M. Tech. Course Work upto batch 2021
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 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
List of Electives
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 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
First Semester
| L | T | P | C | ||
| SC 601 | Modeling and Identification of Dynamical Systems | 3 | 0 | 0 | 6 |
| SC 645 | Intelligent Feedback Control | 2 | 1 | 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 |
| SC 899 | Communication Skills | 1 | 2 | 0 | 6 |
| 34 + 6 |
Second Semester
| 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 |
Third Semester
| L | T | P | C | ||
| Elective III / Institute Elective | 6 | ||||
| SC 697 | I Stage Project | 54 | |||
| 60 |
Fourth Semester
| 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 653 - Power Electronics 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 617 - Adaptive Control Theory 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 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 640 – Applied Predictive Analytics SC 641 – Solid State Systems and Control SC 643 - Stochastic and Networked Control SC 648 - Stochastic Processes in Engineering and Natural Systems |
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 618 - Analytical and Geometric Dynamics SC-621 - Advanced Feedback Theory I SC 623 - Optimal and Robust Control SC 624 – Differential Geometric Methods in Control SC 628 - Guidance Strategies for Autonomous Vehicles SC 630 - Variable Structure and Sliding Mode Control SC 635 - Advance topics in mobile robotics SC 638 - Quantum Control SC 642 - Observation Theory SC 700 - Embedded Control systems SC 701 – Physics and Control SC 702 - Linear Systems Theory for PDEs SC 401 - Linear Systems and Electromagnetic waves SC 403 - Systems Modelling and Simulation |
M. Tech. Course Work from batch 2022
M.tech students have to complete 4 core courses + 1 lab course + a seminar + 5 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 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
List of Core courses
List of Electives
M.tech students have to complete 4 core courses + 1 lab course + a seminar + 5 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 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
First Semester
| L | T | P | C | ||
| SC 625 | Systems Theory / Elective | 3 | 0 | 0 | 6 |
| SC 629 | Introduction to Probability and Random Processes / Elective | 3 | 0 | 0 | 6 |
| SC 639 | Mathematical Structures for Control / Elective | 3 | 0 | 0 | 6 |
| SC 899 | Communication Skills | 1 | 2 | 0 | 6 |
| Elective | 3 | 0 | 0 | 6 | |
| 24 + 6 |
Second Semester
| L | T | P | C | ||
| SC 602 | Control of Nonlinear Dynamical Systems / Elective | 3 | 0 | 0 | 6 |
| SC 607 | Optimization / Elective | 3 | 0 | 0 | 6 |
| SC 626 | Systems and Control Engineering Lab | 0 | 0 | 0 | 4 |
| SC 645 | Intelligent and Feedback Control / Elective | 2 | 1 | 0 | 6 |
| SC 694 | Seminar | 0 | 0 | 0 | 4 |
| Elective / Institute Elective | 6 | ||||
| Elective | 6 | ||||
| 38 |
Third Semester
| L | T | P | C | ||
| Elective / Institute Elective | 6 | ||||
| SC 697 | I Stage Project | 54 | |||
| 60 |
Fourth Semester
| L | T | P | C | ||
| SC 698 | II Stage Project | 36 | |||
| Total Credits | 158 + 6 | ||||
List of Core courses
SC 645 - Intelligent and Feedback Control
SC 625 - Systems Theory
SC 629 - Introduction to probability and random processes
SC 639 - Mathematical Structures for Control
SC 602 - Control of Nonlinear Dynamical Systems
SC 607 - Optimisation
SC 625 - Systems Theory
SC 629 - Introduction to probability and random processes
SC 639 - Mathematical Structures for Control
SC 602 - Control of Nonlinear Dynamical Systems
SC 607 - Optimisation
List of Electives
AE 775 - System Modelling, Dynamics and Control
AE 693 - Nonlinear Control Systems
CL 625 - Process Control and Identification
CL 686 - Advanced Process Control
CL 650 - Process Monitoring and Fault Diagnosis
CS 684 - Embedded Systems
EE 603 - Digital Signal Processing and its Applications
