syllabus for b.tech in CSAI stream
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Artificial Intelligence (AI) has become an integral part of technology in our daily lives, driving to office, searching for a restaurant, getting news updates, and recommendations on social media are all using AI. With increase in usage, there is a significant requirement of researchers who can understand AI and build AI technologies. This program provides students an opportunity to learn both foundational and experimental components of AI and Machine Learning.
A student completing this program will be able to undertake industry careers involving innovation and problem solving using Artificial Intelligence (AI) and Machine Learning (ML) technologies and research careers in AI, ML, and, in general, Computer Science areas. Along with courses that provide specialization in AI, students will also have option to explore applied domains such as computer vision, natural language processing, robotics, and autonomous systems as well as other interdisciplinary areas such as neuroscience, edge computing, and Internet of Things.
Subjects taught in BTech CSAI-
- Introduction to Programming, Digital Circuits, Maths I (Linear Algebra) , Prototyping Interactive Systems, Communication Skills.
- Data Structures and Algorithms, Introduction of Intelligent Systems, Maths II (Probability and Statistics), Computer Organization / Fundamentals of Database Management Systems , SSH
- Advanced Programming, Operating Systems , Discrete Mathematics, Maths 3, Signals and Systems
- Fundamental of database Management System / Computer Organization / Ethics in AI, Maths IV / Graph Theory / Statistical Inference / Introduction to Mathematical Logic / Theory of Computation, Algorithm Design and Analysis, Statistical Machine Learning, Optimization
- Machine Learning, Computer Architecture / Computer Network Compilers, Artificial Intelligence, 4 AI Application Electives, Technical Communication + Environmental Science, Ethics in Artificial Intelligence, 2 AI Core Courses.
