITING 265 COMMUNICATING DEFICIENCIES IN INTERNAL CONTROL TO THOSE CHARGED WITH GOVERNANCE AND MANAGEMENT (Effective fr audits f financial statements fr perids beginning n r

More information

NHPCO Guidelines for Using CAHPS Hospice Survey Results

NHPCO Guidelines for Using CAHPS Hospice Survey Results Intrductin NHPCO Guidelines fr Using CAHPS Hspice Survey Results The Centers fr Medicare and Medicaid Services (CMS) has develped the Cnsumer Assessment f Healthcare Prviders and Systems (CAHPS ) Hspice

More information

CCHIIM ICD-10 Continuing Education Requirements for AHIMA Certified Professionals (& Frequently Asked Questions for Recertification)

CCHIIM ICD-10 Continuing Education Requirements for AHIMA Certified Professionals (& Frequently Asked Questions for Recertification) CCHIIM ICD-10 Cntinuing Educatin Requirements fr AHIMA Certified Prfessinals (& Frequently Asked Questins fr Recertificatin) The transitin t ICD-10-CM and ICD-10-PCS is anticipated t imprve the capture

More information

ITIL V3 Service Offerings and Agreements (SOA) Certification Program - 5 Days

ITIL V3 Service Offerings and Agreements (SOA) Certification Program - 5 Days ITIL V3 Service Offerings and Agreements (SOA) Certificatin Prgram - 5 Days Prgram Overview The ITIL Intermediate Qualificatin: Service Offerings and Agreements (SOA) Certificate, althugh a stand alne

More information

MEASUREMENT INTRODUCTION

MEASUREMENT INTRODUCTION INTRODUCTION : Measurement is designed t prvide quick practice and review pprtunities fr students with learning differences. Each f the 180 warm-up activities has clear and simple directins. The practice

More information

Succession Planning & Leadership Development: Your Utility s Bridge to the Future

Succession Planning & Leadership Development: Your Utility s Bridge to the Future Successin Planning & Leadership Develpment: Yur Utility s Bridge t the Future Richard L. Gerstberger, P.E. TAP Resurce Develpment Grup, Inc. 4625 West 32 nd Ave Denver, CO 80212 ABSTRACT A few years ag,

More information

Chapter 3: Cluster Analysis

Chapter 3: Cluster Analysis Chapter 3: Cluster Analysis 3.1 Basic Cncepts f Clustering 3.1.1 Cluster Analysis 3.1. Clustering Categries 3. Partitining Methds 3..1 The principle 3.. K-Means Methd 3..3 K-Medids Methd 3..4 CLARA 3..5

More information

Key Steps for Organizations in Responding to Privacy Breaches

Key Steps for Organizations in Responding to Privacy Breaches Key Steps fr Organizatins in Respnding t Privacy Breaches Purpse The purpse f this dcument is t prvide guidance t private sectr rganizatins, bth small and large, when a privacy breach ccurs. Organizatins

More information

Undergraduate Degree Program Assessment Progress Report Cover Sheet

Undergraduate Degree Program Assessment Progress Report Cover Sheet Undergraduate Degree Prgram Assessment Prgress Reprt Cver Degree: BA Prfessinal and Technical Writing Fr Calendar Year: 2014 (Date submitted t cllege cmmittee:) 2-20-2015 (Date psted n cllege assessment

More information

GOLDBLUM & HESS Attorneys at Law

GOLDBLUM & HESS Attorneys at Law GOLDBLUM & HESS Attrneys at Law PRACTICE LIMITED TO IMMIGRATION, NATIONALITY, AND CONSULAR LAW Jane W. Gldblum* Wendy Castr Hess** 101 GREENWOOD AVENUE PHONE: (215) 885-3600 JENKINTOWN PLAZA, SUITE 380

More information

Access EEC s Web Applications... 2 View Messages from EEC... 3 Sign In as a Returning User... 3

Access EEC s Web Applications... 2 View Messages from EEC... 3 Sign In as a Returning User... 3 EEC Single Sign In (SSI) Applicatin The EEC Single Sign In (SSI) Single Sign In (SSI) is the secure, nline applicatin that cntrls access t all f the Department f Early Educatin and Care (EEC) web applicatins.

