About Us
B.Tech (Artificial Intelligence and Machine Learning) is a four year full time undergraduate programme started in the academic year 2021-22 with the skills to create real time applications of computer vision, generative-adversarial networks (GANs), distributed parallel computing with GPUs, and deployment of deep learning models on the cloud.
Artificial Intelligence, or AI, is a branch of computer science that emphasizes the creation of intelligent machines that behave like humans. The method of creating smart machines, also known as intelligent machines, is designed to assist in decision-making process, which is analyzed in detail using data available within an enterprise. It works in the same manner as humans do when synthesizing data and making reasonable decisions. However, in this situation, the decision is made after reviewing a large amount of data. Machine Learning is a part of artificial intelligence that allows computers to learn and develop on their own without being to be directly programmed. Machine Learning degrees educate the students on how to build self-learning computer systems by combining algorithms and statistical models. Since AI is completely changing the face of society, it is exciting to be a part of this revolutionary transition. Many people consider AI to be the skill of the century since its uses are endless.
Artificial Intelligence and Machine Learning is one of the emerging areas identified by AICTE and MHRD which can meet the upcoming requirements of the Industrial Revolution. With every company looking to introduce Artificial Intelligence in their domain, studying AI and Machine Learning opens up a world of opportunities to create cutting-edge technologies in diverse sectors, such as computer protection, image recognition, pharmacy, or face recognition. Propel your career towards a better job and salary with the most sought after expertise in the current landscape: Artificial Intelligence and Machine Learning.
Vision
To promote innovation-centric education to produce globally competent graduates to build a strong and developed nation.
Mission
To provide well-structured education through state of the art laboratories, dedicated faculty members and ethical values.
ï¶ To achieve academic excellence through innovative teaching and learning processes.
To strengthen a good rapport between the department and Multi-National Companies to enhance graduates’ technological skills and research capabilities.
Program Educational Objectives(PEO)
Program Outcomes(PO)
Engineering Graduates will be able to:
1. Engineering knowledge: Apply the knowledge of mathematics, science, engineering fundamentals and an engineering specialization to the solution of complex engineering problems.
2. 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.
3. 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.
4. 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.
5. 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.
6. 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.
7. 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.
8. Ethics: Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice.
9. Individual and team work: Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings.
10. 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.
11. 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.
12. 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 Outcomes(PSO)
PSO1: To understand, analyse and develop analytical solutions in the areas related to real-time societal issues, multimedia, database, big data analytics, and networking for efficient design of business solutions.
PSO2: To employ advanced analytic platforms in creating innovative career paths to become best data scientists.
Samayapuram, Tiruchirappalli
[email protected]
