Computer Science and Engineering (ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING)

To produce ethically responsible and skilled AI and ML professionals who design intelligent systems that solve real-world problems and drive meaningful change in society and industry.

M1 Provide a strong academic foundation in computing and AI/ML through structured, hands-on, and interdisciplinary learning.

M2 Develop analytical and problem-solving skills by engaging students in the design of intelligent systems using contemporary tools and techniques.

M3 Promote ethical values, academic excellence, and a culture of lifelong learning to prepare students for advanced study, research, and professional success.

The following Programme Educational Objectives are designed based on the department Mission

PE01 Apply core computing and AI/ML knowledge to design intelligent solutions for real-world problems across domains.

PE02 Adapt to emerging technologies and multidisciplinary environments with ethical responsibility and professionalism.

PE03 Pursue higher studies, research, or successful careers through continuous learning and innovation.

PO1 Engineering Knowledge: Apply knowledge of mathematics, natural science, computing, engineering fundamentals and an engineering specialization as specified to develop to the solution of complex engineering problems.

PO2 Problem Analysis: Identify, formulate, review research literature and analyze complex engineering problems reaching substantiated conclusions with consideration for sustainable development.

PO3 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.

PO4 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.

PO5 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.

PO6 The Engineer and The World: Analyze 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.

PO7 Ethics: Apply ethical principles and commit to professional ethics, human values, diversity and inclusion; adhere to national & international laws.

PO8 Individual and Collaborative Team work: Function effectively as an individual, and as a member or leader in diverse/multi-disciplinary teams.

PO9 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.

PO10 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.

PO11 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.