CSE (Artificial Intelligence)

Vision

• To build an ecosystem to contribute to society by producing leaders in Artificial Intelligence through education and research.

Mission

• Train the students in the state-of-the-art technologies of AI.
• Sensitize students to solve societal issues through AI techniques by inculcating values and ethics.
• Enhance employability and entrepreneurial skills in the field of AI through experiential and self-directed learning.
• Foster research aptitude among the students through project-based learning.

Programme Outcomes

1. PO1. Engineering Knowledge: Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization to the solution of complex engineering problems.
2. 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.
3. 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.
4. 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.
5. PO5. Modern tool usage: Create, select, and apply appropriate techniques, resources, and modern engineering and IT tools including prediction and modeling to complex engineering activities with an understanding of the limitations.
6. PO6. The engineer and society: Apply reasoning informed by the contextual knowledge to assess health, safety, legal and cultural issues and the consequent responsibilities relevant to the engineering practice.
7. PO7. Environment and sustainability: Understand the impact of the professional engineering solutions in societal and environmental contexts, and demonstrate the knowledge of and need for sustainable development.
8. PO8. Ethics: Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice.
9. PO9. Individual and team work: Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings.
10. PO10. Communication: Communicate effectively on complex engineering activities with the engineering community and with society at large.
11. 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.
12. 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.

Programme Educational Objectives

1. PEO1. Graduate shall have knowledge in applied and basic engineering sciences to understand engineering principles which is necessary to formulate and solve problems related to Artificial Intelligence.
2. PEO2. Graduate shall have knowledge in experimentation, analysis and synthesis of Artificial Intelligence courses to Design/Innovate and create novel products/Solutions to real life problems.
3. PEO3. Graduate shall have Managerial and entrepreneur skills, ethical and professional attitude in multidisciplinary approach to meet the needs of industry and society.
4. PEO4. Graduate shall go for further studies, research, lifelong learning to adopt oneself in the phase of changing technologies to ensure the students to success in engineering position globally.

Programme Specific Outcomes

1. PSO1. Domain Knowledge: The Artificial Intelligence graduates will able to identify and analyze end user needs and take them into account in the selection, creation, evaluation and administration of AI solutions.
2. PSO2. Process Management: An ability to organize an AI infrastructure by managing, monitoring the resources and safeguard the data.

All labs are having Uninterruptible Power Supply with solar system which ensure unhampered working of computers. Each laboratory maintains entry register detailing the usage of individual machine by students with entry and exit time. Each laboratory maintains stock register which particularization of entry of new computer peripherals. Also each lab having printer utilization register which records the employment of individual printers. One Teaching faculty and a Lab instructor will be incharge of the overall functioning/maintenance of each lab.

Laboratories

Additional Facilities

• Department library
• Department seminar hall
• Tutorial class rooms
• Class Rooms with LCD & internet

Infrastructure Images

DIGITAL CLASSROOMS

SEMINAR HALL

GD ROOM

DEPARTMENT LIBRARY

Access the complete syllabus documents for different academic regulations.

Access the complete records of workshops, seminars, and guest lectures conducted by the department.

Access the complete records of add-on courses conducted by the department.

BATCH: 2020-24

Access the complete records of internships undertaken by students.