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Lecture Prototyping #8 February 9, 2006 Full PDS Due Schedule 2/14/06 Cost and Price of Products 2/16/06 Team Meeting Gantt Chart, Work Breakdown Structure Due Dr. Marie Guion University of Minnesota Information Please check with your advisors have they reviewed the mid-term schedule? midSKYPE Prototype Write down your definition of prototype. Ulrich and Eppinger..... Eppinger... "Anything which approximates the final product." product." Why prototype? Visualization purposes. To reduce risk and increase probability of success. But....they cost $$$ and time. But... 1 Styles Sketch Carved foam ProE Model Computer simulation Double or half scale Functional and non-functional nonEngineering model Display model Virtual Keyboard Prototype Cell phone 2013 We all expect the cellphone to get smaller while packing in an ever broadening array of functions. The real question is what it'll look it' like--inside and out in several like-- out years. To find the answer, we investigated dozens of on-theon- thebrink technologies, picking the brains of cellphone product engineers, industry analysts and lab researchers. They told us of cameras that zoom, screens that play Star Wars, and micro fuel cells that deliver days of continuous operation. ......Popular Science.... ......Popular Science... http://www.popsci.com/popsci/whatsnew/6ccf0e0796b84010vgnvcm 1000004eecbccdrcrd.html TV's of the future TV' Concept Car - Corvette Personal space vehicle - NASA 2 Porsche Le Mans Prototype 2 Prototype of Comanche Combat Helicopter Minos Light case crimping machine Class Exercise A furniture maker is considering a new line of chairs fabricated from a new plastic which can be cut, bent and bonded. Using cardstock create at least one prototype chair. You can sketch it first or jump right into creating a prototype. Algorithm prototypes *.exe file Computer code that has been commented. Steps to successful prototyping Clearly define the purpose...Why? purpose... What are you approximating (and not)? Determine the form of the prototype. cost, Determine construction plan. Test, gather data. 3 Purpose Technical feasibility Convincing the team it work? Fine tuning, working out the bugs. Typically done for a subsystem Engineering bench-model, "works-like" benchworks- like" Prototype subsystem...what do you have the subsystem... least amount of confidence in (strength, speed..) Concept Communication Focus group, trade show.. Testing customer reaction Convincing outside stakeholders. What/How to prototype Purpose defines what. Determine: works-like or looks-like workslooksDetermine: does it make more sense to do the equations, put it on autocad or go to the machine shop and build it? Consider virtual prototyping. Cheap/fast is good and usually sufficient. Watch out for time/$ costs. Prototyping Thoughts Dual prototypes are common. All stakeholders need to know what is real and what isn't. isn' Do it early and do it often. Go for simple and cheap. Foam-core or foam carved are effective for Foamlooks-like prototypes. looksDon't mix prototype with product. Don' Test and gather customer information. Try or twice scale models. Rapid prototyping New technology (1990's). (1990' "Art to part" CAD model to physical part" model. Good resolution, limited size and strength. Best for small plastic parts with complex physical shapes. U has Stratasys FDM 1650 Statasys FDM1650 rapid prototyping machine (www.stratasys.com). Turn your (www.stratasys.com). CAD file into a real part by "3-D printing". "3Parts formed from ABS plastic. Max size approx 6x6x6. Run times typically 2-6 2hours. Great resource which you should definitely take advantage of. It is very unusual for an engineering school to have its own RP machine. See TA for details. 4 WARNING Rapid is relative...can take several relative... iterations. Time consuming. Class Exercise #2 Determine what your design show booth will look like point out the prototypes. Do a perspective sketch. TURN THIS IN AT THE END OF CLASS. One per team. 02/14/06 Lecture #9 Cost and Price of Products Dana Lonn from Toro 5
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Minnesota >> ME >> 4054 (Fall, 2009)
On an index card, in five lines or less write your definition of: \"PROTOTYPE\" PROTOTYPE \"Anything which approximates the final product\" Ulrich & Eppinger, Chap. 10 WHY PROTOTYPE? Because you wish you had final product.but are not there yet To r...
Minnesota >> ME >> 4054 (Fall, 2009)
DfE Questionnaire Instructions: All questions are Yes/No/Don\'t Know. Add explanations where needed. (For example, if you respond \"Yes\" to one of the regulation questions, list the regulation(s) and why they apply.) Raw materials Do any of the raw ma...