More information

1.3. The Mean Temperature Difference

1.3. The Mean Temperature Difference 1.3. The Mean Temperature Difference 1.3.1. The Lgarithmic Mean Temperature Difference 1. Basic Assumptins. In the previus sectin, we bserved that the design equatin culd be slved much easier if we culd

More information

Marketing Consultancy Division (MCD) Export Consultancy Unit (ECU) Export in Focus. Export Market Expansion Strategies. Rabi-I, 1427 (April, 2006)

Marketing Consultancy Division (MCD) Export Consultancy Unit (ECU) Export in Focus. Export Market Expansion Strategies. Rabi-I, 1427 (April, 2006) Marketing Cnsultancy Divisin (MCD) Exprt Cnsultancy Unit (ECU) Exprt in Fcus Exprt Market Expansin Strategies Rabi-I, 1427 (April, 2006) 1 Exprt Market Expansin Strategies Intrductin It is clear that glbalizatin

More information

CMS Eligibility Requirements Checklist for MSSP ACO Participation

CMS Eligibility Requirements Checklist for MSSP ACO Participation ATTACHMENT 1 CMS Eligibility Requirements Checklist fr MSSP ACO Participatin 1. General Eligibility Requirements ACO participants wrk tgether t manage and crdinate care fr Medicare fee-fr-service beneficiaries.

More information

CSE 231 Fall 2015 Computer Project #4

CSE 231 Fall 2015 Computer Project #4 CSE 231 Fall 2015 Cmputer Prject #4 Assignment Overview This assignment fcuses n the design, implementatin and testing f a Pythn prgram that uses character strings fr data decmpressin. It is wrth 45 pints

More information

Why Can t Johnny Encrypt? A Usability Evaluation of PGP 5.0 Alma Whitten and J.D. Tygar

Why Can t Johnny Encrypt? A Usability Evaluation of PGP 5.0 Alma Whitten and J.D. Tygar Class Ntes: February 2, 2006 Tpic: User Testing II Lecturer: Jeremy Hyland Scribe: Rachel Shipman Why Can t Jhnny Encrypt? A Usability Evaluatin f PGP 5.0 Alma Whitten and J.D. Tygar This article has three

More information

Student Learning Objectives Assessment Report Criminal Justice Program. June 1, 2015

Student Learning Objectives Assessment Report Criminal Justice Program. June 1, 2015 Student Learning Objectives Assessment Reprt Criminal Justice Prgram June 1, 2015 Objectives & Curriculum Objective Mapping See attached revised Criminal Justice Assessment Mapping Tl (revised Spring 2014)

More information

Systems Support - Extended

Systems Support - Extended 1 General Overview This is a Service Level Agreement ( SLA ) between and the Enterprise Windws Services t dcument: The technlgy services the Enterprise Windws Services prvides t the custmer. The targets

More information

Disk Redundancy (RAID)

Disk Redundancy (RAID) A Primer fr Business Dvana s Primers fr Business series are a set f shrt papers r guides intended fr business decisin makers, wh feel they are being bmbarded with terms and want t understand a cmplex tpic.

More information

System Business Continuity Classification

System Business Continuity Classification System Business Cntinuity Classificatin Business Cntinuity Prcedures Infrmatin System Cntingency Plan (ISCP) Business Impact Analysis (BIA) System Recvery Prcedures (SRP) Cre Infrastructure Criticality

More information

Post-Baccalaureate Certificate Programs

Post-Baccalaureate Certificate Programs Pst-Baccalaureate Certificate Prgrams Certificate prgrams benefit students and/r interest by prviding greater flexibility and brader training in areas related t the students' majr fields and making thse

More information

Exercise 6: Gene Ontology Analysis

Exercise 6: Gene Ontology Analysis Overview: Intrductin t Systems Bilgy Exercise 6: Gene Ontlgy Analysis Gene Ontlgy (GO) is a useful resurce in biinfrmatics and systems bilgy. GO defines a cntrlled vcabulary f terms in bilgical prcess,

