CS382:Attributes-guidelines - Revision history

Charliep: Removing all content from page

2009-02-16T13:38:47Z

Removing all content from page

← Older revision		Revision as of 13:38, 16 February 2009
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	In Silico is designed to meet Earlham's Analytical Reasoning general education requirement, specifically the Quantitative Reasoning component. The full description is here: http://www.earlham.edu/curriculumguide/academics/analytical.html

	~~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

Charliep at 11:39, 4 February 2009

2009-02-04T11:39:04Z

← Older revision		Revision as of 11:39, 4 February 2009
Line 21:		Line 21:
	** Metric system		** Metric system
	** OSX, Windows, Linux whenever possible (lab sizes and locations)		** OSX, Windows, Linux whenever possible (lab sizes and locations)
	** Classroom response system, questions for each unit		** Classroom response system - questions for each unit, participation/attendance measured by response rate?

	Mechanical and structural stuff:		Mechanical and structural stuff:

Charliep at 11:37, 4 February 2009

2009-02-04T11:37:19Z

← Older revision		Revision as of 11:37, 4 February 2009
Line 21:		Line 21:
	** Metric system		** Metric system
	** OSX, Windows, Linux whenever possible (lab sizes and locations)		** OSX, Windows, Linux whenever possible (lab sizes and locations)
			** Classroom response system, questions for each unit

	Mechanical and structural stuff:		Mechanical and structural stuff:

Kay: moving my note to the discussion

2009-01-28T18:39:09Z

moving my note to the discussion

← Older revision		Revision as of 18:39, 28 January 2009
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	** Automated assessment tools		** Automated assessment tools
	** Effective use of TAs		** Effective use of TAs

	~~----~~

	~~'''Note:''' I moved some of this to the checklist/n-by-n matrix of "necessary stuff": [[CS382:Topics Matrix\|Topics Matrix]] --[[User:Kay\|Kay]] 18:31, 28 January 2009 (UTC)~~

Kay at 18:31, 28 January 2009

2009-01-28T18:31:56Z

@@ Line 1: / Line 1: @@
 In Silico is designed to meet Earlham's Analytical Reasoning general education requirement, specifically the Quantitative Reasoning component.  The full description is here: http://www.earlham.edu/curriculumguide/academics/analytical.html
@@ Line 28: / Line 26: @@
 ** Automated assessment tools
 ** Effective use of TAs

Kay at 18:31, 28 January 2009

2009-01-28T18:31:25Z

@@ Line 1: / Line 1: @@
 In Silico is designed to meet Earlham's Analytical Reasoning general education requirement, specifically the Quantitative Reasoning component.  The full description is here: http://www.earlham.edu/curriculumguide/academics/analytical.html
@@ Line 26: / Line 28: @@
 ** Automated assessment tools
 ** Effective use of TAs

Kay: moved content around since I copied it over to the CS382:Topics Matrix

2009-01-28T17:00:58Z

moved content around since I copied it over to the CS382:Topics Matrix

@@ Line 17: / Line 17: @@
 ** Open-ended to a degree
 ** Using science to illustrate the diversity and complexity of the world around us
 * Structural
@@ Line 36: / Line 26: @@
 ** Automated assessment tools
 ** Effective use of TAs

Charliep at 14:12, 23 January 2009

2009-01-23T14:12:41Z

← Older revision		Revision as of 14:12, 23 January 2009
Line 31:		Line 31:
	** Metric system		** Metric system
	** OSX, Windows, Linux whenever possible (lab sizes and locations)		** OSX, Windows, Linux whenever possible (lab sizes and locations)

			Mechanical and structural stuff:
			* Scales well, say 20-80 students
			** Automated assessment tools
			** Effective use of TAs

Charliep at 12:25, 23 January 2009

2009-01-23T12:25:24Z

← Older revision		Revision as of 12:25, 23 January 2009
Line 17:		Line 17:
	** Open-ended to a degree		** Open-ended to a degree
	** Using science to illustrate the diversity and complexity of the world around us		** Using science to illustrate the diversity and complexity of the world around us

	* Technology		* Technology
	** Sensor nets		** Sensor nets
Line 22:		Line 23:
	** Agent based modeling		** Agent based modeling
	** Building a physical model?		** Building a physical model?

	* Techniques		* Techniques
	** Estimation		** Estimation
	** Visualization		** Visualization

	* Structural		* Structural
	** Metric system		** Metric system
	** OSX, Windows, Linux whenever possible (lab sizes and locations)		** OSX, Windows, Linux whenever possible (lab sizes and locations)

Charliep: New page: In Silico is designed to meet Earlham's Analytical Reasoning general education requirement, specifically the Quantitative Reasoning component. The full description is here: http://www.ear...

2009-01-23T12:24:45Z

New page: In Silico is designed to meet Earlham's Analytical Reasoning general education requirement, specifically the Quantitative Reasoning component. The full description is here: http://www.ear...

New page

In Silico is designed to meet Earlham's Analytical Reasoning general education requirement, specifically the Quantitative Reasoning component. The full description is here: http://www.earlham.edu/curriculumguide/academics/analytical.html

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
* Technology
** Sensor nets
** Mashup and Google Earth
** Agent based modeling
** Building a physical model?
* Techniques
** Estimation
** Visualization
* Structural
** Metric system
** OSX, Windows, Linux whenever possible (lab sizes and locations)