An Undergraduate Curriculum Evaluation with the Analytic Hierarchy Process

Save this PDF as:
 WORD  PNG  TXT  JPG

Size: px
Start display at page:

Download "An Undergraduate Curriculum Evaluation with the Analytic Hierarchy Process"

Transcription

1 An Undergrdute Curriculum Evlution with the Anlytic Hierrchy Process Les Frir Jessic O. Mtson Jck E. Mtson Deprtment of Industril Engineering P.O. Box University of Albm Tuscloos, AL Abstrct - An undergrdute curriculum committee hs developed the use of the Anlytic Hierrchy Process (AHP) for the evlution of lterntive curriculum designs. The hierrchy consists of four levels of interction - from the top most objective through ffected prties (students, fculty, employers, etc.), curriculum components (design, science, mth, etc.), to curriculum lterntives t the bottom. An internet web site hs been designed nd is being implemented to collect AHP judgments from the ffected prties. This collected informtion cn then be used to rnk the vrious curriculum lterntives generted by the committee nd others. AHP cn be chrcterized s multi-criteri decision technique in which qulittive fctors re of prime importnce. A model of the problem (undergrdute curriculum design) is developed using hierrchicl representtion. At the top of the hierrchy is the overll gol or prime objective one is seeking to fulfill. The succeeding lower levels then represent the progressive decomposition of the problem. Knowledgeble prties complete pir-wise comprison of ll entries in ech level reltive to ech of the entries in the next higher level of the hierrchy. The composition of these judgments fixes the reltive priority of the entities t the lowest level (curriculum lterntives) reltive to chieving the top-most objective. A description of AHP development for this curriculum design problem is provided. The implementtion of n internet web site to collect the AHP judgments is detiled. Finlly the combintion of the vrious AHP inputs for the rnking of the curriculum lterntives is discussed. Introduction The orgniztion for this pper is tht first the Anlytic Hierrchy Process (AHP) is described in sufficient detil so tht the reder cn understnd the motivtion nd methodology of this technique. Next the curriculum committee's use of AHP to evlute severl different curriculum designs is detiled. This section lso describes the methodology followed in generting the curriculum lterntives. In ending, this pper describes severl complicting fctors ssocited with this experiment, some tenttive conclusions nd recommendtion for continued investigtion of the use of AHP for such evlutions. The Anlytic Hierrchy Process (AHP) This technique is especilly suited for ppliction to problem evlutions in which qulittive fctors dominte. It cn be chrcterized s multi-criteri decision technique tht cn combine qulittive nd quntittive fctors in the overll evlution of lterntives. This section provides n introduction to AHP with n emphsis on the presenttion of the generl methodology. No ttempt is mde to provide the mthemticl foundtions for AHP; rther the interested reder is referred to [1] nd [2]. AHP determines the priority ny lterntive hs on the overll gol of the problem of interest. The nlyst/user cretes model of the problem by developing hierrchicl decomposition representtion. At the top of the hierrchy is the overll gol or prime objective one is seeking to fulfill. The succeeding lower levels then represent the progressive decomposition of the problem. The nlyst, or other knowledgeble prty, completes pir-wise comprison of ll elements in ech level reltive to ech of the progrm elements in the next higher level of the hierrchy. The composition of these judgments fixes the reltive priority of elements in the lowest level (usully solution lterntives) reltive to chieving the top-most objective. Four Steps re used to solve problem with the AHP methodology: 1. Build decision "hierrchy" by breking the generl problem into individul criteri. (User/Anlyst Modeling Phse)

2 2. Gther reltionl dt for the decision criteri nd lterntives nd encode using the AHP reltionl scle [see following exmple]. (User/Anlyst pirwise comprison input) 3. Estimte the reltive priorities (weights) of the decision criteri nd lterntives (AHP softwre [3], [4] or PC-spredsheet [5]). 4. Perform composition of priorities for the criteri, which gives the rnk of the lterntives (usully lowest level of hierrchy) reltive to the top-most objective (AHP softwre or spredsheet). Mny exmple pplictions of AHP cn be found in the literture. See, for instnce, [1] nd [2]. The AHP steps described bove cn be best understood through discussion of n exmple ppliction. Consider the exmple hierrchy of figure 1. In this exmple the decision problem is to determine the best contrctor for the procurement of prticulr system. Such considertion my hve been necessitted by the ssocited cost proposls being judged to be equl. The non-quntittive considertions (s displyed in the bove figure) re sfety, performnce nd relibility/mintinbility. AHP will be utilized to determine the highest-rnking contrctor bsed on these non-quntittive considertions. This determintion will be bsed on the subjective judgment/experience of the decision mker(s). below: Detils of the AHP methodology re presented Step 1. Develop the hierrchicl representtion of the problem. At the top of the hierrchy is the overll objective nd the decision lterntives re t the bottom. Between the top nd bottom levels re the relevnt ttributes of the decision problem, such s selection criteri nd the vrious "ctors " (individuls, gencies nd orgniztions), if pproprite, tht provide significnt input on the decision process. The number of levels in the hierrchy depends on the complexity of the problem nd the nlyst/decision mker s model of the problem hierrchy. Step 2. Generte reltionl dt for compring the lterntives. This requires the nlyst (decision-mker) to mke pirwise comprisons of elements t ech level reltive to ech ctivity t the next higher level in the hierrchy. In the system exmple the importnce of ech criterion reltive to system cceptnce needs to be estblished. In AHP reltionl scle of rel numbers from 1 to 9 is used to systemticlly ssign preferences. When compring two ttributes (or lterntives) A nd B, with respect to n ttribute U, in higher level, the following numericl reltionl scle is used: 1 - A hs the sme importnce s B with respect to U 3 - A hs slightly more importnce thn B with respect to U. 5 - A hs more importnce thn B with respect to U. 7 - A hs lot more importnce thn B with respect to U. 9 - A totlly domintes B with respect to U. 1/3 - B hs slightly more importnce thn A with respect to U. 1/5 - B hs more importnce thn A with respect to U. 1/7 - B hs lot more importnce thn A with respect to U. 1/9 - B totlly domintes A with respect to U. Intermedite numbers re used for finer resolution. Step 3 Utilizing the pirwise comprisons of step 2 n eigenvlue method (mthemticl pproch used by AHP-see [1]) is used to determine the reltive priority of ech ttribute to ech ttribute one level up in the hierrchy. In ddition, "consistency rtio" is clculted nd displyed. According to Sty [1], smll consistency rtios (less thn 0.1 is the suggested rule-of-thumb) do not drsticlly ffect the rtings. The user hs the option of redoing the comprison mtrix if desired. Step 4 In this step, the priorities (or weights) of the lowest level lterntives reltive to the top most objective re determined nd displyed. For the exmple system hierrchy (bove) the AHP vlues re given in figure 2. We see from the overll priorities (figure 2) tht contrctors 1 nd 2 re pproximtely tied for best wheres contrctor 3 does not pper to be competitive. AHP fcilittes comprehensive nd logicl nlysis of problems for which considerble uncertinty exists. If fct, the power of AHP (nd to lrge degree its uniqueness) is being ble to consider qulittive gols nd ttributes within its frmework. The method of pirwise comprisons is systemtic nd comprehensive. One might wnt to repet set of pirwise comprisons if the consistency rtio is lrmingly high. The finl output from the AHP softwre is the reltive priorities of the bottom most (in the hierrchy) lterntives reltive to the overll objective (top level of hierrchy).

