About Department
The Department of Industrial IoT was established in 2021, which is well-equipped with state-of-the-art infrastructure, experienced & well qualified staff.
Salient features of Department
- 100 + faculty Publications in International/National Journal & Conferences.
- Well developed departmental library.
- Innovations by the faculty in teaching and learning process.
- Well equipped Laboratories with computers of latest configuration and software.
- Smart Classrooms.
- Hardware and firmware in line with the current trends for development of projects in varied domains like, IoT, Robotics and networking.
- MOUs with various companies to help in bridging the gap between institution and industry.
- Encouragement to appear for GATE, CAT, GRE and other competitive examinations..
- Nurturing extra-curricular skills of students to get recognized at state, national and inter-national levels.
Curriculum
- Choice Based Credit System (CBCS)
- Open electives
- Promotion of MOOCs
- Partial delivery of course by Industry experts
- Exposure to the industry standard tools
- Mandatory internship during summer/ winter vacations
Career Prospects
There is large employment potential for Industrial IoT graduates in numerous sectors like Software Industries, IT Enabled Service firms, Research Sector and Communication industry. Apart from IT Industries IIoT graduates are offered employment in Manufacturing Industry, Logistics Industry, Oil and gas Industry, Transportation Industry, Energy/utility Industry, Mining and metals Industry, Aviation Industry,healthcare, automotive, and agriculture industries etc
Industry Institute Interaction
The Department has good industry interaction with industries, Government organization and Private Sectors around the region. The Memorandum of Understanding is signed for Student Projects, Faculty Trainings, and Research work.
The industry offers training in recent trend and technology. The guest lectures are organized by department by inviting industry experts in the emerging area
Future Scope:
The principal idea behind Industrial IoT is to make machines smarter and more efficient than human counterparts by constantly collecting, analyzing, and acting upon data. IIoT is defined as “machines, computers and people enabling intelligent industrial operations using advanced data analytics for transformational business outcomes”. The IIoT in this sense can be considered a movement towards ‘smart machines’ whereby the accuracy levels of the operations involved in the respective systems are heightened to a level that cannot be achieved through human interventions.
With companies now developing cutting-edge sensory technologies to capture data, the retrieved data can be coupled with real-time predictive analytics, artificial intelligence and machine learning to get a better understanding of how machines and production lines are performing.Basically, AI and ML programs are combined with IoT devices to give them proper automation. Due to this, IoT has also expanded its area of application in most of the sectors.
Industry Institute Interaction
The Department has good industry interaction with industries, Government organization and Private Sectors around the region. The Memorandum of Understanding is signed for Student Projects, Faculty Trainings, and Research work. The industry offers training in recent trend and technology. The guest lectures are organized by department by inviting industry experts in the emerging area
Future Scope:
The principal idea behind Industrial IoT is to make machines smarter and more efficient than human counterparts by constantly collecting, analyzing, and acting upon data. IIoT is defined as “machines, computers and people enabling intelligent industrial operations using advanced data analytics for transformational business outcomes”. The IIoT in this sense can be considered a movement towards ‘smart machines’ whereby the accuracy levels of the operations involved in the respective systems are heightened to a level that cannot be achieved through human interventions.With companies now developing cutting-edge sensory technologies to capture data, the retrieved data can be coupled with real-time predictive analytics, artificial intelligence and machine learning to get a better understanding of how machines and production lines are performing.Basically, AI and ML programs are combined with IoT devices to give them proper automation. Due to this, IoT has also expanded its area of application in most of the sectors.