Computer Science and Engineering-Artificial Intelligence and Machine Learning(CSE-AI&ML)
Vision
To develop skilled technocrats, innovative researchers, and visionary entrepreneurs in Artificial Intelligence and Machine Learning who drive sustainable technological advancements and contribute significantly to national and global growth.
Mission
- To impart strong technical foundations in Artificial Intelligence, Machine Learning, and emerging computing technologies through innovative teaching methodologies and industry-relevant curricula.
- To cultivate a research-driven and innovation-oriented mindset by promoting projects, publications, interdisciplinary learning, and industry collaboration.
- To bridge academia and industry by providing real-world exposure, professional mentorship, ethical awareness, and opportunities for lifelong learning.
Program Educational Objectives (PEOs)
- Graduates will design and deploy intelligent, secure, and scalable computing solutions using AI, ML, data science, and emerging technologies to address real-world challenges.
- Graduates will integrate advanced computing domains such as cybersecurity, cloud computing, automation, IoT, and smart systems to enhance digital transformation and innovation.
- Graduates will demonstrate professional excellence through ethical practices, effective teamwork, leadership, and continuous learning in evolving technological environments.
Program Specific Outcomes (PSOs)
- Integrate domain expertise with mathematical modeling, and algorithmic strategies to develop optimized, real-time solutions for complex computational challenges.
- Design and implement technology-driven engineering solutions using modern IT tools with a strong focus on sustainability, environmental responsibility.
- Exhibit ethical conduct, leadership, and collaborative abilities in handling diverse technical projects, complemented by clear communication and high-quality technical documentation.
CSE(AI&ML) Syllabus
