Difference between revisions of "CS382:Topics Matrix"
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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 | |
| − | + | * Critical parameter | |
| − | + | * 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?) | ||
Revision as of 07:52, 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:
Contents
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
- 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
- Agent modeling with an existing model
- Critical parameter
- Parameter sweep
- Building a simple static model - model area of parts of campus
- Structural modeling - bridge building (software and physical?)
- Equation modeling - water rockets and relationship between launch angle and distance traveled
- Agent modeling - social systems
- Chaotic systems - climate model
- Systems dynamics - viral spread
- Visualizing data - mashup
Some would be one week long, some two weeks.
