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  • 5:44 PM, Monday, 28 Jul 2025

Postgraduate - M.Tech in Quantum Technology

Academic Curricula
Code Course Title L T P C
PH753 Project- Phase I 0 0 0 15
PH756 Comprehensive viva 0 0 0 2
Total 0 0 0 17
Code Course Title L T P C
PH758 Project- Phase II 0 0 0 18
Total 0 0 0 18
Code Course Title L T P C
PH711 Atomic and Molecular Spectroscopy 3 0 0 3
PH712 Optical Thin Films Science and Technology 3 0 0 3
PH713 Optical and Electro-Optical Sensors 3 0 0 3
PH714 Optical Communication 3 0 0 3
PH715 Advanced Optoelectronics 3 0 0 3
PH716 Statistical and Quantum Optics 3 0 0 3
PH717 Non-Linear Optics 3 0 0 3
PH718 Quantum Many-Body Physics 3 0 0 3
PH719 Device Physics and Nanoelectronics 3 0 0 3
PH720 MEMS and MOEMS 3 0 0 3
PH721 Cold Atoms and Bose-Einstein Condensates 3 0 0 3
PH722 High Resolution NMR Spectroscopy in Solids 3 0 0 3
PH723 Solid State NMR Spectroscopy 3 0 0 3
PH724 Quantum Information Processing 3 0 0 3
AVC868 Advanced Sensors and Interface Electronics 3 0 0 3
AVD864 Computer Vision 3 0 0 3
AVD867 Pattern Recognition and Machine Learning 3 0 0 3
AVD870 Deep Learning for Computational Data Science 3 0 0 3
AVC871 Applied Markov Decision Processes and Reinforcement Learning 3 0 0 3
AVD887 Internet of Things 3 0 0 3
AVC867 Electronics System Design 3 0 0 3
MA611 Optimization Techniques 3 0 0 3
MA624 Advanced Machine Learning 3 0 0 3
AVD621 Estimation and Detection Theory 3 0 0 3
AVD872 Advanced Deep Learning 3 0 0 3
AVD873 Deep Learning: Theory and Practice 3 0 0 3
AVD874 Optimization Methods for Machine Learning 3 0 0 3
AVD879 Information Theory and Coding 3 0 0 3
AVD889 Graph Theory 3 0 0 3
AV461 Advanced Control Theory 3 0 0 3
AV474 Cryptography 3 0 0 3
MA873 Graphical and Deep Learning Models 3 0 0 3
MA867 Reinforcement Learning 3 0 0 3
  • Click on Code or Course Title to get the full syllabus
  • L – Lectures (hours per week); T – Tutorials (hours per week); P – Practicals (hours per week); C – Credits
  • For older versions of the Curriculum / Syllabus please refer below