CS382:Topics Matrix: Difference between revisions

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# What's a model (foundational material that isn't spread-out or requires more than one pass) - no lab
# What's a model (foundational material that isn't spread-out or requires more than one pass) - no lab
# Using a simple dynamic model - fire
# Using a simple dynamic model - fire
* Agent modeling with an existing model
## Agent modeling with an existing model
* Critical parameter
## Critical parameter
* Parameter sweep
## Parameter sweep
# Building a simple static model - model area of parts of campus
# Building a simple static model - model area of parts of campus
# Structural modeling - bridge building (software and physical?)
# Structural modeling - bridge building (software and physical?)
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# Visualizing data - mashup  
# Visualizing data - mashup  


Some would be one week long, some two weeks.
Some would be one week long, some two weeks.  Make these into links to the units as they are identified.  List the high-level attributes for each here as Using a simple dynamic model is.

Revision as of 13:02, 4 February 2009

This is meant to be a rough draft of an idea Charlie and I talked about: that we should have a n-by-n matrix of different ideas that we want to make sure we hit. Since an n-by-n matrix is hard to display (especially on a wiki!) it turned into a list instead. Once this is finished, we should make sure that at least one unit addresses each one of these topics.

Initial "dimensions" of the matrix:

Scientific Disciplines

  • Biology
  • Chemistry
  • Physics
  • Geology (earthquakes)
  • Environmental science
  • One of the social sciences

Potentially:

  • Astronomy

Scientific Tools

  • Equation-based modeling
  • Agent-based modeling: Netlogo or AgentSheets
  • Systems-based modeling: Vensim
  • Visualization/visual modeling
  • Mashups and Google Earth

Potentially

  • SecondLife or OpenSim

Foundation Skills

  • Creating a graph
  • Interpreting a graph
  • Basic statistics
  • Estimation
  • Parameter sweep
  • Data collection

Potentially

  • Building a physical model

Thoughts

Some of these should go somewhere, and some of these should be in every unit.

  • What data do I need to collect, how do I collect it accurately, and then how do I build it
    • Perhaps one unit where they have to go out and collect data to see how hard it really is, how about modeling campus (rectangle and heart)
  • Data collection: sensor nets, lasers

Course Structure - D R A F T

  1. What's a model (foundational material that isn't spread-out or requires more than one pass) - no lab
  2. Using a simple dynamic model - fire
    1. Agent modeling with an existing model
    2. Critical parameter
    3. Parameter sweep
  3. Building a simple static model - model area of parts of campus
  4. Structural modeling - bridge building (software and physical?)
  5. Equation modeling - water rockets and relationship between launch angle and distance traveled
  6. Agent modeling - social systems
  7. Chaotic systems - climate model
  8. Systems dynamics - viral spread
  9. Visualizing data - mashup

Some would be one week long, some two weeks. Make these into links to the units as they are identified. List the high-level attributes for each here as Using a simple dynamic model is.