EE 613 - Nonlinear Dynamical Systems
EE 635 - Applied Linear Algebra
EE 640 - Multivariable Control Systems
EE 653 – Power Electronics
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
EE 769 - Introduction to Machine Learning
EE 622 - Optimal Control Systems
EE 712 - Embedded Systems (Hardware)
EE 714 - Behavioral Theory of Systems
EE 636 - Matrix Computations
EN 613 - Nuclear Reactor Theory
EN 705 - An Introduction to Energy Systems Engineering
IE 630 – Simulation Modelling and Analysis
ME 604 – Robotics
ME 766 - High Performance Scientific Computing
SC 645 - Intelligent and Feedback Control
SC 625 - Systems Theory
SC 629 - Introduction to probability and random processes
SC 639 - Mathematical Structures for Control
SC 602 - Control of Nonlinear Dynamical Systems
SC 607 – Optimisation
SC 617 - Adaptive Control Theory
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 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 640 – Applied Predictive Analytics
SC 641 – Solid State Systems and Control
SC 643 - Stochastic and Networked Control
SC 648 - Stochastic Processes in Engineering and Natural Systems
SC 605 - Optimization-based Control of Stochastic Systems
SC 612 - Introduction to Linear Filtering and Beyond
SC 616 - Large Scale Systems
SC 618 - Analytical and Geometric Dynamics
SC-621 - Advanced Feedback Theory I
SC 623 - Optimal and Robust Control
SC 624 – Differential Geometric Methods in Control
SC 628 - Guidance Strategies for Autonomous Vehicles
SC 635 - Advance topics in mobile robotics
SC 638 - Quantum Control
SC 642 - Observation Theory
SC 644 – Control of the Heat Equation
SC 647 - Topological Methods in Control and Data Science
SC 650 - High Energy Physics and Systems
SC 700 - Embedded Control Systems
SC 701 – Physics and Control
SC 702 - Linear Systems Theory for PDEs
SC 401 - Linear Systems and Electromagnetic waves
SC 403 - Systems Modelling and Simulation
AE 693 - Nonlinear Control Systems
CL 625 - Process Control and Identification
CL 686 - Advanced Process Control
CL 650 - Process Monitoring and Fault Diagnosis
CS 684 - Embedded Systems
EE 603 - Digital Signal Processing and its Applications
EE 613 - Nonlinear Dynamical Systems
EE 635 - Applied Linear Algebra
EE 640 - Multivariable Control Systems
EE 653 – Power Electronics
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
EE 769 - Introduction to Machine Learning
EE 622 - Optimal Control Systems
EE 712 - Embedded Systems (Hardware)
EE 714 - Behavioral Theory of Systems
EE 636 - Matrix Computations
EN 613 - Nuclear Reactor Theory
EN 705 - An Introduction to Energy Systems Engineering
IE 630 – Simulation Modelling and Analysis
ME 604 – Robotics
ME 766 - High Performance Scientific Computing
SC 645 - Intelligent and Feedback Control
SC 625 - Systems Theory
SC 629 - Introduction to probability and random processes
SC 639 - Mathematical Structures for Control
SC 602 - Control of Nonlinear Dynamical Systems
SC 607 – Optimisation
SC 617 - Adaptive Control Theory
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 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 640 – Applied Predictive Analytics
SC 641 – Solid State Systems and Control
SC 643 - Stochastic and Networked Control
SC 648 - Stochastic Processes in Engineering and Natural Systems
SC 605 - Optimization-based Control of Stochastic Systems
SC 612 - Introduction to Linear Filtering and Beyond
SC 616 - Large Scale Systems
SC 618 - Analytical and Geometric Dynamics
SC-621 - Advanced Feedback Theory I
SC 623 - Optimal and Robust Control
SC 624 – Differential Geometric Methods in Control
SC 628 - Guidance Strategies for Autonomous Vehicles
SC 635 - Advance topics in mobile robotics
SC 638 - Quantum Control
SC 642 - Observation Theory
SC 644 – Control of the Heat Equation
SC 647 - Topological Methods in Control and Data Science
SC 650 - High Energy Physics and Systems
SC 700 - Embedded Control Systems
SC 701 – Physics and Control
SC 702 - Linear Systems Theory for PDEs
SC 401 - Linear Systems and Electromagnetic waves
SC 403 - Systems Modelling and Simulation