3 AHP Use in Curriculum Design During the cdemic yer the uthors, s members of n undergrdute curriculum committee, were chrged with developing new Industril Engineering (IE) curriculum. This new curriculum should stisfy ABET 2000 criteri, University core curriculum requirements s well s providing contemporry tretment of pproprite subjects within "resonble number" of required credits. The following ctions were tken to comply with this chrge: 1. The IE curriculum gols nd objectives were developed utilizing the gols nd objectives we hd developed for our lst ABET visit (1995), ABET 2000 criteri, review of other progrms gols nd objectives nd input from fculty nd lumni. 2. A detiled survey of the composition of IE curriculums t 29 different schools ws conducted. Detils on curriculum composition t these 29 schools in the generl res of mth, nturl sciences, written nd orl communiction, humnities nd socil sciences, generl engineering topics, nd industril engineering courses were tbulted nd summrized. 3. Armed with the informtion from steps 1-2 bove this curriculum committee estblished the gol of producing n effective IE curriculum tht required less thn 130 semester hour credits. Our current curriculum requires 133 credit hours. This decision ws lso influenced by other UA engineering deprtments recently estblishing curriculums requiring less thn 130 credit hours (e.g. Mechnicl Engineering chnged this yer to curriculum of 128 credit hours). 1. After delibertion the committee decided to generte t lest three different curriculum lterntives for evlution. Tht is, we would consider curriculums tht hd the following orienttions: mnufcturing engineering engineering mngement generl industril engineering The mnufcturing engineering focused curriculum would require considerbly more mnufcturing engineering courses from the mechnicl nd industril engineering deprtments. The engineering mngement lterntive not only would require dditionl courses from the college of business dministrtion but lso would result in the students being wrded minor in business dministrtion long with the BSIE. The generl IE curriculum is most like our existing curriculum but does reflect the findings of 1-3 bove. The next step ws to develop the hierrchy for the lterntive curriculum evlutions. Figure 3 presents this hierrchy. In figure 3 we hve s: Level 1: Top Most Objective---An IE undergrdute curriculum recognized s excellent by ll ffected prties Level 2: Affected Prties Students 2. Fculty 3. Alumni 4. ABET 5. University 6. Employers 7. IE Community Level 3: Curriculum Components Mth 2. Bsic Sciences 3. Engineering Topics (other thn IE) 4. IE Topics 5. Business Topics 6. Humnities, Socil Science & Contemporry Issues 1. Design Opportunities 2. eserch Opportunities 3. Multidisciplinry Opportunities 4. Teming Experiences 5. Engineering Tools 6. Communiction 7. Ethics nd Professionlism 8. Professionl Prctice 9. Lifelong Lerning Level 4: Curriculum Alterntives IE Mnufcturing Alterntive 2. IE Engineering Mngement Alterntive 3. IE Generl Alterntive At the time of submittl of this pper (Mrch 1998) we hve initited the web-bsed implementtion to conduct the AHP ssocited with this problem. We nticipte tht we will hve the softwre in plce by the end of the spring term nd will collect judgments from the ffected prties (listed in level 2 of figure 3) during the summer. Anlysis will be performed during the summer nd this pper updted to reflect these results by

4 erly fll. The results of ll of these ctivities will be reported t presenttion time of this pper. Summry This pper hs described the use of decision-mking technique for curriculum design. The finl effectiveness of this innovtive pproch is yet to be determined but its ppliction hs ssisted the uthors in their job of curriculum design nd nlysis. Just the exercise of constructing the AHP model ws instructive with respect to how curriculum might be evluted from vrious ffected prties points of view. Becuse of the nture of AHP we should be ssured of receiving individully consistent dt tht cn be exmined to determine the reltive priority of the three curriculum designs. In ddition, the nlysis should serve s sensitivity tool s we combine judgments from the vrious ffected prties. eferences 1. Sty, Thoms, L., The Anlytic Hierrchy Process, 1980,McGrw-Hill Co., New York, NY. 2. Sty, Thoms, L., "How to Mke Decision: The Anlytic Hierrchy Process", Europen Journl of Opertions eserch 48 (1990), pp Expert Choice softwre vilble from Expert Choice Inc., Pittsburgh, PA. 4. HIPE 3+ softwre vilble from Snt Monic Softwre, Mlibu, CA. 5. Winston, Wyne, L., Opertions eserch: Applictions nd Algorithms, pp , 2nd Edition, Duxbury Press, System Acceptnce Level 1 Sfety elibility & Mintennce Performnce Level 2 Contrctor 1 Contrctor 2 Contrctor 3 Level 3 Figure 1. An Exmple AHP

5 FOCUS: Acceptnce Pirwise Comprison Mtrix /5 1 1/ FOCUS: Sfety Priorities Pirwise Comprison Mtrix Priorities 1 1/5 1/ / OVEALL PIOITIES t i o FOCUS: elibility & Mintennce FOCUS: Performnce t Pirwise t Pirwise t i Comprison i Comprison i o Mtrix Priorities o Mtrix Priorities o /2 1 1/ / / Figure 2. AHP esults for Exmple System An IE undergrdute curriculum recognized s excellent by ll ffected prties Students Fculty Alumni ABET University Employers IE Community

6 IE -Mnufcturing Curriculum IE- Engineering Mgt Curriculum IE- Generl Curriculum Figure 3 AHP Hierrchy for Curriculum Design Evlution

