Computer science did not have a sudden birth in the engineering domain. It became a necessity of time. During the last quarter of the 20th century, scientists realized that the advances in Computer Science could take engineering Sciences to a new level. It was then that we integrated Computer Science as a full-fledged branch of engineering science. Hardly did we know that this particular branch would become one of the most popular branches in engineering in the coming times.
With the onset of the 21st century, the importance of computer science became even more important. Various disciplines not only connected themselves to computer science but also borrowed specializations from this branch.
A large number of institutions were developed that provided training exclusively in Computer Science. Different types of colleges also sprouted to cater to the requirements of computer science engineering. The top CS colleges in Ghaziabad reaffirmed their position with the enormous increase in students that choose Computer Science as a career.
In the last two decades of the 21st century, computer science has not only reformed but it has also evolved as a discipline. Let’s take a look at different technologies that have made computer science the most popular branch of engineering.
The rise of AI
Artificial intelligence has completely transformed the face of computer science engineering. It has steered this science in a direction which was never thought of before. Artificial intelligence has provided the fuel for making computer science engineering the most disruptive branch of engineering science.
Artificial intelligence is not just an interface over which computer science engineering has evolved. It is in fact a process that has led to the making of various other disciplines. The beauty of artificial intelligence is that it connects with numerous sectors and businesses so as to make them both profitable and technically advanced in nature. Ranging from decision science to human computer interaction, computer science has transformed business intelligence in general and business management in particular. It has also brought a revolution in the telecommunication sector.
The sectors like education, healthcare, logistics, manufacturing, retail and e-commerce are now borrowing from computer science engineering in general and artificial intelligence in particular.
The domination of Machine learning
Machine learning has transformed computer science engineering in a way similar to artificial intelligence. In fact, machine learning and artificial intelligence are two sides of the same coin. The difference is that the scope of artificial intelligence is much more vast as compared to machine learning.
Machine learning concerns itself with supervised learning, unsupervised learning, semi-supervised learning, reinforcement learning and deep learning technologies. It also deals with classification and clustering techniques that are used in various business processes. It also deals with linear regression and logistic regression techniques that find application in predictive analytics.
A new world on the cloud
When we say that we have established a new world over the cloud, we are referring to the advancements that we have made in cloud computing. Cloud computing is a process that does away with the physical need of having computational infrastructure. It allows businesses to use software as a service, platform as a service and infrastructure as a service to meet their business requirements and technological goals.
In the present times, we are also looking at data as a service so as to transform business orientation in general and business intelligence in particular. Data as a service would not only help in effective decision making but would also aid in predictive and prescriptive analytics.
The language of data science
It is popularly said that the next generation would speak the language of data. To take the augment further, business intelligence, business operations and business management would depend on data mining in general and data analytics in particular.
Needless to mention, data science would not only command the growth of businesses but would also determine the return on investment.
Data science has been popularly referred to as the future of computer science engineering. It is in this context that data processing, data mining, data cleansing and data analytics are gaining prominence. All these come under the vast umbrella of data science. All these sub branches have the potential of developing into full fledged streams, within the broader discipline of data science, and the parent branch of computer science engineering.
The way ahead
The technological growth that we are witnessing in the present time is testimony to the fact that computer science as a branch will need to evolve and develop interdisciplinarity. This interdisciplinarity with business intelligence and other economic sciences would lead to the broader development and evolution of computer science engineering.
