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  • 4:36 PM, Thursday, 18 Apr 2024


Academic Curricula
Code Course Title L T P C
AVC611 Linear Systems Theory 3 0 0 3
AVC612 Nonlinear Dynamical Systems 3 0 0 3
AVC613 Control System Design 3 0 0 3
MA619 Advanced Mathematics 3 1 0 4
E01 Elective I 3 0 0 3
AVC851 Embedded System Design Lab 1 0 1 2
Total 16 1 1 18
Code Course Title L T P C
E02 Elective II 3 0 0 3
AVC621 Optimal Control Systems 3 0 0 3
AVC622 Nonlinear Control Systems 3 0 0 3
AVC852 Control System Design Project 0 0 0 3
E03 Elective III 3 0 0 3
E04 Elective IV 3 0 0 3
Total 15 0 0 18
Code Course Title L T P C
AVC853 Project - Phase 1 0 0 0 17
Total 0 0 0 17
Code Course Title L T P C
AVC854 Project - Phase II 0 0 0 17
Total 0 0 0 17
Code Course Title L T P C
AVC861 Modeling and Control of Robotic Systems 3 0 0 3
AVC862 Mobile Robotics and Visual Servoing 3 0 0 3
AVC863 Adaptive Control 3 0 0 3
AVC864 Geometric Approach to Mechanics and Control 3 0 0 3
AVC865 Modelling of Launch Vehicle Dynamics 3 0 0 3
AVC866 Robust Control Systems 3 0 0 3
AVC867 Spacecraft Dynamics and Control 3 0 0 3
AVC868 Advanced Sensors and Interface Electronics 3 0 0 3
AVC869 System Identification and Parameter Estimation 3 0 0 3
AVC870 Fractional Calculus and Control 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
AVD871 Applied Markov Decision Processes and Reinforcement Learning 3 0 0 3
AVD887 Internet of Things 3 0 0 3
AVP613 Control of AC Motor Drives 3 0 0 3
AVP865 Power System Dynamics and Control 3 0 0 3
AVP867 Electronics System Design 3 0 0 3
MA611 Optimization Techniques 3 0 0 3
MA613 Data Mining 3 0 0 3
MA624 Advanced Machine Learning 3 0 0 3
AE820 Multidisciplinary Design Optimization 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