Minnesota >> ME >> 4054 (Fall, 2009)
The ME4054 Design Show Basics to get you going for the show Layout for Spring 03 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 6 Notes: 6 : 30x72 inch table : chair : 68 inch wide display panel 6 Each booth gets One 30x7...
Minnesota >> ME >> 4054 (Fall, 2009)
IDENT OPP GATHER INFO DEFINE PROBLEM GEN CONCEPTS SCREEN CONCEPTS IMPLEMENT HANDOFF DETERMINING CUSTOMER NEEDS As practiced in ME4054 (Ref: Chap. 4, Ulrich & Eppinger text) Some ways to determine needs My advisor said, Do it this way Marke...
Minnesota >> ME >> 4054 (Fall, 2009)
Project COOLING ME 4054 Spring Semester 2009 Note that industry sponsored projects may require that you sign an intellectual property (patent) or confidentiality agreement. See course coordinator or project advisor for details. Project Description ...
Minnesota >> ME >> 4054 (Fall, 2009)
ME 5254 Canoe Lift Project, SQ 97 Updated Apr-7-97 Task MARKET RESEARCH Interview 25 customers Internet survey COMPETITION Brochures/ads/catalogs Sporting stores OTHER RESEARCH Patent search Duration 2w 2w Who dz,mp,sq kl 1 3 APRIL 8 10 15 17 22 24 2...
Minnesota >> ME >> 4054 (Fall, 2009)
Project LAPAROSCOPIC ME 4054 Spring Semester 2009 Note that industry sponsored projects may require that you sign an intellectual property (patent) or confidentiality agreement. See course coordinator or project advisor for details. Project Descrip...
Minnesota >> ME >> 4054 (Fall, 2009)
Project BULKHEAD ME 4054 Spring Semester 2009 Note that industry sponsored projects may require that you sign an intellectual property (patent) or confidentiality agreement. See course coordinator or project advisor for details. Project Description...
Minnesota >> ME >> 4054 (Fall, 2009)
ME 4054 1st SITE VISIT SCHEDULE 2/24-2/26 Tuesday 1:30-1:48 AUTOARRAY 1:50-2:05 ARM 2:10-2:25 SPRING 2:30-2:45 CENTERING 2:50 - 3:05 LAB 3:10 - 3:25 LIFT 3:55-4:10 COOLING 4:15-4:30 SKOTEE 4:35-4:50 JET 4:55-5:10 MERCURY 5:15 - 5:30 KNIFE ME18 ME L12...
Minnesota >> ME >> 4231 (Fall, 2008)
LAB 8 PID CONTROL 8.1. LAB OBJECTIVE The objective of this lab is to design and implement a PID (Proportional-Integral-Derivative) controller and to study the effect of integral and derivative control actions on the system. We will also learn about t...
Minnesota >> ME >> 4231 (Fall, 2008)
LAB 6 SERVOMOTOR OPEN LOOP FREQUENCY RESPONSE AND TRANSFER FUNCTION ESTIMATION 6.1. LAB OBJECTIVE The purpose of this lab is to experimentally determine the frequency response of a DC servomotor system. Experimental data will be obtained to create a ...
Minnesota >> ME >> 4231 (Fall, 2008)
Prelab: 10 points Postlab: 15 points LAB 5 DIGITAL FILTERING 5.1. LAB OBJECTIVE The purpose of this lab is to design and implement digital filters. You will design and implement a first order IIR (Infinite Impulse Response) filter and a second order...
Minnesota >> ME >> 4231 (Fall, 2008)
LAB 7 CLOSED LOOP POSITION CONTROL 7.1. LAB OBJECTIVE In this lab you will implement position control using simple proportional controllers. The response of the system to a step input will be experimentally determined and compared with theoretical va...
Minnesota >> ME >> 4231 (Fall, 2008)
LAB 10 INTRODUCTION TO LADDER LOGIC PROGRAMMING This lab consists of four parts: I. INTRODUCTION TO THE LAB EQUIPMENT: - Modicon Series Programmable Logic Controllers. - Taylor software for RLL(Relay Ladder Logic) programming. II. IMPLEMENTATION OF T...
Minnesota >> ME >> 4231 (Fall, 2008)
LAB 9 THE USE OF MATLAB AND SIMULINK AS A TOOL FOR CONTROL SYSTEM DESIGN 9.1. LAB OBJECTIVES The objectives of Lab 9 are a) To learn the use of Matlab and Simulink as tools for simulation and control system design. b) To identify the parameters of a ...
