About the Department
The Department of Computer Science and Engineering (Artificial Intelligence and Machine Learning) is established in the Year 2022 with an Intake of 60. The Department aims to produce students with a solid foundation in the concepts of AI & ML as well as advanced areas like Deep Learning, Natural Language Processing, Computer Vision, etc. Throughout the Programme, students will compete their skills in various events like Hackathons, coding contests, others technical & automations competitions. The objective is to meet the pressing demands of the nation in the areas of Artificial Intelligence and Machine Learning.
Vision
The department of CSE fosters a conducive ambience to meet the global standards by equipping the students with modern techniques in the area of Computer Science and relevant research to address the societal needs.
Mission
- To provide positive working environment that would help the students perform to their highest abilities in various fields of computer science.
- To enable students and faculty with the best of technologies and knowledge emerging in the domain of Computer Science and Engineering.
- To establish nationally and internationally recognized research centers and expose the students to broad research experience.
- PEO1: Graduates will be able to demonstrate technical skills and proficiency in modern Intelligent computing practices.
- PEO2: Graduates will be able to navigate scientific and societal modernization through technological innovation and entrepreneurship in the Computational Intelligence. PEO3: Graduates will be able to equip productively in the field of Artificial Intelligence Engineering through strong technical communication and Entrepreneurship skills.
- PO1: Engineering knowledge: Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization to the solution of complex engineering problems.
- PO2: Problem analysis: Identify, formulate, review research literature, and analyze complex engineering problems reaching substantiated conclusions using first principles of mathematics, natural sciences, and engineering sciences.
- PO3: Design/development of solutions: Design solutions for complex engineering problems and design system components or processes that meet the specified needs with appropriate consideration for the public health and safety, and the cultural, societal, and environmental considerations.
- PO4: Conduct investigations of complex problems: Use research-based knowledge and research methods including design of experiments, analysis and interpretation of data, and synthesis of the information to provide valid conclusions.
- PO5: Modern tool usage: Create, select, and apply appropriate techniques, resources, and modern engineering and lT tools including prediction and modelling to complex engineering activities with an understanding of the limitations.
- PO6: The engineer and society: Apply reasoning informed by the contextual knowledge to assess societal, health, safety, legal and cultural issues and the consequent responsibilities relevant to the professional engineering practice.
- PO7: Environment and sustainability: Understand the impact of the profession engineering solutions in societal and environmental contexts, and demonstrate the knowledge of, and need for sustainable development.
- PO8: Ethics: Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice.
- PO9: Individual and team work: Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings.
- PO10: Communication: Communicate effectively on complex engineering activities with the engineering community and with society at large, such as, being able to comprehend and write effective reports and design documentation, make effective presentations, and give and receive clear instructions.
- PO11: Project management and finance: Demonstrate knowledge and understanding of the engineering and management principles and apply these to one’s own work, as a member and leader in a team, to manage projects and in multidisciplinary environments.
- PO12: Life-long learning: Recognize the need for, and have the preparation and ability to engage in independent and life-long learning in the broadest context of technological change.
- PSO1: Apply principles and concepts of Artificial Intelligence and Machine Learning models to build Expert systems.
- PSO2: Develop computational skills and techniques to solve real-time problems in the field of Deep Learning, Natural Language Processing and Intelligent Automation.
