Vision & Mission: AIDS
Vision
To harness the power of AI and data science to drive innovation, solve complex problems, and create transformative solutions that benefit society and industry.
Mission
M1:
Drive Innovation: Foster a culture of innovation and experimentation, encouraging the development of new AI and data science solutions.
M2:
Solve Complex Problems: Apply AI and data science to solve complex problems in various domains, such as healthcare, finance, and education.
M3:
Create transformative solutions: Apply AI and data science solutions that transform industries, improve lives, and drive societal impact
PEOs
Graduates from our program will:
PEO 1: Graduates will demonstrate technical expertise in AI and data science, including machine learning, deep learning, natural language processing, and data analytics.
PEO 2: Graduates will be able to collect, analyze, and interpret large datasets to inform decision-making and drive business outcomes.
PEO 3: Graduates will understand the ethical implications of AI and data science solutions and be able to design and deploy solutions that are transparent, explainable, and fair.
PEO 4: Graduates will be able to identify opportunities for innovation and entrepreneurship in AI and data science, and develop solutions that drive business value and societal impact.
Program Outcomes (PO) The students in the AIDS Engineering course will attain:
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 the 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 for complex problems.
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 need for sustainable development.
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 multidisciplinary environments.
12. Life-long Learning: Recognize the need for, and have the preparation and ability to engage in independent and lifelong learning in the broadest context of technological change.