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## C:\Documents And Settings\Anjds2\Desktop\Algo HeuristcsPresentation Transcript

• Algo-Heuristic Theory
By
MB
Timothy Perry
John Seltenright
• Lev Landa
Lev Landa – Formulated Algo-Heuristic Theory, also known as Landamatics.
He received a doctoral and post doctoral degrees in psychology in USSR. He is a visiting professor at University of Iowa and Columbia University.
He is president of Landamatics International, a management and education consulting firm. He has more than 100 publications.
• Algo-Heuristic Theory
Algo-Heurisctic model is a theory of instructional design developed in early 1950’s by Lev Landa.
Landa in his theory teaches general methods of high level thinking for any situation, independent of the context; as they will have similar general logical structure.
Using this method the individual can mentally handle them in the same way by employing the same general mental operations.
• Algo-Heuristic Theory
Landa believed that knowledge is made up of three elements:
Image – the mental picture.
Concept – the knowledge of the characteristics of an object.
Propositions – the relationships the object and it’s parts to other objects.
The learner is encouraged to learn either algorithmic or heuristic problem solving in a step by step process.
• Heuristic
Is a experience-based technique that helps in problem solving, learning and discovery.
A heuristic method is particularly used to rapidly come to a solution that is hoped to be close to the best possible answer, or &apos;optimal solution&apos;.
Example: “trial and error”
When Eluminate crashes in internet explorer, then try another provider like Mozilla or Google chrome.
• Algorithmic
Is a list of well-defined instructions for completing a task. Starting from an initial state, the instructions describe steps that will lead to a final ending state.
Example: How to find the median of a series of numbers.
• Heuristics
Algorithm
A specific rule or solution procedure that is guaranteed to provide the correct answer if correctly followed.
Heuristic
A rule of thumb
An informal strategy, works under some circumstances, but not guaranteed to yield the correct answer
Problem – Should we buy the house or rent ?
Lets do the math 
• Algorithm Example 1
Rent: 2Br + garage = \$1600/month
House: \$250,000 (3Br+garage)
20% down = \$50k
Loan = \$200k
Interest = 6%, or \$600 month for 30 years per \$100k
Mortgage = \$1200
Taxes & Insurance = \$300
Monthly cost = \$1500
\$1500 &lt; \$1600 (rent), so BUY
• Algorithm Example 2
Rent: 2Br + garage = \$1600/month
House: \$450,000 (3Br+garage)
20% down = \$90k
Ack! I only have \$50k!
Loan = \$400k
Interest = 6%, or \$600 month for 30 years per \$100k–
Mortgage = \$240
Taxes & Insurance = \$450 (+\$50 mort insurance)
Monthly cost = \$2850
\$2850 &gt; \$1600 (rent), so RENT
• The Heuristic part
Please write on whiteboard---what other considerations go into this decision?
Should we rely on the math ?
Personal thoughts, anything –
• Decision
So, do we buy or rent?
Why ?
• Comparison
Algo-Heuristics is a process of critical thinking or problem solving through facilitation the accurate course of action to achieve the objective.
The Gagne Instruction model is a theoretical practice for learners to gain information via introduction, understanding, review, application and evaluated performance.  This method will enable the learner to increase the ability to successfully achieve the designed objective.
• References
Cook, M. H. (1980). Page four… ’algorithmization—a shortcut to learning’ (part 2). Training & Development Journal, 34(6), 4. Retrieved from http://search.ebscohost.com.proxy.consortiumlibrary.org/login.aspx?direct=true&db=aph&AN=9069496&lite=ehost-live