SRCE > Artificial Intelligence and Data Science(B.Tech)
Artificial Intelligence and Data Science(B.Tech)
About the Department:
The Department of Artificial Intelligence and Data Science is an Educational milieu that creates a foreground for Students to acquire knowledge in futuristic areas like Artificial Intelligence, Machine Learning and Software Engineering. We strive to create Students ready for the Industry with the ability to develop and sustain Space-Age systems. The department was started in 2022.
The curriculum’s prime focus is to endorse learning through the key concepts of Acquire, Analyze, Design and Implement Oriented teaching will create the Students to Challenge, Innovate and Compete with assigned Capstone projects to solve real-world problems to make themselves Industry-ready Professionals and enable them to become a Future Entrepreneur.
About the Program:
B.Tech in Artificial Intelligence and Data Science are one of the many branches of Science, Engineering, and Technology. Engineering in Artificial Intelligence and Data Science is a Four year’s undergraduate course that deals with Core Technologies like Machine learning, Artificial Intelligence, Data warehouse, Data mining, Scripting language, Product development, and Mathematical modelling.
- This course also gives importance to areas like Big Data Analytics, Fuzzy Technologies, and Artificial Neural Networks. It helps Students in getting ready with skills to perform decisions that are based on Data Analysis.
- Through Artificial Intelligence and Data Science courses, Students will gain skills in areas like Statistics, Data Scientists, Machine Learning, Computer Science, and Logic.
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.
Arrive at actionable Foresight, Insight, and Hindsight from data for solving Business and Engineering problems.
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.
04Develop Data Analytics and Data Visualization Skills, skills pertaining to Knowledge Acquisition, Knowledge Representation and Knowledge Engineering, and hence be capable of coordinating Complex Projects.
Able to carry out fundamental research to cater for the critical needs of Society through cutting-edge Technologies of AI.
Artificial Intelligence includes jobs in Intelligence, Game Programmers, Robotic Scientists, Computer Scientists, and Data Scientists among others. Artificial Intelligence is, thus, a very popular course worldwide. It is beneficial to master at least one basic Machine Language in order to work in this field.
Engineering knowledge: Apply the knowledge of Mathematics, Science, Engineering fundamentals and Engineering Specialization to the solution of Complex Engineering problems.
Problem analysis: Identify, Formulate, Review Research Literature, and Analyze Complex Engineering problems reaching substantiated conclusions using the 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 Public Health and Safety, 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 modelling 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 Professional Engineering solutions in Societal and Environmental contexts, 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 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 Educational Objectives (PEOs)
- Utilize their Proficiencies in the Fundamental knowledge of basic Sciences, Mathematics, Artificial Intelligence, Data Science and Statistics to build systems that require Management and analysis of large volumes of Data.
- Advance their 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.
- Think logically, pursue lifelong learning and collaborate with an Ethical Attitude in a Multidisciplinary Team.
- Design and model AI-based solutions to critical problem Domains in the real World.
- Exhibit innovative thoughts and creative ideas for an effective contribution towards the economy building.
- Database Design and Management Laboratory
- Artificial Intelligence Laboratory
- Data Science and Analytics Laboratory
- Machine Learning Laboratory
- Deep Learning Laboratory
A highly qualified team of Faculty members and Research Expertise in the areas of Specialization are disseminated in the department to guide the Students to excel in their Academic.