Vision
To lead in AI and Machine Learning education, promoting innovation through research, industry partnerships, and ethical practices to meet society and changing needs.
Mission
M1: To provide high-quality education equipping students with the skills to excel in the field of Artificial Intelligence and Machine Learning.
M2: To provide industry exposure through internships, projects, and partnerships, ensuring students gain practical experience and stay updated on industry trends.
M3: To cultivate technical proficiency, critical thinking, collaboration, and entrepreneurial spirit among students, fostering a culture of innovation and problem- solving.
M4: To nurture ethical values, social responsibility, and awareness of societal challenges, nurturing students committed to positive contributions to society.
Program Outcomes (PO’s)
1. Basic and Discipline specific knowledge: Apply knowledge of basic mathematics, science and engineering fundamentals and engineering specialization to solve the engineering problems.
2. Problem analysis: Identify and analyse well-defined engineering problems using codified standard methods.
3. Design/ development of solutions: Design solutions for well-defined technical problems and assist with the design of systems components or processes to meet specified needs.
4. Engineering Tools, Experimentation and Testing: Apply modern engineering tools and appropriate technique to conduct standard tests and measurements.
5. Engineering practices for society, sustainability and environment: Apply appropriate technology in context of society, sustainability, environment and ethical practices.
6. Project Management: Use engineering management principles individually, as a team member or a leader to manage projects and effectively communicate about well-defined engineering activities.
7. Life-long learning: Ability to analyse individual needs and engage in updating in the context of technological changes.
Program Educational Objectives (PEO's)
PEO 1: The students will socially responsible to creates environment friendly AI solutions for real-time problems adapting professional ethics.
PEO 2: The students will practice AI framework and technologies in multidisciplinary work environments.
PEO 3: The student will be able to work individually and as a team by communicating effectively in their area of work.
Program Specific Outcomes (PSO's)
PSO 1: Apply the principal concepts of AI Engineering to design, develop, deploy and prototype AI
Subsystems.
PSO 2: Apply the knowledge gained pertaining to data storage, data analytics and AI concepts to
solve real world business problems.
PSO 3: Apply, analyse, design, develop, and test principles of AI concepts on Intelligent Systems.