CS382:Topics Matrix
When your unit(s) are in a stable location change the Topic column to an actual link. When it's ready to be reviewed update the Status to be "Ready". This is the only signal that the reviewers will look for. When it's being reviewed the status will be "In Review" and then "Done".
Ultimately the matrix should include a column for each section of a unit layout. E.g. there should be a "General Education" column/section.
| Week | Topic | Unit(s) | Who | Discipline(s) | Skill(s) | Tool(s) | Notes | Status |
|---|---|---|---|---|---|---|---|---|
| 1 | What's a Model? | Foundations | Sam, Mikio | Generic | TBD | TBD | Ready | |
| 2 | Using a Dynamic Model | Fire | Fitz, Vlado | Forestry | Critical parameter, parameter sweep | Agent modeling, NetLogo | ||
| 3 | Building a Static Model | Area | Philip, Bryan | Generic | Accuracy, precision, estimation | Mashup | Software and physical | Ready |
| 4 | Visualizing Data | Mashup | Matt, Nate | TBD | TBD | Mashup | Tufte based approach? | Ready |
| 5-6 | Structural Modeling | Bridge | Bryan, Dylan | Physics | Physics | Simulation | Software and physical? | Ready |
| 7-8 | Equation Modeling | Rocket | Vlado, Dylan | Math, Physics | Math, estimation skills and physics | TBD | Software and physical? | Ready |
| 9 | Modeling Society | People | Nate, Philip | Sociology | TBD | Agent modeling, NetLogo | Ready | |
| 10-11 | Modeling Disease Transmission | Virus | Matt, Sam | Biology | TBD | Systems dynamics modeling, NetLogo | ||
| 12-13 | Chaotic Systems | Climate | Mikio, Fitz | Lots | TBD | TBD |
Context
There are a number of themes that run through the units:
- Quantitative reasoning
- Using models, modifying models, developing models
- Validation and verification
- Using tools, broadly defined
- Data -> information -> knowledge
- Algorithmic thinking
- Abstraction
- Computational thinking
The units should have the following attributes, for the pedagogical ones all units should try to adhere to them, for the others we just need to make sure at least one unit covers them.
- Pedagogical
- Inquiry based learning
- Scaffolded
- Open-ended to a degree
- Using science to illustrate the diversity and complexity of the world around us
- Structural
- Metric system
- OSX, Windows, Linux whenever possible (lab sizes and locations)
- Classroom response system - questions for each unit, participation/attendance measured by response rate?
Mechanical and structural stuff:
- Scales well, say 20-80 students
- Automated assessment tools
- Effective use of TAs
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 in the real world
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
