About the Department
AI has progressed rapidly over the last few years, but it is still nowhere near matching the vast dimensions of human intelligence. Data science is much more than just simple machine learning. Artificial Intelligence and Data Science Programme teaches with the skills to perform intelligent data analysis which is used in a variety of real-world applications. Data science is not just related to the statistical aspect of the process, but it feeds the process and derives benefits from it through data engineering. Data engineers and data scientists have a huge role to play in propelling AI forward. Latest technology is pleased to have made use of enhanced AI and data science algorithms that make sure to provide users with content deemed relevant for them.
AI and DS envisions to create industry ready graduates with Strong fundamental learning, skills to practice in multiple programming language environments such as Python and Java, state-of-the-art Machine Learning (ML) and Deep Learning (DL) frameworks. The course helps students to investigate cutting-edge technologies such as Big Data, Neural Networks, and Deep Learning. Integration of Industry 4.0 in the curriculum ensures that the students explore and capitalise on the enormous potential of emerging technologies such as artificial intelligence, Data Science, Robotics, Cloud computing, Machine Learning Algorithms, and Robotics process automation of business processes across industry.
Artificial Intelligence & Data Science covers the core principles of Data Science, the process of ethically acquiring, engineering, analyzing, visualizing data.This course aims to teach not only core technologies like artificial intelligence, data mining, and data modelling, but also advanced topics like machine learning and big data analytics. Students can learn cross-disciplinary skills as a result of this course. The main goal of this programme is to train students to become industry ready and knowledgeable, to pursue careers as data analysts, data scientists, capable of solving major problems in the fields of machine learning, statistics, information discovery, and visualisation skills.
Why AI & DS @ KCE?
- Established in 2020 and offers B.Tech (AI and DS)
- AI driven technology E-Box platform for TLP
- Highly Qualified faculty members
- State of art laboratory facilities
- Industry collaborated R&D Labs
- Many technical Clubs such as Computational intelligence club, Smart Club, Coding Club
- GATE focused training
Benefits
- Hands on Project Experience.
- Machine Learning , Data Science – Hands on Skill Training
- Placement in product based companies
- Placement in Service based companies
- Opportunities in Government Sector
Vision
To produce graduates who can achieve excellence in Artificial Intelligence and Data Science Engineering by developing products through innovation and research.
Mission
M1 To impart high quality education with strong fundamentals by continuously evolving teaching and learning methodologies by using cutting-edge technology.
M2 To provide a knowledge centre of Artificial Intelligence and Data Science with a never-ending desire to learn through the growth, maintenance, innovation of computing, and continuous improvement of Data Science.
M3 To equip students with interdisciplinary skill sets to meet the new advancement in high performance computing provides dynamic and promising careers in emerging technologies and research endeavours.
Program Educational Objectives(PEOs)
PEO 1: The graduates shall exhibit exemplary fundamental knowledge in basic engineering to analyse and solve problems in the field of computer science and engineering
PEO 2: To make the graduates technically sound in order to help them to adapt to emerging technological changes.
PEO 3: To demonstrate professional capabilities and motivation for sustain life long career.
Programme Outcomes (POs)
- Engineering knowledge: Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization to the solution of complex engineering problems.
- Problem analysis: Identify, formulate, research literature, and analyze complex engineering problems reaching substantiated conclusions using 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 the public health and safety, and the 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 the 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, responsibilities, and norms of the engineering practice.
- Individual and teamwork: Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings.
- Communication: Communicate effectively on complex engineering activities with the 21 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 Specific Outcome (PSOs)
Graduates should be able to
PSO 1: Use data design techniques and data science algorithms to provide solutions to the problems in the field of data science
PSO 2: Solve problems in the fields of artificial intelligence, big data, and cloud computing, using standard AI techniques
Faculty Details
| Name of Faculty | Designation | Area of Expertise | Faculty Profile |
|---|---|---|---|
| Dr. M. RAJESH BABU | PROF. | Machine Learning and Image Processing | Click here to View |
| Dr. AYYAVOO MITHILA | ASSO. PROF | Data Analytics | Click here to View |
| Mrs. M.KAVITHA | ASST.PROF. | Artificial Intelligence, Machine Learning and Data Science | Click here to View |
| Mrs. C. EYAMINI | ASST.PROF. | Data Science, Cryptography and Network Security | Click here to View |
| Mrs. P. SANGEETHA | ASST.PROF. | Data Science | Click here to View |
| Mrs. N. KIRUBA | ASST.PROF. | Virtual Reality | Click here to View |
| Mrs. R. AKILESHWARI | ASST.PROF. | Machine Learning | Click here to View |
| Mr. G. SURESH KUMAR | ASST.PROF. | Computer Networks | |
| Mrs. J. SHIVABHUVANESHWARI | ASST.PROF. | Cloud Computing |
Highlights of the Department
- AI driven technology E-Box platform for TLP
- Highly Qualified faculty members
- State of art laboratory facilities
- Industry collaborated R&D Labs
Lab Facilities
Data Structures Lab
laboratory is spatial and well equipped with the latest systems. It provides a wide approach in C programming and enables to apply knowledge in Data structures. Guidance’s are provided to the students by a team of faculty experts and lab programmer. The labs are kept open after the college hours to enable the students to engage themselves in getting practiced with Laboratory experiments in their leisure hours. The lab is used to train the students to improve their programming knowledge and make experiments to get familiar with the Core Courses.
Association with reputed companies / industries
- Avatar Academy
- Zengage Technologies
- Effitrac Solutions India Private Ltd
- A2B2 IT Services.
- Mazenet Solutions
- Globas smart Technologies
- Toon Explainers
- Sylix Pro technologies
- iExemplar Software India Private Ltd
Offers Value Added Programs and certification courses
- Data Science
- Artificial Intelligence
- Machine Learning
- Programming in python
- Programming in c
HOD’S Message
B.Tech in Artificial Intelligence is an undergraduate programme with advanced learning solutions imparting knowledge of advanced innovations like machine learning, often called deep learning and artificial intelligence. Data science is transforming business, industry, government, social interaction and research. Department of Artificial intelligence and Data Science endeavors to provide best professional opportunities to our students and look forward to their bright future.