The Department of CSE (Artificial Intelligence & Machine Learning) at SVS is a specialized center of excellence dedicated to the most transformative technologies of the 21st century. Affiliated with JNTU Hyderabad, this program is designed to create engineers who can build autonomous systems, design predictive models, and lead the global shift toward intelligent automation.
PEO1: Implement appropriate theories, practices, and tools to provide effective solutions for multidisciplinary challenges.
PEO2: Function effectively in the workplace, demonstrating professional competence and continuous professional growth.
PEO3: Adapt, contribute, and innovate new technologies in key domains of Artificial Intelligence and Machine Learning during higher studies and product development.
PO1: Engineering Knowledge
Apply knowledge of mathematics, science, engineering fundamentals, and specialization to solve complex engineering problems.
PO2: Problem Analysis
Identify, formulate, review literature, and analyze complex problems using first principles.
PO3: Design/Development of Solutions
Design solutions for complex problems considering public health, safety, cultural, societal, and environmental aspects.
PO4: Investigations of Complex Problems
Use research-based methods including design of experiments, data analysis, and information synthesis for valid conclusions.
PO5: Modern Tool Usage
Create, select, apply appropriate techniques and modern engineering tools including prediction and modeling.
PO6: Engineer and Society
Apply contextual knowledge to assess societal, health, safety, legal, cultural issues and responsibilities.
PO7: Environment and Sustainability
Understand impact of engineering solutions and demonstrate commitment to sustainable development.
PO8: Ethics
Apply ethical principles and commit to professional ethics, responsibilities, and norms.
PO9: Individual and Teamwork
Function effectively as an individual and as a member/leader in diverse and multidisciplinary teams.
PO10: Communication
Communicate effectively on complex engineering activities through reports, presentations, and documentation.
PO11: Project Management and Finance
Demonstrate knowledge of management principles and apply them to manage projects in multidisciplinary environments.
PO12: Life-long Learning
Recognize the need for independent and lifelong learning to adapt to rapid technological change.
Apply core concepts of Artificial Intelligence and Machine Learning, including Data Structures, Database Systems, Operating Systems, Networking, and Intelligent Systems to solve futuristic and complex problems.
Implement automated solutions for real-world problems through laboratory experiments, projects, and internships.
🚀 AICTE Approved | Affiliated to JNTU Hyderabad | Center of Excellence in AI&ML
The CSE (AI&ML) program at SVS blends rigorous academics with hands-on AI/ML labs, industry projects, and research-driven learning — producing engineers ready to lead the intelligent automation revolution.