More information

Business Continuity Management Systems Foundation Training Course

Business Continuity Management Systems Foundation Training Course Certificatin criteria fr Business Cntinuity Management Systems Fundatin Training Curse CONTENTS 1. INTRODUCTION 2. LEARNING OBJECTIVES 3. ENABLING OBJECTIVES KNOWLEDGE & SKILLS 4. TRAINING METHODS 5. COURSE

More information

ITIL Release Control & Validation (RCV) Certification Program - 5 Days

ITIL Release Control & Validation (RCV) Certification Program - 5 Days ITIL Release Cntrl & Validatin (RCV) Certificatin Prgram - 5 Days Prgram Overview ITIL is a set f best practices guidance that has becme a wrldwide-adpted framewrk fr Infrmatin Technlgy Services Management

More information

Hearing Loss Regulations Vendor information pack

Hearing Loss Regulations Vendor information pack Hearing Lss Regulatins Vendr infrmatin pack Nvember 2010 Implementing the Accident Cmpensatin (Apprtining Entitlements fr Hearing Lss) Regulatins 2010 The Minister fr ACC, the Hn. Dr Nick Smith, has annunced

More information

Point2 Property Manager Quick Setup Guide

Point2 Property Manager Quick Setup Guide Click the Setup Tab Mst f what yu need t get started using Pint 2 Prperty Manager has already been taken care f fr yu. T begin setting up yur data in Pint2 Prperty Manager, make sure yu have cmpleted the

More information

CCHIIM ICD-10 Continuing Education Requirements for AHIMA Certified Professionals (& Frequently Asked Questions for Recertification)

CCHIIM ICD-10 Continuing Education Requirements for AHIMA Certified Professionals (& Frequently Asked Questions for Recertification) CCHIIM ICD-10 Cntinuing Educatin Requirements fr AHIMA Certified Prfessinals (& Frequently Asked Questins fr Recertificatin) The transitin t ICD-10-CM and ICD-10-PCS is anticipated t imprve the capture

More information

4370.4 REV-1. cash flows from operating activities, cash flows from investing activities, and cash flows from financing activities.

4370.4 REV-1. cash flows from operating activities, cash flows from investing activities, and cash flows from financing activities. CHAPTER 5 STATEMENT OF CASH FLOWS IN DETAIL 5-1 Cash is the lifebld f any nging cncern. Cash is INTRODUCTION the fuel that keeps the business aflat. As was stated in Chapter 2, the Balance Sheet and the

More information

In this chapter, you will learn to use net present value analysis in cost and price analysis.

In this chapter, you will learn to use net present value analysis in cost and price analysis. 9.0 - Chapter Intrductin In this chapter, yu will learn t use net present value analysis in cst and price analysis. Time Value f Mney. The time value f mney is prbably the single mst imprtant cncept in

More information

CDC UNIFIED PROCESS PRACTICES GUIDE

CDC UNIFIED PROCESS PRACTICES GUIDE Dcument Purpse The purpse f this dcument is t prvide guidance n the practice f Risk Management and t describe the practice verview, requirements, best practices, activities, and key terms related t these

More information

efusion Table of Contents

efusion Table of Contents efusin Cst Centers, Partner Funding, VAT/GST and ERP Link Table f Cntents Cst Centers... 2 Admin Setup... 2 Cst Center Step in Create Prgram... 2 Allcatin Types... 3 Assciate Payments with Cst Centers...

