000			02977nmm a22003015i 4500
005			20230705150633.0
008			111024s2011 gw | s |||| 0|eng d
020			_a9783642233036 _9978-3-642-23303-6
082			_a005.1 _223
100			_aBradley, Aaron R. _920219
245			_aProgramming for Engineers _h[electronic resource] : _bA Foundational Approach to Learning C and Matlab / _cby Aaron R. Bradley.
250			_a1st ed. 2011.
260			_aBerlin, Heidelberg : _bSpringer Berlin Heidelberg : _bImprint: Springer, _c2011.
300			_aXIV, 238 p. _bonline resource.
505			_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			_aSoftware engineering. _920220
650			_aElectrical engineering. _920221
650			_aData structures (Computer science). _920222
650			_aInformation theory. _920223
650			_aComputer science-Mathematics. _920224
650			_aSoftware Engineering. _920225
650			_aElectrical and Electronic Engineering. _920226
650			_aData Structures and Information Theory. _920227
650			_aMathematics of Computing. _920228
856			_uhttps://doi.org/10.1007/978-3-642-23303-6
942			_cEBK
999			_c13618 _d13618