ENGR131_FA10_Purzer_5a

ENGR131_FA10_Purzer_5a - 5A Click to edit Master subtitle...

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Click to edit Master subtitle style 4/24/11 ENGR131 Transforming Ideas to Prof. Purzer & GTA Masaki Kakoi Section 002 11 5A
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4/24/11 Milestone 1 Survey Please go to In-Class Activities _ Week 5 folder Complete the Milestone #1 survey 22
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4/24/11 Feedback on Milestone #1 System analysis 33
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4/24/11 Design Processes – Recap Concept Generatio n Problem Scoping Project & Criteria Constraint s Concept Reduction Concept Selection Refining Final Solution Problem Statement Evaluation of Solution Gathering Information, Communicatio n, Modeling, Iteration Is the design process linear? What’s missing?
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4/24/11 Tools for thinking: systems supplier produce r processi ng plant distribut ion center grocery store www.rprogr
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4/24/11 Tools for thinking: systems supplier produce r processi ng plant distribut ion center grocery store fertilizers pesticides seeds machiner y truck machiner y truck machiner y truck truck food waste freezer freezer freezer packagin g www.rprogress
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4/24/11 Purzer
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Click to edit Master subtitle style 4/24/11 Fall Break M1: 4B Problem Scoping M2: 7B Criteria and Constraints M3: 9B Concept Generation M4: 11B Concept Reduction/Selection 15B: Final Report/Proposal EXAM 1: ELLT 116 Tuesday, Sept. 28, 2010 6:30 PM to 7:30 PM EXAM 2: ELLT 116 Monday, Nov. 1, 2010 6:30 to 7:30 PM Practical Exam: ± Stats & Excel ± Sustainability ± Teamwork Constraints ± Diversity Design Data Analysis Rio Platano Biosphere Reserve in Honduras, a UNESCO World Heritage Site Thanksgivin g Proposal writing
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4/24/11 Exam #1 Sample questions are on blackboard Exam Review & Office hours Regular Office Hours: I2I Lab, Mon-Thr (7-9pm) Exam Review with Dr. Oakes: EE 129 on Sunday, Sept. 26 (6-8pm) 99
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4/24/11 Model-Eliciting Activities (MEAs) Realistic open-ended problems with direct and indirect users in need of a problem solution Require team of problem solvers Product is the process for solving the problem End product is a mathematical
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4/24/11 What is a Model? A model is a system for interpreting, explaining, describing, thinking about …. another system. A mathematical model uses mathematics (e.g. geometry, statistics, logic, …) to interpret another system.
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4/24/11 Model Development Process 1. Understanding the Context of the Problem / System to be Modeled 1. Express / Test / Revise a Working Model Express (develop the model) the procedure Test (evaluate the model) the procedure Revise (re-develop model) the procedure 1. Evaluate the Working Model
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4/24/11 Model Development is similar to Identify a system to be explained by a model Define the goals for the model What are the conditions of its performance? e.g. limits, precision Explore options for constructing model Gather information, make assumptions Build model and test for specific conditions Compare results of model with actual performance of a “system” Revise Model Accept Model for use as a Tool (under specific conditions) Anticipate and select which version of a model will be used Model predicts specific conditions Model does not predicts specific conditions or is incomplete
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4/24/11
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ENGR131_FA10_Purzer_5a - 5A Click to edit Master subtitle...

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