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Why study of algorithms are still very important in computing

Algorithms is the mother of computing science(If Mathematics is the father!!). The very first concept of computing was the algorithm on which depended the first simple operations and all that followed.
             Yes, it was algorithms which preceded all the fancy big and small systems and electronics that has enabled us to visualize  all the fascinating results it yields according to it. 
Derived from the name of Al Khwarizmi, the great mathematician who invented algebra, it lays down the basic step of realizing the solution to any problem being dealt. One great thing about it is that it involves all the mathematical details of the problem and gives a worthy information about its speed and space complexity. And hence, it provides a summative look on how the problem is going to be solved and all its estimates for the operation.
A great thing one might want to know is that "Good algorithms are better than  Supercomputers".
 It may seem rather dubious but the fact is it holds true. Over the last 5 decades many new techniques and theories have been playing around, like we have better than ever memory chips and processors, yet, a good algorithm can make a turnaround and make a simple PC do what a supercomputer can do. So its a thing of millions of dollars and work hours a good algorithm can reduce and make it happen. A simple example, the Quicksort can do sorting in an instant for a billion counts in a PC of what it would take years with Selection sort in a Supercomputer.
This is the beauty of a good algorithm and the miracle it can cause.

And again we may say that "Good algorithms are better than bad algorithms". This is obvious to follow as it changes a lot from all the space and  time complexity from one algorithms which has quadratic complexity to the one with logarithmic complexity. 

Study of good algorithms is very essential in computing sciences. It affects the design of efficient code which is a must ingredient for any good application. 

 
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