Difference between revisions of "Links"
(→Tutorials) |
(→Software Engineering) |
||
| Line 58: | Line 58: | ||
[http://sereadings.blogspot.com.es/2011/05/10-quotes-from-david-parnas.html 10 Quotes from David Parnas] | [http://sereadings.blogspot.com.es/2011/05/10-quotes-from-david-parnas.html 10 Quotes from David Parnas] | ||
| + | <BR> | ||
| + | [https://www.thc.org/root/phun/unmaintain.html How to write unmaintainable code] | ||
=== Swedish === | === Swedish === | ||
Revision as of 01:58, 1 May 2015
Under construction ... many more links yet to be added
Contents
- 1 Artificial Cognitive Systems
- 2 Cognitive Robotics
- 3 Cybernetics
- 4 Emergence and Self-Organization
- 5 Cycling
- 6 Graphs and Networks
- 7 Independent Component Analysis
- 8 Innovation and Entrepreneurship
- 9 Macintosh
- 10 Software Engineering
- 11 Swedish
- 12 Tutorials
- 13 WikiMedia
- 14 Women in Computer Science
Artificial Cognitive Systems
Artificial Cognitive Systems (dedicated list of links)
Cognitive Robotics
Cognitive Robotics Resources (dedicated list of links)
Cybernetics
Emergence and Self-Organization
Cycling
Randonneurs Sverige
Sturmey Archer S2C Duomatic
Thermosoles
Graphs and Networks
GraphViz graph visualization [1]
Independent Component Analysis
Introduction to Independent Component Analysis - Barnabás Póczos, University of Alberta
Blind Source Separation and Independent Component Analysis
Subspace Methods for Visual Learning and Recognition ECCV 2002 Tutorial (short version) - Horst Bischof and Ales Leonardis
Subspace Methods for Visual Learning and Recognition ECCV 2002 Tutorial (full version) - Horst Bischof and Ales Leonardis
Innovation and Entrepreneurship
European Institute of Innovation and Technology (EIT)
EIT ICT Labs
EIT Knowledge and Innovation Communities (KIC) Educational Activities Final Report
Macintosh
Taking Screenshots in OS X
OS X keyboard shortcuts
Open Source Mac Software
Software Engineering
10 Quotes from David Parnas
How to write unmaintainable code
Swedish
Basic phrases
Folkets Lexikon
DuoLingo
Tutorials
Information Theory Primer
What does a data scientist do?
Why Model?
Feynman on the Scientific Method
The Elements of Style
