Padeepz E-Learning Materials

Padeepz E-Learning Materials GE8151 Problem Solving and Python Programming

Padeepz E-Learning Materials GE8151 Problem Solving and Python Programming

Padeepz E-Learning Materials GE8151 Problem Solving and Python Programming we have provided the sample materials in this page.  If you like the sample and want to buy the full subject the procedure is also provided in this page.


             Algorithm is plan for solving problem. There are many ways to write algorithms

some are very informal, some are quite formal, and mathematical in nature, some are

 in quite graphical. The form is not particularly important as long it provides the good

 way to describe and check the logic plan.

  The algorithm development process consists of major steps.

           Step 1:  Obtain a description of the problem

           Step 2:   Analyse the problem

           Step 3:   Develop high level Algorithm

           Step 4:  Redefine the algorithm by adding more details.

           Step 5:  Review the algorithm.


                  The problem should be explained, so that it’s easy for the developer to find the solution for the problem. The problem description suffers from one or more types.

           *  The description relies on unstated assumptions

           *  The description is unambigious

           *  The description is incomplete

           *  The description has internal contradictions.


           * The purpose of this step is to determine both starting and ending points for solving the problem. When determining the starting point, start with the following Questions.

         *  What data are available?

         *  Where is the data?

         * What formula are related to the problem?

         *  What rules are needed for the data?

         * What relationships are exists among the data values?

         * When determining the ending point, the characteristics of a solution is described.

          * What new fact will arrive?

          * What items will change?

          * What things will no longer exists?


          An algorithm is plan for solving the problem. It’s usually better to start with high level algorithm that includes the major part of the solution, but sometimes more details can be added later.

   An example is given to demonstrate high level algorithm.

        Problem Statement: I  Need to make a tea.

                            Analysis: I don’t have Milk.

        High level algorithm:

                  * Go to stores that sells milk.                                

                  * Purchase milk and come home

                  * Prepare tea.

 Though this algorithm seems to be satisfactory, it lacks many details.

         * Which store I need to visit?

         * Which Milk product I need to buy?

         * How I goes to the stores: Walk, drive, ride my two wheeler, take the bus.


               A high level algorithm shows the major steps that need to be followed to

solve a problem. Our goals is to develop algorithms that leads to the computer


              In simple examples moving from high level to detailed algorithm is done

in a single step but this is not always reasonable. For larger, more complex

problems, it is common to go through several times. Each time, more details

are added to the previous algorithm. This technique of gradually working

from high level languages to a detailed algorithm is often called as step wise



             The final step is to review the algorithm. Check the algorithm step by

step to determine whether it will solve the original problem or not.

          * Does the algorithm solve a very specific problem or does it solve more

 general problem.

      * if it solves a very specific problem, should it be generalized.

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