Minnesota >> ME >> 4231 (Fall, 2008)
LAB 8 PID CONTROL 8.1. LAB OBJECTIVE The objective of this lab is to design and implement a PID (Proportional-IntegralDerivative) controller and to study the effect of integral and derivative control actions on the system. We will also learn about th...
Minnesota >> ME >> 4231 (Fall, 2008)
Prelab: 10 points Postlab: 15 points LAB 4 A/D, D/A AND THE SAMPLING THEOREM 4.1. LAB OBJECTIVE Reading in voltages Writing out voltages Setting the sampling frequency Aliasing 4.2. BACKGROUND 4.2.1. Suggested Reading Read Chapter 2 \"Sensors and...
Minnesota >> ME >> 4231 (Fall, 2008)
ME4231 MOTION CONTROL LABORATORY FALL 2008 INSTRUCTOR Prof. Rajesh Rajamani Office: ME 203 Office Hour: Friday, 11.10 am 12.10 pm e-mail: rajamani@me.umn.edu LECTURE HOURS AND LOCATION Friday, 9.05 am 11.00 am, Rapson Hall 31 TEACHING ASSISTANTS TA...
Minnesota >> ME >> 4231 (Fall, 2008)
LAB 1 REPRESENTATION OF NUMBERS AND INTRODUCTION TO C 1.1. LAB OBJECTIVE The objective of this lab is to review binary numbers and to introduce you to the C programming language and the MATLAB environment. Specifically, you will learn: How to use th...
Minnesota >> ME >> 8337 (Fall, 2009)
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Minnesota >> ME >> 8390 (Fall, 2008)
International Journal of Non-Linear Mechanics 40 (2005) 151 164 www.elsevier.com/locate/nlm An unsteady analysis of non-Newtonian blood flow through tapered arteries with a stenosis Prashanta Kumar Mandal Department of Mathematics, Krishnath Colleg...
Minnesota >> ME >> 8381 (Fall, 2008)
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Minnesota >> IE >> 5551 (Fall, 2008)
Solution for Homework 2 March 10, 2008 1 Problem 2.11 cs = 500, co = 200 (Part a) G(Q ) = cs cs +co = 500 500+200 = 0.714 Q = + z0.714 = 10000 + 0.57 2500 = 11425. (Part b) News vendor model does consider lost sales vs. materials cost, and...
Minnesota >> IE >> 5551 (Fall, 2008)
Problem 1) 9-a) z *1 = A1 = 2000 j *1 = 1 A1 + h1 D2 = 2000 + 1200 = 3200 z * 2 = min * z 1 + A2 = 2000 + 2000 = 4000 j*2 = 1 z * * 3 A1 + h1 D2 + (h1 + h2 ) D3 = 2000 + 1200 + 1000 = 4200 = min z *1 + A2 + h2 D3 = 2000 + 2000 + 500 = 4500 ...
Minnesota >> ME >> 5103 (Fall, 2008)
Thermal Environmental Engineering, 3rd. Ed. T. H. Kuehn, J. W. Ramsey and J. L. Threlkeld Prentice-Hall ISBN 0-13-917220-3 First Printing Errata last updated 1/24/00 Ch. 2 p. 20 p. 27 p. 28 The first line of Eq. (2.36) should read; hw = 2501 + 1.86t ...
Minnesota >> ME >> 8381 (Fall, 2008)
BIOHEAT AND MASS TRANSFER ME 8381 Questions for lectures (1) Stabilization of biological structures in extreme environments and (2) Stabilization of biological structures in vitro Wim Wolkers Department of Mechanical Engineering; room: ME 138, e-mail...
Minnesota >> ME >> 8381 (Fall, 2008)
Storage and Translational Issues in Reparative Medicine MEHMET TONERa AND JEFFERY KOCSISb for Engineering in Medicine and Surgical Services, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA bNeuroscience aCenter Res...
Minnesota >> ME >> 8381 (Fall, 2008)
HT TOC Proceedings of IMECE04 2004 ASME International Mechanical Engineering Congress and Exposition November 13-20, 2004, Anaheim, California USA IMECE2004-61576 EFFECTS OF A CRYOPROTECTIVE AGENT ON THERMAL PROPERTIES OF SOLUTIONS AT SUBZERO TEMP...
