ISBN: 9783642233036

To 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 dis… More...

To 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. Books > Computer Science eBook, Springer Shop<

2011, ISBN: 9783642233036

To 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 dis… More...

To 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. eBook Aaron R. Bradley PDF, Springer, 25.10.2011, Springer, 2011<

ISBN: 9783642233036

Teaching programming for engineers in a rigorous manner, this volume introduces pointer-based memory manipulation in the first chapter, and moves on from C to Matlab and Octave programmin… More...

Teaching programming for engineers in a rigorous manner, this volume introduces pointer-based memory manipulation in the first chapter, and moves on from C to Matlab and Octave programming, all of which are important methods for engineers in any sector.; PDF; Scientific, Technical and Medical > Technology: general issues > Engineering: general, Birkhauser Basel<

2011, ISBN: 9783642233036

A Foundational Approach to Learning C and Matlab, eBooks, eBook Download (PDF), Auflage, [PU: Springer Berlin Heidelberg], [ED: 1], Springer Berlin Heidelberg, 2011

2011, ISBN: 9783642233036

A Foundational Approach to Learning C and Matlab, eBooks, eBook Download (PDF), Auflage, [PU: Springer-Verlag], [ED: 1], Springer-Verlag, 2011