Zusammenfassung der Ressource
Logical and computational
Thinking
- Computational thinking is the process to solve problems
employing different techniques in a way that you can use
the computer to solve the problem
- Different techniques to use:
- Abstractions the process of eliminating what is
not necessary for find the solution
- Breaking Down: It refers to brake the problem into a
smaller pieces, and then the smaller problems are solved
maybe the bigger one can be solved too
- Simulation is another way to solve problems, with this
technique we can simulate the result for a problem,
before we try to do it
- Algorithm development consists on a
number of steps that we can replicate to
automate process
- Problem
- A problem is a situation that deserves actions togo
from undesired to an appropriate state in the
future
- The problems are applicable to
different areas such as
math,physics, sociology,
psychology,
- Techniques to solve problems
- Trial and error
- Abstraction
- Divide and conquer
- Development of algorithms
- Brainstorming
- Problems Solving have 4 main stages
- Collecting information: It is
necessary to investigate as
much as possible to
understand the problem.
- Solution creation:Use the most possible answers to have more
chances to solve the problem.For this strategy you can use trial and
error until the situation is solved.
- Solution Implementation: It starts
whit the decision making.
- Evaluation stage: Once the solution have been applied,
you must be if the goals have been reached
- Polya´s methodology
- Understand the problem: Know what are you trying,
search information, describe the problem with your own words
- Define or design a plan: Examine the problem and see what technique can be
used, try with chart,diagrams,equation, trial and error and find a sub-goal
- Carry out the plan: Implement the strategy that you deciden in the step 2.
- Look back: Check the results, look if your answer ir reasonable, determine if there are any other
way to find another answer