1 Page

decisionmatrix

Course: ENGR 301, Fall 2008
School: Nevada
Rating:
 
 
 
 
 

Word Count: 203

Document Preview

Matrix Decision Time Frame Innovation Coolness Factor Weighting Factors 10 10 5 Option A Team member 1 10 3 4 Team member 2 9 5 4 Ranking 19 8 8 Weighting Factors 190 80 40 Option B Team member 1 8 8 10 Team member 2 9 10 9 Ranking 17 18 19 Weighting Factors 170 180 95 In this case, Option B wins. First of all, you list all of your design options. Then, list all of your restraints across the top. For each...

Register Now

Unformatted Document Excerpt

Coursehero >> Nevada >> Nevada >> ENGR 301

Course Hero has millions of student submitted documents similar to the one
below including study guides, practice problems, reference materials, practice exams, textbook help and tutor support.

Course Hero has millions of student submitted documents similar to the one below including study guides, practice problems, reference materials, practice exams, textbook help and tutor support.
Matrix Decision Time Frame Innovation Coolness Factor Weighting Factors 10 10 5 Option A Team member 1 10 3 4 Team member 2 9 5 4 Ranking 19 8 8 Weighting Factors 190 80 40 Option B Team member 1 8 8 10 Team member 2 9 10 9 Ranking 17 18 19 Weighting Factors 170 180 95 In this case, Option B wins. First of all, you list all of your design options. Then, list all of your restraints across the top. For each constraint, develop a weighting factor. A weighting factor is how important it is. For example, meeting the time constraints is more important than being cool, so it gets a 10. Have each person rank the options on a scale of 1 10 to with 10 being the highest. In other words, if it is very feasible (you know you will finish it for sure) to get Option A done in the semester, it would receive a score of 10. If you are 80% sure that Option B would be completed, you score as an 8. Repeat the scoring system for each criteria. Then, add all of the rankings. Multiply the rankings times the weighting factor. Th...

Find millions of documents on Course Hero - Study Guides, Lecture Notes, Reference Materials, Practice Exams and more. Course Hero has millions of course specific materials providing students with the best way to expand their education.

Below is a small sample set of documents:

Nevada - ENGR - 301
Nevada - ENGR - 301
Presentation Stage 1 Arranging room appropriately Prepared presentation notes and media in advance Displaying practiced and rehearsed characteristics Following presentation notes Staying focused on topic Being a good audience member Demonstrating goo
Nevada - ENGR - 301
Metropolitan State College of Denver - OSM - 20082009
P3 SUBCOMMITEE MEETING Monday, June 1, 2009 3:30 -5:00 p.m. Bookhardt & O'Toole 999 18th Street South Tower - Suite 2500 Denver, CO 80202AGENDA 1. Report on the Hotel Project 2. Report on the Neighborhood Project 3. Requests for Proposals
Purdue - ECE - 495
Computer Systems: Operating SystemsComputer Systems Microarchitectures Low-level Programming Input/Output Interfaces Instruction Sets Computing Structures Logic Transistors Bits 2009 Vijaykumar ECE495K Lecture Notes: OS 1Our LC-3 model so farOne
Purdue - ECE - 495
FinalECE495kECE495k FinalMay 3 2008NAME: There are 8 pages (including this one) in this exam. Assessment: This exam is worth a total of 100 points. There are a total of 7 problems, some with several subproblems. Each question should take no m
Purdue - ECE - 495
ECE 495K C Programming TutorialThis tutorial is designed to show you how to use the C compiler lcc-win32. While there are many C compilers out there, this is one that is portable that can be used on the ITaP machines. If you prefer to use a differen
Laurentian - BIOL - 200901
Biology 3850A Aquatic Ecology Time: Monday/Wednesday/Friday 10:00-10:50 AM, Jan 07-Apr 17, 2009 Place: WE 1001 Instructor: Dr. Joseph B. Rasmussen-office hours by appt. Professor, Department of Biological Sciences Canada Research Council Chair in Aqu
Laurentian - BIOL - 200901
Large urban centers have begun to worry about the sustainability of their water supplies Watershed management has become an important issue.http:/www.catskillaccommodations.com/maps/images/ny100b.gifThe water supply for the Toronto and surroundin
Laurentian - BIOL - 200901
Stream orderAnother way to look at a drainage system is to treat it as a hierarchical networkHow to calculate stream order Stream order increases by 1 each time two streams of the same order join No change in stream order occurs when two streams o
Laurentian - BIOL - 200901
As you move down a watershed, the drainage area increases and the discharge increasesQ=r*DASince Q as DA downstreamx1 x2 x3Stream cross-sectionand Q=w*v*d Then d, w, and v all tend to increase downstream as WA increases.x1 x2 x3x4x4w
Laurentian - BIOL - 200901
Fish and other aquatic biota that live in rivers and streams have to contend with the variability of the flow regime. How variable is runoff/discharge? From year to year? From month to month From day to dayCrowsnest River 4th order, around 3-4 m3/s
Laurentian - BIOL - 200901
Short-term response to a precipitation eventThe hydrographHow would you expect deforestation to influence this response? -Consider the terms of the hydrological balance equationHuman activities can markedly influence the shape of the hydrograph
Laurentian - BIOL - 200901
Stream biology can be greatly impacted when watersheds are hydrologically disturbed by deforestationScouringflashiness of the hydrograph scour and gravel shift. Siltation overland flow vs percolation fine particle transport to streams.plug up inte
Laurentian - BIOL - 200901
Standing Water lakes and ponds Lakes result from either barriers to drainage or when depressions (or excavations) form along a drainage system Majority of lakes are found in glaciated areas and are formed by glacial action Others are formed in river
Laurentian - BIOL - 200901
Cirque lakes in the rockies Glaciers in headwater valleys tend to scour out a bowl shaped basin and the excavated material forms a moraine at the lake outflow that maintains the lake level after the glacier has receded. Drainage in Moraine lake was f
Laurentian - BIOL - 200901
Crater Lake, Oregon -589 m deep and possibly the clearest lake in the world, Transparency up to 90 m. Thermocline very deep for its size No rooted plants. Mud doesn't accumulate on the bottom till > 90 m depth Why is this lake so different from most
Laurentian - BIOL - 200901
Lakes partition themselves into temperature zones Thermal stratification in lakesIn deep lakes only the surface layers are well mixed and quite warm, whereas the deeper parts remain cold. The thermocline occurs deeper in large lakes because wind ene
Laurentian - BIOL - 200901
An undisturbed sediment core containing varves from the deposition zone of a deep lake The varves can be used to calculate dates along the core profilePaleolimnology-Pollen stratigraphy in lake sediment coresCores can be dated with radioisotopes
Laurentian - BIOL - 200901
The extinction coefficient k increases with: the concentration of organic matter (colour) of the water the amount of suspended matter eg, phytoplankton, fine suspended particles, eg clayDifferential absorption by wave length gives water colourRed
Laurentian - BIOL - 200901
Hydrodynamics How organisms cope with the forces imposed on them by a dense and viscous mediumThe Boundary layer At the interface between moving water and a stationary substrate, the water velocity is 0, i.e. "no slip" condition This means that the
Laurentian - BIOL - 200901
