The Department of CSE - Artificial Intelligence & Machine Learning at Sai Vidya Institute of Technology is committed to excellence in education, research, and innovation. With a strong foundation in AI, data science, deep learning, and intelligent systems, the department nurtures future-ready engineers equipped to meet the evolving demands of technology and industry.
Through hands-on learning, research-driven projects, and active industry collaborations, the department provides an environment that blends creativity with technical expertise. Proudly, the 2021 batch students secured four university ranks at the VTU level, reflecting our dedication to academic quality and student success.
By combining academic rigor with practical learning, the department continues to create an ecosystem where knowledge meets creativity, empowering future engineers to design intelligent solutions that make a meaningful impact on society.
VisionTo develop competent and socially responsible engineers in the domain of Artificial Intelligence & Machine Learning to architect Strong India and the world. Mission
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To prepare graduates who are able to : |
| PEO1 : Analyze, Develop and Apply Innovative ideas to solve real-world problems using Artificial Intelligence and Machine Learning techniques. |
| PEO2 : Pursue higher studies, Graduates will have the ability to contribute novel and scientific research-oriented methods in the Artificial Intelligence and Machine Learning area. |
| PEO3 : Excellence in Entrepreneurial Skills, professionalism, moral and ethical conduct, understanding of social context, and strong communication skills to meet the industry's expectations. |
| 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 to 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 & 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) |
| WK1. A systematic, theory-based understanding of the natural sciences applicable to the discipline and awareness of relevant social sciences. |
| WK2. Conceptually-based mathematics, numerical analysis, data analysis, statistics and formal aspects of computer and information science to support detailed analysis and modelling applicable to the discipline. |
| WK3. A systematic, theory-based formulation of engineering fundamentals required in the engineering discipline. |
| WK4. Engineering specialist knowledge that provides theoretical frameworks and bodies of knowledge for the accepted practice areas in the engineering discipline; much is at the forefront of the discipline. |
| WK5. Knowledge, including efficient resource use, environmental impacts, whole-life cost, re-use of resources, net zero carbon, and similar concepts, that supports engineering design and operations in a practice area. |
| WK6. Knowledge of engineering practice (technology) in the practice areas in the engineering discipline. |
| WK7. Knowledge of the role of engineering in society and identified issues in engineering practice in the discipline, such as the professional responsibility of an engineer to public safety and sustainable development. |
| WK8. Engagement with selected knowledge in the current research literature of the discipline, awareness of the power of critical thinking and creative approaches to evaluate emerging issues. |
| WK9. Ethics, inclusive behavior and conduct. Knowledge of professional ethics, responsibilities, and norms of engineering practice. Awareness of the need for diversity by reason of ethnicity, gender, age, physical ability etc. with mutual understanding and respect, and of inclusive attitudes. |
Graduates will be able to : |