Introduction to computational thinking
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Course m269
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Published
  • 2014-05-12T13:48:00.000Z
  • 2014-05-16T09:31:57.000Z
  • 2014-06-09T13:01:51.000Z
  • 2014-06-09T13:43:00.000Z
  • 2014-06-10T08:56:00.000Z
  • 2014-06-10T09:01:03.000Z
  • 2014-06-10T09:56:00.000Z
  • 2016-02-22T12:32:17.000Z
  • 2016-04-08T14:58:00.000Z
  • 2016-04-08T15:02:28.000Z
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  • Copyright © 2014 The Open University
  • Copyright © 2016 The Open University
  • Licensed under a Creative Commons Attribution - NonCommercial-ShareAlike 2.0 Licence - see http://creativecommons.org/licenses/by-nc-sa/2.0/uk/ - Original copyright The Open University
Type
Label Introduction to computational thinking
Title Introduction to computational thinking
Description
  • You will learn about algorithms and abstraction, and encounter some applications of computational thinking in various disciplines, ranging from biology and physics to economics and sport science. <link rel="canonical" href="http://www.open.edu/openlearn/science-maths-technology/computing-and-ict/introduction-computational-thinking/content-section-0" /> First published on Tue, 10 Jun 2014 as <a href="http://www.open.edu/openlearn/science-maths-technology/computing-and-ict/introduction-computational-thinking/content-section-0">Introduction to computational thinking</a>. To find out more visit The Open University's <a href="http://www.open.edu/openlearn/ole-home-page">Openlearn</a> website. Creative-Commons 2014
  • <div class="oucontent-quote oucontent-s-box"><blockquote><p>One can major [i.e. graduate] in computer science and do anything. One can major in English or mathematics and go on to a multitude of different careers. Ditto computer science. One can major in computer science and go on to a career in medicine, law, business, politics, any type of science or engineering, and even the arts.</p></blockquote><div class="oucontent-source-reference">Wing (2006)</div></div><p>Sounds great that &#x2018;One can major [i.e. graduate] in computer science and do anything’, doesn’t it? Then again, isn’t this miles away from the view of computing as a training ground for programmers and system builders? The good news is that one doesn’t necessarily need to exclude the other! The grand vision behind this quote is that learning to program, build large systems, and so on, allows you to develop something which is much more valuable than any of these on their own, namely the ability to <i>think like a computer scientist</i>. Over the past decade or so, Jeannette Wing has been popularising this view under the banner of <i>computational thinking</i>.</p><div class="oucontent-figure oucontent-media-mini"><img src="http://www.open.edu/openlearn/ocw/pluginfile.php/382781/mod_oucontent/oucontent/8901/6a49c2db/070ed8a7/m269_u01_s03_intro.jpg" alt="" width="200" height="150"/><div class="oucontent-figure-text"><div class="oucontent-caption">Figure 1 <span class="oucontent-figure-caption"> Jeannette M. Wing, Professor of Computer Science at Carnegie Mellon University (United States) and Head of Microsoft Research International</span></div></div></div><p>Much of the material in this unit is organised around video clips from a presentation that Wing gave in 2009 entitled &#x2018;Computational Thinking and Thinking About Computing’ (Wing, 2009). The presentation builds on Wing’s influential 2006 &#x2018;Computational Thinking’ paper in which she set out to &#x2018;spread the joy, awe, and power of computer science, aiming to make computational thinking commonplace’ (Wing, 2006, p.&#xA0;35).</p><p>In this unit you will learn more about what computational thinking is and why it is such a desirable skill – arguably <i>the</i> skill for the twenty-first century. </p><p>This unit is an adapted extract from the Open University course <span class="oucontent-linkwithtip"><a class="oucontent-hyperlink" href="http://www3.open.ac.uk/study/undergraduate/course/m269.htm">M269 <i>Algorithms, data structures and computability</i></a></span>.</p>
  • This unit is based around the theme of computational thinking. Formulating a problem for efficient solution by computers is an extremely important skill. You will learn about algorithms and abstraction, and encounter some applications of computational thinking in other disciplines, ranging from biology and physics to economics and sport science. <link rel="canonical" href="http://www.open.edu/openlearn/science-maths-technology/computing-and-ict/introduction-computational-thinking/content-section-0" /> First published on Mon, 12 May 2014 as <a href="http://www.open.edu/openlearn/science-maths-technology/computing-and-ict/introduction-computational-thinking/content-section-0">Introduction to computational thinking</a>. To find out more visit The Open University's <a href="http://www.open.edu/openlearn/ole-home-page">Openlearn</a> website. Creative-Commons 2014