Minnesota >> IE >> 5545 (Spring, 2008)
University of Minnesota IE 5545 Decision Analysis Spring 2008 Schedule/Credits: 5:45 P.M. 7:40 P.M., Tuesdays & Thursdays, Ackerman Hall 319, 4 credits Instructor: Professor Diwakar Gupta, ME 207, Tel: (612) 625-1810, Fax: (612) 625-4344 Email: gupt...
Minnesota >> ME >> 8390 (Fall, 2008)
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Minnesota >> ME >> 8341 (Fall, 2008)
ME8341 Advanced Heat Transfer (Fall 2007) Homework # 3 Due date : Friday Oct. 19 Homework 3-1 A portion of a solid cylinder 0 r b , 0 o ( < 2 ), 0 z L is at steady state. The boundaries at z = 0, = 0 , and = o are maintained at zero tempe...
Minnesota >> ME >> 8341 (Fall, 2008)
Advanced Heat transfer I Heat conduction (Bischof) Fall 2004. Homework #1 Due date: September 24th 1. Show that the following three different forms of the differential operator in the spherical coordinate system are equivalent. 1 d 2 dT 1 d 2 d 2T...
Minnesota >> ME >> 8381 (Fall, 2008)
Freezing of living cells: mechanisms and implications MAZUR, PETER. Freezing of living cells: mechanisms and implications. Am. J. Physiol. 247 (Cell Physiol. 16): C125-C142, 1984.-Cells can endure storage at-low temperatures such as -196C for centuri...
Minnesota >> ME >> 8381 (Fall, 2008)
Bioheat Transfer Valvano, page 1 Bioheat Transfer Ken, I started with Equation 1, Figure 1, Table 1, Reference 3. Jonathan W. Valvano Biomedical Engineering Program Department of Electrical and Computer Engineering The University of Texas at Austin...
Minnesota >> IE >> 5551 (Fall, 2008)
Errata for Second Edition, First Printing page 68, line 12: \"z=0.67\" should be \"z=0.44\" page 71: Equation (2.23) should read B( R ) = - [1 - G( x)] x =0 R -1 page 74, line 8: should be page 100: Equation (2.63) should read B( R ) = ( x - R...
Minnesota >> ME >> 8341 (Fall, 2008)
ME8341 Advanced Heat Transfer (Fall 2007) Homework # 2 Due date : Monday Oct. 8 2007 Homework 2-1 Given the 2nd order linear homogeneous ODE and the general homogeneous BC at x = a and x = b as defined by Sturm- Louiville and discussed in class, ple...
Minnesota >> IE >> 8534 (Fall, 2008)
A Robust Optimization Perspective of Stochastic Programming Xin Chen Melvyn Simand Peng Sun , December 2004 Revised: June 2005 Abstract In this paper, we introduce an approach for constructing uncertainty sets for robust optimization using new devia...
Minnesota >> IE >> 8534 (Fall, 2008)
Robust Discrete Optimization and Network Flows Dimitris Bertsimas Melvyn Sim January 2002; revised September 2002 Abstract We propose an approach to address data uncertainty for discrete optimization and network ow problems that allows controll...
Minnesota >> IE >> 8534 (Fall, 2008)
Advanced Topics in Operations Research: Nonlinear Programming IE 8534 The course will start with basic Nonlinear Optimization techniques based on First Order (gradient), Second Order (Newton) and Quasi-Newton approaches. The main emphasis will be on ...
Minnesota >> IE >> 8534 (Fall, 2008)
eYE! Re4 hIrY R ` fx d b V b i d g V V b gx V g V d V ` xx i d V f V b i V d q b V i X gx i i !eeh#r#YrY1YaYerrR e\'WahrYEeEeh#R\'ERrq V d gx dx i X V V y i y gx ` i b X X ` b g ix d ` ...
Minnesota >> IE >> 8534 (Fall, 2008)
Robust Linear Optimization under General Norms Dimitris Bertsimas Dessislava Pachamanova Melvyn Sim February, 2003, revised; December, 2003 Abstract We propose a framework for robust modeling of linear programming problems using uncertainty sets de...
Minnesota >> IE >> 8534 (Fall, 2008)
Journal of Machine Learning Research 3 (2002) 555-582 Submitted 5/02; Published 12/02 A Robust Minimax Approach to Classication Gert R.G. Lanckriet Laurent El Ghaoui Chiranjib Bhattacharyya Michael I. Jordan gert@eecs.berkeley.edu elghaoui@eecs.ber...
