Artificial Intelligence and Data Science
Coding is today's language of creativity
Ignite your passion for technology and embark on a journey of innovation and
discovery with our cutting-edge Artificial Intelligence and Data Science
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. Artificial Intelligence and Data Science 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.
To emerge with technological excellence to nurture talents and instigate research skills with social responsibilities in the domain of Data Science.
MISSION
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
PEO1
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.
PEO2
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.
PEO3
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, 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 reaching 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 the 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 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, 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.
PROGRAM SPECIFIC OUTCOME
PSO1
Addressing societal problems through design and development of software and firmware solutions using latest Computer Science tools and technologies.
PSO2
Involving students enthusiastically in software development, software testing, storage, computing and business intelligence sectors.
PSO3
Making them to use their technical expertise in latest technologies and update knowledge continuously in Artificial Intelligence and Data Science to excel in career.
Career Opportunity
Artificial Intelligence and Data Science is a professional engineering Under-Graduate degree course, the duration lasting for four years. During the past few years, AI and Data Science have emerged as one of the most high-grown, dynamic and lucrative careers in technology. The Bachelor of Technology in Artificial Intelligence and Data Science is a skill-oriented course and is mostly based on practical and application-based research.
laboratories are fully equipped with systems and latest software with an environment to implement and experiment knowledge acquired in the classroom.
Academic achievement matters a lot to students’ lives as it plays a huge part in shaping responsible individuals. Students must stay focused to learn valuable knowledge for better academic results. Indian parents are rigorous and particular about their children’s grades, they make sure students priorities academics more than any unnecessary distractions.
Work Experience: 21 Years
Area of specialization: Fuzzy Neural Networks, Machine Learning, Artificial Intelligence, Soft Computing
Work Experience: 21 Years 8 Months
Area of specialization: Network Security
Work Experience: 1 Year
Area of specialization: DBMS, Computer Network, Operating System.
Work Experience: 9 yrs 10 months
Area of specialization: Network Security, Data Science
Work Experience: 6 yrs 3 months
Area of specialization: Image Processing
Work Experience: 2 Years 11 Months
Area of specialization: Data structures.
Work Experience: 1 Years 10 Months
Area of specialization: DBMS, Computer Network
Work Experience: 18 years 8 Months
Area of specialization: Image processing
INTAKE
Programme of Study
Under Graduate Course B.Tech. Artificial Intelligence & Data Science
Description
Started with 60 seats in 2021
Intake increased from 60 to 120 in 2022
