AI & DS
The Department is affiliated to Anna University, Chennai and approved by AICTE, New Delhi. The department was introduced as an emerging engineering discipline in the year 2020 – 21. This bachelor degree program is a top tier innovative program for disruptive individuals aspiring to change the world of technology. Artificial Intelligence is teaching a machine the ability to solve problems using complex algorithms which human beings solve using their natural intelligence. In short, Artificial Intelligence is engineering and science, which enables a machine or a computer to carry out tasks without much of human interaction.
VISION & MISSION
To build a conducive academic and research environment to produce competent Professionals to the dynamic needs of the emerging trends in the field of Artificial Intelligence and Data Science.
- Establish a unique learning environment and to enable the students to face the challenges in Artificial Intelligence and Data Science.
- Critique the role of information and analytics for a professional career, research activities and consultancy
- Produce competent engineers with professional ethics and life skills.
PROGRAM EDUCATIONAL OBJECTIVES (PEOS)
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.
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 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.
PROGRAMME SPECIFIC OUTCOMES (PSOS)
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: Graduates 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
Artificial Intelligence and Data Science Programme prepare students with the skills to perform intelligent data analysis which is a key component in numerous real-world applications. During the past ten years, data science has emerged as one of the most high-growth, dynamic, and lucrative careers in technology. This course aims at providing not only the core technologies such as artificial intelligence, data mining and data modelling but also gives intensive inputs in areas of machine learning and big data analytics. By this course, the students will gain cross- disciplinary skills across fields such as statistics, computer science, machine learning, and logic, data scientists and may have career opportunities in healthcare, business, eCommerce, social networking companies, climatology, biotechnology, genetics, and other important areas. The major focus of this programme is to equip students with statistical, mathematical reasoning, machine learning, knowledge discovery, and visualization skills.
- Problem Solving and Python Programming Lab
- Data Structures Design Lab
- Data Science Laboratory
- Object Oriented Programming Laboratory
- Database Design and Management Laboratory
- Data Analytics Laboratory
- Artificial Intelligence – I Laboratory
- Machine Learning Laboratory
- Mini Project on Data Sciences Pipeline
- Web Technology Laboratory
- Artificial Intelligence – II Laboratory
- Socially relevant Project
- Deep Learning Laboratory
- Mini Project on Analytics
- Project Work
- NPTEL Certification Courses
- Android App Development
- Certification on BigData
- Computer Hardware Troubleshooting
- IIT Bombay Spoken Tutorials
- MapReduce and YARN
- Cloud App Development
- Machine Learning with Python
- Web Application Development
- Machine Learning & Deep Learning Bootcamp
- Python for Data Science
Value Added Programmes
Academic Year 2022-23