CS382:Class Notes

From Earlham CS Department
Revision as of 13:50, 15 January 2009 by Admin (talk | contribs) (New page: These are class notes for CS328: Discrete Modeling Development. They will be maintained by Kay and Charlie, but feel free to add parts we may have missed...)
(diff) ← Older revision | Latest revision (diff) | Newer revision → (diff)
Jump to navigation Jump to search

These are class notes for CS328: Discrete Modeling Development. They will be maintained by Kay and Charlie, but feel free to add parts we may have missed.

Wednesday, January 14

About the class:

  • We will be designing a new class “in silico”
  • new class will be offered the first time next spring
  • geared towards first year students
  • lots of this already developed, we’ll be selecting the best parts of which ones for this specific course at this specific college

Themes we're designing for:

  • quantitative reasoning
  • model development and use
  • validation and verification
    • Did I solve the right problem? Did I solve the problem correctly?
  • estimation
  • visualization
    • data -> information -> knowledge
    • harder to do as go further to the right
    • visualization is one way to make it easier to get more from just data
  • mostly the natural sciences, possibly some art
  • using tools (spreadsheets, models, make your own or pre-made)

Methods we will use:

  • inquiry based learning – find out how to solve a problem and document it, and describe what learned from it
  • scaffolded – provide an empty framework for students to work through it in multiple ways
  • metric system exclusively
  • auto-magic grading?
    • Good feedback is important, possibly part of this could come from a machine

Units/modules (each probably week to two weeks) might include:

  • reading
  • lectures/discussion notes
  • lab

Potential Units/Modules:

  • "Seeing Around Corners" – an article about race behavior using Agent-based models
    • Lunch rooms, neighborhoods, etc.
  • Possibly a unit with “sensor nets”
  • Possible energy unit – EEAP, wind, solar
  • Measuring – area, volume, count
  • Ground water – wet lab, analytical, in silico
  • Genomics
  • Measure gravity (as between the roof of Dennis Hall and the ground)
  • Something requiring lots of computational horsepower (maybe?)
    • Maybe just mentioning and not an entire unit
    • Maybe tied into the genomics unit or chemistry
  • Chemistry, possibly forensic

Other Thoughts:

  • We may find things that are really cool but that don’t fit into this particular class we’re designing. However, they may be inserted into various places in the CS curriculum – in POCO, ACS. We should capture them somewhere and Charlie will come back to them another time.