Minnesota >> IE >> 8534 (Fall, 2008)
Advanced Topics in Operations Research Nonlinear Programming IE8534 Section 02, Spring 2006, Phys 166. Instructor: Bharath Rangarajan Office: ME313 Phone: (612) 626 2667 Email: bharathr@me.umn.edu Office hours: by appointment. Course webpage: http:...
Minnesota >> IE >> 8534 (Fall, 2008)
Math. Program., Ser. A 99: 351376 (2004) Digital Object Identier (DOI) 10.1007/s10107-003-0454-y A. Ben-Tal A. Goryashko E. Guslitzer A. Nemirovski Adjustable robust solutions of uncertain linear programs Received: September 18, 2002 / Accepted:...
Minnesota >> IE >> 8534 (Fall, 2008)
Math. Program., Ser. B 98: 4971 (2003) Digital Object Identier (DOI) 10.1007/s10107-003-0396-4 Dimitris Bertsimas Melvyn Sim Robust discrete optimization and network ows Received: January 1, 2002 / Accepted: September 24, 2002 Published online: Ma...
Minnesota >> IE >> 8534 (Fall, 2008)
$ s$qquq ot \' Fq $eu$%u}od\' w%4u 4\'}ug g quow \" u $ii\"}u#oT}$uqu$g$ $6%q ouu} TowE%ougouie#g$}6%uuuV}toV9$g6u%quuu}$ ~ ~z v...
Minnesota >> IE >> 8534 (Fall, 2008)
Robust Conic Optimization Dimitris Bertsimas March 2004 Melvyn Sim y Abstract In earlier proposals, the robust counterpart of conic optimization problems exhibits a lateral increase in complexity, i.e., robust linear programming problems (LPs) becom...
Minnesota >> IE >> 8534 (Fall, 2008)
usIpu(sn7su (un(IuTABups@uB5n({(7n(uTun(sgyu 6s{unu(7XyB@uuusnu{y(p 5uTuu~s u(ussghuAn6s{uB67SI(6p 3T6s{({ 7u u@ (u T u zSpg~Au@~ey~A}pyy{~eDypy Szpz~r~}| ppw{zu |u zpz~ey wx y ux u | ux w w| x ...
Minnesota >> IE >> 8534 (Fall, 2008)
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Minnesota >> ME >> 8281 (Fall, 2008)
ME8281 - Fall 2001, Fall 2002, Spring 2006 (c) Perry Li Robust stability and Performance Topics: ([ author ] is supplementary source) Sensitivities and internal stability (Goodwin 5.1-5.4) Modeling Error and Model Uncertainty (Goodwin 4.12-4.13,...
Minnesota >> ME >> 8381 (Fall, 2008)
Biophysical Journal Volume 88 January 2005 647660 647 Kinetics of Intracellular Ice Formation in One-Dimensional Arrays of Interacting Biological Cells Daniel Irimia* and Jens O. M. Karlssony *Center for Engineering in Medicine and Surgical Serv...
Minnesota >> ME >> 4054 (Fall, 2009)
Technical Memo, Week 11 Fatigue Loading Demonstration Apparatus {Student Name} November 26, 2001 Accomplishments, 11/20-11/26/2001 Modeling the pedal crank: I constructed the loading diagrams for the bicycle spindle to determine the best point for m...
Minnesota >> ME >> 8381 (Fall, 2008)
Technology in Cancer Research & Treatment ISSN 1533-0346 Volume 3, Number 2, April (2004) Adenine Press (2004) Parametric Analysis of Intercellular Ice Propagation During Cryosurgery, Simulated Using Monte Carlo Techniques www.tcrt.org A microscale ...
Minnesota >> ME >> 8381 (Fall, 2008)
THE CRYOBIOLOGY OF CRYOSURGICAL INJURY NATHAN E. HOFFMANN, AND JOHN C. BISCHOF ABSTRACT Cryosurgery, or tissue destruction by controlled freezing, has been investigated as a possible alternative to surgical intervention in the treatment of many dis...
Minnesota >> ME >> 8381 (Fall, 2008)
...
Minnesota >> ME >> 8381 (Fall, 2008)
Cryobiology 48 (2004) 821 www.elsevier.com/locate/ycryo Direct cell injury associated with eutectic crystallization during freezingq Bumsoo Hana and John C. Bischofa,b,* b a Department of Mechanical Engineering, University of Minnesota, Minneapolis,...
