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M.Tech. [Online] in Wireless Networks & Machine Learning (Win-ML)

M.Tech. [Online] in Wireless Networks & Machine Learning (Win-ML)


Program Structure: 2C + 6E [54 credits, 6 out of 33 required*]



Course ID Course Title Course Type Prerequisite
EE900E Linear Algebra Core None
EE901E Probability and Stochastic Processes Core None
EE902E Digital Communications Elective None
EE903E Information & Coding Theory Elective None
EE904E Wireless Communications Elective None
EE928E Introduction to Machine Learning Elective None
EE905E Computer & Wireless Networks Elective None
EE906E Image Processing Elective None
EE907E Statistical Signal Processing Elective None
EE908E Fundamentals of Data Science and Machine Intelligence Elective None
EE909E Digital Switching Elective None
EE910E Introduction to Reinforcement Learning Elective None
EE911E Mathematical Structures of Signals and Systems Elective None
EE912E Detection and Estimation Theory Elective None
EE913E Computer Vision and Deep Learning Elective None
EE914E Convex Optimization Elective None
EE915E MIMO Wireless Communications Elective None
EE916E Peer-to-peer networks Elective None
EE917E 5G Wireless Technologies Elective None
EE918E Analysis of Modern Wireless Networks Elective None
EE919E Speech Signal Processing Elective None
EE920E Quantum Computing and Communication Elective None
EE921E Coherent Imaging Elective None
EE922E Natural Language Processing Elective None
EE923E AI in Healthcare Elective None
EE924E Unsupervised Learning Elective None
EE925E Modern Technologies for 5G and Beyond Elective None
EE929E AIML Projects with real-world datasets Elective None
EE926E Machine Learning For Wireless Communications Elective None
EE927E Simulation Techniques in Modern Wireless Elective None