This course introduces students of all engineering disciplines to the concepts
and practices of sustainable development, emphasizing environmentally
responsible engineering design and operation. It aims to develop awareness,
critical understanding, and innovation for applying green technologies that
minimize resource consumption, reduce pollution, and promote circular
economy approaches. The course empowers engineers to integrate
sustainability principles in diverse fields such as manufacturing,
infrastructure, computing, food systems, and communication technologies.
- Teacher: Shweta Patil
In this course of students will learn basics of personal financial planning and
management.
- Teacher: Shweta Patil
This course deals with the study of PLC architecture, ladder diagram and
programming.
- Teacher: Pradip Bhaskar
- Teacher: Shweta Patil
The Internet of Things (loT) course explores the interconnected world of
smart devices, enabling students to grasp the fundamentals of IoT
architecture, protocols, and applications. Through hands-on projects, students
develop skills in device integration and data management. The course equips
learners with a comprehensive understanding of loT's transformative
potential, preparing them to navigate the evolving landscape of connected
technologies and contribute to the advancement of the digital era.
- Teacher: Shweta Patil
Mobile communication is the backbone of today’s smartphones, IoT, 4G/5G
networks and wireless data services. This course builds strong fundamentals in
cellular concepts, radio propagation and wireless technologies while introducing
modern mobile systems.
- Teacher: Shweta Patil
- Teacher: Uday Patil
Digital Image Processing deals with the analysis and processing of digitized
images. Image processing has two major objectives: the first is to enhance
image quality for better visual interpretation by humans, and the second is to
extract meaningful information from images for machine-based analysis and
decision support. This course introduces fundamental image processing
techniques and algorithms used for improving visual quality and interpreting
image content. The curriculum also provides an introduction to image
segmentation and object representation methods, which form the basis for
advanced image analysis and computer vision applications. Overall, the
course builds a strong foundation for practical and research-oriented
applications in image processing.
- Teacher: Amar Dum
- Teacher: Shweta Patil
