Explore the comprehensive syllabus of M.Tech. in Systems and Control Engineering, covering advanced topics in control theory, robotics, and automation.
Syllabus and subjects in M.Tech. Systems and Control Engineering
The M.Tech. in Systems and Control Engineering syllabus is a specialized program designed to equip students with a deep understanding of advanced control systems, automation, and system modelling. The curriculum encompasses a diverse range of subjects, including linear and nonlinear control theory, optimization, dynamic modelling, robotics, mechatronics, and system identification. Students delve into advanced topics such as adaptive control, state-space control, and optimal control strategies. Practical application is a key component, with hands-on experience in designing and implementing control systems, often using industry-standard software and hardware tools. Additionally, coursework often includes project work and research opportunities, allowing students to tackle real-world control and automation challenges. Graduates are well-prepared for careers in industries such as aerospace, manufacturing, robotics, and automation, as well as research and development roles in academia or the private sector, where they can contribute to the design and optimization of complex systems and control solutions to meet the demands of today's technology-driven world.
1st Year OR 1st & 2nd Semester Syllabus of Master of Technology (M.Tech.) Systems and Control Engineering
S.no | Subjects |
1 | Classical control techniques for MIMO systems |
2 | State feedback control |
3 | Random Variables |
4 | Random Processes |
5 | Optimization Techniques |
6 | Analysis of Nonlinear Systems |
7 | Advanced Control Lab |
8 | Systems & Control Seminar |
2nd Year OR 3rd & 4th Semester Syllabus of Master of Technology (M.Tech.) Systems and Control Engineering
S.No | Subjects |
1 | Nonlinear Control Techniques |
2 | Robust Control Techniques |
3 | Digital IC design and verification |
4 | Sensors and Transducers in Health care |
5 | Measure Theoretic Probability |
6 | Thesis |