  • <div class="oucontent-quote oucontent-s-box"><blockquote><p>One can major [i.e. graduate] in computer science and do anything. One can major in English or mathematics and go on to a multitude of different careers. Ditto computer science. One can major in computer science and go on to a career in medicine, law, business, politics, any type of science or engineering, and even the arts.</p></blockquote><div class="oucontent-source-reference">Jeannette M. Wing, Professor of Computer Science at Carnegie Mellon University (United States) and Head of Microsoft Research International</div></div><p>Sounds great that &#x2018;One can major [i.e. graduate] in computer science and do anything’, doesn’t it? Then again, isn’t this miles away from the view of computing as a training ground for programmers and system builders? The good news is that one doesn’t necessarily need to exclude the other! The grand vision behind this quote is that learning to program, build large systems, and so on, allows you to develop something which is much more valuable than any of these on their own, namely the ability to <i>think like a computer scientist</i>. Over the past decade or so, Jeannette Wing has been popularising this view under the banner of <i>computational thinking</i>.</p><div class="oucontent-figure" style="width:498px;"><img src="http://www.open.edu/openlearn/ocw/pluginfile.php/382781/mod_oucontent/oucontent/8901/6250184e/05aa45aa/m269_u01_s01_introfig.jpg" alt="Described image" width="498" height="355" longdesc="%%BASEURL%%&amp;extra=longdesc_idp2798416"/><div class="oucontent-figure-text"><div class="oucontent-caption">Figure 1 <span class="oucontent-figure-caption"> Abstraction, a recurring theme in this unit, illustrated by four representations of a cow by Theo van Doesburg, 1917, 1918</span></div></div><div class="oucontent-longdesclink oucontent-longdesconly"><a href="http://www.open.edu/openlearn/ocw/mod/oucontent/view.php?id=18149&amp;extra=longdesc_idp2798416&amp;clicked=1">Long description</a></div><a id="back_longdesc_idp2798416"></a></div><p>Much of the material in this unit is organised around video clips from a presentation that Wing gave in 2009 entitled &#x2018;Computational Thinking and Thinking About Computing’ (Wing, 2009). The presentation builds on Wing’s influential 2006 &#x2018;Computational Thinking’ paper in which she set out to &#x2018;spread the joy, awe, and power of computer science, aiming to make computational thinking commonplace’ (Wing, 2006, p.&#xA0;35).</p><p>In this unit you will learn more about what computational thinking is and why it is such a desirable skill – arguably <i>the</i> skill for the twenty-first century. </p><p>This unit is an adapted extract from the Open University course <span class="oucontent-linkwithtip"><a class="oucontent-hyperlink" href="http://www3.open.ac.uk/study/undergraduate/course/m269.htm">M269 <i>Algorithms, data structures and computability</i></a></span>.</p>
  • <div class="oucontent-quote oucontent-s-box"><blockquote><p>One can major [i.e. graduate] in computer science and do anything. One can major in English or mathematics and go on to a multitude of different careers. Ditto computer science. One can major in computer science and go on to a career in medicine, law, business, politics, any type of science or engineering, and even the arts.</p></blockquote><div class="oucontent-source-reference">Jeannette M. Wing, Professor of Computer Science at Carnegie Mellon University (United States) and Head of Microsoft Research International</div></div><p>Sounds great that &#x2018;One can major [i.e. graduate] in computer science and do anything’, doesn’t it? Then again, isn’t this miles away from the view of computing as a training ground for programmers and system builders? The good news is that one doesn’t necessarily need to exclude the other! The grand vision behind this quote is that learning to program, build large systems, and so on, allows you to develop something which is much more valuable than any of these on their own, namely the ability to <i>think like a computer scientist</i>. Over the past decade or so, Jeannette Wing has been popularising this view under the banner of <i>computational thinking</i>.</p><div class="oucontent-figure" style="width:498px;"><img src="http://www.open.edu/openlearn/ocw/pluginfile.php/382781/mod_oucontent/oucontent/8901/6250184e/05aa45aa/m269_u01_s01_introfig.jpg" alt="Described image" width="498" height="355" longdesc="%%BASEURL%%&amp;extra=longdesc_idp3055904"/><div class="oucontent-figure-text"><div class="oucontent-caption">Figure 1 <span class="oucontent-figure-caption"> Abstraction, a recurring theme in this unit, illustrated by four representations of a cow by Theo van Doesburg, 1917, 1918</span></div></div><div class="oucontent-longdesclink oucontent-longdesconly"><a href="http://www.open.edu/openlearn/ocw/mod/oucontent/view.php?id=18149&amp;extra=longdesc_idp3055904&amp;clicked=1">Long description</a></div><a id="back_longdesc_idp3055904"></a></div><p>Much of the material in this unit is organised around video clips from a presentation that Wing gave in 2009 entitled &#x2018;Computational Thinking and Thinking About Computing’ (Wing, 2009). The presentation builds on Wing’s influential 2006 &#x2018;Computational Thinking’ paper in which she set out to &#x2018;spread the joy, awe, and power of computer science, aiming to make computational thinking commonplace’ (Wing, 2006, p.