Quality Evaluation of Entrepreneur Education on Graduate Students Based on AHP-fuzzy Comprehensive Evaluation Approach ZhongXiaojun 1, WangYunfeng 2

Quality Evaluation of Entrepreneur Education on Graduate Students Based on AHP-fuzzy Comprehensive Evaluation Approach ZhongXiaojun 1, WangYunfeng 2 Interntionl Journl of Engineering Reserch & Science (IJOER) ISSN [2395-6992] [Vol-2, Issue-1, Jnury- 2016] Qulity Evlution of Entrepreneur Eduction on Grdute Students Bsed on AHP-fuzzy Comprehensive Evlution

More information

Application of Analytical Hierarchy Process (AHP) Technique To Evaluate and Selecting Suppliers in an Effective Supply Chain

Application of Analytical Hierarchy Process (AHP) Technique To Evaluate and Selecting Suppliers in an Effective Supply Chain Appliction of Anlyticl Hierrchy Process (AHP) Technique To Evlute nd Selecting Suppliers in n Effective Supply Chin Shhroodi 1*, Kmbiz, Industril Mngement Deprtment, Islmic Azd University (Rsht Brnch),

More information

Portfolio approach to information technology security resource allocation decisions

Portfolio approach to information technology security resource allocation decisions Portfolio pproch to informtion technology security resource lloction decisions Shivrj Knungo Deprtment of Decision Sciences The George Wshington University Wshington DC 20052 knungo@gwu.edu Abstrct This

More information

The usability study details initial testing of the GIMCF-AHP prototype in a practical MADM task or environment.

The usability study details initial testing of the GIMCF-AHP prototype in a practical MADM task or environment. Interctive Web-bsed Anlyticl Hierrchy Process Group Decision Support System Wddh H. Ftny, The School of Computer Science, the University of Mnchester Abstrct This study dels ith the usbility of ne eb bsed

More information

Learner-oriented distance education supporting service system model and applied research

Learner-oriented distance education supporting service system model and applied research SHS Web of Conferences 24, 02001 (2016) DOI: 10.1051/ shsconf/20162402001 C Owned by the uthors, published by EDP Sciences, 2016 Lerner-oriented distnce eduction supporting service system model nd pplied

More information

AN ANALYTICAL HIERARCHY PROCESS METHODOLOGY TO EVALUATE IT SOLUTIONS FOR ORGANIZATIONS

AN ANALYTICAL HIERARCHY PROCESS METHODOLOGY TO EVALUATE IT SOLUTIONS FOR ORGANIZATIONS AN ANALYTICAL HIERARCHY PROCESS METHODOLOGY TO EVALUATE IT SOLUTIONS FOR ORGANIZATIONS Spiros Vsilkos (), Chrysostomos D. Stylios (),(b), John Groflkis (c) () Dept. of Telemtics Center, Computer Technology

More information

Economics Letters 65 (1999) 9 15. macroeconomists. a b, Ruth A. Judson, Ann L. Owen. Received 11 December 1998; accepted 12 May 1999

Economics Letters 65 (1999) 9 15. macroeconomists. a b, Ruth A. Judson, Ann L. Owen. Received 11 December 1998; accepted 12 May 1999 Economics Letters 65 (1999) 9 15 Estimting dynmic pnel dt models: guide for q mcroeconomists b, * Ruth A. Judson, Ann L. Owen Federl Reserve Bord of Governors, 0th & C Sts., N.W. Wshington, D.C. 0551,

More information

Enterprise Risk Management Software Buyer s Guide

Enterprise Risk Management Software Buyer s Guide Enterprise Risk Mngement Softwre Buyer s Guide 1. Wht is Enterprise Risk Mngement? 2. Gols of n ERM Progrm 3. Why Implement ERM 4. Steps to Implementing Successful ERM Progrm 5. Key Performnce Indictors

More information

ClearPeaks Customer Care Guide. Business as Usual (BaU) Services Peace of mind for your BI Investment

ClearPeaks Customer Care Guide. Business as Usual (BaU) Services Peace of mind for your BI Investment ClerPeks Customer Cre Guide Business s Usul (BU) Services Pece of mind for your BI Investment ClerPeks Customer Cre Business s Usul Services Tble of Contents 1. Overview...3 Benefits of Choosing ClerPeks

More information

DlNBVRGH + Sickness Absence Monitoring Report. Executive of the Council. Purpose of report

DlNBVRGH + Sickness Absence Monitoring Report. Executive of the Council. Purpose of report DlNBVRGH + + THE CITY OF EDINBURGH COUNCIL Sickness Absence Monitoring Report Executive of the Council 8fh My 4 I.I...3 Purpose of report This report quntifies the mount of working time lost s result of

More information

JaERM Software-as-a-Solution Package

JaERM Software-as-a-Solution Package JERM Softwre-s--Solution Pckge Enterprise Risk Mngement ( ERM ) Public listed compnies nd orgnistions providing finncil services re required by Monetry Authority of Singpore ( MAS ) nd/or Singpore Stock

More information

Treatment Spring Late Summer Fall 0.10 5.56 3.85 0.61 6.97 3.01 1.91 3.01 2.13 2.99 5.33 2.50 1.06 3.53 6.10 Mean = 1.33 Mean = 4.88 Mean = 3.

Treatment Spring Late Summer Fall 0.10 5.56 3.85 0.61 6.97 3.01 1.91 3.01 2.13 2.99 5.33 2.50 1.06 3.53 6.10 Mean = 1.33 Mean = 4.88 Mean = 3. The nlysis of vrince (ANOVA) Although the t-test is one of the most commonly used sttisticl hypothesis tests, it hs limittions. The mjor limittion is tht the t-test cn be used to compre the mens of only

More information

C-crcs Cognitive - Counselling Research & Conference Services (eissn: 2301-2358)

C-crcs Cognitive - Counselling Research & Conference Services (eissn: 2301-2358) C-crcs Cognitive - Counselling Reserch & Conference Services (eissn: 2301-2358) Volume I Effects of Music Composition Intervention on Elementry School Children b M. Hogenes, B. Vn Oers, R. F. W. Diekstr,

More information

Corporate Compliance vs. Enterprise-Wide Risk Management

Corporate Compliance vs. Enterprise-Wide Risk Management Corporte Complince vs. Enterprise-Wide Risk Mngement Brent Sunders, Prtner (973) 236-4682 November 2002 Agend Corporte Complince Progrms? Wht is Enterprise-Wide Risk Mngement? Key Differences Why Will

