Vision:

Developing competent, ethical, and innovative women leaders in AI & ML for societal development

Mission:

1. Provide quality education in AI & ML through experiential learning and advanced technologies.
2. Foster innovation, research, and industry engagement to solve real-world challenges.
3. Nurture ethical values, leadership qualities, and social responsibility among women professionals.

Program Educational Objectives (PEOs):

1. To Apply AI & ML knowledge and skills to develop innovative solutions for real-world problems.
2. To Pursue successful careers, higher studies, research, and entrepreneurship in AI & ML and allied domains.
3. To Demonstrate ethical values, leadership, and social responsibility in professional practice.
4. To Engage in lifelong learning to adapt to emerging technologies and industry needs.
5. To Exhibit effective communication, teamwork, and professional skills as competent women professionals.

Program Specific Outcomes (PSOs):

A graduate of the Artificial Intelligence & Machine Learning Program will demonstrate

1. An ability to apply the theoretical concepts and practical knowledge of Artificial Intelligence & Machine Learning in analysis, design, development and management of information processing systems and applications in the interdisciplinary domain.
2. An ability to analyse a problem, and identify and define the computing infrastructure and operations requirements appropriate to its solution. AI & ML graduates should be able to work on large-scale computing systems.
3. An understanding of professional, business and business processes, ethical, legal, security and social issues and responsibilities.
4. Practice communication and decision-making skills through the use of appropriate technology and be ready for professional responsibilities

Program Outcomes (POs):

Learners are expected to know and be able to

1. Engineering knowledge Engineering Knowledge: Apply knowledge of mathematics, natural science, computing, engineering fundamentals and an engineering specialization as specified in WK1 to WK4 respectively to develop to the solution of complex engineering problems.
2. Problem analysis Problem Analysis: Identify, formulate, review research literature and analyse complex engineering problems reaching substantiated conclusions with consideration for sustainable development. (WK1 to WK4)
3. Design / Development of Solutions Design/Development of Solutions: Design creative solutions for complex engineering problems and design/develop systems/components/processes to meet identified needs with consideration for the public health and safety, whole-life cost, net zero carbon, culture, society and environment as required. (WK5)
4. Conduct Investigations of Complex Problems Conduct investigations of complex engineering problems using research-based knowledge including design of experiments, modelling, analysis & interpretation of data to provide valid conclusions. (WK8).
5. Engineering Tool Usage Create, select and apply appropriate techniques, resources and modern engineering & IT tools, including prediction and modelling recognizing their limitations to solve complex engineering problems. (WK2 and WK6)
6. The Engineer and The World Analyse and evaluate societal and environmental aspects while solving complex engineering problems for its impact on sustainability with reference to economy, health, safety, legal framework, culture and environment. (WK1, WK5, and WK7).
7. Ethics Apply ethical principles and commit to professional ethics, human values, diversity and inclusion; adhere to national & international laws. (WK9)
8. Individual and Collaborative Team Work Function effectively as an individual, and as a member or leader in diverse/multi-disciplinary teams.
9. Communication Communicate effectively and inclusively within the engineering community and society at large, such as being able to comprehend and write effective reports and design documentation, make effective presentations considering cultural, language, and learning differences
10. Project Management and Finance Apply knowledge and understanding of engineering management principles and economic decision-making and apply these to one’s own work, as a member and leader in a team, and to manage projects and in multidisciplinary environments.
11. Life-Long Learning Recognize the need for, and have the preparation and ability for i) independent and life-long learning ii) adaptability to new and emerging technologies and iii) critical thinking in the broadest context of technological change. (WK8)

Syllabus

TimeTable