Vision & Mission

Vision

To create an efficient system for imparting professional education in Artificial Intelligence and Data Science employing innovative teaching and learning processes to develop solutions for the benefit of industry and society.

• M1: To Impart quality value based technical education and produce technology professionals with innovative thoughts and strong leadership skills.
• M2: To inculcate rational thinking among students for design and development of cutting-edge products by engaging with industry stakeholders to fulfil the global demands and standards.
• M3: To strengthen the core competencies in the domain of Artificial Intelligence and Data Science.
• M4: To enable the graduates to adapt to the evolving technologies through strong fundamentals and applications for lifelong learning.

• PSO1: To design and develop Artificial Intelligence technology into innovative products for solving real world problems.
• PSO2: To design and develop Data Science methods for analyzing massive datasets to extract insights by applying AI as a tool.

Programme Outcomes (POs)

• 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 reach in 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 IT tools including prediction and modeling to complex engineering activities with an understanding of the limitations.
• PO6.The engineer and society: Apply reasoning informed by 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 professional 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 teamwork: 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

Programme Educational Objectives (PEOs)

• PEO1: Building next generation technocrats with professional knowledge and skills in Artificial intelligence (AI) and Data Science (DS) for creating innovative solutions to satisfy needs and challenges of the society.
• PEO2: Creating engineers to solve the existing challenges in managing and analyzing massive data for building software systems with Artificial Intelligence related applications.
• PEO3: Producing efficient professionals with strong ethics, moral values, good interpersonal skills, team spirit and leadership qualities for lifelong learning.
• PEO4: Ensuring graduates are employed in top notch industries, possess entrepreneur skills, or focus on higher studies.

Infrastructure & Facilities

Computing Infrastructure at AI& DS Lab

High end servers with advanced operating systems like Windows and Ubuntu are used. The workstations are installed with recent software used for building Artificial Intelligence applications and executing massive data sets. The students are trained to get a wide exposure with in depth knowledge and skills in programming languages like for C, C++ programming, Java, python for Machine learning Deep Learning Programs, R, Ruby, Rust, Go Programming, Kotlin etc.

Departmental Committees

Board of Studies (BOS):

Board of examiners (BOE):

Department Undergraduate Committee (DUGC):

Programme Advisory Committee (PAC):