Minnesota >> ME >> 8381 (Fall, 2008)
RECENT ADVANCES IN CRYOBIOLOGY USING CALORIMETRY Ramachandra V. Devireddy, Department of Mechanical Engineering, Louisiana State University, Baton Rouge, LA 70803 Email: devireddy@me.lsu.edu John C. Bischof, Department of Mechanical Engineering, Uni...
Minnesota >> ME >> 3221 (Fall, 2008)
ME 3221 - Spring 2009 Fatigue Strength Calculation Process Name: March 11, 2009 Fatigue Strength Calculation, General Biaxial State of Stress, Ductile Material 1. Compute each of the following at the worst stressed point (or every candidate worst s...
Minnesota >> SOC >> 3101 (Fall, 2008)
TheDebateonRehabilitatingCriminals:IsItTruethatNothingWorks? byJeromeG.Miller,D.S.W. (PrintedintheWashingtonPost,March1989) Lateonegloomywinterafternoonin1980,NewYorksociologistRobertMartinson hurledhimselfthroughaninthfloorwindowofhisManhattanapart...
Minnesota >> PUOT >> 1001 (Fall, 2009)
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Minnesota >> CLAR >> 0514 (Fall, 2008)
Chapter 17 Religion in Modern Society 1 Outline The Sociological Study of Religion Theories of Religion Types of Religious Organizations Gender and Religion World Religions Religion in the United States Globalization and Religion 2 The So...
Minnesota >> BRIEL >> 001 (Fall, 2009)
= ZENIT News Agency, The World Seen from Rome = Media Blindness on Bioethics Mainstream Press in U.S. Showing Their Bias, Again NEW YORK, FEB. 16, 2002 (Zenit.org).- Can we believe all we read and see in the mass media? Recent examples of media bias ...
Minnesota >> PAKH >> 0002 (Fall, 2009)
CURRICULUM VITAE Serguei V. Pakhomov, Ph. D. Division of Biomedical Informatics Mayo Clinic, Rochester, MN pakhomov.serguei@mayo.edu (507)-538-1774 (work) EDUCATION 2005-present Mayo Clinic, Rochester, MN NIH Fellowship in Clinical Research 2002-20...
Minnesota >> ELLIO >> 023 (Fall, 2009)
article Adventure! Comedy! Tragedy! Robots! How bioethicists learned to stop worrying and embrace their inner cyborgs Carl Elliott Associate Professor, Center for Bioethics, University of Minnesota Keywords Biotechnology, biomedical enhancement, ge...
Minnesota >> BARKE >> 042 (Fall, 2009)
Supporting Text Taxon Sampling.We sampled exemplars of every passerine family recognized by Sibley and Monroe (1), save one, the monotypic oscine passerine family Hypocoliidae (Table 3), whose single species (Hypocolius ampelinus) is distributed thro...
Minnesota >> HELLM >> 001 (Fall, 2009)
Maximality vs. Extendability: Reections on Structuralism and Set Theory Georey Hellman Contents 1 Introduction 1 2 The Dual Role of Set Theory: as Universal Framework and as Part of Mathematics 4 3 Zermelo (1930) 4 McGee (1997) 5 Zermelo* (2000) 6 ...
Minnesota >> JEWEL >> 001 (Fall, 2009)
UNO The UNiversal Organizer p.k.borzo2003 Send comments, suggestions, to paul.borzo@metrostate.edu Now available online at http:/www.metrostate.edu/writingcenter/uno.html The UNiversal Organizer p.k.borzo2003 Send comments, suggestions, to pau...
Minnesota >> CI >> 5336 (Spring, 2008)
Concrete Surface brings everything together visually: What will the finished product look like? surface skeleton Skeleton makes structure concrete: What components will enable people to use the site? structure Structure gives shape to scope: How...
Minnesota >> CI >> 5336 (Spring, 2008)
offering training that is irrelevant, unnecessary, harmful, or simply lacking in value. NEEDS ASSESSMENT AND PERFORMANCE-BASED INSTRUCTION (edited excerpt from D. Brethower & K. Smalley. (1998). Performance-Based Instruction San Francisco: Jossey-Bas...
Minnesota >> CI >> 5336 (Spring, 2008)
Dales Cone of Experience People Generally Remember 10% of what they read 20% of what they hear 30% of what they see 50% of what they hear and see 70% of what they say and write 90% of what they say as they do a thing People are Able to (Learning Out...
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