COURSE CURRICULUM

The course offers an in-depth study of control systems and robotics, providing students with both theoretical knowledge and practical skills essential for tackling real-world engineering problems. In the Control System Design module, students gain a solid foundation in control systems by exploring a variety of advanced control strategies such as adaptive, nonlinear, and optimal control systems. This equips them to address complex challenges across different industries. The Robotics and Autonomous Systems module focuses on key concepts in robotics, such as kinematic analysis, trajectory planning, and control for robot manipulators and autonomous robots. Students also explore advanced control techniques, dynamic modeling, and AI applications in robotics, while adhering to industrial safety standards for collaborative robots.The Digital Control Implementation module introduces students to digital control principles, particularly in industrial applications, with an emphasis on embedded systems. Through hands-on experience with industry-standard tools, students learn about hardware interfacing, high-level programming, and real-time control and monitoring. Meanwhile, the Data-driven Modelling module explores modern methods for constructing mathematical models of dynamical systems using machine learning approaches. The course covers system identification techniques and deep learning architectures, equipping students with the skills needed to design high-performance controllers for a range of applications in the evolving field of data-driven engineering.The culmination of the program is the Individual Project module, where students apply the skills and knowledge gained throughout the course to tackle a significant engineering problem. The project, typically industrial or research-based, allows students to demonstrate their ability to solve real-world challenges in a professional setting. This hands-on experience solidifies their readiness for careers in control systems, robotics, and data-driven engineering fields.