SlideShare ist ein Scribd-Unternehmen logo
1 von 15
PHP 3

 Prof. Alvarado
  MDST 3705
31 January 2013
Business
• Course Schedule posted
  – Include project days in April that may be used
    for more content, depending on progress
Review
• Hackers = builders
  – Coders and Painters are both hackers
  – Building is a way of knowing (praxis)
  – Coders and Painters have different skills
• Hacking involves awareness of two levels
  – LEVEL 1: Rules, methods, techniques
  – LEVEL 2: Effects, emergence, products
  – The two levels interact
  – The two levels are in tension
Programs like 10 PRINT and Conway’s
Game of Life exemplify the difference
   and relationship between levels
Finite Rules
Infinite Patterns
Digital art is
created by algorithms
      like these
What happens when we want to study
     “real” art and literature?

How can we use the computer to help
   in the task of interpretation?

    (The digital humanities is about
interpreting the art, literature, and other
  products of human intellectual labor)
We can view works of art and literature as
      patterns generated by rules
What about text?
Claude Shannon
showed that English
is governed by
probabilities

It is possible to
generate sentences
that almost make
sense, using a
random generator,
like the 10 PRINT
program, governed
by probabilities for
each letter or word
Let’s experiment …

Weitere ähnliche Inhalte

Ähnlich wie Mdst3705 2013-01-31-php3

Agile software development
Agile software developmentAgile software development
Agile software developmentHemangi Talele
 
Software art and design: computational thinking through programming practice ...
Software art and design: computational thinking through programming practice ...Software art and design: computational thinking through programming practice ...
Software art and design: computational thinking through programming practice ...Aarhus University
 
Agile Software Development.ppt
Agile Software Development.pptAgile Software Development.ppt
Agile Software Development.pptabdulwehab2
 
Knowledge base system appl. p 1,2-ver1
Knowledge base system appl.  p 1,2-ver1Knowledge base system appl.  p 1,2-ver1
Knowledge base system appl. p 1,2-ver1Taymoor Nazmy
 
Resonance Introduction at SacPy
Resonance Introduction at SacPyResonance Introduction at SacPy
Resonance Introduction at SacPymoorepants
 
Mdst3705 2012-01-22-code-as-language
Mdst3705 2012-01-22-code-as-languageMdst3705 2012-01-22-code-as-language
Mdst3705 2012-01-22-code-as-languageRafael Alvarado
 
Scales02WhatProgrammingLanguagesShouldWeTeachOurUndergraduates
Scales02WhatProgrammingLanguagesShouldWeTeachOurUndergraduatesScales02WhatProgrammingLanguagesShouldWeTeachOurUndergraduates
Scales02WhatProgrammingLanguagesShouldWeTeachOurUndergraduatesHans Ecke
 
Computational Thinking - 101
Computational Thinking - 101Computational Thinking - 101
Computational Thinking - 101WhizThinkers
 
Demystifying Digital Humanities: Winter 2014 Workshop #2: Programming on the ...
Demystifying Digital Humanities: Winter 2014 Workshop #2: Programming on the ...Demystifying Digital Humanities: Winter 2014 Workshop #2: Programming on the ...
Demystifying Digital Humanities: Winter 2014 Workshop #2: Programming on the ...Paige Morgan
 
Dmitriy Elisov CV v2.1
Dmitriy Elisov CV v2.1Dmitriy Elisov CV v2.1
Dmitriy Elisov CV v2.1Dmitry Elisov
 
Relation between Languages, Machines and Computations
Relation between Languages, Machines and ComputationsRelation between Languages, Machines and Computations
Relation between Languages, Machines and ComputationsBHARATH KUMAR
 
Csci101 lect00 introduction
Csci101 lect00 introductionCsci101 lect00 introduction
Csci101 lect00 introductionElsayed Hemayed
 
Coding as a (second) Language
Coding as a (second) LanguageCoding as a (second) Language
Coding as a (second) LanguageKenneth Ronkowitz
 
LaTICE 2016: Learner-Centered Design of Computing Education for All
LaTICE 2016: Learner-Centered Design of Computing Education for AllLaTICE 2016: Learner-Centered Design of Computing Education for All
LaTICE 2016: Learner-Centered Design of Computing Education for AllMark Guzdial
 
Dmdh winter 2015 session #2
Dmdh winter 2015 session #2Dmdh winter 2015 session #2
Dmdh winter 2015 session #2sarahkh12
 
Антон Кириллов, ZeptoLab
Антон Кириллов, ZeptoLabАнтон Кириллов, ZeptoLab
Антон Кириллов, ZeptoLabDiana Dymolazova
 

Ähnlich wie Mdst3705 2013-01-31-php3 (20)

Lunch & learn code monkey
Lunch & learn code monkeyLunch & learn code monkey
Lunch & learn code monkey
 
Agile software development
Agile software developmentAgile software development
Agile software development
 
Software art and design: computational thinking through programming practice ...
Software art and design: computational thinking through programming practice ...Software art and design: computational thinking through programming practice ...
Software art and design: computational thinking through programming practice ...
 
