1. Name and Contact Information of Person(s) Responsible for Program s Assessment

Size: px
Start display at page:

Download "1. Name and Contact Information of Person(s) Responsible for Program s Assessment"

Transcription

1 Date: 2/04/08 I. Assessment of Stuent Learning Outomes 1. Name an Contat Information of Person(s) Responsile for Program s Assessment Terry Kiser, Chair Department of Mathematis & Statistis, zip [email protected] Dr. LaDawn Haws Assessment Coorinator Department of Mathematis & Statistis, zip [email protected] 2. Goal Statements & Stuent Learning Outomes [General Content] Grauates are profiient in performing asi operations on funamental mathematial ojets an have a working knowlege of the mathematial ieas an theories ehin these operations. GC1 Demonstrate asi skills an oneptual unerstaning of ifferential, integral, an multivariale alulus. GC2 Demonstrate asi skills an oneptual unerstaning as relating to funamental mathematial ojets introue in our egree ore, suh as, sets, funtions, equations, vetors, an matries. GC3 Demonstrate asi unerstaning of proaility an statistis, relevant to their option in the major. GC4 Demonstrate more tehnial skills an more in-epth an roaer oneptual unerstaning in ore mathematial areas (suh as, analysis, geometry/topology, algera, applie math, statistis), relevant to their option in the major. [Critial Thinking/Prolem Solving] Grauates use ritial thinking an prolem solving skills to analyze an solve mathematial & Statistial prolems. CT/PS1 Interpret an translate prolems into appropriate mathematial language. CT/PS2 Solve prolems y applying appropriate strategies an interpreting the results. 1

2 [Communiation] Grauates ommuniate mathematis effetively in a manner appropriate to areer goals an the mathematial maturity of the auiene. Com1 Demonstrate the aility to effetively an aurately write on mathematial topis relevant to their mathematis option an appropriate to their auiene. Com2 Demonstrate the aility to effetively an aurately speak on mathematial topis relevant to their mathematis option an appropriate to their auiene. [Proofs Profiieny] Grauates have a asi profiieny in the omprehension an appliation of proofs. PP1 Stuents an rea mathematial proofs, extrat the key ieas use in the proof, an onvey the logi ehin the proof. PP2 Stuents emonstrate the aility to write their own rigorous an logially orret proofs. [Tehnology] Grauates know how to use tehnology tools (e.g., graphing alulators, omputer algera systems) appropriate to the ontext of the prolem. Teh1 Stuents use tehnology to manipulate mathematial ojets (e.g., funtions, equations, ata sets, et.). Teh2 Stuents use tehnology to onut mathematial explorations, to moel prolem senarios, an to analyze mathematial ojets. [Life-long Learner] Grauates are aware of the important role of mathematis an have the interest an aility to e inepenent learners an pratitioners. LL1 Stuents emonstrate the aility to apply mathematis an statistis to new ontexts (e.g. in other lasses, the workplae, grauate shool, lasses they teah). LL2 Stuents reognize an appreiate the role that mathematis an play in their future an in soiety in general. 3. Course Alignment Matrix: See the attahe Exel spreasheet 4. Learning Outome(s) Assesse to Date an Planne for

3 Stuent Learning Outome GC1 1 GC1 PP1 GC4 PP2 Sample an Sample Size Math 121 Common Final Sp 06: 104 Math 121 Common Final Sp 07: 10 Math 330 Inlass assignment Sp 07: 10 Math 330 Final Exam Sp 07: 17 Math 330 Final Exam Sp 07: 17 GC1/GC2 Math 120 Common Final Sp 08 GC1/GC2 Math 121 Common Final Exam Sp 08 GC4 PP1/PP2 Math 346, Math 361, Math 449, Math 450 Sp 08 Measure Ahieving was set at Aeptale or Exemplary ase on the Ruri given in the Appenix Profiient was set at Aeptale or Exemplary ase on the Ruri given in the Appenix Profiient was set at Aeptale or Exemplary ase on the Ruri given in the Appenix Profiient was set at Aeptale or Exemplary ase on the Ruri given in the Appenix Profiient was set at Aeptale or Exemplary ase on the Ruri given in the Appenix TBC We plan to o a omplete assessment of the General Content goals in Math 120 y assoiating groups of prolems on the ommon final to all the funamental topis relate to these outomes. TBC Similar to Math 120 aove, we plan to o a omplete assessment an, where appropriate with overlapping ontent from Math 120, we will analyze this assessment as oming at a Pratie level. TBC We plan to assess this outome in all options in the major y onuting emee assessment in 4 upper ivision ourses in eah option. It will e a thorough assessment involving multiple prolems on all exams allowing us to trak stuent progress through the ourse. Math 420 Sp 08 TBC We in t omplete the assessment in Math 420 planne for Spring 2007 that was to e in oorination with the assessment from Math 330. So, this will e a Spring 2008 task. Perent of Stuents Ahieving 54.8% 60.0% 70.0% 35.3% 70.6% 1 This was iential to the assessment in Spring 2006 in the row aove; it was repeate to extrat math majors only. 3

4 Com2 for the Math E option Math 342 Inlass presentations Sp 08 Teh1/Teh2 Math 230 Projets Sp 08 TBC This ourse is only require for the Math E ut the epartment has plans for a new senior projet/apstone ourse, whih will serve all other options TBC Math 230 fulfills our Computer Literay requirement. 5. Analysis / Interpretation of Results Stuent Learning Outome GC1 Sample an Sample Size Math 121 Common Final: 10 Measure Profiient was set at Aeptale or Exemplary ase on the Ruri given in the Appenix Perent of Stuents Profiient 60.0% The ommon final for Math 121 was group grae y all of the instrutors. Sine one of the instrutors was a memer of the epartment s Assessment ommittee, that person grae this prolem for all setions an, at the same time, pike out our math majors to apply the ruri. The results of this assessment were isusse at a Fall 2007 ourse oorination meeting. This type of meeting is hel at the eginning of eah semester in all multisetion ourses an in this ase it involve all urrent alulus instrutors. Given the asi nature of this prolem, there was onsierale surprise in the outome an isussion followe as to why the % of stuents at a profiient level was so low. However, the most prominent response was onern over how we are implementing assessment eause there seems to e very little that one oul garner from a single emee prolem like this. There was onsensus that if this is going to e meaningful an helpful in shaping the urriulum in the future, it has to e far more sustantial. If we want to gain insight on the level of profiieny for a ertain stuent-learning outome, then we nee to over that outome with more in epth assessment, with multiple prolems proviing a variety of perspetives. Further oorination is neee to e onsistent with a pakage of prolems aross setions ut this seeme oale espeially in this ourse an in Math 120 where we alreay have a Common Final in plae. Stuent Learning Outome PP1 Sample an Sample Size Math 330 In lass assignment: 10 Measure Profiient was set at Aeptale or Exemplary ase on the Ruri given in the Appenix Perent of Stuents Profiient 70.0% 4