More information

How Universities Evaluate Faculty Performance: A Survey of Department Heads

How Universities Evaluate Faculty Performance: A Survey of Department Heads How Universities Evlute Fculty Performnce: A Survey of Deprtment Heds John A. Centr GRE Bord Reserch Report GREB No. br July This report presents the findings of reserch project funded by nd crried out

More information

Vendor Rating for Service Desk Selection

Vendor Rating for Service Desk Selection Vendor Presented By DATE Using the scores of 0, 1, 2, or 3, plese rte the vendor's presenttion on how well they demonstrted the functionl requirements in the res below. Also consider how efficient nd functionl

More information

Multilevel Fuzzy Approach to the Risk and Disaster Management

Multilevel Fuzzy Approach to the Risk and Disaster Management Act Polytechnic Hungric Vol. 7, No. 4, 21 Multilevel Fuzzy Approch to the Risk nd Disster Mngement Márt Tkács John von Neumnn Fculty of Informtics, Óbud University Bécsi út 96/b, H-134 Budpest, Hungry

More information

Performance Evaluation of Academic Libraries Implementation Model

Performance Evaluation of Academic Libraries Implementation Model Performnce Evlution of Acdemic Librries Implementtion Model Luiz Bptist Melo CIDEHUS UE nd Librries of the Fculty of Science, University of Porto (Applied Mthemtics nd Botnicl Deprtments) Ru do Cmpo Alegre,

More information

Small Business Networking

Small Business Networking Why network is n essentil productivity tool for ny smll business Effective technology is essentil for smll businesses looking to increse the productivity of their people nd processes. Introducing technology

More information

Implementation Evaluation Modeling of Selecting ERP Software Based on Fuzzy Theory

Implementation Evaluation Modeling of Selecting ERP Software Based on Fuzzy Theory Implementtion Evlution Modeling of Selecting ERP Softwre Bsed on Fuzzy Theory Xukn Xu 1, Ydong Jing 1 nd Zheng Shi 2 1 Informtion Mngement Deprtment, Chngzhou Cmpus, Hohi University, Chngzhou 213022, Jingsu,

More information

Contextualizing NSSE Effect Sizes: Empirical Analysis and Interpretation of Benchmark Comparisons

Contextualizing NSSE Effect Sizes: Empirical Analysis and Interpretation of Benchmark Comparisons Contextulizing NSSE Effect Sizes: Empiricl Anlysis nd Interprettion of Benchmrk Comprisons NSSE stff re frequently sked to help interpret effect sizes. Is.3 smll effect size? Is.5 relly lrge effect size?

More information

Test Management using Telelogic DOORS. Francisco López Telelogic DOORS Specialist

Test Management using Telelogic DOORS. Francisco López Telelogic DOORS Specialist Test Mngement using Telelogic DOORS Frncisco López Telelogic DOORS Specilist Introduction Telelogic solution for Requirements Mngement DOORS Requirements mngement nd trcebility pltform for complex systems

More information

San Mateo County ACCEL Adult-Education College and Career Educational Leadership AB 86 Adult Education Consortium Project Management Plan 24, 2014 -

San Mateo County ACCEL Adult-Education College and Career Educational Leadership AB 86 Adult Education Consortium Project Management Plan 24, 2014 - A Sn Mteo County ACCEL Adult-Eduction College nd Creer Eductionl Ledership AB 86 Adult Eduction Consortium Project Mngement Pln - Februry 24, 2014 - This project mngement pln presents ACCEL s process frmework

More information

In addition, the following elements form an integral part of the Agency strike prevention plan:

In addition, the following elements form an integral part of the Agency strike prevention plan: UNITED STTES DEPRTMENT OF GRICULTURE Wshington, DC 20250 Federl Grin Inspection Service FGIS Directive 4711.2 6/16/80 STRIKE PREVENTION ND STRIKE CONTINGENCY PLNS I PURPOSE This Instruction: Estlishes

More information

Small Business Networking

Small Business Networking Why network is n essentil productivity tool for ny smll business Effective technology is essentil for smll businesses looking to increse the productivity of their people nd processes. Introducing technology

More information

Numeracy across the Curriculum in Key Stages 3 and 4. Helpful advice and suggested resources from the Leicestershire Secondary Mathematics Team

Numeracy across the Curriculum in Key Stages 3 and 4. Helpful advice and suggested resources from the Leicestershire Secondary Mathematics Team Numercy cross the Curriculum in Key Stges 3 nd 4 Helpful dvice nd suggested resources from the Leicestershire Secondry Mthemtics Tem 1 Contents pge The development of whole school policy 3 A definition

More information

Small Business Networking

Small Business Networking Why network is n essentil productivity tool for ny smll business Effective technology is essentil for smll businesses looking to increse the productivity of their people nd business. Introducing technology

More information

Ridgewood South Natural Areas Priority Evaluation. Background Report

Ridgewood South Natural Areas Priority Evaluation. Background Report Ridgewood South Nturl Ares Priority Evlution Bckground Report September 2013 Ridgewood South Nturl Ares Priority Evlution Bckground Report Ridgewood South Nturl Ares Priority Evlution Bckground Report

More information

Use Geometry Expressions to create a more complex locus of points. Find evidence for equivalence using Geometry Expressions.

Use Geometry Expressions to create a more complex locus of points. Find evidence for equivalence using Geometry Expressions. Lerning Objectives Loci nd Conics Lesson 3: The Ellipse Level: Preclculus Time required: 120 minutes In this lesson, students will generlize their knowledge of the circle to the ellipse. The prmetric nd

More information

Space Vector Pulse Width Modulation Based Induction Motor with V/F Control

Space Vector Pulse Width Modulation Based Induction Motor with V/F Control Interntionl Journl of Science nd Reserch (IJSR) Spce Vector Pulse Width Modultion Bsed Induction Motor with V/F Control Vikrmrjn Jmbulingm Electricl nd Electronics Engineering, VIT University, Indi Abstrct:

More information

Recognition Scheme Forensic Science Content Within Educational Programmes

Recognition Scheme Forensic Science Content Within Educational Programmes Recognition Scheme Forensic Science Content Within Eductionl Progrmmes one Introduction The Chrtered Society of Forensic Sciences (CSoFS) hs been ccrediting the forensic content of full degree courses

More information

2006 IPCC Software for National Greenhouse Gas Inventories: Application and use for India

2006 IPCC Software for National Greenhouse Gas Inventories: Application and use for India 2006 IPCC Softwre for Ntionl Greenhouse Gs Inventories: Appliction nd use for Indi Presenttion for NGGIP Side Event Bonn, June 8, 2013 Prof. Amit Grg (mitgrg@iimhd.ernet.in), INDIA GHG Inventory Softwre

