About CSE (AI&ML) Department
The Department of Computer Science and Engineering (CSE – AI&ML) was established in the year 2020 with the aim of providing inclusive technology education to students from all over India and the world and thereby creating responsible citizens who would contribute to the betterment of their families, society and nation.
The vision of CSE department is to emerge as a world class technology department through education, innovation and collaborative research.
The department has progressed with a vision and a strong commitment to developing competent programmers with uncompromising standard of excellence in the training, both class room sessions and hands on sessions, given to students.
The department has well equipped computing laboratories and a rich repository of software covering a wide spectrum of applications.
VISION
To achieve global standards of quality in technical educationwith the help of advanced resources and automated tools to bridge the gap between industry and academia.
MISSION
• Build the students technically competent on global arena through effective teaching learning process and world-class infrastructure.
• Inculcate professional ethics, societal concerns, technical skills and life-long learning to succeed in multidisciplinary fields.
• Establish competency centre in the field of Artificial Intelligence and Machine Learning with the collaboration of industry and innovative research.
Program Educational Objectives (PEOs)
The graduates of Computer Science and Engineering with Specialization in Artificial Intelligence &Machine Learning will be able to :
PEO 1. Domain Knowledge : Impart strong foundation in basic sciences, Mathematics , engineering and emerging areas by Advanced tools and Technologies.
PEO 2. Professional Employment : Develop Professional skills that prepare them for immediate employment in industry, government, entrepreneurship and Research.
PEO 3. Higher Degrees : Pursue higher studies and acquire masters and research.
PEO 4. Engineering Citizenship : Communicate and work effectively, engage in team work, achieve professional advancement, exhibit leadership skills, and ethical attitude with a sense of social responsibility.
PEO 5. Life Long Learning : Lead in their field and respond to the challenges of an ever-changing environment with the most current knowledge and technology.
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)
Knowledge and Attitude Profile (WK)
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.
Program Specific Outcomes (PSOs)
The graduates of Computer Science and Engineering with Specialization in Artificial Intelligence &Machine Learning will be able to :
| PSO1 | Understand and Apply Multi-Disciplinary and core concepts with emerging technologies for sustaining (endorse) with the Dynamic Industry Challenges. |
| PSO2 | Design Automated Applications in Machine Learning, Deep Learning,Natural Language Processing and Relevant Emerging areas for visualizing, interpreting the datasets. |
| PSO3 | Develop Computational Knowledge, project and Interpersonal skills using innovative tools for finding an elucidated solution of the real world problems and societal needs. |