&#xA0;35).</p><p>In this unit you will learn more about what computational thinking is and why it is such a desirable skill – arguably <i>the</i> skill for the twenty-first century. </p><p>This unit is an adapted extract from the Open University course <span class="oucontent-linkwithtip"><a class="oucontent-hyperlink" href="http://www3.open.ac.uk/study/undergraduate/course/m269.htm">M269 <i>Algorithms, data structures and computability</i></a></span>.</p>
  • <div class="oucontent-quote oucontent-s-box"><blockquote><p>One can major [i.e. graduate] in computer science and do anything. One can major in English or mathematics and go on to a multitude of different careers. Ditto computer science. One can major in computer science and go on to a career in medicine, law, business, politics, any type of science or engineering, and even the arts.</p></blockquote><div class="oucontent-source-reference">Jeannette M. Wing, Professor of Computer Science at Carnegie Mellon University (United States) and Head of Microsoft Research International</div></div><p>Sounds great that &#x2018;One can major [i.e. graduate] in computer science and do anything’, doesn’t it? Then again, isn’t this miles away from the view of computing as a training ground for programmers and system builders? The good news is that one doesn’t necessarily need to exclude the other! The grand vision behind this quote is that learning to program, build large systems, and so on, allows you to develop something which is much more valuable than any of these on their own, namely the ability to <i>think like a computer scientist</i>. Over the past decade or so, Jeannette Wing has been popularising this view under the banner of <i>computational thinking</i>.</p><div class="oucontent-figure" style="width:498px;"><img src="http://www.open.edu/openlearn/ocw/pluginfile.php/382781/mod_oucontent/oucontent/8901/6250184e/05aa45aa/m269_u01_s01_introfig.jpg" alt="Described image" width="498" height="355" style="max-width:498px;" class="oucontent-figure-image oucontent-media-wide" longdesc="%%BASEURL%%&amp;extra=longdesc_idp2912128"/><div class="oucontent-figure-text"><div class="oucontent-caption">Figure 1 <span class="oucontent-figure-caption"> Abstraction, a recurring theme in this course, illustrated by four representations of a cow by Theo van Doesburg, 1917, 1918</span></div></div><div class="oucontent-longdesclink oucontent-longdesconly"><a href="http://www.open.edu/openlearn/ocw/mod/oucontent/view.php?id=18149&amp;extra=longdesc_idp2912128&amp;clicked=1">Long description</a></div><a id="back_longdesc_idp2912128"></a></div><p>Much of the material in this course is organised around video clips from a presentation that Wing gave in 2009 entitled &#x2018;Computational Thinking and Thinking About Computing’ (Wing, 2009). The presentation builds on Wing’s influential 2006 &#x2018;Computational Thinking’ paper in which she set out to &#x2018;spread the joy, awe, and power of computer science, aiming to make computational thinking commonplace’ (Wing, 2006, p.&#xA0;35).</p><p>In this course you will learn more about what computational thinking is and why it is such a desirable skill – arguably <i>the</i> skill for the twenty-first century. </p><p>This OpenLearn course is an adapted extract from the Open University course <span class="oucontent-linkwithtip"><a class="oucontent-hyperlink" href="http://www3.open.ac.uk/study/undergraduate/course/m269.htm">M269 <i>Algorithms, data structures and computability</i></a></span>.</p>
  • You will learn about algorithms and abstraction in this free course, Introduction to computational thinking, and encounter some applications of computational thinking in various disciplines, ranging from biology and physics to economics and sport science. <link rel="canonical" href="http://www.open.edu/openlearn/science-maths-technology/computing-and-ict/introduction-computational-thinking/content-section-0" /> First published on Tue, 10 Jun 2014 as <a href="http://www.open.edu/openlearn/science-maths-technology/computing-and-ict/introduction-computational-thinking/content-section-0">Introduction to computational thinking</a>. To find out more visit The Open University's <a href="http://www.open.edu/openlearn/ole-home-page">Openlearn</a> website. Creative-Commons 2014
