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About Department

The Department of Computer Science and Engineering-Artificial Intelligence was established in the year 2020 with an intake of 60 students.Artificial Intelligence (AI) is emerging as one of the most sought-after skills leading to lucrative careers in cutting edge AI technology. This course aims at providing not only the core technologies such as artificial intelligence, data mining and data modeling but also offers intensive inputs in areas of machine learning, deep learning and big data analytics taught by industry experts.

Building human-level thought process through the creation of artificial intelligence (AI) is the state-of-art in Computer Science. The students will graduate with important skills in Design Thinking, strategic planning and corporate connect in addition to the engineering skills. The course focuses on creating innovative methodologies to solve challenging real world problems using AI.

Vision & Mission

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

PO's, PEO's, PSO's

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 effectivelyon 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.
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 Spicific 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.

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Link Syllabus R23

Link Syllabus R20

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