Difference between revisions of "CS382:Unit-foundation"
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* Problems which are relevant to the models which the students will later be constructing in the class | * Problems which are relevant to the models which the students will later be constructing in the class | ||
+ | <font color=slategray> | ||
+ | ** Decide on a list of some problems to choose from in a later draft, when the other units are solidified and we know exactly what we're doing</font> | ||
* 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. | ||
+ | <font color=slategray> | ||
+ | ** Will this be the piano tuners? ...adapted versions of the above list of problems from University of Maryland for Earlham?</font> | ||
* 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] | * A quick example of scale such as [http://powersof10.com/ powers of 10] | ||
== Lecture Outline == | == Lecture Outline == | ||
− | Lectures are ideally divided into 3, What data to get, Where to get the data, and What to do with the data. However since the 3rd part is shorter than the other two it is feasible to divide into two lectures after discussing that making all your own data is hard. | + | Lectures are ideally divided into 3, What data to get, Where to get the data, and What to do with the data. However since the 3rd part is shorter than the other two it is feasible to divide into two lectures after discussing that making all your own data is hard. <font color=slategray> If this is going to be a one week unit with 1:20 classes, then the 2-lecture structure will be necessary. Depends on how the final structure ends up, of course, so just hang onto this for now</font> |
− | How to build a model | + | |
+ | <font color=slategray> | ||
+ | * Needs some kind of intro hook! Lest the course start out too "dull" for wavery freshmen</font> | ||
+ | === How to build a model === | ||
+ | <font color=slategray> | ||
+ | * (this was supposed to be the overall theme, right?)</font> | ||
* What data do you get? | * What data do you get? | ||
** Establishing a feeling for what is significant | ** Establishing a feeling for what is significant | ||
*** Bring in a jar of Jelly beans. Ask students to guess how many there are. Ask for which measurements are necessary to get a good guess. | *** Bring in a jar of Jelly beans. Ask students to guess how many there are. Ask for which measurements are necessary to get a good guess. | ||
− | *** Ask a big question... IE what is the area of the Heart. Brainstorm. (This provides a theoretical background to the measuring lab. | + | <font color=slategray> |
+ | *** There will need to be a good way to do this (maybe using the clickers or division into groups), or this will descend into noisy chaos, especially as the course scales upward in size</font> | ||
+ | *** Ask a big question... IE what is the area of the Heart. Brainstorm. (This provides a theoretical background to the measuring lab. <font color=slategray> Same as above</font> | ||
** Establish a feeling for what is too detailed | ** Establish a feeling for what is too detailed | ||
*** Explain what the difference is between a back of the napkin calculation and an exhaustive one | *** Explain what the difference is between a back of the napkin calculation and an exhaustive one | ||
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*** Ask how many piano tuners there are in Chicago | *** Ask how many piano tuners there are in Chicago | ||
**** Work through the fermiproblem | **** Work through the fermiproblem | ||
+ | <font color=slategray> | ||
+ | **** For a later draft, more detail</font> | ||
** But do we trust other people's data? | ** But do we trust other people's data? | ||
*** Discuss the notion of vetting sources | *** Discuss the notion of vetting sources | ||
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** Split up into groups of 2-3. | ** Split up into groups of 2-3. | ||
** Give each group a page which we have identified as needing work and being at least incidentally relevant to the course. | ** Give each group a page which we have identified as needing work and being at least incidentally relevant to the course. | ||
+ | <font color=slategray> | ||
+ | ** Might prove annoying or excessively time-consuming to come up with 20-30 separate pages that need editing and are relevant, as the course scales in size</font> | ||
** Provide a [http://en.wikipedia.org/wiki/Wikipedia_tutorial tutorial] of how to edit wiki's | ** Provide a [http://en.wikipedia.org/wiki/Wikipedia_tutorial tutorial] of how to edit wiki's | ||
** Make sure that members of the group switch out who does the editing and who does the research. | ** Make sure that members of the group switch out who does the editing and who does the research. | ||
+ | |||
+ | <font color=slategray> | ||
+ | * I'm a little concerned that this, as an initial lab, is a little too unstructured, a little vague (also hard to come up with a good evaluation method for this assignment, since each is going to be different); it's very easy within this kind of assignment for the students to just screw around (of course we can just give them a bad grade, but that isn't teaching). I'm not exactly sure what would be a good modification, but it is something to keep in mind.</font> | ||
