It is vital that today�s engineers work with computer-based tools and techniques. However, programming courses do not provide engineering students with the skills that are necessary to succeed in their professional career. Here, the authors propose a novel, practical approach that encompasses knowledge assimilation, decision-making capabilities and technical agility, together with concepts in computer-aided engineering that are independent of hardware and software technologies.

This book:

Outlines general concepts such as fundamental logic, definition of engineering tasks and computational complexity
Covers numerous representation frameworks and reasoning strategies such as databases, objects, constraints, knowledge systems, search and optimisation, scientific computation and machine learning
Features visualization and distribution of engineering information
Presents a range of IT topics that are relevant to all branches of engineering
Offers many practical engineering examples and exercises

Fundamentals of Computer Aided Engineering provides support for all students involved in computer-aided engineering courses in civil, mechanical, chemical and environmental engineering. This book is also a useful reference for researchers, practising engineers using CAE and educators who wish to increase their knowledge of fundamental concepts.

Dalla quarta di copertina

It is vital that today s engineers work with computer-based tools and techniques. However, programming courses do not provide engineering students with the skills that are necessary to succeed in their professional career. Here, the authors propose a novel, practical approach that encompasses knowledge assimilation, decision-making capabilities and technical agility, together with concepts in computer-aided engineering that are independent of hardware and software technologies.

This book:

Outlines general concepts such as fundamental logic, definition of engineering tasks and computational complexity
Covers numerous representation frameworks and reasoning strategies such as databases, objects, constraints, knowledge systems, search and optimisation, scientific computation and machine learning
Features visualization and distribution of engineering information
Presents a range of IT topics that are relevant to all branches of engineering
Offers many practical engineering examples and exercises

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