Course Code Course Name Stream Credits Instructor
E0 270o Machine Learning AI 3:1 Ambedkar Dukkipati Core
E1 252o Linear and Non-linear Optimization AI 3:1 Chandramani Singh Core
E0 251o Data Structures and Graph Analytics AI 3:1 Viraj Kumar Elective
E1 294o Edge and Cloud Systems for Machine Learning Algorithms AI 3:1 Sumit Kumar Mandal Elective
DA 218o Probabilistic Machine Learning: Theory and Applications DSBA 3:1 Punit Rathore Core
DS 285o Tensor Computations for Data Science DSBA 3:1 Rathikantha Behara Elective
DS 216o Applied Artificial Intelligence in Healthcare DSBA 3:1 Vaanathi Sundaresan Elective
DA 245o Linear Optimization and Network Science DSBA 3:1 Tarun Rambha Elective
DA 219o Quantum Computing Methods: Theory and Applications DSBA 3:1 Phani Motamarri Elective
DS 261o Artificial Intelligence for Medical Image Analysis DSBA 3:1 Phaneendra Yalavarthy Elective
E2 201o Digital Communications ECE 3:1 Chandra R Murthy Core
E1 245o Statistical Inference for Engineers and Data Scientists ECE 3:1 Vaibhav Katewa Core
E2 217o Machine Learning for Wireless Communications ECE 3:1 Sudhan Majhi Elective
E8 205o Antennas and Circuits for Emerging Communication and Radar ECE 3:1 Debdeep Sarkar Elective