== Background Reading == | == Background Reading == | ||
+ | <font color=slategray> | ||
+ | * Needs a brief synopsis of what these readings are and how they tie into the lecture/unit | ||
+ | * For whom are these readings? Teacher? Student? Extra reference?</font> | ||
[http://www.edwardtufte.com/bboard/q-and-a-fetch-msg?msg_id=0001OR Edward Tufte, Sparklines Theory and Practice] | [http://www.edwardtufte.com/bboard/q-and-a-fetch-msg?msg_id=0001OR Edward Tufte, Sparklines Theory and Practice] | ||
− | + | <font color=slategray> | |
+ | * For instance, will this be referenced in the lecture? This seems to be more about effective ways of presenting data once you have it and have made something with it.</font> | ||
Shiflet Chapter 1 | Shiflet Chapter 1 | ||
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D) 5 measurements of a meter stick which measure the length as 80cm, 95cm, 50cm, 130cm, 200cm. | D) 5 measurements of a meter stick which measure the length as 80cm, 95cm, 50cm, 130cm, 200cm. | ||
+ | <font color=slategray> | ||
+ | * Cool. This is perfect.</font> | ||
Which of the following is likely to have the least impact on a model of a ball dropping: | Which of the following is likely to have the least impact on a model of a ball dropping: | ||
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D) Whether or not the ball is attached to a parachute | D) Whether or not the ball is attached to a parachute | ||
+ | <font color=slategray> | ||
+ | * Also good.</font> | ||
Which of the following websites best represents a reliable source for scientific research? | Which of the following websites best represents a reliable source for scientific research? | ||
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D) ebay.com | D) ebay.com | ||
+ | |||
+ | <font color=slategray> | ||
+ | * This one almost seems a bit too easy / facetious... it doesn't really help solidify knowledge of vetting sources. What about significant figures or orders of magnitude?</font> | ||
== Comments == | == Comments == | ||
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*** Collecting data is divided into first-hand experience and using other people's data (theoretical analysis) | *** Collecting data is divided into first-hand experience and using other people's data (theoretical analysis) | ||
** Well established in this unit. | ** Well established in this unit. | ||
+ | |||
+ | <font color=slategray> | ||
+ | * Seems solid.</font> | ||
=== Other comments === | === Other comments === | ||
Pros | Pros |
Revision as of 02:32, 25 February 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
Contents
Scheduling
Needs to be first
Preferably followed by static modeling
Also will probably need to be 1 week
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
- Understanding of what significant figures are and how to calculate them
- Understanding the difference between accuracy and precision
Materials needed
- Problems which are relevant to the models which the students will later be constructing in the class
- Decide on a list of some problems to choose from in a later draft, when the other units are solidified and we know exactly what we're doing
- Worked through examples showing a complete model and demonstrating which information is necessary for a ballpark estimation and which is not.
- Will this be the piano tuners? ...adapted versions of the above list of problems from University of Maryland for Earlham?
- Problem sets for the students to work through
- A quick example of scale such as powers of 10
Lecture Outline
Lectures are ideally divided into 3, What data to get, Where to get the data, and What to do with the data. However since the 3rd part is shorter than the other two it is feasible to divide into two lectures after discussing that making all your own data is hard. If this is going to be a one week unit with 1:20 classes, then the 2-lecture structure will be necessary. Depends on how the final structure ends up, of course, so just hang onto this for now
- Needs some kind of intro hook! Lest the course start out too "dull" for wavery freshmen
How to build a model
- (this was supposed to be the overall theme, right?)
- What data do you get?
- Establishing a feeling for what is significant
- Bring in a jar of Jelly beans. Ask students to guess how many there are. Ask for which measurements are necessary to get a good guess.
- Establishing a feeling for what is significant
- There will need to be a good way to do this (maybe using the clickers or division into groups), or this will descend into noisy chaos, especially as the course scales upward in size
- Ask a big question... IE what is the area of the Heart. Brainstorm. (This provides a theoretical background to the measuring lab. Same as above
- Establish a feeling for what is too detailed
- Explain what the difference is between a back of the napkin calculation and an exhaustive one
- Provide an example of a model and how to make it tractable.
