Program Outcomes (POS)
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. (WK8)
Program Specific Outcomes (PSOs)
CSE (Artificial intelligence & Machine Learning)
PSO1: Apply a range of AI and ML techniques to analyze and solve real-world problems effectively.
PSO2: Design and develop AI systems by integrating appropriate algorithms, models, and technologies to address specific problem domains.
PSO3: Develop the ethical implications and societal impact of AI and ML technologies.
Department : CSE(Data Science)
PSO1: Apply Data Science Techniques, statistical analysis, machine learning algorithms, data visualization, and data manipulation effectively to solve complex data problems.
PSO2: Demonstrate proficiency in conducting data collection, preprocessing, analysis, and interpretation, contributing to the advancement of the field.
PSO3: Able to independently carry out research and investigation to solve societal problems.
Department: CSE(Cyber Security)
PSO1: Apply a range of Cyber Security techniques and measures to protect digital systems effectively and mitigate security risks.
PSO2: Demonstrate to conduct research in the field of Cyber Security, contributing to the development of new knowledge, algorithms, and approaches for enhanced security.
PSO3: Analyze and develop proficiency in the areas of network security, cyberlaws and ethics.
Program Educational Objectives (PEOs):
Dept: CSE(Artificial Intelligence & Machine Learning)
PEO1: Graduates possess a strong knowledge of Artificial Intelligence and Machine Learning principles, enabling them to effectively address real-world challenges.
PEO2: Graduates continuously enhance their skills and adapt to the evolving field of AI and ML, empowering them to confidently face future challenges.
PEO3: Graduates apply their AI and ML knowledge to develop practical applications that positively impact society and address societal challenges.
Department : CSE(Data Science)
PEO1: Graduates be proficient in applying advanced analytics techniques to solve complex data challenges.
PEO2: Graduates contribute to the advancement of the field through the development of innovative methodologies, algorithms, and models.
PEO3: Graduates utilize data science principles to create meaningful societal impact. They will prioritize ethical considerations in data usage and develop solutions that address societal challenges, and benefit individuals and communities.
Department : CSE(Cyber Security)
PEO1: Graduates will apply the necessary skills and knowledge to become Cyber Security professionals capable of addressing current security challenges effectively.
PEO2: Graduates are able to develop a research-oriented mind set and the ability to contribute to the field of Cyber Security through innovative approaches and solutions.
PEO3: Graduates possess the skills to solve security issues efficiently and adapt to changing circumstances, ensuring the resilience and protection of digital systems.
