SRM TRP Engineering College
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Department of Computer Science and Engineering (CSE) started in the year 2010 to meet the requirements of the emerging IT industries. The department has well equipped computing laboratories, a rich repository of software covering, and a wide spectrum of applications. The strength of the department is the well qualified and experienced faculty members who aim at delivering top class education to improve and enhance the knowledge of the students. The department has a strong commitment for...


To develop AI and Machine Learning professionals for intelligent technologies contributing to societal and industrial transformation.

Programme Outcomes, Programme Specific Outcomes, and Programme Educational Objectives
The graduates of Artificial Intelligence and Machine Learning will achieve the following milestones:
PEO1: Apply Artificial Intelligence and Machine Learning principles to develop intelligent solutions for real-world challenges.
PEO2: Utilize modern AI technologies and analytical techniques for innovation and technology-driven problem solving.
PEO3: Demonstrate ethical practices, leadership qualities, and collaborative skills in professional environments.
PEO4: Pursue successful careers, research, entrepreneurship, and higher education in emerging intelligent technologies.
PEO5: Engage in lifelong learning and continuous skill enhancement for adapting to technological advancements.
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: 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)
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.
Students of Artificial Intelligence and Machine Learning will develop professional competency to:
PSO1: Develop intelligent systems using Machine Learning, Deep Learning, Generative AI, and intelligent automation techniques for solving real-world engineering problems.
PSO2: Apply modern AI frameworks, edge intelligence, explainable AI, and responsible AI principles for building scalable and trustworthy intelligent solutions.
Download important course documents and resources
Access the official regulation documents that outline the academic framework, course structure, evaluation criteria, and compliance requirements for this program.
State-of-the-art facilities for hands-on learning.
SRM TRP Engineering College
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