More information

Techniques for Requirements Gathering and Definition. Kristian Persson Principal Product Specialist

Techniques for Requirements Gathering and Definition. Kristian Persson Principal Product Specialist Techniques for Requirements Gthering nd Definition Kristin Persson Principl Product Specilist Requirements Lifecycle Mngement Elicit nd define business/user requirements Vlidte requirements Anlyze requirements

More information

Small Business Networking

Small Business Networking Why network is n essentil productivity tool for ny smll business Effective technology is essentil for smll businesses looking to increse the productivity of their people nd business. Introducing technology

More information

Small Business Networking

Small Business Networking Why network is n essentil productivity tool for ny smll business Effective technology is essentil for smll businesses looking to increse the productivity of their people nd processes. Introducing technology

More information

2. Transaction Cost Economics

2. Transaction Cost Economics 3 2. Trnsction Cost Economics Trnsctions Trnsctions Cn Cn Be Be Internl Internl or or Externl Externl n n Orgniztion Orgniztion Trnsctions Trnsctions occur occur whenever whenever good good or or service

More information

Small Business Networking

Small Business Networking Why Network is n Essentil Productivity Tool for Any Smll Business TechAdvisory.org SME Reports sponsored by Effective technology is essentil for smll businesses looking to increse their productivity. Computer

More information

Introducing Kashef for Application Monitoring

Introducing Kashef for Application Monitoring WextWise 2010 Introducing Kshef for Appliction The Cse for Rel-time monitoring of dtcenter helth is criticl IT process serving vriety of needs. Avilbility requirements of 6 nd 7 nines of tody SOA oriented

More information

Polynomial Functions. Polynomial functions in one variable can be written in expanded form as ( )

Polynomial Functions. Polynomial functions in one variable can be written in expanded form as ( ) Polynomil Functions Polynomil functions in one vrible cn be written in expnded form s n n 1 n 2 2 f x = x + x + x + + x + x+ n n 1 n 2 2 1 0 Exmples of polynomils in expnded form re nd 3 8 7 4 = 5 4 +

More information

Blackbaud The Raiser s Edge

Blackbaud The Raiser s Edge Riser s Edge Slesce.com Comprison Summry Introduction (continued) Chrt -(continued) Non-Prit Strter Pck Compny Bckground Optionl Technology Both Slesce modules supports hs become include over Slesce.com

More information

Performance analysis model for big data applications in cloud computing

Performance analysis model for big data applications in cloud computing Butist Villlpndo et l. Journl of Cloud Computing: Advnces, Systems nd Applictions 2014, 3:19 RESEARCH Performnce nlysis model for big dt pplictions in cloud computing Luis Edurdo Butist Villlpndo 1,2,

More information

Lump-Sum Distributions at Job Change, p. 2

Lump-Sum Distributions at Job Change, p. 2 Jnury 2009 Vol. 30, No. 1 Lump-Sum Distributions t Job Chnge, p. 2 E X E C U T I V E S U M M A R Y Lump-Sum Distributions t Job Chnge GROWING NUMBER OF WORKERS FACED WITH ASSET DECISIONS AT JOB CHANGE:

More information

According to Webster s, the

According to Webster s, the dt modeling Universl Dt Models nd P tterns By Len Silversn According Webster s, term universl cn be defined s generlly pplicble s well s pplying whole. There re some very common ptterns tht cn be generlly

More information

Academic Plan of Study

Academic Plan of Study Deprtment of Chemistry Chemistry: BA Degree (120 Hours); BA Degree with Secondry Teching Licensure (120 Hours); BS Degree (120 Hours), BS with Biochemistry Option (120 Hours) College of Liberl Arts nd

More information

COMPARISON OF SOME METHODS TO FIT A MULTIPLICATIVE TARIFF STRUCTURE TO OBSERVED RISK DATA BY B. AJNE. Skandza, Stockholm ABSTRACT

COMPARISON OF SOME METHODS TO FIT A MULTIPLICATIVE TARIFF STRUCTURE TO OBSERVED RISK DATA BY B. AJNE. Skandza, Stockholm ABSTRACT COMPARISON OF SOME METHODS TO FIT A MULTIPLICATIVE TARIFF STRUCTURE TO OBSERVED RISK DATA BY B. AJNE Skndz, Stockholm ABSTRACT Three methods for fitting multiplictive models to observed, cross-clssified

More information

1 Numerical Solution to Quadratic Equations

1 Numerical Solution to Quadratic Equations cs42: introduction to numericl nlysis 09/4/0 Lecture 2: Introduction Prt II nd Solving Equtions Instructor: Professor Amos Ron Scribes: Yunpeng Li, Mrk Cowlishw Numericl Solution to Qudrtic Equtions Recll

More information

Assessing authentically in the Graduate Diploma of Education

Assessing authentically in the Graduate Diploma of Education Assessing uthenticlly in the Grdute Diplom of Eduction Dr Mree DinnThompson Dr Ruth Hickey Dr Michelle Lsen WIL Seminr JCU Nov 12 2009 Key ides plnning process tht embeds uthentic ssessment, workintegrted

More information

Application of Combined SWOT and AHP: A Case Study for a Manufacturing Firm

Application of Combined SWOT and AHP: A Case Study for a Manufacturing Firm Avilble online t wwwsciencedirectcom Procedi - Socil nd Behviorl Sciences 58 ( 2012 ) 1525 1534 8 th Interntionl Strtegic Mngement Conference Appliction of Combined SWOT nd AHP: A Cse Study for Mnufcturing

More information

FDIC Study of Bank Overdraft Programs

FDIC Study of Bank Overdraft Programs FDIC Study of Bnk Overdrft Progrms Federl Deposit Insurnce Corportion November 2008 Executive Summry In 2006, the Federl Deposit Insurnce Corportion (FDIC) initited two-prt study to gther empiricl dt on

More information

A Note on Complement of Trapezoidal Fuzzy Numbers Using the α-cut Method

A Note on Complement of Trapezoidal Fuzzy Numbers Using the α-cut Method Interntionl Journl of Applictions of Fuzzy Sets nd Artificil Intelligence ISSN - Vol. - A Note on Complement of Trpezoidl Fuzzy Numers Using the α-cut Method D. Stephen Dingr K. Jivgn PG nd Reserch Deprtment

More information

Small Business Cloud Services

Small Business Cloud Services Smll Business Cloud Services Summry. We re thick in the midst of historic se-chnge in computing. Like the emergence of personl computers, grphicl user interfces, nd mobile devices, the cloud is lredy profoundly

More information

Factoring Polynomials

Factoring Polynomials Fctoring Polynomils Some definitions (not necessrily ll for secondry school mthemtics): A polynomil is the sum of one or more terms, in which ech term consists of product of constnt nd one or more vribles

More information

Combined Liability Insurance. Information and Communication Technology Proposal form

Combined Liability Insurance. Information and Communication Technology Proposal form Comined Liility Insurnce Informtion nd Communiction Technology Proposl form Comined Liility Insurnce Informtion nd Communiction Technology - Proposl form This proposl form must e completed nd signed y

More information

Algebra Review. How well do you remember your algebra?