Agile Software Development.ppt
Agile Software Development.pptAgile Software Development.ppt
Agile Software Development.ppt
 
Knowledge base system appl. p 1,2-ver1
Knowledge base system appl.  p 1,2-ver1Knowledge base system appl.  p 1,2-ver1
Knowledge base system appl. p 1,2-ver1
 
Resonance Introduction at SacPy
Resonance Introduction at SacPyResonance Introduction at SacPy
Resonance Introduction at SacPy
 
Mdst3705 2012-01-22-code-as-language
Mdst3705 2012-01-22-code-as-languageMdst3705 2012-01-22-code-as-language
Mdst3705 2012-01-22-code-as-language
 
Scales02WhatProgrammingLanguagesShouldWeTeachOurUndergraduates
Scales02WhatProgrammingLanguagesShouldWeTeachOurUndergraduatesScales02WhatProgrammingLanguagesShouldWeTeachOurUndergraduates
Scales02WhatProgrammingLanguagesShouldWeTeachOurUndergraduates
 
Hci [5]paradigm
Hci [5]paradigmHci [5]paradigm
Hci [5]paradigm
 
Computational Thinking - 101
Computational Thinking - 101Computational Thinking - 101
Computational Thinking - 101
 
2 computer programming technology
2 computer programming technology2 computer programming technology
2 computer programming technology
 
Demystifying Digital Humanities: Winter 2014 Workshop #2: Programming on the ...
Demystifying Digital Humanities: Winter 2014 Workshop #2: Programming on the ...Demystifying Digital Humanities: Winter 2014 Workshop #2: Programming on the ...
Demystifying Digital Humanities: Winter 2014 Workshop #2: Programming on the ...
 
Dmitriy Elisov CV v2.1
Dmitriy Elisov CV v2.1Dmitriy Elisov CV v2.1
Dmitriy Elisov CV v2.1
 
Relation between Languages, Machines and Computations
Relation between Languages, Machines and ComputationsRelation between Languages, Machines and Computations
Relation between Languages, Machines and Computations
 
Csci101 lect00 introduction
Csci101 lect00 introductionCsci101 lect00 introduction
Csci101 lect00 introduction
 
Coding as a (second) Language
Coding as a (second) LanguageCoding as a (second) Language
Coding as a (second) Language
 
LaTICE 2016: Learner-Centered Design of Computing Education for All
LaTICE 2016: Learner-Centered Design of Computing Education for AllLaTICE 2016: Learner-Centered Design of Computing Education for All
LaTICE 2016: Learner-Centered Design of Computing Education for All
 
Digital Humanities Workshop
Digital Humanities WorkshopDigital Humanities Workshop
Digital Humanities Workshop
 
Dmdh winter 2015 session #2
Dmdh winter 2015 session #2Dmdh winter 2015 session #2
Dmdh winter 2015 session #2
 
Антон Кириллов, ZeptoLab
Антон Кириллов, ZeptoLabАнтон Кириллов, ZeptoLab
Антон Кириллов, ZeptoLab
 

Mehr von Rafael Alvarado

Mdst3703 2013-10-08-thematic-research-collections
Mdst3703 2013-10-08-thematic-research-collectionsMdst3703 2013-10-08-thematic-research-collections
Mdst3703 2013-10-08-thematic-research-collectionsRafael Alvarado
 
Mdst3703 2013-10-01-hypertext-and-history
Mdst3703 2013-10-01-hypertext-and-historyMdst3703 2013-10-01-hypertext-and-history
Mdst3703 2013-10-01-hypertext-and-historyRafael Alvarado
 
Mdst3703 2013-09-24-hypertext
Mdst3703 2013-09-24-hypertextMdst3703 2013-09-24-hypertext
Mdst3703 2013-09-24-hypertextRafael Alvarado
 
