Difference between revisions of "CS382:Topics Matrix"

From Earlham CS Department
Jump to navigation Jump to search
Line 1: Line 1:
 
__NOTOC__
 
__NOTOC__
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".
 
 
 
<center>
 
<center>
 
{| class="wikitable" border="1"
 
{| class="wikitable" border="1"
Line 11: Line 9:
 
! Who
 
! Who
 
! Discipline(s)
 
! Discipline(s)
! Skill(s)
 
! Tool(s)
 
! Notes
 
! Status
 
 
|-
 
|-
 
| 1
 
| 1
Line 21: Line 15:
 
| Sam, Mikio
 
| Sam, Mikio
 
| Generic
 
| Generic
| TBD
 
| TBD
 
|
 
| Ready
 
 
|-
 
|-
 
| 2
 
| 2
Line 31: Line 21:
 
| Philip, Bryan
 
| Philip, Bryan
 
| Generic
 
| Generic
| Accuracy, precision, estimation
 
| Mashup
 
| Software and physical
 
| Lab ready for review, other is not.
 
 
|-
 
|-
 
| 3
 
| 3
Line 41: Line 27:
 
| Fitz, Vlado
 
| Fitz, Vlado
 
| Forestry
 
| Forestry
| Critical parameter, parameter sweep
 
| Cellular Automata, NetLogo
 
|
 
| Lab and other ready review, lab is ready to do.
 
 
|-
 
|-
 
| 4
 
| 4
Line 51: Line 33:
 
| Matt, Nate
 
| Matt, Nate
 
| TBD
 
| TBD
| TBD
 
| Mashup
 
| Tufte based approach? 
 
| Lab ready for review, other is not.
 
 
|-
 
|-
 
| 5-6
 
| 5-6
Line 61: Line 39:
 
| Bryan, Dylan
 
| Bryan, Dylan
 
| Bridge Building
 
| Bridge Building
| Physics
 
| Simulation
 
| Computational and physical models
 
| Lab ready for review, other is not.
 
 
|-
 
|-
 
| 7-8
 
| 7-8
Line 71: Line 45:
 
| Vlado, Sam
 
| Vlado, Sam
 
| Math, Physics
 
| Math, Physics
| Math, estimation skills and physics
 
| Simulators provided, rocketry craftsmanship outside
 
| Software and physical
 
| Ready
 
 
|-
 
|-
 
| 9  
 
| 9  
Line 81: Line 51:
 
| Nate, Philip
 
| Nate, Philip
 
| Sociology
 
| Sociology
| TBD
 
| Agent modeling, NetLogo
 
| Consider Josh McCoy's message
 
| Lab is ready for review, other is not.
 
 
|-
 
|-
 
| 10-11
 
| 10-11
Line 91: Line 57:
 
| Dylan, Matt
 
| Dylan, Matt
 
| Biology
 
| Biology
| TBD
 
| Systems dynamics modeling, NetLogo, and Agent-based
 
|
 
| Lab is ready for review, other is not.
 
 
|-
 
|-
 
| 12-13
 
| 12-13
Line 101: Line 63:
 
| Mikio, Fitz
 
| Mikio, Fitz
 
| Lots
 
| Lots
| TBD
 
| TBD
 
|
 
| Lab is ready for review, other is not.
 
 
|-
 
|-
 
| 14
 
| 14
Line 111: Line 69:
 
| TBD
 
| TBD
 
| Lots
 
| Lots
| TBD
 
| TBD
 
|
 
|
 
 
|}
 
|}
 
</center>
 
</center>
 +
'''
  
 
= Concepts, Techniques and Tools =  
 
= Concepts, Techniques and Tools =  
Line 177: Line 132:
  
 
= Total Gen Ed Coverage =
 
= Total Gen Ed Coverage =
[[CS382:Total-geneds|Total Geneds]]
+
* [[CS382:Total-geneds|Total Geneds]]
 +
 
 +
* Consider moving the scraped pages here from the main page for gen eds, labs, etc.

Revision as of 14:08, 29 April 2009

Topic Matrix
Week Topic Unit(s) Who Discipline(s)
1 What's a Model? Foundations Sam, Mikio Generic
2 Building a Static Model Area Philip, Bryan Generic
3 Using a Dynamic Model Fire Fitz, Vlado Forestry
4 Visualizing Data Mashup Matt, Nate TBD
5-6 Structural Modeling Bridge Bryan, Dylan Bridge Building
7-8 Equation Modeling Rocket Vlado, Sam Math, Physics
9 Agent Based Modeling and Computational Sociology People Nate, Philip Sociology
10-11 Modeling Predator-Prey Interactions Lynx and rabbits Dylan, Matt Biology
12-13 Chaotic Systems Climate Mikio, Fitz Lots
14 End Notes Wrap-up and review TBD Lots

Concepts, Techniques and Tools

There are a number of recurring themes, standard scientific techniques, and tools for doing science both in the real world and with a computing system contained in this course. Many of them are seen at more than one point.

The plan is to introduce all of them at the start of the course, call them out whenever we encounter them during the course, and then review all of them as a group at the end of the course.

Concepts

  • Using models, modifying models, developing models
  • Data -> information -> knowledge
  • Algorithmic thinking
  • Computational thinking
  • Abstraction
  • Accuracy vs precision

Techniques

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

Tools

  • Spreadsheet; {Open, Neo} Office
  • Plotting; Sigma plot, gnuplot (?!), PlotDrop. Why not just use the spreadsheet's tool?
  • Equation-based modeling; spreadsheet?
  • Agent-based modeling; NetLogo or AgentSheets
  • Systems-based modeling; Vensim
  • Visualization/visual modeling
  • Mashups and Google Earth

Potentially:

  • SecondLife or OpenSim

Overall Context

  • 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?

Items to be sorted

  • Quantitative reasoning
  • Using tools, broadly defined

Mechanical and structural stuff:

  • Scales well, say 20-80 students
    • Automated assessment tools
    • Effective use of TAs
  • 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

Total Gen Ed Coverage

  • Consider moving the scraped pages here from the main page for gen eds, labs, etc.