Program Educational Objective’s (PEO’s)

PEO1: Graduates of the program will have the ability to understand, analyse, and design Artificial Intelligence and Machine Learning solutions to real-world challenges.

PEO2: Graduates of this program will have the ability to get employed and excel in their professional careers and research to achieve higher goals.

PEO3: Graduates of the program will excel as socially committed engineers with high ethical and moral values.

Program Outcomes

Engineering Graduates will be able to:

• Engineering knowledge: Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization to the solution of complex engineering problems.
• Problem analysis: Identify, formulate, review research literature, and analyse complex engineering problems reaching substantiated conclusions using first principles of mathematics, natural sciences, and engineering sciences.
• Design/development of solutions: Design solutions for complex engineering problems and design system components or processes that meet the specified needs with appropriate consideration for the public health and safety, and the cultural, societal, and environmental considerations.
• Conduct investigations of complex problems: Use research-based knowledge and research methods including design of experiments, analysis and interpretation of data, and synthesis of the information to provide valid conclusions.
• Modern tool usage: Create, select, and apply appropriate techniques, resources, and modern engineering and IT tools including prediction and modelling to complex engineering activities with an understanding of the limitations.
• The engineer and society: Apply reasoning informed by the contextual knowledge to assess societal, health, safety, legal and cultural issues and the consequent responsibilities relevant to the professional engineering practice.
• Environment and sustainability: Understand the impact of the professional engineering solutions in societal and environmental contexts, and demonstrate the knowledge of, and need for sustainable development.
• Ethics: Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice.
• Individual and team work: Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings.
• Communication: Communicate effectively on complex engineering activities with the engineering community and with society at large, such as, being able to comprehend and write effective reports and design documentation, make effective presentations, and give and receive clear instructions.
• Project management and finance: Demonstrate knowledge and understanding of the engineering and management principles and apply these to one’s own work, as a member and leader in a team, to manage projects and in multidisciplinary environments.
• Life-long learning: Recognize the need for, and have the preparation and ability to engage in independent and life-long learning in the broadest context of technological change.

Program Specific Outcomes

PSO1: An ability to apply concepts of Artificial Intelligence and Machine Learning to design, develop, and implement solutions to solve technical problems.

PSO2: An ability to use Artificial Intelligence and Machine Learning knowledge for a successful career as an employee and an engineering professional.

Short term Goals

• Enhanced Curriculum: Continuously update and enhance the curriculum to include the latest trends and advancements in AI and ML technologies.
• Research Initiatives: Increase the number of research projects and collaborations with industry partners to solve real-world problems using AI and ML.
• Skill Development: Offer workshops, seminars, and training sessions to develop practical skills and hands-on experience in AI and ML for students and faculty.
• Industry Partnerships: Establish new partnerships with leading tech companies to provide internship and job opportunities for students.
• Student Competitions: Encourage and support students to participate in national and international AI and ML competitions and hackathons.

Long term Goals

• Centre of Excellence: Establish the department as a centre of excellence in AI and ML research and education, recognized both nationally and internationally.
• Innovative Research: Foster ground-breaking research that leads to significant advancements in AI and ML, contributing to academic and industrial innovation.
• Global Collaborations: Build global partnerships with top universities and research institutions to collaborate on cutting-edge AI and ML projects.
• Alumni Network: Develop a strong alumni network that actively contributes to the department’s growth through mentorship, funding, and collaboration.
• Social Impact: Leverage AI and ML technologies to address and solve critical societal issues, such as healthcare, education, and environmental sustainability.