About the Programme
Artificial Intelligence and Machine Learning have emerged as transformative technologies shaping the future of industries worldwide. The undergraduate specialization in Artificial Intelligence & Machine Learning is designed to provide students with a strong foundation in intelligent computing systems, data-driven technologies, and modern computational methodologies. The programme introduces key concepts such as machine learning, deep learning, natural language processing, computer vision, and intelligent automation.
Through a blend of theoretical understanding and practical application, students develop analytical, computational, and problem-solving competencies essential for addressing real-world challenges. Project-based learning, laboratory sessions, and industry-oriented activities enable learners to explore emerging technological advancements while fostering innovation and critical thinking. The specialization prepares students for future academic pursuits and professional opportunities in the rapidly evolving domain of intelligent technologies.
Program Educational Objectives (BCA)
- PEO1: Demonstrate technical proficiency and application development skills to secure professional positions in IT, ITES, or related sectors, or successfully pursue higher education in computing and management.
- PEO2: Continuously enhance their professional knowledge and technical skills by adapting to new tools and technologies, engaging in lifelong learning, and contributing effectively to evolving organizational needs.
- PEO3: Practice professional ethics, demonstrate effective communication and teamwork, and exhibit the leadership qualities necessary to manage projects and contribute positively to society and their workplace.
- PEO4: Leverage their foundational knowledge and problem-solving capabilities to innovate, establish, or contribute to entrepreneurial ventures that address societal challenges through technology.
Program Outcomes (BCA)
- PO1: Engineering Knowledge - Utilize a comprehensive understanding of mathematics, science, and engineering fundamentals, including computing principles, to address intricate engineering challenges within the field of computer applications.
- PO2: Problem Analysis - Effectively identify, research, and analyze complex engineering problems within the realm of computer applications, leveraging foundational principles of mathematics, natural sciences, and engineering sciences to formulate computing requirements and derive substantiated conclusions
- PO3: Design & Development of Solutions - Demonstrate the ability to design, implement, and evaluate software-based systems with appropriate attention to public health, safety, cultural, societal, and environmental considerations
- PO4: Research & Data Interpretation - Apply research-based knowledge and methodologies, encompassing experimental design, data analysis, and information synthesis, to interpreting data effectively.
- PO5: Modern Tool Usage - Utilize contemporary engineering and IT tools, including predictive modeling techniques, for complex engineering activities, with an awareness of their limitations. Demonstrate adeptness in applying current techniques, skills, and modern computing tools essential for effective practice.
- PO6: Society, Environment & Sustainability - Apply contextual knowledge to evaluate societal, health, safety, legal, and cultural issues, along with associated responsibilities, pertinent to professional engineering practice. Comprehend the societal and environmental implications of professional engineering solutions, emphasizing the importance of sustainable development. Analyze the local and global ramifications of computing on individuals, organizations, society and the world.
- PO7: Ethics & Professional Responsibility - Display comprehension of professional, ethical, legal, security, and social issues, and uphold responsibilities with a commitment to diversity, equity, and inclusive behavior within the realm of Computer Applications.
- PO8: Individual & Team Work - Capable of working efficiently both independently and by actively contributing to collaborative teamwork within diverse, multidisciplinary teams to achieve shared objectives.
- PO9: Communication Skills - Demonstrate effective and inclusive communication skills to convey information clearly with diverse audiences across different contexts using appropriate media and tools.
- PO10: Professional Development - Recognition of the need for and an ability to engage in continuing professional development.
- PO11: Life-long Learning & Adaptability - Recognize the need for, and have the ability to engage in, independent and life-long learning, demonstrating adaptability and awareness of emerging technologies in the rapidly evolving field of Computer Applications.
Program Specific Outcomes (BCA)
- PSO1: Software Development and Problem Solving - Apply programming concepts, data structures, algorithms, database technologies, and software development methodologies to design and develop efficient, reliable, and user-oriented computing solutions for real-world problems.
- PSO2: Emerging Technologies and Computing Tools - Utilize modern computing tools, analytical techniques, and emerging technologies such as Artificial Intelligence, Data Science, Cloud Computing, Cyber Security, and Web/Mobile Technologies to develop innovative and sustainable applications.
- PSO3: Professional Skills and Lifelong Learning - Demonstrate professional ethics, effective communication, teamwork, adaptability, and continuous learning abilities to function successfully in multidisciplinary environments and adapt to evolving technological advancements.