000 03466nam a22004815i 4500
001 978-3-642-23303-6
003 DE-He213
005 20140220083811.0
007 cr nn 008mamaa
008 111024s2011 gw | s |||| 0|eng d
020 _a9783642233036
_9978-3-642-23303-6
024 7 _a10.1007/978-3-642-23303-6
_2doi
050 4 _aQA76.758
072 7 _aUMZ
_2bicssc
072 7 _aUL
_2bicssc
072 7 _aCOM051230
_2bisacsh
082 0 4 _a005.1
_223
100 1 _aBradley, Aaron R.
_eauthor.
245 1 0 _aProgramming for Engineers
_h[electronic resource] :
_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 _uhttp://dx.doi.org/10.1007/978-3-642-23303-6
912 _aZDB-2-SCS
999 _c108338
_d108338