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＜電子ブック＞
Functional Programming Languages in Education : 1st International Symposium FPLE '95 Nijmegen, The Netherlands, December 4-6, 1995. Proceedings / edited by Pieter Hartel
(Lecture Notes in Computer Science. ISSN:16113349 ; 1022)

版	1st ed. 1995.
出版者	(Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer)
出版年	1995
本文言語	英語
大きさ	XI, 317 p : online resource
著者標目	Hartel, Pieter editor SpringerLink (Online service)
件　名	LCSH:Compilers (Computer programs) LCSH:Computer programming LCSH:Computer science FREE:Compilers and Interpreters FREE:Programming Techniques FREE:Computer Science Logic and Foundations of Programming
一般注記	Elementary strong functional programming -- Introducing computer science undergraduates to principles of programming through a functional language -- Teaching C after Miranda -- Requirements for an ideal first language -- A second year course on data structures based on functional programming -- Functional programming through the curriculum -- Experiences in teaching large scale functional programming -- Functional programming and mathematical objects -- Explaining algebraic theory with functional programs -- Inducing students to induct -- Conceptual structures for recursion -- Teaching functional circuit specification in Hydra -- Functional programming in a basic database course -- Using ?-RED as a teaching tool for functional programming and program execution -- Compiler construction using scheme -- Basic proof skills of computer science students -- The Dys-functional student This book constitutes the refereed proceedings of the First International Symposium on Functional Programming Languages in Education, FPLE '95, held in Nijmegen, The Netherlands in December 1995. The 17 revised full papers included represent the current state-of-the-art in using functional languages in computer science education. Most papers report teaching experience in some detail, however, the emphasis is generally on technical issues. Functional languages are increasingly used for teaching in a number of important areas such as algorithms, data structures, compiler construction, computer architecture, computer graphics, mathematics, problem solving and the semantics of programming languages HTTP:URL=https://doi.org/10.1007/3-540-60675-0

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