5 As esrie in the prolem statement, stuents saw the instrutor provie a proof for a very similar prolem. Then, a few lass perios later, stuents were given this prolem as an in-lass assignment. The intent was to hek their aility to unerstan a given proof, that is, to follow the logi ehin the proof an to e ale to extrat the key ieas, whether it is rea on their own or presente to them. This oul e assesse in a variety of ways; one way is to follow up the presentation of the original proof with a written assignment where stuents are aske to explain in their own wors the logi ehin the proof or the key ieas an another way is to see if they an apply the ieas from the original proof in writing their own proofs. In this assessment, in aition to eing irete at a speifi stuent-learning outome, we are hoping to gain experiene an a etter unerstaning of the effetiveness of the ifferent ways of onuting assessment for this outome. Two faulty, one eing the epartment s new Assessment Coorinator, sore the prolem. They are the only ones to have isusse these results at this time. During Fall 2007, it was planne to get feeak from the instrutor who taught the ourse when the assessment took plae, as well as from other faulty who often teah this ourse, ut that has een postpone to Spring However, it seems lear that for this speifi prolem, the level of profiieny is aeptale, espeially, sine this is the first exposure to proofs for most stuents. The main question that nees to e aresse an requires feeak from Math 330 instrutors, is the effetiveness of this approah to assessing PP1 an the valiity of this speifi prolem in terms of how losely aligne it is to the original proof presente to the stuents. Stuent Learning Outome GC4 Sample an Sample Size Math 330 Final Exam: 17 Measure Profiient was set at Aeptale or Exemplary ase on the Ruri given in the Appenix Perent of Stuents Profiient 35.3% Two faulty, one eing the epartment s new Assessment Coorinator, sore the prolem. They are the only ones to have isusse these results at this time. During Fall 2007, it was planne to get feeak from the instrutor who taught the ourse when the assessment took plae, as well as from other faulty who often teah this ourse, ut that has een postpone to Spring In riefly isussing the low level of profiieny, one oservation ame up. Continuity isn t a ommon topi in Math 330 an may e a little avane for this introutory proofs ourse. It is more typial to stik to very asi ontent areas that are suitale for introuing the logi ehin oing proofs ut not as relevant to future upper ivision math ourses. There has een some isussion aout the effetiveness of this approah in preparing stuents for more avane ourses. So, for Spring 2007, the instrutor wante to experiment with other ontent areas, whih, at the same time, woul allow us to o a follow up assessment in one of our apstone ourses, Math 420: Avane Calulus, sine ontinuity is a ore onept in Avane Calulus. We suspet that most instrutors woul expet mastery of a efinition suh as this in Avane Calulus ut it may e expeting too muh for the typial stuent in Math

6 For Spring 2008, we are planning to o a follow up assessment with this exat same prolem as well as a follow up to anther emee assessment on one of our proofs profiieny outomes that took plae on this final exam an to hek for Mastery of this outome. Stuent Learning Outome PP2 Sample an Sample Size Math 330 Final Exam: 17 Measure Profiient was set at Aeptale or Exemplary ase on the Ruri given in the Appenix Perent of Stuents Profiient 70.6% The prolem was sore y two faulty, one eing the epartment s new Assessment Coorinator. They are the only ones to have isusse these results at this time. During Fall 2007, it was planne to get feeak from the instrutor who taught the ourse when the assessment took plae, as well as from other faulty who often teah this ourse, ut that has een postpone to Spring However, it seems lear that for this speifi prolem, the level of profiieny is aeptale, espeially, sine this ourse provies the first exposure to proofs for most stuents. When ouple with the emee assessment for GC4, whih also took plae on this exam, this level of profiieny seems surprising an will require some thought an investigation to explain. Stuents in t perform well on the prolem asking them to state the efinition of ontinuity ut unerstaning this efinition is ritial to e ale to o a proof of ontinuity! It will e interesting to get feeak from Math 330 instrutors ut one initial thought is that the formal efinition reveals the stuent s lak of profiieny with using mathematial notation preisely ut, eviently, not a lak of unerstaning. This prolem, although, seemingly more hallenging in requiring them to o a proof of ontinuity, involves a speifi algerai example, whih may make it oneptually easier. Our epartment is ehin in getting a long-term assessment plan in plae an in isussing the results of availale assessment in terms of what programmati ations an revisions in assessment o these results suggest. However, starting Spring 2008, we will have an Assessment Coorinator on oar an we have a plan in plae for this semester, whih will result in signifiant new assessment. Also, we starte the semester with a series of Course Coorination meetings to get instrutors on oar to help with the emee assessment an to help plan follow up meetings so we an have a more involve epartment in losing the loop. Last year, assessment was primarily ommittee riven an our goal for this semester is get more epartmental involvement. This has not een ompletely laking. Last spring, we ha a series of 5 meetings all irete towar assessment. This was valuale in shaping our perspetive on onuting assessment in a way that will e more meaningful an enefiial to the epartment. For the first time, we saw the full yle of assessment take plae as the epartment ame to the onlusion that signifiant hanges to our urriulum were neee if wante to keep an value 6

7 our stuent-learning outomes for Communiation (whih everyone inee felt was important). This report will e upate soon with further etails. 6. Planne Program Improvement Ations Resulting from Outomes (if appliale) 7. Planne Revision of Measures or Metris (if appliale) 8. Planne Revisions to Program Ojetives or Learning Outomes (if appliale) 9. Changes to Assessment Sheule (if appliale) 10. Information for Next Semester II. Appenies (please inlue any of the following that are appliale to your program) A. Assessment Data Summaries B. Measurement Stanars (Ruris, et.) C. Survey Instruments Math 121 Common Final Spring 2007 GC 1 Emee Assessment Prolem & Ruri Prolem Statement: Write the integral(s) that alulates the shae area shown. This prolem was esigne to help us assess a general ontent SLO onerning oneptual unerstaning in seon semester alulus. Speifially, this prolem heks a stuents unerstaning of the onnetion etween the integral an area trappe etween two urves. f(x) This prolem purposefully goes eyon the asi onept, whih, a in general, involves the integral of the ifferene of the two funtions, in requiring areful treatment of the ouns for the integral to eal with left out areas an positive/negative area. g(x) 7

