000			03428nam a22004575i 4500
001			u376631
003			SIRSI
005			20160812084423.0
007			cr nn 008mamaa
008			111024s2011 gw | s |||| 0|eng d
020			_a9783642233036 _9978-3-642-23303-6
040			_cMX-MeUAM
050		4	_aQA76.758
082	0	4	_a005.1 _223
100	1		_aBradley, Aaron R. _eauthor.
245	1	0	_aProgramming for Engineers _h[recurso electrónico] : _bA Foundational Approach to Learning C and Matlab / _cby Aaron R. Bradley.
264		1	_aBerlin, Heidelberg : _bSpringer Berlin Heidelberg, _c2011.
300			_aXIV, 238 p. _bonline resource.
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
347			_atext file _bPDF _2rda
505	0		_aChap. 1, Memory: The Stack -- Chap. 2, Control -- Chap. 3, Arrays and Strings -- Chap. 4, Debugging -- Chap. 5, I/O -- Chap. 6, Memory: The Heap -- Chap. 7, Abstract Data Types -- Chap. 8, Linked Lists -- Chap. 9, Introduction to Matlab -- Chap. 10, Exploring ODEs with Matlab -- Chap. 11, Exploring Time and Frequency Domains with Matlab -- Chap. 12, Index.
520			_aTo learn to program is to be initiated into an entirely new way of thinking about engineering, mathematics, and the world in general. Computation is integral to all modern engineering disciplines, so the better you are at programming, the better you will be in your chosen field. The author departs radically from the typical presentation by teaching concepts and techniques in a rigorous manner rather than listing how to use libraries and functions. He presents pointers in the very first chapter as part of the development of a computational model that facilitates an ab initio presentation of subjects such as function calls, call-by-reference, arrays, the stack, and the heap. The model also allows students to practice the essential skill of memory manipulation throughout the entire course rather than just at the end. As a result, this textbook goes further than is typical for a one-semester course -- abstract data types and linked lists, for example, are covered in depth. The computational model will also serve students in their adventures with programming beyond the course: instead of falling back on rules, they can think through the model to decide how a new programming concept fits with what they already know. The book is appropriate for undergraduate students of engineering and computer science, and graduate students of other disciplines. It contains many exercises integrated into the main text, and the author has made the source code available online.
650		0	_aComputer science.
650		0	_aSoftware engineering.
650		0	_aData structures (Computer science).
650		0	_aComputer engineering.
650	1	4	_aComputer Science.
650	2	4	_aSoftware Engineering/Programming and Operating Systems.
650	2	4	_aElectrical Engineering.
650	2	4	_aData Structures, Cryptology and Information Theory.
650	2	4	_aMathematics of Computing.
710	2		_aSpringerLink (Online service)
773	0		_tSpringer eBooks
776	0	8	_iPrinted edition: _z9783642233029
856	4	0	_zLibro electrónico _uhttp://148.231.10.114:2048/login?url=http://link.springer.com/book/10.1007/978-3-642-23303-6
596			_a19
942			_cLIBRO_ELEC
999			_c204511 _d204511