COMPUTER SCIENCE AND ENGINEERING (ARTIFICIAL INTELLIGENCE & MACHINE LEARNING)
HIGHEST SALARY PACKAGE
RECRUITERS
PUBLICATIONS
PATENTS
PROGRAMME SCOPE
Shape the future with intelligent machines. Fuse your CS foundation with AI & ML. Design, build, and deploy game-changing systems in CSE-AI & ML.
Dive deep into Machine Learning, Deep Learning, Natural Language Processing, Computer Vision, Generative AI and Reinforcement learning – the AI & ML algorithms that unlock the secrets hidden within data.
AI & ML are pushing the boundaries of intelligence. Young engineers with a data interest can join the mission to shape tomorrow’s intelligent systems.
LEARNING SCOPE
CAREER PROGRESSION
VISION
To become a model hub for Computer Science and Engineering-Artificial Intelligence and Machine Learning education and research by acquiring, disseminating, and generating knowledge in order to meet societal demands.
MISSION
Evolve curriculum and delivery approaches to provide broad and wide exposure to the learner to gain adequate knowledge in their field of study.
Provide opportunities for faculties to enhance their domain knowledge and skills required for the programs offered.
Establish connections with local, national and global experts to share, utilize and exchange domain expertise.
Conduct Outreach activities for the society that involve the use of artificial intelligence and machine learning solutions to deal with societal issues.
Create and provide a conducive ecosystem and facilities for offering education related to artificial intelligence and machine learning.
PROGRAMME DETAILS
- PEO1: Graduates will have successful careers in AI and ML-related fields, including positions such as data scientists, machine learning engineers, AI researchers, and consultants.
- PEO2: Graduates will recognize the dynamic nature of AI and ML technologies and engage in continuous learning to stay abreast of the latest advancements, tools, and techniques in the field.
- PEO3: Graduates will have the knowledge and skills to identify opportunities for applying AI and ML in various domains, potentially founding startups, or contributing to the growth and competitiveness of existing organizations.
- 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 / 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: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 Society:The Engineer 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: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 Teamwork: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.
- PSO1:Apply the knowledge of mathematical concepts, programming fundamentals and algorithms for solving complex problems in AI and ML domains.
- PSO2:Design, implement, and evaluate end-to-end AI solutions, including data acquisition, preprocessing, model development, deployment, and monitoring, adhering to best practices in software engineering and system design.
Corporate ADVISORY BOARD
Mr.Subrahmanian Kumaraswamy
Mr.Bagavath. P
Mr.A.Ravi Kasthuri
CTO, Presentation.AI
Mr.Karthick Shanmugasundaram
Ms.Aishwarya Sterling James
ENHANCED LEARNING
LABS
- Programming Languages Laboratory
- Full Stack Development Laboratory
- Artificial Intelligence Laboratory
- Machine Learning & Deep Learning Laboratory
- Data Analytics Laboratory
- Data Visualization & Exploration Laboratory
- Computer Vision, Text and Video Analytics Laboratory
VALUE ADDED COURSES
- Mastering LLM using Knime
- Mastering in OpenCV
- PowerBI Analytics
- Quantum ML Computing using Amazon Brackt
- GPT Development using Amazon Textract
INNOVATIVE TEACHING
- Project based Learning using Github Copilot
- Self Learning using OpenAI
- Statistical Analysis using Desmos Calculator
- Experential Learning through Python Frameworks
- Model building using Cognii
Head of the department
FACULTY MEMBERS
RESEARCH
Sri Eshwar encourages faculty members to seek support and secure research funds from various funding agencies such as DST, AICTE, TNSCCT, MHRD, CSIR, DRDO, ISTE, and industry partners to develop research facilities and carry out research projects. The Institute also supports this initiative by sponsoring seed funds to departments for setting up research laboratories and promoting research.
AU APPROVED
RESEARCH
supervisors
research
facilities
Publications
patents
research
grants &
seed funds
consultancy projects
INDUSTRY COLLABORATION
Sri Eshwar encourages members of faculty to seek support and secure research funds from industry and various funding agencies such as DST, AICTE, TNSCCT, MHRD, CSIR, DRDO, ISTE, Industry etc to develop research facility and to carry out research projects. The Institute also supports by sponsoring seed fund to the departments to set up research laboratories and promote research.
mous
industry
visits
internships
coe
activities
projects
RECRUITERS
AI&ML OFFICE
Dr.S.Sumathi
Professor & Head, CSE(AI&ML)
+914259200452
Email: [email protected]
Ms.P.Brindha
Dept. Office Secretary, CSE(AI&ML)
+914259200452
Email: [email protected]