Primary Productivity of lakes and rivers 1.) Of whole water columns (no container) Diurnal O2 method 2.) Of phytoplankton (bottles in situ) Dark and light bottle O2 method 14C uptake methodMid-day mg/L O2 2 4 6 8 10 2Nightime mg/L O2 4 6 8 105
Laurentian - BIOL - 200901
Depth profile of photosynthesis-how to obtain areal estimate from volumetric 1.0 mgC/m3/do 1.0 m o oprimary production decreases at highest light intensity1 mgC m do-2-1medium light intensity, highest primary productionoLow light i
Laurentian - BIOL - 200901
The seasonal dyanamics of the phytoplankton in lakesTemperature adaptations of different algal groups Thermal stratification, sinking rates and nutrient dynamics Food-web interaction-effects of grazing zooplankton mid-summer low biomass community sh
Laurentian - BIOL - 200901
Factors that influence primary producers biomass, productivity, diversity Light Temperature Flow of water Consumers Scouring action of floods Toxic substances NutrientsChemical substances required for biomass to grow.Any of the 13 or 14 essential ele
Laurentian - BIOL - 200901
<?xml version="1.0" encoding="UTF-8"?> <Error><Code>NoSuchKey</Code><Message>The specified key does not exist.</Message><Key>7b7898098ee5baec2925b03476d0596de18d61df.ppt</Key><RequestId>8 8CFA07496068BCD</RequestId><HostId>+roWkXgp6ZmKUu+0SgybEsPMH1a
Laurentian - BIOL - 200901
Carbon in the form of CO2, HCO3- and CO3-2, are oxidized forms of C, and tend to be the only forms present where O2 is plentiful. In anoxic environments methanogens (Archaea) convert organic C and CO2 into methane (CH4). Methane is a gas and can bubb
Laurentian - BIOL - 200901
The Cycling of Nitrogen N is an important nutrient that frequently limits primary productivity in aquatic ecosystems It is rare in the earth's crust, but makes up 79% of the atmosphere (N2) (oxidation state =0) Most algae and plants require NO3(+5) (
Laurentian - BIOL - 200901
Streams draining mine tailings are extremely acidic-the effect of Thiobacillus ferrooxidans oxidizing sulfur and iron in pyrite minerals. What kind of bacteria are these?The Sulfur cycle has many important effects on Aquatic EcosystemsChemohetero
Laurentian - BIOL - 200901
Lakes have zonation structured by physical forces such as light, wind and waves.different zones in the lake had different types of plants and animalsZones in a river system are less distinct But they are functionally very importantThe River Con
Laurentian - BIOL - 200901
The food webDeath and sedimentationPrimary producersA1A2inedibleDDetritus and associated Microflora (bacteria/fungi)Primary consumersH1H2detritivoreherbivorePProductivitySecondary Productivity: Primary production supports a
Laurentian - BIOL - 200901
Intensive aquaculture can produce yields that are orders of magnitude beyond natural ecosystemsHow to maximize energy flow to fishIncreased nutrient loading-fertilization + ammonia and anoxia tolerant species Shortening the food chain-primary cons
Laurentian - BIOL - 200901
Fisheries Management using a population modeldB = rB = (b - m) B dt r is called the intrinsic rate of increase b is the per capita birth rate, m is per capita death rate Bt = B 0e (b - m ) t or B 0e rt This is called exponential growthb<m b=m b>m
Laurentian - BIOL - 200901
Constant Quota fishing at levels approaching the MSY shortens the biomass range the population will recover, and the likelihood of entering the danger zone increases. Once the danger zone is entered fishing must stop or be severely curtaileddB dtr
Laurentian - BIOL - 200901
Relationships between fish predators and prey Bottom up Richer systems have higher productivity at all trophic levels Enrichment usually increases the biomass of the top trophic level in the web and their preys prey. Top down Predators usually reduce
Laurentian - BIOL - 200901
Biology 3800 Aquatic EcosystemsThe course deals how freshwater aquatic ecosystems function. It deals with the topics of energy flow and nutrient cycling, how they involve aquatic organisms, and how they are shaped by physical processes in lakes, riv
Laurentian - BIOL - 200901
PracticeQuestions:Essaytopics 1.) Thebiologicalcommunitiesoflakeshaveoftenbetweengreatlyimpactedbyhuman activities,andthesecanleadtodeclinesinwaterqualityassociatedwithexcessivealgal throughbothbottomupandtopdownmechanisms.Explainthedifferencebetween
Laurentian - BIOL - 200901
<?xml version="1.0" encoding="UTF-8"?> <Error><Code>NoSuchKey</Code><Message>The specified key does not exist.</Message><Key>dab9ceac4a5323623f866265571ab67dd3c53a2a.doc</Key><RequestId>2 3B68F09C5C8AFB8</RequestId><HostId>wA1CmUP+1JQqSenonDIqJqFei9S
Laurentian - BIOL - 200901
I.) Multiple Choice. You might expect about 20 multiple choice questions more or less like these examples on the exam. They would be worth 1 mark each. 1.) On a graph of average stream discharge (m3/sec) (y-axis) against watershed area (km2) (x-axis)
Laurentian - BIOL - 200901
I.) True/False Essential nutrients are always important limiting factors to production T, F. Lakes with high N:P loading ratios are more likely to have their primary production N limited T, F Decomposition rate of detritus generally decreases as its
Georgia Tech - CS - 4750