  • This unit is based around the theme of computational thinking. Formulating a problem for efficient solution by computers is an extremely important skill. You will learn about algorithms and abstraction, and encounter some applications of computational thinking in other disciplines, ranging from biology and physics to economics and sport science. <link rel="canonical" href="http://www.open.edu/openlearn/science-maths-technology/computing-and-ict/introduction-computational-thinking/content-section-0" /> First published on Mon, 09 Jun 2014 as <a href="http://www.open.edu/openlearn/science-maths-technology/computing-and-ict/introduction-computational-thinking/content-section-0">Introduction to computational thinking</a>. To find out more visit The Open University's <a href="http://www.open.edu/openlearn/ole-home-page">Openlearn</a> website. Creative-Commons 2014
  • You will learn about algorithms and abstraction, and encounter some applications of computational thinking in other disciplines, ranging from biology and physics to economics and sport science. <link rel="canonical" href="http://www.open.edu/openlearn/science-maths-technology/computing-and-ict/introduction-computational-thinking/content-section-0" /> First published on Tue, 10 Jun 2014 as <a href="http://www.open.edu/openlearn/science-maths-technology/computing-and-ict/introduction-computational-thinking/content-section-0">Introduction to computational thinking</a>. To find out more visit The Open University's <a href="http://www.open.edu/openlearn/ole-home-page">Openlearn</a> website. Creative-Commons 2014
  • <div class="oucontent-quote oucontent-s-box"><blockquote><p>One can major [i.e. graduate] in computer science and do anything. One can major in English or mathematics and go on to a multitude of different careers. Ditto computer science. One can major in computer science and go on to a career in medicine, law, business, politics, any type of science or engineering, and even the arts.</p></blockquote><div class="oucontent-source-reference">Jeannette M. Wing, Professor of Computer Science at Carnegie Mellon University (United States) and Head of Microsoft Research International</div></div><p>Sounds great that &#x2018;One can major [i.e. graduate] in computer science and do anything’, doesn’t it? Then again, isn’t this miles away from the view of computing as a training ground for programmers and system builders? The good news is that one doesn’t necessarily need to exclude the other! The grand vision behind this quote is that learning to program, build large systems, and so on, allows you to develop something which is much more valuable than any of these on their own, namely the ability to <i>think like a computer scientist</i>. Over the past decade or so, Jeannette Wing has been popularising this view under the banner of <i>computational thinking</i>.</p><div class="oucontent-figure" style="width:498px;"><img src="http://www.open.edu/openlearn/ocw/pluginfile.php/382781/mod_oucontent/oucontent/8901/6250184e/05aa45aa/m269_u01_s01_introfig.jpg" alt="Described image" width="498" height="355" longdesc="%%BASEURL%%&amp;extra=longdesc_idp2842128"/><div class="oucontent-figure-text"><div class="oucontent-caption">Figure 1 <span class="oucontent-figure-caption"> Abstraction, a recurring theme in this course, illustrated by four representations of a cow by Theo van Doesburg, 1917, 1918</span></div></div><div class="oucontent-longdesclink oucontent-longdesconly"><a href="http://www.open.edu/openlearn/ocw/mod/oucontent/view.php?id=18149&amp;extra=longdesc_idp2842128&amp;clicked=1">Long description</a></div><a id="back_longdesc_idp2842128"></a></div><p>Much of the material in this course is organised around video clips from a presentation that Wing gave in 2009 entitled &#x2018;Computational Thinking and Thinking About Computing’ (Wing, 2009). The presentation builds on Wing’s influential 2006 &#x2018;Computational Thinking’ paper in which she set out to &#x2018;spread the joy, awe, and power of computer science, aiming to make computational thinking commonplace’ (Wing, 2006, p.&#xA0;35).</p><p>In this course you will learn more about what computational thinking is and why it is such a desirable skill – arguably <i>the</i> skill for the twenty-first century. </p><p>This OpenLearn course is an adapted extract from the Open University course <span class="oucontent-linkwithtip"><a class="oucontent-hyperlink" href="http://www3.open.ac.uk/study/undergraduate/course/m269.htm">M269 <i>Algorithms, data structures and computability</i></a></span>.</p>
  • You will learn about algorithms and abstraction in this free course, Introduction to computational thinking, and encounter some applications of computational thinking in various disciplines, ranging from biology and physics to economics and sport science. <link rel="canonical" href="http://www.open.edu/openlearn/science-maths-technology/computing-and-ict/introduction-computational-thinking/content-section-0" /> First published on Fri, 08 Apr 2016 as <a href="http://www.open.edu/openlearn/science-maths-technology/computing-and-ict/introduction-computational-thinking/content-section-0">Introduction to computational thinking</a>. To find out more visit The Open University's <a href="http://www.open.edu/openlearn/ole-home-page">Openlearn</a> website. Creative-Commons 2016