8 Exemplary Aeptale Marginal Unaeptale Integral/Area Conept Ruri Eviene emonstrates that the stuent has mastere this one aspet of the outome as it relates to the appliation of the integral to area an at a high level of sophistiation in ealing with the more iffiult ouns. Eviene emonstrates that the stuent has a general unerstaning of the onnetion of the integral to area ut is laking the sophistiation to eal with the exlue area eyon x = or the negative area elow the x-axis. Eviene that the stuent has some unerstaning of the onnetion to area is provie ut it is too inomplete to efinitively say it is at an aeptale level. In aition to missing how to eal with oth of the exlue areas, their answer is weak in showing an unerstaning of the asi priniple that the area is the integral of the ifferene of the two funtions. Eviene that the stuent has mastere this outome is very inomplete. Answers might involve the integral of the ifferene of the two funtions ut inappropriately an in a manner that suggests it is a memorize formula with little or no unerstaning ehin it. Sample answers for eah ategory Exemplary f (x)x + ( f (x) g(x)) x f (x) x g(x) x Aeptale Corret answers as aove ut inorret notation, suh as, missing x or parentheses. Marginal ( f (x) g(x)) x ( f (x) g(x)) x Unaeptale 8

9 ( f (x) g(x)) x (or variations of this showing no attention to the atual shae area.) a f (x) x Math 330 Spring 2007 Emee Assessment PP1 PP1is a stuent-learning outome assoiate with our goal on Proofs Profiieny. This outome is irete towar a stuent s aility to rea a mathematial proof an show their unerstaning y eing ale to extrat the key ieas an to onvey the logi ehin the proof. We ve hosen to assess this outome y asking stuents to write a proof for a prolem that is very losely aligne to one they ha seen fairly reently eforehan. Prolem Statement Stuents were shown in lass the proof that if f(x) an g(x) are ontinuous at, then (f + g)(x) is also ontinuous at. On this prolem, they were aske to prove that if f(x) an g(x) are ontinuous at, then so is (f - g)(x). Base on the efinition of ontinuity, stuents must show that given ε > 0, there exists a δ > 0 suh that whenever x < δ, (f g)(x) - (f g)() < ε. (1) Proof: Given ε > 0, sine f is ontinuous at, there exists δ 1 > 0 suh that whenever x < δ 1, f (x) f () < ε 2. Similarly, sine g is ontinuous at, there exists δ 2 > 0 suh that whenever x < δ 2, g(x) g() < ε 2. Let δ = min{ δ 1, δ 2 }. (2) Then, whenever x < δ, (f g)(x) - (f g)() = f (x) g(x) - f() + g() = f (x) f() + g() - g(x) (3) < f (x) f() + g() - g(x) (y the triangle inequality) (4) = f (x) f() + g(x) - g() (5) < ε /2 + ε /2 = ε (from ontinuity of f an g) (6) Ruri/Comments: Steps (1) (this isn t neessarily a step that they must put in their proof ut the iea must e evient in their proof), (2), an (6) are iential to the proof given in lass. The main ifferene with the proof given in lass are that in steps (3) (5) stuents must eal with the new minus sign an realize that g() g(x) = g(x) g() so they an orretly ring in the assumption of ontinuity of g. Note: a goo stuent oul go from step (3) to step (5); unfortunately, a weak 9

10 stuent might o that, too, ut not neessarily knowing why perhaps, they just knew from the in-lass prolem that this is where they were suppose to en up. Step (1) shows an unerstaning of the efinition, whih rives the proof, an step (2) is the set up for the proof orret work through these two steps is neessary for a Marginal rating. To e at an Aeptale level, stuents also nee to know how the proof must en an show step (6) even if their work in the intermeiate steps is somewhat inorret. To have mastere this type of proof an e at an Exemplary level, stuents must eal with the new feature the minus sign orretly an this means not skipping steps so the eviene is learly shown. Math 330 Spring 2007 Emee Assessment GC4 GC4 is a General Content stuent-learning outome irete towars more tehnial skills an more in epth oneptual unerstaning. Math 330, in proviing an introution to oing mathematial proofs, is a ourse where stuents first get expose to the important role of efinitions. Given this fous, we hose to o an emee assessment on the Final Exam given in Spring 2007 where stuents were aske to state the efinition of ontinuity, whih is one of the main onepts in the ourse. Prolem Statement: Given a funtion f : D an D, state what it means for f to e ontinuous at. Definition: (Part 1) ε > 0, δ > 0 suh that if x D with (Part 2) x < δ, then f (x) f () < ε. Ruri/Comments: The asi iea is that if x is lose to then f(x) will e lose to f(). This is apture in Part 2 of the efinition an is require to e at a Marginal level. It is ritial that stuents use the orret quantifiers for ε an δ as iniate in Part 1 - so, to rise to an Aeptale level, this must e evient in their efinition, although, perhaps not in the logially orret orer or plae. By the en of the semester, stuents shoul e ale to give preise efinitions - so, to e Exemplary, the efinition essentially has to e entirely orret. Math 330 Spring 2007 Emee Assessment PP2 PP2 is a Proofs Profiieny stuent-learning outome irete at the stuent s aility to write logially orret mathematial proofs. Math 330 is the ieal ourse for assessing this at the Introue or Pratie level as the main goal of the ourse is not ontent riven as muh as to provie an introution to oing mathematial proofs. In this single ourse, we expet stuents to evolve in profiieny from an Introue level of expetation to a more Pratie level y the en of the en of the ourse. We hose to assess their proof writing aility at the Pratie level through an emee assessment on the Final Exam given in Spring One of the topis 10

11 overe on the Final was Continuity an a founational type of prolem at this level in this topi is to show ontinuity of a speifi an algeraially simple funtion. This prolem also was hosen eause this is a ore topi in Avane Calulus, whih will allow us to o a follow up assessment at the Mastery level using an iential prolem type. Prolem Statement: Let f (x) = 3x 2. Show that f is ontinuous at = 4. Stuents are expete to know how the efinition rives the proof an that the key step is to etermine how to hose δ in terms of an aritrary ε that will ensure that f (x) f () < ε. They are often taught to o the srath work to fin δ efore starting to write their proofs. Proof Srath work: f (x) f (4) = (3x 2) 10 = 3x 12 = 3 x 4. This reveals that, sine we want f (x) f (4) < ε, we nee to keep x 4 < ε 3 [Start of the proof] Let ε > 0. Take δ = ε 3 - here s δ (1) (2) Then, if x 4 < δ, f (x) f (4) = L (repeat srath work) = 3 x 4 < 3( ε 3 ) = ε (3) Ruri/Comments: As state aove, the key step is showing their unerstaning of the efinition, that is, to show how to make f (x) f (4) < ε an unerstaning that the ontrol omes from x 4. Getting through the srath work either outsie or in the proof - is require to e at a Marginal level. To e Aeptale, the proof must expliitly show that they know how to hoose δ from this srath work an they unerstan the orret quantifiers for ε an δ even if there is some slight logial error in the orer or plaement in setting them up. To e Exemplary, the proof must have the srath work inserte orretly showing they also have the orret unerstaning of how the proof ens. 11

