Difference between revisions of "CS382:Unit-fermiproblems"

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(New page: Fermiproblems - Use fermiproblems to encourage students to be comfortable making estimates and discovering ways to estimate with only limited data available. Worked examples are available ...)
 
(Materials needed)
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* Worked through examples showing a complete model and demonstrating which information is necessary for a ballpark estimation and which is not.
 
* Worked through examples showing a complete model and demonstrating which information is necessary for a ballpark estimation and which is not.
 
* Problem sets for the students to work through
 
* Problem sets for the students to work through
 +
* A quick example of scale such as [http://powersof10.com/ powers of 10]
  
  

Revision as of 10:25, 28 January 2009

Fermiproblems - Use fermiproblems to encourage students to be comfortable making estimates and discovering ways to estimate with only limited data available. Worked examples are available here

  • A list of Problems is available here

Skill-set

  • Using available sources to find information
  • Quickly vetting sources
  • Acquiring a feel for how to determine what factors are significant
  • Learning how to make estimates where figures are not available
  • Learning how to show and defend the reasoning behind extrapolations
  • Being able to make quick back of the napkin calculations


Materials needed

  • Problems which are relevant to the models which the students will later be constructing in the class
  • Worked through examples showing a complete model and demonstrating which information is necessary for a ballpark estimation and which is not.
  • Problem sets for the students to work through
  • A quick example of scale such as powers of 10


Pros

   * What makes a good model vs. what makes just a model 

Cons

Comments

   * Is this included in all of the other units, or also use this and then use these skills in lots of other places
   * Include talking about orders of magnitude, scale, significant figures, accuracy vs. precision, pattern recognition