Digital Computer and Control Engineering

Digital Computer and Control Engineering is a discipline concerned with the design, analysis, and implementation of digital computer systems and control systems. Digital Computer and Control Engineering includes the acquisition, processing and storage of information, as well as its transmission and interpretation.

The department of Digital Computer and Control Engineering has been in the forefront of education and research in the field of Electrical Engineering. The department offers undergraduate degrees in Electrical Engineering, Digital Computer and Control Engineering, Electronics & Communication Engineering, Power Electronics & Drives. The department offers graduate degree programs leading to Master’s Degrees in Digital Computer and Control Engineering, Electronics & Communication Engineering along with Doctoral Degree Programs in Electrical Engineering.

Digital computer and control engineering focuses on the design, modeling, and analysis of systems that are used for the automatic control of processes. Digital computers, controllers, and actuators are all utilized in order to implement the desired control strategies.

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About Digital Computer and Control Engineering

Why is one of the most important pieces of a digital computer and control engineering program also one of the easiest to overlook?

At some point, you will have to write code. And while it may not be a big deal if you’re writing code just to get a small project done, it is a big deal if the project you’re working on will be used by large companies around the world.

That’s right: you will be writing code for clients like Google and Microsoft, which means that your code needs to meet their standards—which is why we’re here today.

We are going to show you how to write better code.

Computer programs are now a primary way that humans interface with their electronic devices. The computational power of even a basic desktop computer is enough to run complex programs, and the computing power of phones and tablets has grown to rival that of desktops only a few years ago.

But what does this have to do with control theory?

The answer is: everything!

Machine learning algorithms allow for complex control programs to be created in ways that were never before possible, simply because we didn’t have the computing power. Add in distributed computing, and suddenly we can create highly realistic simulations of entire machines and systems, allowing us to test new theories in ways never before possible.

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