12 Math 121 Common Final Emee Assessment Prolem & Ruri Prolem Statement: Write the integral(s) that alulates the shae area shown. This prolem was esigne to help us assess a general ontent SLO onerning oneptual unerstaning in seon semester alulus. Speifially, this prolem heks a stuents unerstaning of the onnetion etween the integral an area trappe etween two urves. This prolem purposefully goes eyon the asi onept, whih, in general, involves the integral of the ifferene of the two funtions, in requiring areful treatment of the ouns for the integral to eal with left out areas an positive/negative area. f(x) a g(x) Exemplary Aeptale Marginal Unaeptale Integral/Area Conept Ruri Eviene emonstrates that the stuent has mastere this one aspet of the outome as it relates to the appliation of the integral to area an at a high level of sophistiation in ealing with the more iffiult ouns. Eviene emonstrates that the stuent has a general unerstaning of the onnetion of the integral to area ut is laking the sophistiation to eal with the exlue area eyon x = or the negative area elow the x-axis. Eviene that the stuent has some unerstaning of the onnetion to area is provie ut it is too inomplete to efinitively say it is at an aeptale level. In aition to missing how to eal with oth of the exlue areas, their answer is weak in showing an unerstaning of the asi priniple that the area is the integral of the ifferene of the two funtions. Eviene that the stuent has mastere this outome is very inomplete. Answers might involve the integral of the ifferene of the two funtions ut inappropriately an in a manner that suggests it is a memorize formula with little or no unerstaning ehin it. 12

13 Sample answers for eah ategory Exemplary f (x)x + ( f (x) g(x)) x f (x) x g(x) x Aeptale ( f (x) g(x) ) x g(x) x (Missing that the area elow the x-axis is negative.) Marginal ( f (x) g(x)) x ( f (x) g(x)) x f (x) x Unaeptale ( f (x) g(x)) x (Showing no attention to the atual shae area.) a Please sumit omplete reports eletronially to your ollege ean an to the provost s offie ([email protected]). 13

SOFTWARE ENGINEERING I

SOFTWARE ENGINEERING I SOFTWARE ENGINEERING I CS 10 Catalog Desription PREREQUISITE: CS 21. Introdution to the systems development life yle, software development models, analysis and design tehniques and tools, and validation

More information

European Test User Standards. for test use in Work and. Organizational settings

European Test User Standards. for test use in Work and. Organizational settings European Test User Stanars for test use in Work an Organizational settings VERSION 1.92 Prepare y the European Feeration of Psyhologists Assoiations an the European Assoiation of Work an Organizational

More information

2. Properties of Functions

2. Properties of Functions 2. PROPERTIES OF FUNCTIONS 111 2. Properties of Funtions 2.1. Injetions, Surjetions, an Bijetions. Definition 2.1.1. Given f : A B 1. f is one-to-one (short han is 1 1) or injetive if preimages are unique.

More information

Henley Business School at Univ of Reading. Pre-Experience Postgraduate Programmes Chartered Institute of Personnel and Development (CIPD)

Henley Business School at Univ of Reading. Pre-Experience Postgraduate Programmes Chartered Institute of Personnel and Development (CIPD) MS in International Human Resoure Management For students entering in 2012/3 Awarding Institution: Teahing Institution: Relevant QAA subjet Benhmarking group(s): Faulty: Programme length: Date of speifiation:

More information

National Summary. State Teacher Policy Yearbook Progress on Teacher Quality. National Council on Teacher Quality

National Summary. State Teacher Policy Yearbook Progress on Teacher Quality. National Council on Teacher Quality National Summary 2007 State Teaher Poliy Yearbook Progress on Teaher Quality National Counil on Teaher Quality Aknowlegments States Our most important partners in this effort have been state euation agenies,

More information

London Metropolitan Polymer Centre (LMPC)

London Metropolitan Polymer Centre (LMPC) NORTH CAMPUS Lonon Metropolitan Polymer Centre (LMPC) MSPlastis Prout Design MS Plastis Prout Design with Management MS Plastis Prout Design with Marketing Course Hanbook For amission in 2009-2010 The

More information

Henley Business School at Univ of Reading. Chartered Institute of Personnel and Development (CIPD)

Henley Business School at Univ of Reading. Chartered Institute of Personnel and Development (CIPD) MS in International Human Resoure Management (full-time) For students entering in 2015/6 Awarding Institution: Teahing Institution: Relevant QAA subjet Benhmarking group(s): Faulty: Programme length: Date

More information

FCC Form 471 Do not write in this area. Approval by OMB 3060-0806

FCC Form 471 Do not write in this area. Approval by OMB 3060-0806 FCC Form 471 Do not write in this area. Approval by OMB 3060-0806 Shools an Libraries Universal Servie Desription of Servies Orere an Certifiation Form 471 Estimate Average Buren Hours per Response: 4

More information

FOOD FOR THOUGHT Topical Insights from our Subject Matter Experts

FOOD FOR THOUGHT Topical Insights from our Subject Matter Experts FOOD FOR THOUGHT Topial Insights from our Sujet Matter Experts DEGREE OF DIFFERENCE TESTING: AN ALTERNATIVE TO TRADITIONAL APPROACHES The NFL White Paper Series Volume 14, June 2014 Overview Differene

More information

tr(a + B) = tr(a) + tr(b) tr(ca) = c tr(a)

tr(a + B) = tr(a) + tr(b) tr(ca) = c tr(a) Chapter 3 Determinant 31 The Determinant Funtion We follow an intuitive approah to introue the efinition of eterminant We alreay have a funtion efine on ertain matries: the trae The trae assigns a numer

