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The Art of Doing Science and Engineering Learning to Learn 1st Edition by Richard W Hamming ISBN 9056995014 9789056995010

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The Art of Doing Science and Engineering Learning to Learn 1st Edition Richard W. Hamming Digital Instant Download

Author(s): Richard W. Hamming
ISBN(s): 9789056995010, 9056995014
Edition: 1st
File Details: PDF, 3.04 MB
Year: 2005
Language: english
SKU: EB-2136676 Category: Tag:

The Art of Doing Science and Engineering Learning to Learn 1st Edition by Richard W Hamming – Ebook PDF Instant Download/Delivery: 9056995014, 9789056995010
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ISBN 10: 9056995014
ISBN 13: 9789056995010
Author: Richard W Hamming

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.

The Art of Doing Science and Engineering Learning to Learn 1st Table of contents:

  1. Foundations of the Digital (Discrete) Revolution
    Explores the origins and impact of digital technologies on modern science and engineering.

  2. History of Computers—Hardware
    A look into the development of computer hardware and its evolution over time.

  3. History of Computers—Software
    Discusses the progression of software development and its integral role in computing.

  4. History of Computer Applications
    Examines how computers have been applied across various fields and industries.

  5. Limits of Computer Applications—AI I
    Analyzes the capabilities and limitations of artificial intelligence in practical applications.

  6. Limits of Computer Applications—AI II
    Continues the discussion on AI, focusing on its constraints and potential.

  7. Limits of Computer Applications—AI III
    Further exploration of AI’s boundaries and the challenges faced in its implementation.

  8. n-Dimensional Space
    Introduces the concept of higher-dimensional spaces and their relevance in various scientific contexts.

  9. Coding Theory I
    An overview of coding theory and its applications in error detection and correction.

  10. Coding Theory II
    Continues the discussion on coding theory, delving deeper into its complexities.

  11. Error-Correcting Codes
    Focuses on the development and importance of error-correcting codes in digital communication.

  12. Information Theory
    Explores the principles of information theory and its significance in data transmission and processing.

  13. Digital Filters I
    Introduces digital filters and their role in signal processing.

  14. Digital Filters II
    Continues the discussion on digital filters, examining their applications and design.

  15. Digital Filters III
    Further exploration of digital filters, focusing on advanced topics and techniques.

  16. Digital Filters IV
    Concludes the series on digital filters, summarizing key concepts and developments.

  17. Simulation I
    Discusses the principles and methodologies of simulation in scientific and engineering contexts.

  18. Simulation II
    Continues the exploration of simulation, emphasizing its applications and challenges.

  19. Simulation III
    Further examines simulation, focusing on advanced techniques and case studies.

  20. Fiber Optics
    Introduces the field of fiber optics and its impact on communication technologies.

  21. Computer-Aided Instruction (CAI)
    Explores the use of computer technology in educational settings to enhance learning experiences.

  22. Mathematics
    Discusses the role of mathematics as a foundational tool in science and engineering.

  23. Quantum Mechanics
    Introduces the principles of quantum mechanics and their applications in modern science.

  24. Creativity
    Examines the importance of creativity in scientific and engineering endeavors.

  25. Experts
    Discusses the characteristics and contributions of experts in various fields.

  26. Unreliable Data
    Addresses the challenges posed by unreliable data and strategies for managing them.

  27. Systems Engineering
    Explores the principles and practices of systems engineering in complex projects.

  28. You Get What You Measure
    Discusses the importance of measurement in achieving desired outcomes.

  29. You and Your Research
    Concludes with a personal reflection on the relationship between individuals and their research endeavors.

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