Three motivations for theoretical computer science

If you are taking a short course in computer science, you would find it troubling differentiating between theoretical computer science and practical computer science. While, there are certain areas of CS that requires motivations or justifications—it should be easy to comprehend that why certain motivations for theoretical computer science exist in the first place.

Computer science is a rather complex field of study, and its derivative disciplines are often amalgamated with each other.

The following three motivations for theoretical computer science are given as below:


Utilizing algorithms accurately and efficiently can enable an organization to generate more revenue or create an improved product. For instance, there have been examples where the implementation of specific tasks retorted to fault tolerance, which led to an improved performance of cloud storage in Microsoft, which helped a company save a substantial amount.


It is no surprise that theoretical computer science is introduced as a source of problems that pertains to mathematical structures that is focused on the older CS theorized concepts. The reasoning behind this logic is that mathematical theorems and mathematical applications are a derivative for computer science. These two concepts are rather interchangeable and inseparable, and there are certain factors and variables involved that are fixated on creating elements and applications for both motivational factors.


The theoretical use of computer science concept has been varyingly used for studying and estimating societal behavior and performance. There are certain variables that are taken into account for establishing a relationship between two independent variables and one dependent variable that is then operationalized using a standardized approach.