More information

Parallel-Task Scheduling on Multiple Resources

Parallel-Task Scheduling on Multiple Resources Parallel-Task Sheuling on Multiple Resoures Mike Holenerski, Reiner J. Bril an Johan J. Lukkien Department of Mathematis an Computer Siene, Tehnishe Universiteit Einhoven Den Doleh 2, 5600 AZ Einhoven,

More information

Agile ALM White Paper: Redefining ALM with Five Key Practices

Agile ALM White Paper: Redefining ALM with Five Key Practices Agile ALM White Paper: Redefining ALM with Five Key Praties by Ethan Teng, Cyndi Mithell and Chad Wathington 2011 ThoughtWorks ln. All rights reserved www.studios.thoughtworks.om Introdution The pervasiveness

More information

Channel Assignment Strategies for Cellular Phone Systems

Channel Assignment Strategies for Cellular Phone Systems Channel Assignment Strategies for Cellular Phone Systems Wei Liu Yiping Han Hang Yu Zhejiang University Hangzhou, P. R. China Contat: [email protected] 000 Mathematial Contest in Modeling (MCM) Meritorious

More information

Fixed-income Securities Lecture 2: Basic Terminology and Concepts. Present value (fixed interest rate) Present value (fixed interest rate): the arb

Fixed-income Securities Lecture 2: Basic Terminology and Concepts. Present value (fixed interest rate) Present value (fixed interest rate): the arb Fixed-inome Seurities Leture 2: Basi Terminology and Conepts Philip H. Dybvig Washington University in Saint Louis Various interest rates Present value (PV) and arbitrage Forward and spot interest rates

More information

Wireless Networking Guide 2007 www.lexmark.com

Wireless Networking Guide 2007 www.lexmark.com Wireless Networking Guide 2007 www.lexmark.om P/N 13L0828 E.C. 3L0101 Contents Installing the printer on a wireless network...4 Wireless network ompatiility...4 Information you will need to set up the

More information

THE UNIVERSITY OF TEXAS AT ARLINGTON COLLEGE OF NURSING. NURS 6390-004 Introduction to Genetics and Genomics SYLLABUS

THE UNIVERSITY OF TEXAS AT ARLINGTON COLLEGE OF NURSING. NURS 6390-004 Introduction to Genetics and Genomics SYLLABUS THE UNIVERSITY OF TEXAS AT ARLINGTON COLLEGE OF NURSING NURS 6390-004 Introdution to Genetis and Genomis SYLLABUS Summer Interession 2011 Classroom #: TBA and 119 (lab) The University of Texas at Arlington

More information

WORKFLOW CONTROL-FLOW PATTERNS A Revised View

WORKFLOW CONTROL-FLOW PATTERNS A Revised View WORKFLOW CONTROL-FLOW PATTERNS A Revised View Nik Russell 1, Arthur H.M. ter Hofstede 1, 1 BPM Group, Queensland University of Tehnology GPO Box 2434, Brisbane QLD 4001, Australia {n.russell,a.terhofstede}@qut.edu.au

More information

A Holistic Method for Selecting Web Services in Design of Composite Applications

A Holistic Method for Selecting Web Services in Design of Composite Applications A Holisti Method for Seleting Web Servies in Design of Composite Appliations Mārtiņš Bonders, Jānis Grabis Institute of Information Tehnology, Riga Tehnial University, 1 Kalu Street, Riga, LV 1658, Latvia,

More information

computer science Program Educational Objectives

computer science Program Educational Objectives omputer siene bahelor of siene minor ertifiates: managing information on the world wide web master of siene in omputer siene master of siene in software engineering advaned ertifiate programs: bioinformatis

More information

Chapter 6 A N ovel Solution Of Linear Congruenes Proeedings NCUR IX. (1995), Vol. II, pp. 708{712 Jerey F. Gold Department of Mathematis, Department of Physis University of Utah Salt Lake City, Utah 84112

More information

TRENDS IN EXECUTIVE EDUCATION: TOWARDS A SYSTEMS APPROACH TO EXECUTIVE DEVELOPMENT PLANNING

TRENDS IN EXECUTIVE EDUCATION: TOWARDS A SYSTEMS APPROACH TO EXECUTIVE DEVELOPMENT PLANNING INTERMAN 7 TRENDS IN EXECUTIVE EDUCATION: TOWARDS A SYSTEMS APPROACH TO EXECUTIVE DEVELOPMENT PLANNING by Douglas A. Ready, Albert A. Viere and Alan F. White RECEIVED 2 7 MAY 1393 International Labour

More information

5.2 The Master Theorem

5.2 The Master Theorem 170 CHAPTER 5. RECURSION AND RECURRENCES 5.2 The Master Theorem Master Theorem In the last setion, we saw three different kinds of behavior for reurrenes of the form at (n/2) + n These behaviors depended

More information

The Price of Uncertainty in Security Games

The Price of Uncertainty in Security Games The Prie of Unertainty in Seurity Games Tehnial Report Jens Grossklags a Benjamin Johnson iolas Christin a Shool of Information University of California, Berkeley Berkeley, CA 947 [email protected]

More information

' R ATIONAL. :::~i:. :'.:::::: RETENTION ':: Compliance with the way you work PRODUCT BRIEF

' R ATIONAL. :::~i:. :'.:::::: RETENTION ':: Compliance with the way you work PRODUCT BRIEF ' R :::i:. ATIONAL :'.:::::: RETENTION ':: Compliane with the way you work, PRODUCT BRIEF In-plae Management of Unstrutured Data The explosion of unstrutured data ombined with new laws and regulations

More information

The art of Paperarchitecture (PA). MANUAL

The art of Paperarchitecture (PA). MANUAL The rt of Pperrhiteture (PA). MANUAL Introution Pperrhiteture (PA) is the rt of reting three-imensionl (3D) ojets out of plin piee of pper or ror. At first, esign is rwn (mnully or printe (using grphil

More information

Open and Extensible Business Process Simulator

Open and Extensible Business Process Simulator UNIVERSITY OF TARTU FACULTY OF MATHEMATICS AND COMPUTER SCIENCE Institute of Computer Siene Karl Blum Open and Extensible Business Proess Simulator Master Thesis (30 EAP) Supervisors: Luiano Garía-Bañuelos,

More information

Electrician'sMathand BasicElectricalFormulas

Electrician'sMathand BasicElectricalFormulas Eletriian'sMathand BasiEletrialFormulas MikeHoltEnterprises,In. 1.888.NEC.CODE www.mikeholt.om Introdution Introdution This PDF is a free resoure from Mike Holt Enterprises, In. It s Unit 1 from the Eletrial