Mdst3703 2013-09-12-semantic-html
Mdst3703 2013-09-12-semantic-htmlMdst3703 2013-09-12-semantic-html
Mdst3703 2013-09-12-semantic-htmlRafael Alvarado
 
Mdst3703 2013-09-17-text-models
Mdst3703 2013-09-17-text-modelsMdst3703 2013-09-17-text-models
Mdst3703 2013-09-17-text-modelsRafael Alvarado
 
Mdst3703 2013-09-10-textual-signals
Mdst3703 2013-09-10-textual-signalsMdst3703 2013-09-10-textual-signals
Mdst3703 2013-09-10-textual-signalsRafael Alvarado
 
Mdst3703 2013-09-03-plato2
Mdst3703 2013-09-03-plato2Mdst3703 2013-09-03-plato2
Mdst3703 2013-09-03-plato2Rafael Alvarado
 
Mdst3703 2013-08-29-hello-world
Mdst3703 2013-08-29-hello-worldMdst3703 2013-08-29-hello-world
Mdst3703 2013-08-29-hello-worldRafael Alvarado
 
UVA MDST 3703 2013 08-27 Introduction
UVA MDST 3703 2013 08-27 IntroductionUVA MDST 3703 2013 08-27 Introduction
UVA MDST 3703 2013 08-27 IntroductionRafael Alvarado
 
MDST 3705 2012-03-05 Databases to Visualization
MDST 3705 2012-03-05 Databases to VisualizationMDST 3705 2012-03-05 Databases to Visualization
MDST 3705 2012-03-05 Databases to VisualizationRafael Alvarado
 
Mdst3705 2013-02-26-db-as-genre
Mdst3705 2013-02-26-db-as-genreMdst3705 2013-02-26-db-as-genre
Mdst3705 2013-02-26-db-as-genreRafael Alvarado
 
Mdst3705 2013-02-19-text-into-data
Mdst3705 2013-02-19-text-into-dataMdst3705 2013-02-19-text-into-data
Mdst3705 2013-02-19-text-into-dataRafael Alvarado
 
Mdst3705 2013-02-12-finding-data
Mdst3705 2013-02-12-finding-dataMdst3705 2013-02-12-finding-data
Mdst3705 2013-02-12-finding-dataRafael Alvarado
 
Mdst3705 2013-01-24-php2
Mdst3705 2013-01-24-php2Mdst3705 2013-01-24-php2
Mdst3705 2013-01-24-php2Rafael Alvarado
 
Mdst3703 graph-theory-11-20-2012
Mdst3703 graph-theory-11-20-2012Mdst3703 graph-theory-11-20-2012
Mdst3703 graph-theory-11-20-2012Rafael Alvarado
 
Mdst3703 maps-and-timelines-2012-11-13
Mdst3703 maps-and-timelines-2012-11-13Mdst3703 maps-and-timelines-2012-11-13
Mdst3703 maps-and-timelines-2012-11-13Rafael Alvarado
 
Mdst3703 culturomics-2012-11-01
Mdst3703 culturomics-2012-11-01Mdst3703 culturomics-2012-11-01
Mdst3703 culturomics-2012-11-01Rafael Alvarado
 
Mdst3703 visualization-2012-10-23
Mdst3703 visualization-2012-10-23Mdst3703 visualization-2012-10-23
Mdst3703 visualization-2012-10-23Rafael Alvarado
 
Mdst3703 shiva-2012-10-18
Mdst3703 shiva-2012-10-18Mdst3703 shiva-2012-10-18
Mdst3703 shiva-2012-10-18Rafael Alvarado
 

Mehr von Rafael Alvarado (20)

Mdst3703 2013-10-08-thematic-research-collections
Mdst3703 2013-10-08-thematic-research-collectionsMdst3703 2013-10-08-thematic-research-collections
Mdst3703 2013-10-08-thematic-research-collections
 
Mdst3703 2013-10-01-hypertext-and-history
Mdst3703 2013-10-01-hypertext-and-historyMdst3703 2013-10-01-hypertext-and-history
Mdst3703 2013-10-01-hypertext-and-history
 
Mdst3703 2013-09-24-hypertext
Mdst3703 2013-09-24-hypertextMdst3703 2013-09-24-hypertext
Mdst3703 2013-09-24-hypertext
 
Presentation1
Presentation1Presentation1
Presentation1
 
Mdst3703 2013-09-12-semantic-html
Mdst3703 2013-09-12-semantic-htmlMdst3703 2013-09-12-semantic-html
Mdst3703 2013-09-12-semantic-html
 
