Difference between revisions of "CS382:Topics Matrix"

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(Course Structure - D R A F T)
(Course Structure - D R A F T)
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# Agent modeling - social systems
 
# Agent modeling - social systems
 
# Chaotic systems - climate model
 
# Chaotic systems - climate model
# Systems dynamics - viral spread
+
# Systems dynamics - viral spread or population dynamics
 
# Visualizing data - mashup  
 
# 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.
 
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 10:11, 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 dynamic model - fire
    1. Agent modeling with an existing model
    2. Critical parameter
    3. Parameter sweep
  3. Building a 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 or population dynamics
  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.