About Department

Vision
To impart quality education, promote collaborative research and graduate industry-ready engineers in the domain of Artificial Intelligence and Data Science to serve the society.

Mission

Excel in Teaching-Learning process and collaborative Research by the use of modern infrastructure and innovative components.

Establish an Artificial Intelligence and Data Science based centre of excellence to prepare professional technocrats for solving interdisciplinary industry problems in various applications.

Artificial Intelligence and Data Science (AIDS) is the science and technology of manufacturing intelligent machines, especially intelligent computer programs. AIDS is an interdisciplinary field of science, engineering and technology that creates a complete ecosystem and is widely used in almost all areas of technical industry, academia and research. Artificial Intelligence and Data Science are the future of technology, which is changing the world very quickly. The main objective of this course is to train students in the next era of machine-generated intelligence and analytics that will affect people's lives to improve efficiency and empower people, influencing consumer products, achieving significant breakthroughs in healthcare, manufacturing, finance and retail.

Department of Artificial Intelligence and Data Science started A.Y. 2021-22 with an intake capacity of 60 and it had extended to 90 in the A.Y 2023-24. The aims and objective of the branch is to develop a basic understanding of problem solving, knowledge representation, reasoning and learning methods of Artificial Intelligence. This course enables students to develop their skills in performing intelligent data analysis, which is a key part of an emerging career in data science in IT. Most artificial intelligence involves machine learning, which teaches computer systems to understand and imitate human behaviour by looking for patterns in data. Machine learning is the link that connects data science and artificial intelligence. Artificial intelligence is a tool that helps data scientists get results and solutions to specific problems. The department focuses on the research, design and development of new generation cutting-edge technologies in the field of artificial intelligence and data Analytics.

The Institute has well-equipped laboratories in the Department of Artificial Intelligence and Data Science. Well-structured classrooms and well-configured computer systems are provided for students to conduct laboratory experiments. The department is spread with highly qualified and experienced faculty members with areas of specialization who guide students for academic success.

Faculty

Faculty List for AY 2023-24

Vision & Mission

Vision

To impart quality education, promote collaborative research and graduate industry-ready engineers in the domain of Artificial Intelligence and Data Science to serve the society.

Mission

• Excel in Teaching-Learning process and collaborative Research by the use of modern infrastructure and innovative components.
• Establish an Artificial Intelligence and Data Science based centre of excellence to prepare professional technocrats for solving interdisciplinary industry problems in various applications.

Program Educational Objectives (PEOs)

After successful completion of the degree, the students will be able to

PEO1: Graduate will solve real-time problems using analytical skills acquired in the field of Artificial Intelligence and Data Science.

PEO2: Graduates will innovate and adapt new technologies of AI & DS in their chosen field of profession.

Course Outcomes

Programme Specific Outcomes

PSO1: Graduates should be able to create AI-based processes that work well in specific domains, like business and government, to help them make good decisions.

PSO2: Graduates should be able to create, choose, and use the theoretical knowledge of AI and Data Analytics as well as practical industrial tools and techniques to manage and solve wicked societal problems.

Program Outcomes (POs)

Engineering Graduates will be able to:

PO 1: Engineering knowledge: Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization to the solution of complex engineering problems.

PO 2: Problem analysis: Identify, formulate, review research literature, and analyse complex engineering problems reaching substantiated conclusions using first principles of mathematics, natural sciences, and engineering sciences.

PO 3: 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.

PO 4: 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.

PO 5: 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.

PO 6: 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.

PO 7: 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.

PO 8: Ethics: Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice.

PO 9: Individual and team work: Function effectively as an individual, and as a member or leader in diverse teams, and in multi disciplinary settings.

PO 10: 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

PO 11: 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.

PO 12: Life-long learning:  recognize the need for, and have the preparation and ability to engage in independent and lifelong learning in the broader context of technological change

Department Activities

Activities for the Academic year 2015-16
The Department of Commerce believes not only in Academic standards but also in imparting the relevant skills to prepare students for employment opportunities, entrepreneurial abilities and vocational skills. In this direction, VGDC organised two Certificate Courses titled as “Vocational Skill Building on SELLING SKILLS” and “Vocational Skill Building programme on Office Administration” in collaboration with the ICICI Academy for skills for a period of 3 months during January,2016 to March, 2016. In this skill development programme, 44 students of B.Com were trained by honing their skills.


Activities for the Academic year 2016-17



Certificate Course in Thread Jewellery (17th –21st January 2017



Orientation Programe usage of Smart Phones in learning communication skills

Course Outcomes:

Comming soon

Syllabus

Syllabus JNTUK R20

Contact us

Head of the Department
Dr. N. Ch. Jaya Rao
Associate Professor
HOD, Department of AI & DS
Qualification: M. Tech, Ph.D
Cell: 8008207088
E-mail: cjr.nettem@gmail.com

Publications