M. Tech. Course Work

M.tech students have to complete 7 core courses + 1 lab course + a seminar + 2 departmental elective courses from the list given in the study bulletin. One institute elective course is mandatory for all students from a list of courses specified from time to time. Apart from this a course on communication skills (part I & II both) is compulsory for all students. Students have to complete projects stage I & II in third and fourth semester respectively. The semester wise course structure is given below:

L - Lectures per Week
T - Tutorials per Week
P - Practical per Week
C - Credits

Core / Compulsory Courses

		L	T	P	C
SC 601	Modeling and Identification of Dynamical Systems	3	0	0	6
SC 620	Automation and Feedback Control	3	0	0	6
SC 625	Systems Theory	3	0	0	6
SC 629	Introduction to Probability and Random Processes	3	0	0	6
SC 639	Mathematical Structures for Control	3	0	0	6
SC 694	Seminar	0	0	0	4
HS 791 SC 792	Communication Skills-I Communication Skills-II (Dept part)	2	0	0	4
					34 + 4

		L	T	P	C
SC 602	Control of Nonlinear Dynamical Systems	3	0	0	6
SC 607	Optimization	3	0	0	6
SC 626	Systems and Control Engineering Lab	0	0	0	4
	Elective I / Institute Elective				6
	Elective II				6
					28

		L	T	P	C
	Elective III / Institute Elective				6
SC 697	I Stage Project				54
					60

		L	T	P	C
SC 698	II Stage Project				36

List of Electives

I / III semester AE 775 - System Modelling, Dynamics and Control EE 603 - Digital Signal Processing and its Applications EE 613 - Nonlinear Dynamical Systems EE 635 - Applied Linear Algebra EE 640 - Multivariable Control Systems EE 675 - Microprocessor Applications in Power Electronics EE 721 - Hardware Description EE 617 - Sensors in Instrumentation EE 671 - VLSI Design EE 616 - Electronic Systems Design EN 613 - Nuclear Reactor Theory EN 705 - An Introduction to Energy Systems Engineering EE 769 - Introduction to Machine Learning SC 624 - Differential Geometric Methods in Control SC 619 - Control of Lagrangian and Hamiltonian Systems SC 627 - Motion Planning and Coordination of Autonomous                  Vehicles SC 605 - Optimization-based Control of Stochastic Systems SC 618 - Analytical and Geometric Dynamics SC 631 - Games and Information SC 633 - Geometric and Analytic Aspects of Optimal Control SC 634 - Introduction in Mobile Robotics SC 636 - Theory of Output Regulation SC 637 - Sparsity methods in systems and Control SC 638 - Quantum Control SC 702 - Control of Distributed Parameter Systems SC 640 - Applied Predictive Analytics SC 641 - Solid State Systems and Control

II / IV semester AE 693 - Nonlinear Control Systems CL 625 - Process Control and Identification CL 686 - Advanced Process Control CL 650 - Process Monitoring and Fault Diagnosis EE 622 - Optimal Control Systems EE 712 - Embedded Systems (Hardware) EE 714 - Behavioral Theory of Systems EE 636 - Matrix Computations IT 606 - Embedded Systems (Software) ME 604 - Robotics ME 766 - High Performance Scientific Computing SC 605 - Optimization-based Control of Stochastic Systems SC 612 - Introduction to Linear Filtering and Beyond SC 616 - Large Scale Systems SC 617 - Adaptive Control Theory SC-621 - Quantitative Feedback Theory I SC 623 - Optimal and Robust Control SC 628 - Guidance Strategies for Autonomous Vehicles SC 700 - Embedded Control systems SC 630 - Variable Structure and Sliding Mode Control SC 635- Advance topics in mobile robotics SC 701 – Physics and Control