More information

London Metropolitan Business School

London Metropolitan Business School North Campus London Metropolitan Business Shool Publi Relations Single Honours Degree Course Handbook For admission to Certifiate Level in 2011-2012 PBR4N Undergraduate Aademi Year 2011-2012 AUTUMN SEMESTER

More information

Grey cast iron PN 16 Ductile cast iron PN 25 Cast steel PN 40 Nom. dia. DN

Grey cast iron PN 16 Ductile cast iron PN 25 Cast steel PN 40 Nom. dia. DN 76.526/1 V6F, V6G, V6S: Through flange valves (nominal pressure 16, 25, 40 ar) For ontinuous ontrol of hot, warm an ol water or of air (V6G, V6S also for steam). Valve oy of grey ast iron (GG25), utile

More information

Chapter 1 Microeconomics of Consumer Theory

Chapter 1 Microeconomics of Consumer Theory Chapter 1 Miroeonomis of Consumer Theory The two broad ategories of deision-makers in an eonomy are onsumers and firms. Eah individual in eah of these groups makes its deisions in order to ahieve some

More information

Professional Certificate Training in Business Writing

Professional Certificate Training in Business Writing Professional Certifiate Training in Business Writing About Training in Business Writing ZeebraCross Centre for Management Exellene (ZCME) is an initiative of ZeebraCross (Unit of InfousRx Marketing and

More information

Condominium Project Questionnaire Full Form

Condominium Project Questionnaire Full Form Conominium Projet Questionnaire Full Form Instrutions Lener: Complete the irst table below an enter the ate on whih the orm shoul be returne to you. Homeowners' Assoiation (HOA) or Management Company:

More information

1.3 Complex Numbers; Quadratic Equations in the Complex Number System*

1.3 Complex Numbers; Quadratic Equations in the Complex Number System* 04 CHAPTER Equations and Inequalities Explaining Conepts: Disussion and Writing 7. Whih of the following pairs of equations are equivalent? Explain. x 2 9; x 3 (b) x 29; x 3 () x - 2x - 22 x - 2 2 ; x

More information

REDUCTION FACTOR OF FEEDING LINES THAT HAVE A CABLE AND AN OVERHEAD SECTION

REDUCTION FACTOR OF FEEDING LINES THAT HAVE A CABLE AND AN OVERHEAD SECTION C I E 17 th International Conferene on Eletriity istriution Barelona, 1-15 May 003 EUCTION FACTO OF FEEING LINES THAT HAVE A CABLE AN AN OVEHEA SECTION Ljuivoje opovi J.. Elektrodistriuija - Belgrade -

More information

VOLUME 13, ARTICLE 5, PAGES 117-142 PUBLISHED 05 OCTOBER 2005 DOI: 10.4054/DemRes.2005.13.

VOLUME 13, ARTICLE 5, PAGES 117-142 PUBLISHED 05 OCTOBER 2005  DOI: 10.4054/DemRes.2005.13. Demographi Researh a free, expedited, online journal of peer-reviewed researh and ommentary in the population sienes published by the Max Plank Institute for Demographi Researh Konrad-Zuse Str. 1, D-157

More information

How To Fator

How To Fator CHAPTER hapter 4 > Make the Connetion 4 INTRODUCTION Developing seret odes is big business beause of the widespread use of omputers and the Internet. Corporations all over the world sell enryption systems

More information

A Survey of Usability Evaluation in Virtual Environments: Classi cation and Comparison of Methods

A Survey of Usability Evaluation in Virtual Environments: Classi cation and Comparison of Methods Doug A. Bowman [email protected] Department of Computer Siene Virginia Teh Joseph L. Gabbard Deborah Hix [ jgabbard, hix]@vt.edu Systems Researh Center Virginia Teh A Survey of Usability Evaluation in Virtual

More information

MEDICATION MANAGEMENT ASSESSMENT

MEDICATION MANAGEMENT ASSESSMENT MEDICATION MANAGEMENT ASSESSMENT The Mediation Management Assessment provides evidene-based reommendations/standards for Minnesota hospitals in the development of a omprehensive mediation safety program.

More information

Deadline-based Escalation in Process-Aware Information Systems

Deadline-based Escalation in Process-Aware Information Systems Deadline-based Esalation in Proess-Aware Information Systems Wil M.P. van der Aalst 1,2, Mihael Rosemann 2, Marlon Dumas 2 1 Department of Tehnology Management Eindhoven University of Tehnology, The Netherlands

More information

PH.D. PROGRAM SCHOOL PSYCHOLOGY. Manual of Policies and Procedures. College of Education. Department of Education and Human Services

PH.D. PROGRAM SCHOOL PSYCHOLOGY. Manual of Policies and Procedures. College of Education. Department of Education and Human Services Ph.D. Manal PH.D. PROGRAM IN SCHOOL PSYCHOLOGY Manal of Poliies an Proeres College of ation Department of ation an Hman Servies Lehigh University http://www.lehigh.e/eation/sp/ph_sp.html Approve: May 85

More information

1 Fractions from an advanced point of view

1 Fractions from an advanced point of view 1 Frtions from n vne point of view We re going to stuy frtions from the viewpoint of moern lger, or strt lger. Our gol is to evelop eeper unerstning of wht n men. One onsequene of our eeper unerstning

More information

The Basics of International Trade: A Classroom Experiment

The Basics of International Trade: A Classroom Experiment The Basis of International Trade: A Classroom Experiment Alberto Isgut, Ganesan Ravishanker, and Tanya Rosenblat * Wesleyan University Abstrat We introdue a simple web-based lassroom experiment in whih

More information

RATING SCALES FOR NEUROLOGISTS

RATING SCALES FOR NEUROLOGISTS RATING SCALES FOR NEUROLOGISTS J Hobart iv22 WHY Correspondene to: Dr Jeremy Hobart, Department of Clinial Neurosienes, Peninsula Medial Shool, Derriford Hospital, Plymouth PL6 8DH, UK; Jeremy.Hobart@

More information

Volumes by Cylindrical Shells: the Shell Method

Volumes by Cylindrical Shells: the Shell Method olumes Clinril Shells: the Shell Metho Another metho of fin the volumes of solis of revolution is the shell metho. It n usull fin volumes tht re otherwise iffiult to evlute using the Dis / Wsher metho.

