To emerge with technological excellence to nurture talents and instigate research skills with social responsibilities in the domain of Data Science.
- Empower students with knowledge through experiential learning.
- To create a conducive ambience for learning through exposures in latest cutting-edge technology in collaboration with industries
- To provide individual attention and enable character building
- Instil lifelong learning and encourage entrepreneurial skills among students
Programme Educational Objectives
PEO 1:To provide graduates with the proficiency to utilize the fundamental knowledge of basic sciences, mathematics, Artificial Intelligence, data science and statistics to build systems that require management and analysis of large volume of data.
PEO 2: To enrich graduates with necessary technical skills to pursue pioneering research in the field of AI and Data Science and create disruptive and sustainable solutions for the welfare of ecosystems.
PEO 3:To enable graduates to think logically, pursue lifelong learning and collaborate with an ethical attitude in a multidisciplinary team.
PO1: Engineering knowledge:Apply the knowledge of mathematics, science, and basic engineering fundamentals to the solution of complex engineering problems
PO2: Problem analysis:Identify, formulate, review research literature and analyze complex Computer Science and Engineeringg problems reaching substantiated conclusions using principles of mathematics, natural sciences and engineering sciences.
PO3: Design/Development of solutions:Design solutions for the complex Computer Science and Engineering problems and design system components or processes that meet the specified needs with appropriate consideration for 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 IT 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 Computer Science and Engineering practices.
PO7: Environment and sustainability:Understand the impact of the professional engineering solutions in societal and environmental contexts and demonstrate the knowledge for sustainable development.
PO8: Ethics:Apply ethical principles and commit to professional ethics and responsibilities and norms of the professional Computer Science and Engineering practices.
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, and are 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 in multidisciplinary environment.
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 changes.
Programme Specific Outcomes
PSO1: Graduates should be able to evolve AI based efficient domain specific processes for effective decision making in several domains such as business and governance domains
PSO2: AGraduates should be able to arrive at actionable Fore sight, Insight, hind sight from data for solving business and engineering problems
PSO3: Graduates should be able to create, select and apply the theoretical knowledge of AI and Data Analytics along with practical industrial tools and techniques to manage and solve wicked societal problems
About the Department
The faculty of AI & DS is the soul of many engineering branches. This field is instrumental in bringing the world to where it is today. Computer Science & Engineering (CSE) course was started in our institution in the year 2022. Our department has dedicated, well-qualified and experienced faculty members who are specialists in the areas of Database, Data Mining, Computer Architecture, Operating Systems, Image Processing, Wireless Network, Artificial Neural Networks’, Information Security and Programming Languages. They actively involve themselves in research activities in the field of their specialization. They have published a number of papers in Journals and Conferences of National and International repute. The department attributes its success to the creative and innovative outlook of its students also. It encourages students to participate in numerous symposiums and to present papers in them. Students are also made to undergo in-plant training programs, where they hone their technical skill in the realm of computers. etc.
|Programme of Study||Description|
|Under Graduate Course
B.TECH. Artificial Intelligence & Data Science
|Started with 60 seats in 2021Intake increased from 60 to 120 in 2022|