More information

1 GETTING STARTED. 5/7/2008 Chapter 1

1 GETTING STARTED. 5/7/2008 Chapter 1 5/7/2008 Chapter 1 1 GETTING STARTED This chapter intrduces yu t the web-based UIR menu system. Infrmatin is prvided abut the set up necessary t assign users permissin t enter and transmit data. This first

More information

CERTIFICATION CRITERIA

CERTIFICATION CRITERIA 2014 Editin Test Prcedure fr 170.314(a)(1) Cmputerized prvider rder entry Apprved Test Prcedure Versin 1.3, December 19, 2014 Test Prcedure fr 170.314(a)(1) Cmputerized prvider rder entry This dcument

More information

LeadStreet Broker Guide

LeadStreet Broker Guide RE/MAX f Western Canada LeadStreet Brker Guide Ver. 2.0 Revisin Histry Name Date Versin Descriptin Tamika Anglin 09/04/13 1.0 Initial Creatin Tamika Anglin 11/05/13 2.0 Inclusin f instructins n reprting

More information

Request for Proposal (RFP) RFP HQ2015-01 Training Session and Leadership Program Development Consulting Services

Request for Proposal (RFP) RFP HQ2015-01 Training Session and Leadership Program Development Consulting Services technserve.rg Date: January 5, 2014 Request fr Prpsal (RFP) RFP HQ2015-01 Training Sessin and Leadership Prgram Develpment Cnsulting Services Subject: Request fr Prpsal TechnServe Inc. (TNS) invites yu

More information

INTERMEDIATE CAD FILE MANAGEMENT

INTERMEDIATE CAD FILE MANAGEMENT INTERMEDIATE CAD FILE MANAGEMENT Intrductin File mismanagement is the dwnfall f many brilliant individuals. If yu are wise, yu wn't be ne f the peple wh meet disaster due t pr file management. Cmputers

More information

To transform information into knowledge- a firm must expend additional resources to discover, patterns, rules, and context where the knowledge works

To transform information into knowledge- a firm must expend additional resources to discover, patterns, rules, and context where the knowledge works Chapter 15- Managing Knwledge Knwledge Management Landscape Knwledge management systems- supprt the creatin, capture, strage, and disseminatin f firm expertise and knwledge, have becme ne f the fastest-grwing

More information

Case Study Law Firm Profit and Growth LBMS Transforms a Major Law Firm s Market Expansion & Increased Profitability Vision into Reality

Case Study Law Firm Profit and Growth LBMS Transforms a Major Law Firm s Market Expansion & Increased Profitability Vision into Reality Case Study Law Firm Prfit and Grwth LBMS Transfrms a Majr Law Firm s Market Expansin & Increased Prfitability Visin int Reality Cpyright 2011 Elegrity Incrprated. All rights reserved. N part f this dcument

More information

UNCITRAL COLLOQIUM ON FINANCING INTELLECTUAL PROPERTY ASSETS. (by: Kiriakoula Hatzikiriakos, McMillan Binch Mendelsohn)

UNCITRAL COLLOQIUM ON FINANCING INTELLECTUAL PROPERTY ASSETS. (by: Kiriakoula Hatzikiriakos, McMillan Binch Mendelsohn) UNCITRAL COLLOQIUM ON FINANCING INTELLECTUAL PROPERTY ASSETS (by: Kiriakula Hatzikiriaks, McMillan Binch Mendelshn) The purpse f this paper is t highlight sme issues and recmmendatins t be cnsidered during

More information

ITIL V3 Planning, Protection and Optimization (PPO) Certification Program - 5 Days

ITIL V3 Planning, Protection and Optimization (PPO) Certification Program - 5 Days ITIL V3 Planning, Prtectin and Optimizatin (PPO) Certificatin Prgram - 5 Days Prgram Overview The ITIL Intermediate Qualificatin: Planning, Prtectin and Optimizatin (PPO) Certificate is a free-standing

More information

Request for Proposal. Saskatchewan Arts Board. Database Development. RFP Reference Number S AB-ADMIN001. Release Date Februar y 9, 2016

Request for Proposal. Saskatchewan Arts Board. Database Development. RFP Reference Number S AB-ADMIN001. Release Date Februar y 9, 2016 Request fr Prpsal Saskatchewan Arts Bard Database Develpment RFP Reference Number S AB-ADMIN001 Release Date Februar y 9, 2016 Clsing Date March 1, 2016 Clsing Time 2:00 pm, Lcal Sask. Time Page 2 f 7

More information

Trends and Considerations in Currency Recycle Devices. What is a Currency Recycle Device? November 2003

