About the Department
CSE (Artificial Intelligence & Machine Learning) is one of the top performing departments of the Institute and the most sought over branch by the students. This program is designed to provide students with the fundamentals of computer science along with emerging courses like Artificial Intelligence, Machine Learning and Deep learning. AI &ML students will learn about basic engineering techniques, which include Engineering Mathematics, Physics, Chemistry, Engineering Graphics and Programming for Problem Solving (C language)during First Year. In the second year, they are exposed to core computer science courses like data structures, Databases, Algorithms, Operating systems, Java, Python. In the third and final year, they will start learning emerging courses like Artificial Intelligence, Machine Learning, Soft computing, Natural Language processing, Deep Learning, Computer Vision, Cloud computing, Data Science, Social Network Analysis, NoSQL Data bases along with computer science courses. The Department adopted Outcome-Based Education (OBE) and has an adequate infrastructure with state-of-the-art laboratories and other supporting facilities to provide enhanced learning environment. The Department attracts the best of engineering aspirants from all over the country.
- B.Tech CSE(AI & ML) started in 2020 with the intake of 180 seats.
- B.Tech AI&ML started in 2021 with the intake of 60 seats
- Received 32 lakhs fund from Department of Science &Technology(DST), Govt. of India.
- MoU with Artificial Intelligence Medical and Engineering Researchers Society
- Centre of Excellence on AI & ML by Orbit Shifters
- Dedicated state of the art laboratories
- Digitally Equipped classrooms
- Well qualified and trained faculty in emerging areas.
The Department offers the following Courses
- CSE [Artificial Intelligence & Machine Learning] (Intake 180)
- Artificial Intelligence & Machine Learning (Intake 120)
To develop competent and socially responsible engineers in the domain of Artificial Intelligence & Machine Learning for noteworthy contributions to the society.
- To educate the students in fundamental principles of computing and develop the skills needed to solve practical problems using contemporary computer-based technologies.
- To provide State-of-the-art computing laboratory facilities to promote industry-institute interaction to enhance student’s practical knowledge.
- To Inculcate self-learning abilities, team spirit, and professional ethics among the students to serve society.
Program Educational Objectives (PEO) :
|Program Educational Objectives (PEO)
|Graduates will have the ability to Analyse, Develop and Apply Innovative ideas to solve real-world problems using Artificial Intelligence and Machine Learning techniques.
|To pursue higher studies, Graduates will have the ability to contribute novel and scientific research-oriented methods in the Artificial Intelligence and Machine Learning area.
|Practice the profession with ethics and make them responsible citizens to promote Industrial progress growth and societal transformation.
Program Outcomes (PO) :
|Program Outcomes (PO):
|Engineering Knowledge: Apply the knowledge of Mathematics, Science, Engineering fundamentals, and an engineering specialization to the solution of complex engineering problems.
|Problem Analysis: Identify, formulate, research literature, and analyze complex engineering problems reaching substantiated conclusions using first principles of Mathematics, Natural Sciences, and Engineering Sciences.
|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.
|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.
|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.
|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.
|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
|Ethics: Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice
|Individual and Team Work: Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings.
|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.
|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.
|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.
Program Specific Outcomes (PSO) :
|Program Specific Outcomes (PSO)
|Apply the fundamental knowledge for problem analysis and conduct investigations in computer science engineering for sustainable development.
|Design and development of solutions by using modern software for the purpose of execution of the projects in specialized areas.
|Inculcate effective communication and ethics for lifelong learning with social awareness