More information

Picture This: Molecular Maya Puts Life in Life Science Animations

Picture This: Molecular Maya Puts Life in Life Science Animations Piture This: Moleular Maya Puts Life in Life Siene Animations [ Data Visualization ] Based on the Autodesk platform, Digizyme plug-in proves aestheti and eduational effetiveness. BY KEVIN DAVIES In 2010,

More information

A Comparison of Service Quality between Private and Public Hospitals in Thailand

A Comparison of Service Quality between Private and Public Hospitals in Thailand International Journal of Business and Soial Siene Vol. 4 No. 11; September 2013 A Comparison of Servie Quality between Private and Hospitals in Thailand Khanhitpol Yousapronpaiboon, D.B.A. Assistant Professor

More information

f(x) = a x, h(5) = ( 1) 5 1 = 2 2 1

f(x) = a x, h(5) = ( 1) 5 1 = 2 2 1 Exponential Functions an their Derivatives Exponential functions are functions of the form f(x) = a x, where a is a positive constant referre to as the base. The functions f(x) = x, g(x) = e x, an h(x)

More information

Board Building Recruiting and Developing Effective Board Members for Not-for-Profit Organizations

Board Building Recruiting and Developing Effective Board Members for Not-for-Profit Organizations Board Development Board Building Reruiting and Developing Effetive Board Members for Not-for-Profit Organizations Board Development Board Building Reruiting and Developing Effetive Board Members for Not-for-Profit

More information

Neural network-based Load Balancing and Reactive Power Control by Static VAR Compensator

Neural network-based Load Balancing and Reactive Power Control by Static VAR Compensator nternational Journal of Computer and Eletrial Engineering, Vol. 1, No. 1, April 2009 Neural network-based Load Balaning and Reative Power Control by Stati VAR Compensator smail K. Said and Marouf Pirouti

More information

State of Maryland Participation Agreement for Pre-Tax and Roth Retirement Savings Accounts

State of Maryland Participation Agreement for Pre-Tax and Roth Retirement Savings Accounts State of Maryland Partiipation Agreement for Pre-Tax and Roth Retirement Savings Aounts DC-4531 (08/2015) For help, please all 1-800-966-6355 www.marylandd.om 1 Things to Remember Complete all of the setions

More information

Classical Electromagnetic Doppler Effect Redefined. Copyright 2014 Joseph A. Rybczyk

Classical Electromagnetic Doppler Effect Redefined. Copyright 2014 Joseph A. Rybczyk Classial Eletromagneti Doppler Effet Redefined Copyright 04 Joseph A. Rybzyk Abstrat The lassial Doppler Effet formula for eletromagneti waves is redefined to agree with the fundamental sientifi priniples

More information

Capacity at Unsignalized Two-Stage Priority Intersections

Capacity at Unsignalized Two-Stage Priority Intersections Capaity at Unsignalized Two-Stage Priority Intersetions by Werner Brilon and Ning Wu Abstrat The subjet of this paper is the apaity of minor-street traffi movements aross major divided four-lane roadways

More information

Customer Efficiency, Channel Usage and Firm Performance in Retail Banking

Customer Efficiency, Channel Usage and Firm Performance in Retail Banking Customer Effiieny, Channel Usage and Firm Performane in Retail Banking Mei Xue Operations and Strategi Management Department The Wallae E. Carroll Shool of Management Boston College 350 Fulton Hall, 140

More information

Granular Problem Solving and Software Engineering

Granular Problem Solving and Software Engineering Granular Problem Solving and Software Engineering Haibin Zhu, Senior Member, IEEE Department of Computer Siene and Mathematis, Nipissing University, 100 College Drive, North Bay, Ontario, P1B 8L7, Canada

More information

Hierarchical Clustering and Sampling Techniques for Network Monitoring

Hierarchical Clustering and Sampling Techniques for Network Monitoring S. Sindhuja Hierarhial Clustering and Sampling Tehniques for etwork Monitoring S. Sindhuja ME ABSTRACT: etwork monitoring appliations are used to monitor network traffi flows. Clustering tehniques are

More information

Sequential Auctions of Oligopoly Licenses: Bankruptcy and Signaling

Sequential Auctions of Oligopoly Licenses: Bankruptcy and Signaling Sequential Autions of Oligopoly Lienses: Bankrupty an Signaling Georgios Katsenos Institut für Mikroökonomik, Leibniz Universität Hannover Deember 2010 Abstrat This paper ompares two proeures for alloating

More information

Bypassing Space Explosion in Regular Expression Matching for Network Intrusion Detection and Prevention Systems

Bypassing Space Explosion in Regular Expression Matching for Network Intrusion Detection and Prevention Systems Bypassing Spae Explosion in Regular Expression Mathing for Network Intrusion Detetion and Prevention Systems Jignesh Patel Alex X. Liu Eri Torng Department of Computer Siene and Engineering Mihigan State

More information

Recommending Questions Using the MDL-based Tree Cut Model

Recommending Questions Using the MDL-based Tree Cut Model WWW 2008 / Refereed Trak: Data Mining - Learning April 2-25, 2008 Beijing, China Reommending Questions Using the MDL-based Tree Cut Model Yunbo Cao,2, Huizhong Duan, Chin-Yew Lin 2, Yong Yu, and Hsiao-Wuen

More information

CIS570 Lecture 4 Introduction to Data-flow Analysis 3

CIS570 Lecture 4 Introduction to Data-flow Analysis 3 Introdution to Data-flow Analysis Last Time Control flow analysis BT disussion Today Introdue iterative data-flow analysis Liveness analysis Introdue other useful onepts CIS570 Leture 4 Introdution to

More information

Masters Thesis- Criticality Alarm System Design Guide with Accompanying Alarm System Development for the Radioisotope Production L

Masters Thesis- Criticality Alarm System Design Guide with Accompanying Alarm System Development for the Radioisotope Production L PNNL-18348 Prepared for the U.S. Department of Energy under Contrat DE-AC05-76RL01830 Masters Thesis- Critiality Alarm System Design Guide with Aompanying Alarm System Development for the Radioisotope

More information

y or f (x) to determine their nature.

y or f (x) to determine their nature. Level C5 of challenge: D C5 Fining stationar points of cubic functions functions Mathematical goals Starting points Materials require Time neee To enable learners to: fin the stationar points of a cubic

More information

) ( )( ) ( ) ( )( ) ( ) ( ) (1)

) ( )( ) ( ) ( )( ) ( ) ( ) (1) OPEN CHANNEL FLOW Open hannel flow is haraterized by a surfae in ontat with a gas phase, allowing the fluid to take on shapes and undergo behavior that is impossible in a pipe or other filled onduit. Examples

More information

Learning Curves and Stochastic Models for Pricing and Provisioning Cloud Computing Services