- Dropping a ball 10 meters (useful data: Gravity not really useful: Drag, Gravity at our altitude ball surface etc.)
- Introduce the idea of orders of magnitude
- Talk about fermi-problems
- Where do you get data?
- Making all your own data is hard.
- Unlike in high-school copying is good, just remember to cite
- We don't want to reinvent the wheel each time we build something.
- Ask how many piano tuners there are in Chicago
- Work through the fermiproblem
- Making all your own data is hard.
- For a later draft, more detail
- But do we trust other people's data?
- Discuss the notion of vetting sources
- explain scientific rigor
- What do you do with your data?
- We need to extrapolate sometimes
- Explain how to properly extrapolate from known data to what you need.
- Explain how to defend your extrapolations (Show calculations, explicitly list assumptions, etc)
- Show how to bring data together
- Revisit the worked fermi-problem
- Explain that data can be evaluated based on accuracy and precision. Explain the difference between them
- We need to extrapolate sometimes
Lab Work
- Take a lab period to rework a wikipedia article.
- this couples learning wiki syntax and vetting information
- Split up into groups of 2-3.
- Give each group a page which we have identified as needing work and being at least incidentally relevant to the course.
- Might prove annoying or excessively time-consuming to come up with 20-30 separate pages that need editing and are relevant, as the course scales in size
- Provide a tutorial of how to edit wiki's
- Make sure that members of the group switch out who does the editing and who does the research.
- I'm a little concerned that this, as an initial lab, is a little too unstructured, a little vague (also hard to come up with a good evaluation method for this assignment, since each is going to be different); it's very easy within this kind of assignment for the students to just screw around (of course we can just give them a bad grade, but that isn't teaching). I'm not exactly sure what would be a good modification, but it is something to keep in mind.
Background Reading
- Needs a brief synopsis of what these readings are and how they tie into the lecture/unit
- For whom are these readings? Teacher? Student? Extra reference?
Edward Tufte, Sparklines Theory and Practice
- For instance, will this be referenced in the lecture? This seems to be more about effective ways of presenting data once you have it and have made something with it.
Shiflet Chapter 1
how to edit mediawiki.
Classroom Response
Which of the following represents low accuracy but high precision:
A) 5 measurements of a meter stick which measure the length as 100cm, 101cm, 99cm, 98cm, 100cm.
B) 5 measurements of a meter stick which measure the length as 80cm, 79cm, 81cm, 82cm, 78cm.
C) 5 measurements of a meter stick which measure the length as 90cm, 110cm, 109cm, 91cm, 100cm
D) 5 measurements of a meter stick which measure the length as 80cm, 95cm, 50cm, 130cm, 200cm.
- Cool. This is perfect.
Which of the following is likely to have the least impact on a model of a ball dropping:
A) Rate of acceleration due to gravity
B) Size of the ball
C) Height of the ball
D) Whether or not the ball is attached to a parachute
- Also good.
Which of the following websites best represents a reliable source for scientific research?
A) facebook.com
B) Wikipedia.com
C) acm.org
D) ebay.com
- This one almost seems a bit too easy / facetious... it doesn't really help solidify knowledge of vetting sources. What about significant figures or orders of magnitude?
Comments
Gen-ed Applicability
- Develops students' understanding of the natural world.
- Not the strongest in this unit. We are still focusing on the framework for doing the actual understanding of the natural world.
- Strengthens students' knowledge of the scientific way of knowing — the use of systematic observation and experimentation to develop theories and test hypotheses.
- One of the major take-away points of this unit is how to develop a scientific knowledge of a situation.
- In order to test hypotheses students need to build models and apply them to the real world
- Well established in this unit
- Emphasizes and provides first-hand experience with both theoretical analysis and the collection of empirical data.
- The second major point in the above lecture notes is how do we collect data
- Collecting data is divided into first-hand experience and using other people's data (theoretical analysis)
- Well established in this unit.
- The second major point in the above lecture notes is how do we collect data
- Seems solid.
Other comments
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?
- We need to make sure that this - if it's a unit on its own - that it isn't a very boring first unit
- Include talking about orders of magnitude, scale, significant figures, accuracy vs. precision, pattern recognition
To Do
- Sam has a high school teacher who has a list of many examples, he is going to get in contact with them.
- Think about and perhaps talk to Fitz/Brad about how much from Fire could be used to address this foundation unit