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- The department of Electronics and Computer Science is initiated in the academic year 2020-21 and is floated to cope up with 4th Industrial revolution.
- Being an integration of two core branches of Electronics and Computer Science, the ECS graduates are capable of designing smart systems & smart apps using the technology like IoT, Data Science and Data Analytics, Machine learning which are intelligent to perceive and respond through sensors, processors, controllers.
- To be a part of industry 4.0 technological revolution , department provides all the facilities in the form of resources and expertise to the students to work on live projects in the field of AI, Genome Editing, Augmented Reality, Robotics, Internet of Things, and 3-D printing as the fourth technological revolution can make exponential changes to the way we live, work and relate to at least one another thanks to the adoption of cyber-physical systems, Internet of Things and Internet of Systems.
- This revolution is predicted to impact all disciplines, industries, and economies. Fourth industrial revolution could create employment market that’s segregated into “low-skill/low-pay” and “high-skill/high-pay” segments. This revolution is predicted to impact all disciplines, industries, and economies.
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IoT Data Analytics and Visualization
Entering 2024, there’s much to be excited about regarding the new and emerging technologies shaping our future.
- For IoT-generated data to reach its full potential, data analytics and visualization are crucial. The IoT’s rapid expansion has greatly increased the enormous amount of data that IoT devices generate in a variety of industries, including healthcare, energy, transportation, smart cities, and others.
With the use of data analytics, you may manage and assess vast amounts of data in order to get in-depth knowledge and make quick judgments.
You can also utilize more sophisticated analytics approaches, such as machine learning and predictive modeling, to find patterns, identify anomalies, and derive relevant business information from IoT data.
There are several advanced tools for data analytics and visualization.
These are crucial because they give businesses the ability to evaluate and make sense of the enormous volume of data that IoT devices generate. These IoT technology trends are useful for a variety of purposes, including converting unprocessed Internet of Things data into a format that is better suited for analysis.
They also offer a means of visually and intuitively representing the data that has been evaluated.
Advanced analytics tools also make it possible to apply a variety of analytical methods to IoT data in order to extract insightful information.
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