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GNG2101 (2)
Midterm

GNG2101 Midterm: Midterm Review
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Department
General Engineering
Course
GNG2101
Professor
Patrick Dumond
Semester
Fall

Description
GNG 2101 MIDTERM CONCEPTS SOFTWAREAGILE DESIGN MODEL o Early delivery of product o Constant refinement of WORKING products LECTURE 1 INTRODUCTION o Meant to be adaptable DESIGN THEORY: implementing design thinking o Dependent on customer feedback o Series of steps; problem identification, generating criteria, THE CATHEDRAL AND THE BAZAAR solution generation, etc. o Cathedral details given with product release, development restricted to exclusive group DESIGN PRACTICE: exercising good communication skills o Customer based, design, conflict management, customer o Bazaar products not detailed (open source), developed feedback, teambased work, etc. online, gifted to market, best designs survive EVOLUTIONARYINCREMENTAL DESIGN: improving EXISTING WISDOM OF THE CROWD aggregate answers are better than individual answers solutions o Usually due to advancements in technology or research GNG2101 DESIGN MODEL INNOVATION: new or original ideas o Refinement loop trying to identify real problem SOLUTIONS TO COMMON DESIGN ERRORS (design mantra) o Delay decisions until problem is well understood o Persistence loop trying to get solution to work based on resources and constraints o Develop models that actually SOLVE the issue o Test prototypes using structured methods o Centre of each loop is testing and verifying o Generate multiple solutions (have alternatives) o Consider all pros and cons based on data LECTURE 3 DESIGN THINKING o Document all progress (lab book) PERSONALITY: stable patterns of behaviour and internal states DESIGN THINKING an approach to solving problems by that determine how individual reacts tointeracts with others understanding USER NEEDS o Can be genetic or inherited o Empathize asking openended questions, trying to go o FIVE MAJOR PARTS beyond technical aspects into emotional ones o Define summarize needswantsinsights, create Openness to experience Conscientiousness problem statement Extraversion o Ideate generate solutions, get feedback, iterate Agreeableness o Prototype build physical representation Emotionality o Test obtain feedback, look for improvements LECTURE 2 DESIGN PROCESS LECTURE 4 USER EMPATHY AND NEED IDENTIFICATION DESIGN (verb): form a plan for later execution EMPATHY: ability to understand what another person experiences FROM their frame of reference DESIGN (noun): created object (plan) related to what is being designed, but distinct from it Design thinking mind set o Design process takes you from the VERB to the NOUN o Focus on human values Mathscienceengineering o Show dont tell o Well posed problem statements o Clarify complex concepts o Unique solutions o Experiments and experience o Identifiable closureend o Be mindful of process o Specialized knowledge o Bias toward action o Engineering design problems are the opposite o Collaboration Satisfaction of customer needs = main metric WATERFALL DESIGN MODEL o Basic steps, linear model (however iteration can be done o Universal functionality, form, usability, cost at any point) NEEDS VS SPECIFICATIONS o Needs analysis problem statement design criteria o needs not dependent on solution chosen, can be generate solutions selectevaluate solutions defined independently, wont be affected by solution prototype implement solution generation SPIRAL DESIGN MODEL o specifications depends on solution chosen and its o Iterative design constraints o Four different quadrants FEELING EMPATHY FOR USER o Ask what people SAY they do Determine objectiveneedsproblemspecifications Identifyanalyseevaluate risks ARTICULATED NEEDS Develop and test o Immersion what people actually experience (feelings) Plan next iteration o Look observe what people ACTUALLY do o Larger spiral more complexity UNARTICULATED NEEDS COEVOLUTION DESIGN MODEL o Carry a beginners mindset (no misconceptions or o Problem statement (andor requirements) evolves with stereotypes) each new proposed solution o What how why (concrete to abstract) o Problem statement propose solution new problems new solution repeat. o requirements are not usually all known at the beginning o Not all requirements may have been considered at one stage
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