Mdst3703 2013-09-17-text-models
Mdst3703 2013-09-17-text-modelsMdst3703 2013-09-17-text-models
Mdst3703 2013-09-17-text-models
 
Mdst3703 2013-09-10-textual-signals
Mdst3703 2013-09-10-textual-signalsMdst3703 2013-09-10-textual-signals
Mdst3703 2013-09-10-textual-signals
 
Mdst3703 2013-09-03-plato2
Mdst3703 2013-09-03-plato2Mdst3703 2013-09-03-plato2
Mdst3703 2013-09-03-plato2
 
Mdst3703 2013-08-29-hello-world
Mdst3703 2013-08-29-hello-worldMdst3703 2013-08-29-hello-world
Mdst3703 2013-08-29-hello-world
 
UVA MDST 3703 2013 08-27 Introduction
UVA MDST 3703 2013 08-27 IntroductionUVA MDST 3703 2013 08-27 Introduction
UVA MDST 3703 2013 08-27 Introduction
 
MDST 3705 2012-03-05 Databases to Visualization
MDST 3705 2012-03-05 Databases to VisualizationMDST 3705 2012-03-05 Databases to Visualization
MDST 3705 2012-03-05 Databases to Visualization
 
Mdst3705 2013-02-26-db-as-genre
Mdst3705 2013-02-26-db-as-genreMdst3705 2013-02-26-db-as-genre
Mdst3705 2013-02-26-db-as-genre
 
Mdst3705 2013-02-19-text-into-data
Mdst3705 2013-02-19-text-into-dataMdst3705 2013-02-19-text-into-data
Mdst3705 2013-02-19-text-into-data
 
Mdst3705 2013-02-12-finding-data
Mdst3705 2013-02-12-finding-dataMdst3705 2013-02-12-finding-data
Mdst3705 2013-02-12-finding-data
 
Mdst3705 2013-01-24-php2
Mdst3705 2013-01-24-php2Mdst3705 2013-01-24-php2
Mdst3705 2013-01-24-php2
 
Mdst3703 graph-theory-11-20-2012
Mdst3703 graph-theory-11-20-2012Mdst3703 graph-theory-11-20-2012
Mdst3703 graph-theory-11-20-2012
 
Mdst3703 maps-and-timelines-2012-11-13
Mdst3703 maps-and-timelines-2012-11-13Mdst3703 maps-and-timelines-2012-11-13
Mdst3703 maps-and-timelines-2012-11-13
 
Mdst3703 culturomics-2012-11-01
Mdst3703 culturomics-2012-11-01Mdst3703 culturomics-2012-11-01
Mdst3703 culturomics-2012-11-01
 
Mdst3703 visualization-2012-10-23
Mdst3703 visualization-2012-10-23Mdst3703 visualization-2012-10-23
Mdst3703 visualization-2012-10-23
 
Mdst3703 shiva-2012-10-18
Mdst3703 shiva-2012-10-18Mdst3703 shiva-2012-10-18
Mdst3703 shiva-2012-10-18
 

Mdst3705 2013-01-31-php3

  • 1. PHP 3 Prof. Alvarado MDST 3705 31 January 2013
  • 2. Business • Course Schedule posted – Include project days in April that may be used for more content, depending on progress
  • 3. Review • Hackers = builders – Coders and Painters are both hackers – Building is a way of knowing (praxis) – Coders and Painters have different skills • Hacking involves awareness of two levels – LEVEL 1: Rules, methods, techniques – LEVEL 2: Effects, emergence, products – The two levels interact – The two levels are in tension
  • 4. Programs like 10 PRINT and Conway’s Game of Life exemplify the difference and relationship between levels
  • 5.
  • 6.
  • 8. Digital art is created by algorithms like these
  • 9. What happens when we want to study “real” art and literature? How can we use the computer to help in the task of interpretation? (The digital humanities is about interpreting the art, literature, and other products of human intellectual labor)
  • 10. We can view works of art and literature as patterns generated by rules
  • 11.
  • 12.
  • 14. Claude Shannon showed that English is governed by probabilities It is possible to generate sentences that almost make sense, using a random generator, like the 10 PRINT program, governed by probabilities for each letter or word

Hinweis der Redaktion

  1. http://people.virginia.edu/~rca2t/MDST3705/play/life.html
  2. Ben Fryhttp://www.solaas.com.ar/dreamlines/p5/ben_fry.jpg