README.md

Book Chapters, Hamming Learning to Learn

These chapters match the final copy (with proofreading markups) sent to the publishing company prior to publication. The publisher applied proper book layouts and also replaced hand-drawn line art with matching figures that were produced by a professional artist.

Dr. Hamming gave permission for these chapters to get scanned and shared for students taking the course who needed the book. The original versions are in the scans subdirectory. Updated versions in this directory have been produced using Optical Character Recognition (OCR) via Adobe Acrobat 11 in order to facilitate search.

/signed/ Donald P. Brutzman, 12 April 2020

---

• Hamming 01 Orientation, purpose of this course is to prepare you for your technical future.
• Hamming 02 Foundations of the Digital (Discrete) Revolution, revolution of signaling with continuous signals to signaling with discrete pulses.
• Hamming 03 History Of OfComputers - Hardware, from primitive man to the modern age.
• Hamming 04 History Of Computers - Software, historical account and insights into programming.
• Hamming 05 History Of Computer - Applications, repeating characteristics and common unrecognized trends.
• Hamming 06 Artificial Intelligence I, what is AI - can machines think?
• Hamming 07 Artificial Intelligence II, complementing and competing with humans - fundamental questions.
• Hamming 08 Artificial Intelligence III, do you believe that machines can think?
• Hamming 09 n-Dimensional Space, extrapolating geometric concepts to higher dimensions.
• Hamming 10 Coding Theory I, representing information that we want to process.
• Hamming 11 Coding Theory II, statistical approaches and Huffman encoding.
• Hamming 12 Error Correcting Codes, integrating redundant information for reliability and the discovery process.
• Hamming 13 Information Theory, essentials of Communication Theory and working with Claude Shannon.
• Hamming 14 Digital Filters I, early days of Digital Filters to process signals.
• Hamming 15 Digital Filters II, differences compared to analog filters were not initially understood.
• Hamming 16 Digital Filters III, systematic design of nonrecursive filters.
• Hamming 17 Digital Filters IV, considerations for recursive filters.
• Hamming 18 Simulation I, a simulation is the answer to the question "what if...?"
• Hamming 19 Simulation II, considering reliability, validity, authentic representation, and relevance.
• Hamming 20 Simulation III, considering Garbage In Garbage Out (GIGO).
• Hamming 21 Fiber Optics, examining historical development of significant technical capabilities during Hamming's lifetime.
• Hamming 22 Computer Aided Instruction, what is an educated person in a future society?
• Hamming 23 Mathematics, the language of clear thinking.
• Hamming 24 Quantum Mechanics, dualism of belief and reconciling apparent contradictions.
• Hamming 25 Creativity, originality and novelty: what do they mean?
• Hamming 26 Experts, how specialization and generalization can effect you and your career.
• Hamming 27 Unreliable Data, detecting and understanding problems in order to make reliable decisions.
• Hamming 28 Systems Engineering, attempting to keep larger goals in mind at all times, translating local actions into global results.
• Hamming 29 You Get What You Measure, the way you choose to measure things controls to a large extent what happens.
• Hamming 30 Epistemology How Do We Know What We Know, considering meaning, logic, rationalism, experience, knowledge, and limits of science. (No book chapter available.)
• Hamming 31 You And Your Research, Hamming's most famous and frequent talk regarding you and your career.