Artificial intelligence (AI) and Machine Learning are changing the world into smarter and intelligent. It empowers to innovate how to combine data, evaluate it, and apply the ensuing insights for better decision-making. The Smart world requires intelligent machines, software and applications with cutting-edge technologies.
Artificial Intelligence and Machine Learning
Artificial Intelligence uses machine learning, deep learning and other advance techniques to solve real world problems in combination with big data analytics, statistical computation and data visualization.
With the challenges in the current digital world AI & ML enables to Build and scale systems with trust and transparency to drive digital transformation, deliver personalized products and make more data-backed decisions.
It creeps into every sector which includes personal assistants, IT industries, healthcare industries, Banking systems, administration.
Become an AI and ML professional. Build an innovative Career
B. Tech in CSE (AI&ML) offered by the Computer Science and Engineering Department provides the innovative aspirants with a spectacular array of courses designed as whole learning experiences to support your journey to a new career with a foundation of Computer Science & Engg.
Graduates of B.Tech CSE -Artificial intelligence and Machine learning are required in plenty and their need is bound to increase with the advent of internet and networking. Thus, there is bound to be rapid growth in this field.
Our AI/Machine Learning Courses will propel your career towards a better opportunity with the most required expertise in the current arena of AI & ML.
“Just as electricity transformed almost everything 100 years ago, today I actually have a hard time thinking of an industry that I don’t think AI will transform in the next several years.”
– Andrew Ng, VP & Chief Scientist at Baidu
Vision and Mission
Vision
To impart knowledge with the latest technological advancement in the field of (ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING) and transform the learners into global contributors as Innovators, Entrepreneurs, and Researchers.
Mission
Department of Computer Science and Engineering-(ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING) is committed.
Higher Order Thinking: To impart strong fundamental concepts, analytical and problem solving ability to hone their professional skills.
Continuous learning: To create an excellent conducive atmosphere for student learning and continuous updation of their knowledge on technology.
Entrepreneurship: To imbibe the spirit of leadership skills to be an active entrepreneur in society with moral values.
Competency: To enhance the creativity in research and to develop the competency of the students in the Technological field.
Programme Educational Objectives(PEO)
Graduates of -(ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING) will
PEO1: Employability: Our Graduates shall be suitably employed in allied industries/services with professional competency and knowledge of modern tools.
PEO2: Higher Education: Our Graduates shall be capable to pursue higher studies/research in the field of engineering and management.
PEO3: Entrepreneurship: Our Graduates shall be prepared for a successful career by meeting ever increasing demands required by Computer Science and Engineering profession and enable them to become an entrepreneur.
PEO4: Ethical: Our Graduates cultivate professional and ethical attitudes with effective communication skills, team work and a multidisciplinary approach related to engineering issues.
Programme Outcomes (PO)
PO1: Engineering knowledge: Apply knowledge of mathematics and science, with fundamentals of Engineering and Technology to be able to solve complex engineering problems related to Computer Science and Engineering.
PO2: Problem analysis: Identify, Formulate, review research literature and analyze complex engineering problems related to CSE and reaching substantiated conclusions using first principles of mathematics, natural sciences and engineering sciences.
PO3: Design/development of solutions: Design solutions for complex engineering problems related to CSE 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 computer science related 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 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 able to comprehend and with 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 management principles and apply these to one’s own work, as a member and leader in a team, to manage projects and in multi-disciplinary 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 (PSO)
PSO1: Foundation of mathematical concepts: Ability to apply the fundamental principles of mathematics in the field of computer science and engineering to provide optimal solutions.
PSO2: Foundation of Software and Business Technology: To design, test, and evaluate software in order to meet the requirements of end users and provide cutting-edge technologies for devising cost-effective solutions.
Faculty List
| SL.NO. | Name of the Faculty Member | Qualification | Designation | Area of Specialization | Date of Joining |
| 1 | Mrs. K. ANUPRIYA | M.E., | Assistant Professor | Computer Science and Engineering | 11-11-2022 |
| 2 | Mrs. S.K SUGUNEDHAM | M.E, | Assistant Professor | Computer Science and Engineering | 22-02-2023 |
| 3 | Mrs.S.CHITRA | M.Tech., | Assistant Professor | Computer Science and Engineering | 07-06-2023 |
| 4 | Mr.A.JAINULLABDEEN | M.E, | Assistant Professor | Information and Communication Engineering | 15-06-2023 |
| 5 | Ms. V. NIRAIMATHI | M.Tech | Assistant Professor | Data Science | 18-01-2024 |
| 6 | Ms. K. REVATHI | M.Tech | Assistant Professor | Data Science | 18-03-2024 |
Why AI and ML Programme
Artificial Intelligence & Machine learning degree provides a technical deep-dive into the area of AI. The programme aims to produce AI developers with a highly relevant skillset in AI topics. As a student, you will learn how to use and develop intelligent computer systems that can learn from experience, recognise patterns in vast amounts of data and reason strategically in complex decision making situations.
Opportunities in AI and ML
Programme Curriculum
MAJOR AI and ML CAMPUS RECRUITERS
Courses Offered
| S.No | Course | Specialization | Duration |
| 1 | B.Tech | Artificial intelligence and Machine Learning | 4 Years |