Department of Artificial Intelligence and Data Science

        The department of Artificial Intelligence and Data Science [AI&DS] is established in 2021. To provide hands on practice to enrich the confidence among the students to make themselves experts in the field of Artificial Intelligence and Data science with state-of-art laboratory facilities. The department offers Industry collaborative curriculum to assist students to work for international projects. To produce highly competent AI engineers, Data scientist and entrepreneurs to work in top reputed industries around the globe.

 Artificial Intelligence Lab

Data Science Lab

Machine learning Lab

Programme Educational Objectives (PEOs)

B.Tech. Artificial Intelligence and Data Science graduates will:

PEO1. Domain Knowledge: Possess diversified knowledge and expertise in the domain of Artificial Intelligence and Data Science.

PEO2.Problem solving skills and Ethics:Apply computing skills to identify the challenges and to develop creative ethical solutions

PEO3. Lifelong Learning and development:Involve in lifelong learning, research and development to fulfill social needs using latest technology.

Programme Outcomes (POs)

On successful completion of B.Tech. Artificial Intelligence and Data Science, graduating students/graduates will be able to:

PO 1. Engineering knowledge: Apply the knowledge of mathematics, science, engineering fundamentals, concepts of Artificial Intelligence and data science to solve complex engineering problems

PO 2. Problem analysis: Identify, review literature, formulate and analyze complex engineering problems using first principles of mathematics and engineering sciences.

PO 3. Design and Development of Solutions: Design and develop AI based solutions for complex engineering problems with societal and environmental awareness.

PO 4. Complex problem Investigation: Investigate complex problems by employing skills pertaining to knowledge acquisition, knowledge representation and knowledge engineering to arrive at valid conclusions.

PO 5. Modern Tool Usage:Evaluate and use Data analysis tools and AI based techniques for effective decision making in business and engineering domains.

PO 6. Societal contribution:Follow professional engineering practice by applying contextual knowledge to assess societal and legal issues .

PO 7. Environment and Sustainability:Understand and provide professional engineering solutions taking into consideration environmental and economic sustainability.

PO 8. Ethics:Follow ethical principles and norms in engineering practice.

PO 9. Individual and Team work:Function effectively as an individual, team member or leader in diversified environments.

PO 10. Communication:Communicate and present the actionable insights of data using reports through various modes for all professional activities.

PO 11.Project Management and Finance :Apply Engineering knowledge and management principles for effective project management in multi-disciplinary environments.

PO 12. Life-long Learning:Engage in independent life-long learning and skill development for professional and social well being.

Programme Specific Outcomes (PSOs)

PSO 1. Software Automation : Develop customized automation solutions for Engineering and business problems using intelligent techniques.

PSO 2. Data Engineering : Predict significant information and visualize large scale data using latest technologies.