Artificial Intelligence and Machine Learning

Programme Outcomes (POs)

Engineering Students will be able to be:

1. Engineering Knowledge: Apply the knowledge of Mathematics, Science, Engineering fundamentals, and an engineering specialization to the solution of complex engineering problems.
2. Problem analysis: Identify, formulate, review research literature, and analyze complex Engineering problems reaching substantiated conclusions using first principles of mathematics, natural sciences, and Engineering sciences.
3. 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.
4. 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.
5. Modern tool usage: Create, select, and apply appropriate techniques, resources, and modern engineering and IT tools including prediction and modeling to complex Engineering activities with an understanding of the limitations.
6. 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.
7. Environment and sustainability: Understand the impact of the professional Engineering solutions in societal and environmental contexts, and demonstrate the knowledge of, and the need for sustainable developments.
8. Ethics: Apply ethical principles and commit to professional ethics and responsibilities and norms of the Engineering practice.
9. Individual and team work: Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings.
10. 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.
11. 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 multi-disciplinary environments.
12. 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.

Programme Educational Objectives (PEOs)

PEO-1: To equip graduates to with a foundational understanding of programming, mathematical modelling, artificial intelligence, and machine learning.

PEO-2: To equip graduates with the necessary skill sets and enable them to take up innovative Projects in the field of Artificial Intelligence & Machine Learning

PEO-3: To facilitate an appropriate environment to bring out the talents, creativity and innovation among students to contribute to the society.

Programme Specific Objectives (PSO’s)

PSO1:Graduates should be able to apply mathematical methodologies to solve computational task, model real world problem using appropriate AI and ML algorithms.

PSO2: Graduates should be able to comprehend, assess, and create computer programs in the fields of algorithms, web design, artificial intelligence, machine learning, deep learning, data science, and networking for the effective design of computer-based systems of various complexities

PSO3: Graduates should be able to develop a desire for higher education, to create unique career paths to be an entrepreneur, and to mature as an ethically socially responsible AI and ML professional.