Trends and Considerations in Currency Recycle Devices. What is a Currency Recycle Device? November 2003 Trends and Cnsideratins in Currency Recycle Devices Nvember 2003 This white paper prvides basic backgrund n currency recycle devices as cmpared t the cmbined features f a currency acceptr device and a

More information

Title IV Refund Policy (R2T4)

Title IV Refund Policy (R2T4) Title IV Refund Plicy (R2T4) Charter Oak State Cllege s revised Refund Plicy cmplies with the amended 34 CFR Sectin 668.22 f the Higher Educatin Amendment f 1998. This plicy reflects new regulatins that

More information

THE EMPLOYMENT LAW DISPUTE SPECIALISTS DAMAGES BASED AGREEMENT. Your Employment Tribunal claim relating to your employment with...

THE EMPLOYMENT LAW DISPUTE SPECIALISTS DAMAGES BASED AGREEMENT. Your Employment Tribunal claim relating to your employment with... THE EMPLOYMENT LAW DISPUTE SPECIALISTS DAMAGES BASED AGREEMENT 1. What is cvered by this agreement Yur Emplyment Tribunal claim relating t yur emplyment with... 2. What is nt cvered by this agreement 2.1

More information

TRAINING GUIDE. Crystal Reports for Work

TRAINING GUIDE. Crystal Reports for Work TRAINING GUIDE Crystal Reprts fr Wrk Crystal Reprts fr Wrk Orders This guide ges ver particular steps and challenges in created reprts fr wrk rders. Mst f the fllwing items can be issues fund in creating

More information

Revised October 27, 2011 Page 1 of 6

Revised October 27, 2011 Page 1 of 6 Keystne STARS Accreditatin Applicatin Philsphy The Keystne STARS prgram is Pennsylvania s QRIS which began in 2002. There are fur quality levels frm STAR 1 t STAR 4, each level building n the prir levels;

More information

A Model for Automatic Preventive Maintenance Scheduling and Application Database Software

A Model for Automatic Preventive Maintenance Scheduling and Application Database Software Prceedings f the 2010 Internatinal Cnference n Industrial Engineering and Operatins Management Dhaka, Bangladesh, January 9 10, 2010 A Mdel fr Autmatic Preventive Maintenance Scheduling and Applicatin

More information

Importance and Contribution of Software Engineering to the Education of Informatics Professionals

Importance and Contribution of Software Engineering to the Education of Informatics Professionals Imprtance and Cntributin f Sftware Engineering t the Educatin f Infrmatics Prfessinals Dr. Tick, József Budapest Plytechnic, Hungary, tick@bmf.hu Abstract: As a result f the Blgna prcess a new frm f higher

More information

WINDOW REPLACEMENT Survey

WINDOW REPLACEMENT Survey WINDOW REPLACEMENT Prperty wners and develpers undertaking rehabilitatin prjects fr bth Tax Act Certificatin and Sectin 106 Cmpliance are encuraged t repair and retain existing histric windws. Hwever,

More information

Aese. -z-62. PERFORMANCE GUIDELINES FOR TENURE AND PROMOTION. Department of Online Nursing. Approved by Tenured Faculty February 18, 2014

Aese. -z-62. PERFORMANCE GUIDELINES FOR TENURE AND PROMOTION. Department of Online Nursing. Approved by Tenured Faculty February 18, 2014 PERFORMANCE GUIDELINES FOR TENURE AND PROMOTION Department f Online Nursing Apprved by Tenured Faculty February 18, 2014 Department Chair Signature Reviewed by Dean Aese. -z-62. Signatur Intrductin COLLEGE

More information

Environmental Science

Environmental Science Envirnmental Science Rbert Fuhrman rfuhrman@cvenantschl.rg 434.220.7335 Curse Descriptin: This curse is an interdisciplinary apprach t the study f Earth s ecsystems and the interactins f man with the natural