Learning Curves and Stochastic Models for Pricing and Provisioning Cloud Computing Services T Learning Curves and Stohasti Models for Priing and Provisioning Cloud Computing Servies Amit Gera, Cathy H. Xia Dept. of Integrated Systems Engineering Ohio State University, Columbus, OH 4310 {gera.,

More information

Information Security 201

Information Security 201 FAS Information Seurity 201 Desktop Referene Guide Introdution Harvard University is ommitted to proteting information resoures that are ritial to its aademi and researh mission. Harvard is equally ommitted

More information

Variations in State-Level Definitions: Children with Special Health Care Needs

Variations in State-Level Definitions: Children with Special Health Care Needs Researh Artiles Variations in State-Level Definitions: Children with Speial Health Care Needs Nathaniel S. Beers, MD, MPA a,, Alexa Kemeny, MD Lon Sherritt, MPH Judith S. Palfrey, MD, SYNOPSIS Multiple

More information

Word Wisdom Correlations to the Common Core State Standards, Grade 6

Word Wisdom Correlations to the Common Core State Standards, Grade 6 Reing Stnrs for Informtionl Text Key Ies n Detils 1 Cite textul eviene to support nlysis of wht the text sys expliitly s well s inferenes rwn from the text. 6, 7, 12, 13, 18, 19, 28, 29, 34, 35, 40, 41,

More information

Income Protection CLAIM FORM

Income Protection CLAIM FORM Inome Protetion CLAIM FORM PLEASE COMPLETE THIS APPLICATION IN BLACK PEN ONLY USING BLOCK LETTERS 1 PERSONAL DETAILS Poliy numer Important notes: a This form must e ompleted in full and returned to PO

More information

Sebastián Bravo López

Sebastián Bravo López Transfinite Turing mahines Sebastián Bravo López 1 Introdution With the rise of omputers with high omputational power the idea of developing more powerful models of omputation has appeared. Suppose that

More information

TRANSMISSION LINES, PARAMETERS, AND APPLICATION IN COMMUNICATIONS SYSTEMS

TRANSMISSION LINES, PARAMETERS, AND APPLICATION IN COMMUNICATIONS SYSTEMS TRANSMISSION INES, PARAMETERS, AND APPIATION IN OMMUNIATIONS SYSTEMS Hank Javan, Jerry Newman University of Memphis Abstrat Transmission of information is arrie out by means of transmission meia, usually

More information

Availability, Reliability, Maintainability, and Capability

Availability, Reliability, Maintainability, and Capability Availability, Reliability, Maintainability, and Capability H. Paul Barringer, P.E. Barringer & Assoiates, In. Humble, TX Triplex Chapter Of The Vibrations Institute Hilton Hotel Beaumont, Texas February

More information

State of Louisiana Office of Information Technology. Change Management Plan

State of Louisiana Office of Information Technology. Change Management Plan State of Louisiana Office of Information Technology Change Management Plan Table of Contents Change Management Overview Change Management Plan Key Consierations Organizational Transition Stages Change

More information

An Enhanced Critical Path Method for Multiple Resource Constraints

An Enhanced Critical Path Method for Multiple Resource Constraints An Enhaned Critial Path Method for Multiple Resoure Constraints Chang-Pin Lin, Hung-Lin Tai, and Shih-Yan Hu Abstrat Traditional Critial Path Method onsiders only logial dependenies between related ativities

More information

UNIVERSITY AND WORK-STUDY EMPLOYERS WEB SITE USER S GUIDE

UNIVERSITY AND WORK-STUDY EMPLOYERS WEB SITE USER S GUIDE UNIVERSITY AND WORK-STUDY EMPLOYERS WEB SITE USER S GUIDE September 8, 2009 Table of Contents 1 Home 2 University 3 Your 4 Add 5 Managing 6 How 7 Viewing 8 Closing 9 Reposting Page 1 and Work-Study Employers

More information

Supply chain coordination; A Game Theory approach

Supply chain coordination; A Game Theory approach aepted for publiation in the journal "Engineering Appliations of Artifiial Intelligene" 2008 upply hain oordination; A Game Theory approah Jean-Claude Hennet x and Yasemin Arda xx x LI CNR-UMR 668 Université

More information

Chapter 5 Single Phase Systems

Chapter 5 Single Phase Systems Chapter 5 Single Phase Systems Chemial engineering alulations rely heavily on the availability of physial properties of materials. There are three ommon methods used to find these properties. These inlude

More information

A Keyword Filters Method for Spam via Maximum Independent Sets

A Keyword Filters Method for Spam via Maximum Independent Sets Vol. 7, No. 3, May, 213 A Keyword Filters Method for Spam via Maximum Independent Sets HaiLong Wang 1, FanJun Meng 1, HaiPeng Jia 2, JinHong Cheng 3 and Jiong Xie 3 1 Inner Mongolia Normal University 2

More information

Math 230.01, Fall 2012: HW 1 Solutions

Math 230.01, Fall 2012: HW 1 Solutions Math 3., Fall : HW Solutions Problem (p.9 #). Suppose a wor is picke at ranom from this sentence. Fin: a) the chance the wor has at least letters; SOLUTION: All wors are equally likely to be chosen. The

More information

Computer Networks Framing

Computer Networks Framing Computer Networks Framing Saad Mneimneh Computer Siene Hunter College of CUNY New York Introdution Who framed Roger rabbit? A detetive, a woman, and a rabbit in a network of trouble We will skip the physial

More information

INCOME TAX WITHHOLDING GUIDE FOR EMPLOYERS

INCOME TAX WITHHOLDING GUIDE FOR EMPLOYERS Virginia Department of Taxation INCOME TAX WITHHOLDING GUIDE FOR EMPLOYERS www.tax.virginia.gov 2614086 Rev. 07/14 * Table of Contents Introdution... 1 Important... 1 Where to Get Assistane... 1 Online

More information

User s Guide VISFIT: a computer tool for the measurement of intrinsic viscosities

User s Guide VISFIT: a computer tool for the measurement of intrinsic viscosities File:UserVisfit_2.do User s Guide VISFIT: a omputer tool for the measurement of intrinsi visosities Version 2.a, September 2003 From: Multiple Linear Least-Squares Fits with a Common Interept: Determination

More information

A Database Management Assessment Instrument

A Database Management Assessment Instrument 2012 Proeedings of the Informati Systems Eduators Cferene ISSN: 2167-1435 A Database Management Assessment Instrument Jeffrey P. Landry [email protected] J. Harold Pardue [email protected] Roy

More information