Welcome to the Electrical & Electronics Engineering (EEE) Department
It is our proud privilege and a matter of great joy to extend a warm welcome to the Electrical & Electronics Engineering (EEE) Department.
Established during the 2011-2012 academic session with an initial intake of 60 students, the EEE Department aims to provide quality professional education to students nationwide, with a special focus on the Karnataka region. We offer a four-year (8-semester) B.E. Programme under Visvesvaraya Technological University (VTU).
Our department boasts excellent infrastructure, a highly talented teaching faculty, and a dedicated Training and Placement Cell, ensuring a bright future for our students. We are confident that our students will emerge as assets not only to this institution and the organizations they join but also to the country at large.
Credentials of the Department:
The EEE department at DSATM encompasses a wide range of traditional and disruptive technologies in core and IT fields, including Smart Grid, Advanced Meter Infrastructure (AMI), EV-Battery Management Systems, Microgrids, Distributed Energy Resources (DERs), Better Battery Technologies, Cybersecurity in the Power Industry, Blockchain Technology in the Energy Market, IoT/IIoT, and Automation. The flexibility and heterogeneity of the EEE program at DSATM equip students with special personal skills, making them successful engineers and entrepreneurs.
To impart quality education and to develop a supportive and collaborative learning environment to meet the challenges by innovation and integration, consequently reflecting effective progress of our students in making a real difference in their profession and society.
PSO 1: Mathematical Informatics Section: To clarify the process of intelligent activities based on rational reasoning by human beings and to create new methods of problem-solving by implementation with computers.
PSO 2: Architecture Section: To establish the techniques for designing hardware and software systems necessary for the development of the next-generation of intelligent information processing systems.
PSO 3: Application Section: To apply the developed techniques to address challenging problems in various real-life applications from biomedical signal and image analysis, systems biology, climate to social and communication networks.