More information

HEALTH INFORMATION EXCHANGE GRANTS CRITERIA

HEALTH INFORMATION EXCHANGE GRANTS CRITERIA 1 HEALTH INFORMATION EXCHANGE GRANTS CRITERIA INTRODUCTION On August, 20 th, the federal Office f the Natinal Crdinatr fr Health Infrmatin Technlgy (ONC) released an pprtunity fr states t apply fr between

More information

Audit Committee Charter. St Andrew s Insurance (Australia) Pty Ltd St Andrew s Life Insurance Pty Ltd St Andrew s Australia Services Pty Ltd

Audit Committee Charter. St Andrew s Insurance (Australia) Pty Ltd St Andrew s Life Insurance Pty Ltd St Andrew s Australia Services Pty Ltd Audit Cmmittee Charter St Andrew s Insurance (Australia) Pty Ltd St Andrew s Life Insurance Pty Ltd St Andrew s Australia Services Pty Ltd Versin 2.0, 22 February 2016 Apprver Bard f Directrs St Andrew

More information

PART 6. Chapter 12. How to collect and use feedback from readers. Should you do audio or video recording of your sessions?

PART 6. Chapter 12. How to collect and use feedback from readers. Should you do audio or video recording of your sessions? TOOLKIT fr Making Written Material Clear and Effective SECTION 3: Methds fr testing written material with readers PART 6 Hw t cllect and use feedback frm readers Chapter 12 Shuld yu d audi r vide recrding

More information

Introduction... 2. 1. Identify Projects for Inclusion in HMIS... 3. 2. Identify Funding Components for each Project... 3

Introduction... 2. 1. Identify Projects for Inclusion in HMIS... 3. 2. Identify Funding Components for each Project... 3 Table f Cntents Intrductin... 2 HMIS Prject Setup Steps... 3 1. Identify Prjects fr Inclusin in HMIS... 3 2. Identify Funding Cmpnents fr each Prject... 3 3. Set Up Prjects in HMIS... 4 Data Cllectin Requirements...

More information

COE: Hybrid Course Request for Proposals. The goals of the College of Education Hybrid Course Funding Program are:

COE: Hybrid Course Request for Proposals. The goals of the College of Education Hybrid Course Funding Program are: COE: Hybrid Curse Request fr Prpsals The gals f the Cllege f Educatin Hybrid Curse Funding Prgram are: T supprt the develpment f effective, high-quality instructin that meets the needs and expectatins

More information

For both options: Please consult the Unisa website for admission requirements

For both options: Please consult the Unisa website for admission requirements The Department f Industrial and Organisatinal Psychlgy ffers prspective master s students tw ptins twards btaining a master s degree in Industrial and Organisatinal Psychlgy, namely, a cursewrk ptin and

More information

Change Management Process

Change Management Process Change Management Prcess B1.10 Change Management Prcess 1. Intrductin This plicy utlines [Yur Cmpany] s apprach t managing change within the rganisatin. All changes in strategy, activities and prcesses

More information

Internal Audit Charter and operating standards

Internal Audit Charter and operating standards Internal Audit Charter and perating standards 2 1 verview This dcument sets ut the basis fr internal audit: (i) the Internal Audit charter, which establishes the framewrk fr Internal Audit; and (ii) hw

More information

Criminal Justice Student Association (CJSA) Constitution/Bylaws

Criminal Justice Student Association (CJSA) Constitution/Bylaws Criminal Justice Student Assciatin (CJSA) Cnstitutin/Bylaws Article I: NAME The name f this rganizatin shall be the Criminal Justice Student Assciatin (CJSA), hereinafter referred t as CJSA r Assciatin.

