Academic Curriculum Semester Details

Postgraduate - M.Tech in Control Systems

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 2	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 3	3	0	0	3
E04	Elective 4 (Swayam or Department Elective)	3	0	0	3
	Total	15	0	0	18

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