Hamming | Art of Doing Science and Engineering | Buch | 978-90-5699-501-0 | sack.de

Buch, Englisch, 376 Seiten, Format (B × H): 156 mm x 234 mm, Gewicht: 635 g

Hamming

Art of Doing Science and Engineering

Learning to Learn
1. Auflage 1997
ISBN: 978-90-5699-501-0
Verlag: Taylor & Francis

Learning to Learn

Buch, Englisch, 376 Seiten, Format (B × H): 156 mm x 234 mm, Gewicht: 635 g

ISBN: 978-90-5699-501-0
Verlag: Taylor & Francis

Highly effective thinking is an art that engineers and scientists can be taught to develop. By presenting actual experiences and analyzing them as they are described, the author conveys the developmental thought processes employed and shows a style of thinking that leads to successful results is something that can be learned. Along with spectacular successes, the author also conveys how failures contributed to shaping the thought processes.
Provides the reader with a style of thinking that will enhance a person's ability to function as a problem-solver of complex technical issues. Consists of a collection of stories about the author's participation in significant discoveries, relating how those discoveries came about and, most importantly, provides analysis about the thought processes and reasoning that took place as the author and his associates progressed through engineering problems.
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Autoren/Hrsg.

Hamming, Richard R.

Fachgebiete

Weitere Infos & Material

1. Foundations of the Digital (Discrete) Revolution 2. History of Computer Hardware 3. History of Computer Software 4. History of Computer Applications 5. Limits of Computer Applications - AI - I 6. Limits of Computer Applications - AI - III 7. N-Dimensional Space 8. Coding Theory - I 9. Error Correcting Codes 10. Information Theory
11. Digital Filters - I 12. Digital Filters - III 13. Digital Filters - IV 14. Simulation I 15. Simulation II 16. Simulation III 17. Fiber Optics 18. Limits of Computer Applications - AI - II 19. Coding Theory - II 20. Digital Filters - II 21. Creativity 22. You Get What You Measure
Information Theory
Digital Filters - III
Systems Engineering
Computer Aided Instruction - CAI
Mathematics
Quantum Mechanics
Experts
Unreliable Data
Systems Engineering
You and Your Research

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