Engineering knowledge: To apply the knowledge of Machine learning algorithms to observe large volumes of unstructured data including text, photos and videos.

Ethics: To apply various computational thinking algorithms and commit to professional ethics and responsibilities for creating wireless technology to control things.

Individual and Team: To function effectively as an individual, and as a member or leader in diverse teams, and multidisciplinary settings.

Modern tool usage: To Create, select and apply appropriate techniques, resources, and modern engineering and IOT tools including prediction and modeling to complex engineering activities with an understanding of the possibilities and limitation of accessing things.

Innovative: Accelerate scientific and societal advancement through technological innovation and entrepreneurship.

Inspiring and Collaborative: To become a leader and a responsible citizen whose strengths come from an ability to draw on and contribute to diverse teams, expertise, and experiences.

Broadly Educated and Versatile: Able to draw upon foundational knowledge, learn, adapt and successfully bring to bear analytical and computational approaches to contemporary and technological challenges.

Cultural and Global Awareness: Admits the applicability of computing and evaluate its impact on individuals, organizations, and global society.

Problem Solving: Identify problems and formulate solutions for systems and organizations while redefining conflicting objectives and finding compromises.

Technical Expertise: Apply knowledge of computing and machine learning logics within technical domains.

Professional Practice: Evaluate and use appropriate methods and professional standards in computing practice.

Practical knowledge: Practical knowledge, which is an important part of technical education, can be achieved by a well-equipped Ultra-Modern Computer Laboratory. The Computer Laboratory is a basic component of the Institute’s infrastructure, providing a wide range of support to the students and faculties involved in research and other academic activities. The Laboratories provides the hands-on need of today’s industry requirements and what they learn in the classrooms. Our curriculum includes a wide variety of subjects to enhance the practical knowledge of the students, which are listed below:

• Sensor tech
• Deep Learning algorithms
• Design and analysis of algorithm
• IOT Architecture
• Advanced Computer networks
• Cryptography
• Operating system
• Machine Learning Algorithms
• Embedded systems
• Web technology
• Cloud Computing
• Big data analysis
• Artificial intelligent Laboratory