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Like ''[[Structure and Interpretation of Computer Programs]]'' (SICP), HtDP relies on a variant of the programming language [[Scheme (programming language)|Scheme]]. It includes its own programming [[integrated development environment]] (IDE), named [[DrRacket]], which provides a series of programming languages. The first language supports only functions, atomic data, and simple structures. Each language adds expressive power to the prior one. Except for the largest teaching language, all languages for HtDP are [[functional programming]] languages.
==Pedagogical basis==
In the 2004 paper, The Structure and Interpretation of the Computer Science Curriculum,<ref>{{Citation
|url=http://www.ccs.neu.edu/scheme/pubs/jfp2004-fffk.pdf
|title=The Structure and Interpretation of the Computer Science Curriculum. Journal of Functional Programming, Volume 14, Issue 4 (July 2004) Pages: 365 - 378
|year=2004
|publisher=NEU
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|archive-url=https://web.archive.org/web/20080511171056/http://www.ccs.neu.edu/scheme/pubs/jfp2004-fffk.pdf
|archive-date=May 11, 2008
}} a paper in which the authors compare and contrast HtDP with SICP.</ref> the same authors
The paper introduces the pedagogical landscape surrounding the publication of SICP. The paper starts with a history and critique of SICP, followed by a description of the goal of the [[computing]] curriculum. It then describes the principles of teaching behind HtDP; in particular, the difference between implicit vs. explicit teaching of design principles. It then continues on to describe the role of [[Scheme (programming language)|Scheme]] and the importance of an ideal [[Computer programming|programming]] environment, and concludes with an extensive evaluation of content and student/faculty reaction to experience with SICP vs. HtDP.
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#The book assumes less ___domain knowledge than that of SICP.
The paper then distinguishes between structural [[recursion]], where the related data definition happens to be [[self-referential]], requiring usually a straightforward design process, and generative recursion, where new problem data is generated in the middle of the problem-solving process and the problem solving method is re-used, often requiring ''ad hoc'' mathematical insight, and stresses how this distinction makes their approach scalable to the [[Object-oriented programming|object-oriented]] (OO) world.
Finally, the paper concludes with a description of responses from various faculty and students after having used HtDP in the classroom.
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== External links ==
* {{Official website|htdp.org}}, 2018 2nd edition, 2003 1st edition
{{Lisp programming language}}
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[[Category:Computer science books]]
[[Category:MIT Press books]]
[[Category:Computer programming books]]
[[Category:Scheme (programming language)]]
[[Category:Creative Commons-licensed books]]
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