Programme Educational Objectives
Graduates of the Artificial Intelligence and Machine Learning program will gain a comprehensive understanding of the principles and applications of computer science, mathematics, and science, equipping them to effectively address a diverse array of computing-related challenges.
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Collaborate effectively across interdisciplinary fields by leveraging knowledge of Artificial Intelligence and Machine Learning to develop practical solutions for real-world challenges.
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Succeed in professional careers while actively pursuing advanced studies in Machine Learning and Artificial Intelligence.
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Commit to lifelong learning, using their expertise to facilitate technological transformation.
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As socially responsible engineers or entrepreneurs, maintaining high moral and ethical standards in their endeavours.
Programme Specific Outcomes
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Demonstrate the ability to evaluate and apply knowledge of data engineering, artificial intelligence, machine learning, and human cognition to address real-world issues and solve emerging challenges.
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Acquire computational knowledge and project development skills by utilizing innovative tools and methodologies to tackle challenges in the realms of Deep Learning, Machine Learning, and Artificial Intelligence.
PO1: 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.
PO2: Problem Analysis: Identify, formulate, review research literature and analyze complex engineering problems reaching substantiated conclusions with consideration for sustainable development. (WK1 to WK4)
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. (WK5)
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. (WK8).
PO5: Modern 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)
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. (WK1, WK5, and WK7).
PO7: Ethics: Apply ethical principles and commit to professional ethics, human values, diversity and inclusion; adhere to national & international laws. (WK9)
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. (WK8)