Algebra Review. How well do you remember your algebra? Algebr Review How well do you remember your lgebr? 1 The Order of Opertions Wht do we men when we write + 4? If we multiply we get 6 nd dding 4 gives 10. But, if we dd + 4 = 7 first, then multiply by then

More information

Data quality issues for accounting information systems implementation: Systems, stakeholders, and organizational factors

Data quality issues for accounting information systems implementation: Systems, stakeholders, and organizational factors Journl of Technology Reserch Dt qulity issues for ccounting informtion systems implementtion: Systems, stkeholders, nd orgniztionl fctors ABSTRACT Hongjing Xu Butler University Qulity informtion is one

More information

College of Engineering

College of Engineering University of Illinois t Chicgo 1 College of Contct Informtion: Cmpus Loction: 123 Science nd Offices (SEO) (312) 996-3463 engineering.uic.edu Administrtion: Den, Peter Nelson Associte Den Undergrdute

More information

Improving Library Users' Perceived Quality, Satisfaction and Loyalty: An Integrated Measurement and Management System

Improving Library Users' Perceived Quality, Satisfaction and Loyalty: An Integrated Measurement and Management System Improving Librry Users' Perceived Qulity, Stisfction nd Loylty: An Integrted Mesurement nd Mngement System by Anne Mrtensen nd Lrs Gr0nholdt This rticle describes the development nd ppliction of structurl

More information

AntiSpyware Enterprise Module 8.5

AntiSpyware Enterprise Module 8.5 AntiSpywre Enterprise Module 8.5 Product Guide Aout the AntiSpywre Enterprise Module The McAfee AntiSpywre Enterprise Module 8.5 is n dd-on to the VirusScn Enterprise 8.5i product tht extends its ility

More information

Decision Rule Extraction from Trained Neural Networks Using Rough Sets

Decision Rule Extraction from Trained Neural Networks Using Rough Sets Decision Rule Extrction from Trined Neurl Networks Using Rough Sets Alin Lzr nd Ishwr K. Sethi Vision nd Neurl Networks Lbortory Deprtment of Computer Science Wyne Stte University Detroit, MI 48 ABSTRACT

More information

elearning platforms and consultation service at CU Presented by Judy Lo 31 August 2007

elearning platforms and consultation service at CU Presented by Judy Lo 31 August 2007 elerning pltforms nd consulttion service t CU Presented by Judy Lo 31 August 2007 Agend The elerning guidelines How elerning cn lower your work burden nd enhnce lerning? The elerning pltforms The elerning

More information

Software Cost Estimation Model Based on Integration of Multi-agent and Case-Based Reasoning

Software Cost Estimation Model Based on Integration of Multi-agent and Case-Based Reasoning Journl of Computer Science 2 (3): 276-282, 2006 ISSN 1549-3636 2006 Science Publictions Softwre Cost Estimtion Model Bsed on Integrtion of Multi-gent nd Cse-Bsed Resoning Hsn Al-Skrn Informtion Technology

More information

GFI MilArchiver 6 vs C2C Archive One Policy Mnger GFI Softwre www.gfi.com GFI MilArchiver 6 vs C2C Archive One Policy Mnger GFI MilArchiver 6 C2C Archive One Policy Mnger Who we re Generl fetures Supports

More information

Characteristics of Applicants Who Obtain Interviews at Orthodontic Postgraduate Programs

Characteristics of Applicants Who Obtain Interviews at Orthodontic Postgraduate Programs Originl Article Chrcteristics of Applicnts Who Obtin Interviews t Orthodontic Postgrdute Progrms Anil P. Ardeshn ; Courtney A. Fong b ABSTRACT Objective: To evlute pplicnt credentils tht re ssocited with

More information

Babylonian Method of Computing the Square Root: Justifications Based on Fuzzy Techniques and on Computational Complexity

Babylonian Method of Computing the Square Root: Justifications Based on Fuzzy Techniques and on Computational Complexity Bbylonin Method of Computing the Squre Root: Justifictions Bsed on Fuzzy Techniques nd on Computtionl Complexity Olg Koshelev Deprtment of Mthemtics Eduction University of Texs t El Pso 500 W. University

More information

Note: Principal version Modification Amendment Equivalence list Consolidated version from October 1 2014

Note: Principal version Modification Amendment Equivalence list Consolidated version from October 1 2014 Note: The following curriculum is consolidted version. It is leglly non-inding nd for informtionl purposes only. The leglly inding versions re found in the University of Innsruck Bulletins (in Germn).

More information

ENHANCING CUSTOMER EXPERIENCE THROUGH BUSINESS PROCESS IMPROVEMENT: AN APPLICATION OF THE ENHANCED CUSTOMER EXPERIENCE FRAMEWORK (ECEF)

ENHANCING CUSTOMER EXPERIENCE THROUGH BUSINESS PROCESS IMPROVEMENT: AN APPLICATION OF THE ENHANCED CUSTOMER EXPERIENCE FRAMEWORK (ECEF) ENHNCING CUSTOMER EXPERIENCE THROUGH BUSINESS PROCESS IMPROVEMENT: N PPLICTION OF THE ENHNCED CUSTOMER EXPERIENCE FRMEWORK (ECEF) G.J. Both 1, P.S. Kruger 2 & M. de Vries 3 Deprtment of Industril nd Systems

More information

UNITED STATES DEPARTMENT OF AGRICULTURE Washington, D.C. 20250. ACTION BY: All Divisions and Offices. FGIS Directive 2510.