ErrorsError types Preventing ErrorsAgendarError Prevention Error types Slip types Error prevention guidelines Error recovery guidelinesOct 20, Fall 2000 CS 47502ErrorsrErrors Avoiding and preventing Identifying and understan
Metropolitan State College of Denver - SLEHMAN - 1800
new information"Where does it fit?" Accommodation fits no fitAssimilation+=create new scheme
Metropolitan State College of Denver - SLEHMAN - 1800
Cognitive TheoriesInformation ProcessingTime flies like an arrow, fruit flies like a banana.To the ModelWhat is "learning" What does it mean when we say we learn something? Wh t happens? What h ? How does it happen?What helps you learn?
Metropolitan State College of Denver - SLEHMAN - 1800
Managing Surface Behavior of Students(Adapted from: Conflict in the Classroom, Long, Morse, and Newman. Belmont, California: Wadsworth (3rd Ed.), 1976. Pp. 308-316). The following techniques are designed to be used by a teacher to maintain the surfa
Metropolitan State College of Denver - SLEHMAN - 1800
11/6/2008Development in the Content DomainsGoals: Discuss the traditional content domains and the psychology principles related to these domainsGeneral trends Increasing background knowledge enables increased sophistication in thinking. In
Metropolitan State College of Denver - SLEHMAN - 3340
Exam 2 Review: Chapters 3-5Chapter 3: Memory Explain the differences between strength and activation Understand how working memory activity influences formation of permanent memories. Know the difference between the different types of knowledge o
Metropolitan State College of Denver - SLEHMAN - 3340
10/1/2008Ch4:HigherOrderThinking& ProblemSolving gInstructionalObjectives: 1.Beabletoidentifyanddefinethedifferenttheoretical perspectivesofhighorderthinkingandproblemsolving 2.Understandthebasicconceptsoftransfer 3.Beabletoapplythisresearchtoinst
Metropolitan State College of Denver - SLEHMAN - 3340
What teachers can do:-Short-term goals with feedback on progress -ZPD - "challenging but do-able" -Strategy instruction -Performance contingent rewardsbehavioristi gnitiveextrinsic problems:potency satiation underminingDeci & Ryanintrinsics
Metropolitan State College of Denver - SLEHMAN - 1800
Review: Exam 1- Chs. 1, 2, 4, & 6 Developmental Educational PsychologyChapter 1: Developmental Overview Know the difference between nature and nurture and how this applies to developmental theories Know the difference between universality and dive
Acton School of Business - PHYS - 102
Acton School of Business - PHYS - 102
New York Institute of Technology - CSCI - 370
HW#1: Page 81: 5, 8, 15 5. No. The speed of propagation is 200,000 km/sec or 200 meters/usec. In 10 usec the signal travels 2 km. Thus, each switch adds the equivalent of 2 km of extra cable. If the client and server are separated by 5000 km, travers
New York Institute of Technology - CSCI - 370
HW#2: Page 179: 20, 23, 24, 28, 39, 44, 47, 50, 53, 55 20. Like a single railroad track, it is half duplex. Oil can flow in either direction, but not both ways at once. 23. The phase shift is always 0, but two amplitudes are used, so this is straight
New York Institute of Technology - CSCI - 370
HW #3: P243 2, 3, 5, 10, 14, 15 2. The solution is (a) 00000100 01000111 11100011 11100000 01111110 (b) 01111110 01000111 11100011 11100000 11100000 11100000 01111110 01111110 (FLAG A B ESC ESC ESC FLAG FLAG) (c ) 01111110 01000111 110100011 11100000
New York Institute of Technology - CSCI - 370
HW#4: (P477) 33. No problem. Just encapsulate the packet in the payload field of a datagram belonging to the subnet being passed through and send it. 39. The mask is 20 bits long, so the network part is 20 bits. The remaining 12 bits are for the host
New York Institute of Technology - CSCI - 370
HW#5: (P477) 33, 39, 40, 41, 42, 43 33. No problem. Just encapsulate the packet in the payload field of a datagram belonging to the subnet being passed through and send it. 39. The mask is 20 bits long, so the network part is 20 bits. The remaining 1
New York Institute of Technology - CSCI - 370
Team Project AssignmentCSCI-370-W01 and EENG-480-W01 Fall 2006 Topics: 1. A survey on Ethernet The survey should investigate technical aspects of Ethernet, including Fast Ethernet, Gigabit Ethernet, and retrospective on Ethernet. 2. A survey on Wire
New York Institute of Technology - CSCI - 370
Review for Chapter 5 HW#4: (P477) 33. No problem. Just encapsulate the packet in the payload field of a datagram belonging to the subnet being passed through and send it. 39. The mask is 20 bits long, so the network part is 20 bits. The remaining 12
New York Institute of Technology - CSCI - 370
Review for Chapter 5 HW#5: (P477) 33, 39, 40, 41, 42, 43 33. No problem. Just encapsulate the packet in the payload field of a datagram belonging to the subnet being passed through and send it. 39. The mask is 20 bits long, so the network part is 20
New York Institute of Technology - CSCI - 370
CSCI370: Introduction to Computer Networks Chapter 8: Network Security By Dr Tao Zhang School of Engineering and Computing Sciences06/08/09 1Outline Cryptography SymmetricKey Algorithms PublicKey Algorithms Digital Signatures Mana
New York Institute of Technology - CSCI - 370
vti_encoding:SR|utf8-nl vti_timelastmodified:TR|02 Feb 2007 01:34:51 -0000 vti_extenderversion:SR|6.0.2.5516 vti_backlinkinfo:VX|public_html/CSCI-370-W01-SP07.htm