More information

Improved Data Center Power Consumption and Streamlining Management in Windows Server 2008 R2 with SP1

Improved Data Center Power Consumption and Streamlining Management in Windows Server 2008 R2 with SP1 Imprved Data Center Pwer Cnsumptin and Streamlining Management in Windws Server 2008 R2 with SP1 Disclaimer The infrmatin cntained in this dcument represents the current view f Micrsft Crpratin n the issues

More information

Backups and Backup Strategies

Backups and Backup Strategies IT Security Office Versin 2.3 02/19/10 Backups and Backup Strategies IT managers need t plan fr backups in terms f time and space required. Hwever, mst mdern backup sftware can cmpress the backup files

More information

Australian Institute of Psychology. Human Research Ethics Committee. Terms of Reference

Australian Institute of Psychology. Human Research Ethics Committee. Terms of Reference Australian Institute f Psychlgy Human Research Ethics Cmmittee Terms f Reference What is research? Accrding t the Natinal Statement research... is widely understd t include at least investigatin undertaken

More information

Experiment 1: Freezing Point Depression

Experiment 1: Freezing Point Depression Experiment 1: Freezing Pint Depressin Purpse: The purpse f this lab is t experimentally determine the freezing pint f tw slutins and cmpare the effect f slute type and cncentratin fr each slutin. Intrductin:

More information

Privacy Breach and Complaint Protocol

Privacy Breach and Complaint Protocol Privacy Breach and Cmplaint Prtcl Effective: December 31, 2012 Apprved by: Le McKenna, CFO 1.0 General Privacy breaches and privacy cmplaints will be handled in accrdance with this prtcl. This prtcl is

More information

WHITEPAPER SERIES. info@metavistech.com 610.717.0413 www.metavistech.com

WHITEPAPER SERIES. info@metavistech.com 610.717.0413 www.metavistech.com WHITEPAPER SERIES Shredded Strage in SharePint 2013 What des Shredded Strage mean, hw much des it actually save and hw t take advantage f it in SharePint 2013. What is Shredded Strage? Shredded Strage

More information

Document Management Versioning Strategy

Document Management Versioning Strategy 1.0 Backgrund and Overview Dcument Management Versining Strategy Versining is an imprtant cmpnent f cntent creatin and management. Versin management is a key cmpnent f enterprise cntent management. The

More information

Computer Science Undergraduate Scholarship

Computer Science Undergraduate Scholarship Cmputer Science Undergraduate Schlarship R E G U L A T I O N S The Cmputer Science Department at the University f Waikat runs an annual Schlarship examinatin which ffers up t 10 undergraduate Schlarships

More information

Graduate Faculty Committee Doc. No. 1127 Approved January 26, 2009

Graduate Faculty Committee Doc. No. 1127 Approved January 26, 2009 Graduate Faculty Cmmittee Dc. N. 1127 Apprved January 26, 2009 RECOMMENDATION OF THE SUBCOMMITTEE ON GRADUATE COURSE AND CURRICULUM AND THE FACULTY OF THE SCHOOL OF EDUCATION FOR AN ENTITLEMENT TO PLAN

More information

Overview of the Final Requirements for Meaningful Use - 2015 through 2017

Overview of the Final Requirements for Meaningful Use - 2015 through 2017 Overview f the Final Requirements fr Meaningful Use - 2015 thrugh 2017 On Oct. 6, 2015, the Centers fr Medicare & Medicaid Services (CMS) issued a final rule utlining the requirements fr eligible prfessinal

More information

VIRTUAL TEAM LEARNING IN ONLINE MBA EDUCATION: AN EMPIRICAL INVESTIGATION

VIRTUAL TEAM LEARNING IN ONLINE MBA EDUCATION: AN EMPIRICAL INVESTIGATION VIRTUAL TEAM LEARNING IN ONLINE MBA EDUCATION: AN EMPIRICAL INVESTIGATION Wayne Huang, Ohi University, huangw@hi.edu Thm Luce, Ohi University, luce@hi.edu Yng Lu, Ohi University, yng.lu.1@hi.edu ABSTRACT

More information

Johnson State College External Degree Program. PSY-3230-JY01 Psychology of Gender Syllabus Fall 2015

Johnson State College External Degree Program. PSY-3230-JY01 Psychology of Gender Syllabus Fall 2015 Jhnsn State Cllege External Degree Prgram PSY-3230-JY01 Psychlgy f Gender Syllabus Fall 2015 Instructr: Valerie Skinner Welter PO Bx 23 Waitsfield, VT 05673 (802) 279-4611 valerie.welter@jsc.edu (preferred

More information