UNITED STATES DEPARTMENT OF AGRICULTURE Washington, D.C. 20250. ACTION BY: All Divisions and Offices. FGIS Directive 2510. UNITED STATES DEPARTMENT OF AGRICULTURE Wshington, D.C. 20250 ACTION BY: All Divisions nd Offices FGIS Directive 2510.1 12-11-73 FEDERAL TORT CLAIMS I PURPOSE This Instruction: A Sets forth the bsic provisions

More information

Why is the NSW prison population falling?

Why is the NSW prison population falling? NSW Bureu of Crime Sttistics nd Reserch Bureu Brief Issue pper no. 80 September 2012 Why is the NSW prison popultion flling? Jcqueline Fitzgerld & Simon Corben 1 Aim: After stedily incresing for more thn

More information

a GAO-03-568 GAO COLLEGE COMPLETION Additional Efforts Could Help Education with Its Completion Goals Report to Congressional Requesters

a GAO-03-568 GAO COLLEGE COMPLETION Additional Efforts Could Help Education with Its Completion Goals Report to Congressional Requesters GAO United Sttes Generl Accounting Office Report to Congressionl Requesters My 2003 COLLEGE COMPLETION Additionl Efforts Could Help Eduction with Its Completion Gols GAO-03-568 My 2003 COLLEGE COMPLETION

More information

The Velocity Factor of an Insulated Two-Wire Transmission Line

The Velocity Factor of an Insulated Two-Wire Transmission Line The Velocity Fctor of n Insulted Two-Wire Trnsmission Line Problem Kirk T. McDonld Joseph Henry Lbortories, Princeton University, Princeton, NJ 08544 Mrch 7, 008 Estimte the velocity fctor F = v/c nd the

More information

Department of Electrical and Electronic Engineering Department of Physical Electronics. 1. Program Outline

Department of Electrical and Electronic Engineering Department of Physical Electronics. 1. Program Outline Deprtment of Electricl nd Electronic Engineering Deprtment of Physicl Electronics 1. Progrm Outline Deprtment of Electricl nd Electronic Engineering nd Deprtment of Physicl Electronics collborte closely

More information

GFI MilArchiver 6 vs Quest Softwre Archive Mnger GFI Softwre www.gfi.com GFI MilArchiver 6 vs Quest Softwre Archive Mnger GFI MilArchiver 6 Quest Softwre Archive Mnger Who we re Generl fetures Supports

More information

D T IC. 052 Research Laboratory D A 0 05

D T IC. 052 Research Laboratory D A 0 05 I JI Iw I1m I@ US Army Corps of Engineers Construction Engineering,s o,,ad-a205 :,Lo 052 Reserch Lbortory D A 0 05 USA-CERL TECHNICAL REPORT P-89/09 December 1988 Dt Envelopment Anlysis s Tool To Evlute

More information

Psychological health and safety in the workplace Prevention, CAN/CSA-Z1003-13/BNQ 9700-803/2013

Psychological health and safety in the workplace Prevention, CAN/CSA-Z1003-13/BNQ 9700-803/2013 Psychologicl helth nd sfety in the workplce Prevention, CAN/CSA-Z1003-13/BNQ 9700-803/2013 promotion, nd guidnce to stged implementtion This smple udit tool is n nnex of the Ntionl Stndrd of Cnd on Psychologicl

More information

Binary Representation of Numbers Autar Kaw

Binary Representation of Numbers Autar Kaw Binry Representtion of Numbers Autr Kw After reding this chpter, you should be ble to: 1. convert bse- rel number to its binry representtion,. convert binry number to n equivlent bse- number. In everydy

More information

Health Information Systems: evaluation and performance of a Help Desk

Health Information Systems: evaluation and performance of a Help Desk 536 Digitl Helthcre Empowering Europens R. Cornet et l. (Eds.) 2015 Europen Federtion for Medicl Informtics (EFMI). This rticle is published online with Open Access by IOS Press nd distributed under the

More information

Revisions published in the University of Innsbruck Bulletin of 18 June 2014, Issue 31, No. 509

Revisions published in the University of Innsbruck Bulletin of 18 June 2014, Issue 31, No. 509 Plese note: The following curriculum is for informtion purposes only nd not leglly inding. The leglly inding version is pulished in the pertinent University of Innsruck Bulletins. Originl version pulished

More information

Health insurance exchanges What to expect in 2014

Health insurance exchanges What to expect in 2014 Helth insurnce exchnges Wht to expect in 2014 33096CAEENABC 02/13 The bsics of exchnges As prt of the Affordble Cre Act (ACA or helth cre reform lw), strting in 2014 ALL Americns must hve minimum mount

More information

Project 6 Aircraft static stability and control

Project 6 Aircraft static stability and control Project 6 Aircrft sttic stbility nd control The min objective of the project No. 6 is to compute the chrcteristics of the ircrft sttic stbility nd control chrcteristics in the pitch nd roll chnnel. The

More information

The Black-Litterman Model For Active Portfolio Management Forthcoming in Journal of Portfolio Management Winter 2009

The Black-Litterman Model For Active Portfolio Management Forthcoming in Journal of Portfolio Management Winter 2009 The lck-littermn Model For Active Portfolio Mngement Forthcoming in Journl of Portfolio Mngement Winter 009 Alexndre Schutel D Silv Senior Vice President, Quntittive Investment Group Neuberger ermn Wi

More information

Health insurance marketplace What to expect in 2014

Health insurance marketplace What to expect in 2014 Helth insurnce mrketplce Wht to expect in 2014 33096VAEENBVA 06/13 The bsics of the mrketplce As prt of the Affordble Cre Act (ACA or helth cre reform lw), strting in 2014 ALL Americns must hve minimum

More information

Hillsborough Township Public Schools Mathematics Department Computer Programming 1

Hillsborough Township Public Schools Mathematics Department Computer Programming 1 Essentil Unit 1 Introduction to Progrmming Pcing: 15 dys Common Unit Test Wht re the ethicl implictions for ming in tody s world? There re ethicl responsibilities to consider when writing computer s. Citizenship,

More information

WEB DELAY ANALYSIS AND REDUCTION BY USING LOAD BALANCING OF A DNS-BASED WEB SERVER CLUSTER

WEB DELAY ANALYSIS AND REDUCTION BY USING LOAD BALANCING OF A DNS-BASED WEB SERVER CLUSTER Interntionl Journl of Computers nd Applictions, Vol. 9, No., 007 WEB DELAY ANALYSIS AND REDUCTION BY USING LOAD BALANCING OF A DNS-BASED WEB SERVER CLUSTER Y.W. Bi nd Y.C. Wu Abstrct Bsed on our survey

