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Got the mail on May 7th.

On May 7, 2014, at 4:51 AM, Keith Russell <[log in to unmask]> wrote:

> Dear All,
> 
> Included is a message to the Group from Ken Friedman that seems to have been caught up in the system.
> 
> Keith russell
> 
>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>> 
> 
> From: Ken Friedman <[log in to unmask]<mailto:[log in to unmask]>>
> Date: 6 May 2014 21:21:38 AEST
> To: PHD-DESIGN PHD-DESIGN <[log in to unmask]<mailto:[log in to unmask]>>
> Subject: How to Solve It
> 
> Dear All,
> 
> On Sunday, I announced the availability of a PDF copy of How to Solve It, George Polya's classic book on problem-solving and heuristics. You will find the PDF on my Academia page in the "Teaching Documents" section at:
> 
> https://swinburne.academia.edu/KenFriedman
> 
> This is a limited opportunity - the book will come down at the end of Monday, May 5.
> 
> To give you a sense of this book, here is the table of contents:
> 
> PART I. IN THE CLASSROOM
> 
> Purpose
> 
> 1. Helping the student
> 2. Questions, recommendations,
> mental operations
> 3· Generality
> 4· Common sense
> 5· Teacher and student. Imitation and practice
> 
> Main divisions~ main questions
> 
> 6. Four phases
> 7· Understanding the problem
> 8. Example
> 9. Devising a plan
> 1o. Example
> 11. Carrying out the plan
> 12. Example
> 13. Looking back
> 14. Example
> 15. Various approaches
> 16. The teacher's method of questioning
> 17. Good questions and bad questions
> 
> More examples
> 
> 18. A problem of construction
> 19. A problem to prove
> 20. A rate problem
> 
> PART II. HOW TO SOLVE IT
> 
> A dialogue
> 
> PART III. SHORT DICTIONARY OF HEURISTIC
> 
> Analogy
> Auxiliary elements
> Auxiliary problem
> Balzano
> Bright idea
> Can you check the result?
> Can you derive the result differently?
> Can you use the result?
> Carrying out
> Condition
> Contradictory
> Corollary
> Contents
> Could you derive something useful from the data?
> Could you restate the problem?
> Decomposing and recombining
> Definition
> Descartes
> Determination, hope, success
> Diagnosis
> Did you use all the data?
> Do you know a related problem?
> Draw a figure
> Examine your guess
> Figures
> Generalization
> Have you seen it before?
> Here is a problem related to yours and solved before
> Heuristic
> Heuristic reasoning
> If you cannot solve the proposed problem
> Induction and mathematical induction
> Inventor's paradox
> Is it possible to satisfy the condition?
> Leibnitz
> Lemma
> Look at the unknown
> Modern heuristic
> Notation
> Pappus
> Pedantry and mastery
> Practical problems
> Contents
> Problems to find, problems to prove
> Progress and achievement
> Puzzles
> Reductio ad absurdum and indirect proof
> Redundant
> Routine problem
> Rules of discovery
> Rules of style
> Rules of teaching
> Separate the various parts of the condition
> Setting up equations
> Signs of progress
> Specialization
> Subconscious work
> Symmetry
> Terms, old and new
> Test by dimension
> The future mathematician
> The intelligent problem-solver
> The intelligent reader
> The traditional mathematics professor
> Variation of the problem
> What is the unknown?
> Why proofs?
> Wisdom of proverbs
> Working backwards
> 
> PART IV. PROBLEMS, HINTS, SOLUTIONS
> 
> Problems
> Hints
> Solutions
> 
> While Polya was a mathematician, many of these techniques and heuristics apply across most fields. Anyone who solves problems for a living will find value in this book.
> 
> Yours,
> 
> Ken
> 
> Ken Friedman, PhD, DSc (hc), FDRS | University Distinguished Professor | Swinburne University of Technology | Melbourne, Australia | University email [log in to unmask]<mailto:[log in to unmask]> | Private email [log in to unmask]<mailto:[log in to unmask]> | Mobile +61 404 830 462 | Academia Pagehttp://swinburne.academia.edu/KenFriedman
> 
> Guest Professor | College of Design and Innovation | Tongji University | Shanghai, China ||| Adjunct Professor | School of Creative Arts | James Cook University | Townsville, Australia
> 
> --
> 
> References
> 
> Polya, G. 1973 [1957]. How to Solve It. A New Aspect of Mathematical Method. Second edition. Princeton, New Jersey: Princeton University Press.
> 
> --
> 
> 
> 
> 
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