Fundamentals of Computer-Aided Engineering / Edition 1by Benny Raphael, Ian F. C. Smith, I.F.C. Smith
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… See more details below
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.
- 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.
- Publication date:
- Edition description:
- New Edition
- Product dimensions:
- 6.61(w) x 9.70(h) x 0.70(d)
Table of Contents
1. Fundamental Logic and the Definition of Engineering Tasks.
Three Types of Inference.
A Model of Information and Tasks.
Another Task Definition.
The Five Orders of Ignorance.
Program Execution Time versus Task Size.
Big Oh Notation.
Practical Methods for Determining the Complexity of Algorithms.
P, NP and NP-completeness.
3. Data Structures.
Derived Data Types.
Abstract Data Types.
Conceptual Structural Design of Buildings.
4. Object Representation and Reasoning.
Introduction.Grouping Data and Methods.
Definitions and Basic Concepts.
Important Characteristics of Objects.
Applications outside Programming.
An Object-O riented Design Methodology.
5. Database Concepts.
Relational Database Systems.
Relational Database Design.
Other Types of Database.
6. Computational Mechanics.
From Physical Equations to Practical Systems.
Methods for Finding Solutions.
Issues in Computer-Aided Engineering.
7. Constraint-Based Reasoning.
Reasoning with Constraints on Discrete Variables.
Reasoning with Constraints on Continuous Variables.
8. Optimization and Search.
Classification of Methods.
Deterministic Optimization and Search.
A Closer Look at Genetic Algorithms.
Summary of Methods.
9. Knowledge Systems for Decision Support.
Important Characteristics of Knowledge Systems.
Representation of Knowledge.
Reasoning with Knowledge.
Importance of the User Interface.
Maintenance of Knowledge.
10. Machine Learning.
Improving with Experience.
Formalizing the Learning Task.
A Closer Look at Artificial Neural Networks.
11. Geometric Modelling.
Mathematical Models for Representing Geometry.
Representing Complex Solids.
12. Computer Graphics.
Tasks of Computer Graphics.
The Graphics Pipeline.
13. Distributed Applications and the Web.
Examples of Client-Server Applications.
Distinctive Features of C/S Systems.
Client-Server System Design.
Advantages of Client-Server Systems.
Developing Client-Server Applications.
The World Wide Web.
and post it to your social network
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