More information

Unleashing the Power of Cloud

Unleashing the Power of Cloud Unleshing the Power of Cloud A Joint White Pper by FusionLyer nd NetIQ Copyright 2015 FusionLyer, Inc. All rights reserved. No prt of this publiction my be reproduced, stored in retrievl system, or trnsmitted,

More information

GAO IRS AUDIT RATES. Rate for Individual Taxpayers Has Declined But Effect on Compliance Is Unknown

GAO IRS AUDIT RATES. Rate for Individual Taxpayers Has Declined But Effect on Compliance Is Unknown GAO United Sttes Generl Accounting Office Report to the Chirmn, Subcommittee on Oversight, Committee on Wys nd Mens, House of Representtives April 2001 IRS AUDIT RATES Rte for Individul Txpyers Hs Declined

More information

STATUS OF LAND-BASED WIND ENERGY DEVELOPMENT IN GERMANY

STATUS OF LAND-BASED WIND ENERGY DEVELOPMENT IN GERMANY Yer STATUS OF LAND-BASED WIND ENERGY Deutsche WindGurd GmbH - Oldenburger Strße 65-26316 Vrel - Germny +49 (4451)/9515 - info@windgurd.de - www.windgurd.com Annul Added Cpcity [MW] Cumultive Cpcity [MW]

More information

Engaging with Massive Online Courses

Engaging with Massive Online Courses Engging with Mssive Online Courses Ashton Anderson Dniel Huttenlocher Jon Kleinberg Jure Leskovec Stnford University Cornell University Cornell University Stnford University shton@cs.stnford.edu {dph,

More information

Source Code verification Using Logiscope and CodeReducer. Christophe Peron Principal Consultant Kalimetrix

Source Code verification Using Logiscope and CodeReducer. Christophe Peron Principal Consultant Kalimetrix Source Code verifiction Using Logiscope nd CodeReducer Christophe Peron Principl Consultnt Klimetrix Agend Introducing Logiscope: Improving confidence nd developer s productivity Bsed on stte-of-the-rt

More information

The Economic Footprint of Michigan s Fifteen Public Universities

The Economic Footprint of Michigan s Fifteen Public Universities December 10, 2013 The Economic Footprint of Michign s Fifteen Public Universities Prepred by: Json Horwitz Smnth Superstine Commissioned by: Presidents Council, Stte Universities of Michign Anderson Economic

More information

Data replication in mobile computing

Data replication in mobile computing Technicl Report, My 2010 Dt repliction in mobile computing Bchelor s Thesis in Electricl Engineering Rodrigo Christovm Pmplon HALMSTAD UNIVERSITY, IDE SCHOOL OF INFORMATION SCIENCE, COMPUTER AND ELECTRICAL

More information

Engaging with Massive Online Courses

Engaging with Massive Online Courses Engging with Mssive Online Courses Ashton Anderson Dniel Huttenlocher Jon Kleinberg Jure Leskovec Stnford University Cornell University Cornell University Stnford University shton@cs.stnford.edu {dph,

More information

Curriculum for the Master Program in Business Education at the University of Innsbruck School of Management

Curriculum for the Master Program in Business Education at the University of Innsbruck School of Management The English version of the curriculum for the Mster Progrm in Business Eduction is not leglly inding nd is for informtionl purposes only. The legl sis is regulted in the curriculum pulished in the University

More information

NOTES. Cohasset Associates, Inc. 2015 Managing Electronic Records Conference 8.1

NOTES. Cohasset Associates, Inc. 2015 Managing Electronic Records Conference 8.1 Cohsset Assocites, Inc. Expnding Your Skill Set: How to Apply the Right Serch Methods to Your Big Dt Problems Juli L. Brickell H5 Generl Counsel MER Conference My 18, 2015 H5 POWERING YOUR DISCOVERY GLOBALLY

More information

Aarti Deveshwar and Dhawal Modi

Aarti Deveshwar and Dhawal Modi Inventory Mngement Delivering Profits through Stock Mngement Arti Deveshwr nd Dhwl Modi Tody s business environment is competitive mrket with every orgniztion ligning its resources towrds chieving niche

More information

Regulations for Competency Assessments at the Bern University of Applied Sciences (KNR)

Regulations for Competency Assessments at the Bern University of Applied Sciences (KNR) Regultions for Competency Assessments t the Bern University of Applied Sciences (KNR) The University Bord of the Bern University of Applied Sciences - bsed on Article 6 of the Ordinnce of 5 My 00 regrding

More information

Value Function Approximation using Multiple Aggregation for Multiattribute Resource Management

Value Function Approximation using Multiple Aggregation for Multiattribute Resource Management Journl of Mchine Lerning Reserch 9 (2008) 2079-2 Submitted 8/08; Published 0/08 Vlue Function Approximtion using Multiple Aggregtion for Multittribute Resource Mngement Abrhm George Wrren B. Powell Deprtment

More information

A new algorithm for generating Pythagorean triples

A new algorithm for generating Pythagorean triples A new lgorithm for generting Pythgoren triples RH Dye 1 nd RWD Nicklls 2 The Mthemticl Gzette (1998); 82 (Mrch, No. 493), p. 86 91 (JSTOR rchive) http://www.nicklls.org/dick/ppers/mths/pythgtriples1998.pdf

More information

Application Bundles & Data Plans

Application Bundles & Data Plans Appliction Appliction Bundles & Dt Plns We ve got plns for you. Trnsporttion compnies tody ren t one-size-fits-ll. Your fleet s budget, size nd opertions re unique. To meet the needs of your fleet nd help

More information

Industrial information system security Part 3 Standards for securing industrial automation systems Martin Naedele, Dick Oyen

Industrial information system security Part 3 Standards for securing industrial automation systems Martin Naedele, Dick Oyen Tutoril Industril informtion system security Prt 3 Stndrds for securing industril utomtion systems Mrtin Nedele, Dick Oyen Prt 2 of this three-prt tutoril on informtion system security in industril networks

More information

TRUST and reputation are crucial requirements for most

TRUST and reputation are crucial requirements for most IEEE TRANSACTIONS ON DEPENDABLE AND SECURE COMPUTING, VOL. 9, NO. 3, MAY/JUNE 2012 375 Itertive Trust nd Reputtion Mngement Using Belief Propgtion Ermn Aydy, Student Member, IEEE, nd Frmrz Feri, Senior

More information