Control Systems Engineering:

• Study of classical and modern control theory.
• Analysis and design of control systems for automation applications.
• Implementation of feedback control systems.

Robotics Systems:

• In-depth exploration of robotics principles and technologies.
• Kinematics, dynamics, and control of robotic systems.
• Programming and operation of robotic devices.

Industrial Automation:

• Understanding the principles of industrial automation.
• Integration of programmable logic controllers (PLCs) and supervisory control and data acquisition (SCADA) systems.
• Automation in manufacturing processes.

Sensors and Actuators:

• Study of sensors and actuators used in automation and robotics.
• Selection and integration of sensors for control systems.
• Actuator technologies and their applications.

Digital Signal Processing (DSP) and Image Processing:

• Application of DSP techniques in control and signal processing.
• Image processing for robotic vision and recognition.
• Use of sensors and cameras for feedback in automation systems.

Machine Vision:

• Exploration of technologies for computer vision in automation.
• Image recognition, object detection, and pattern recognition.
• Applications of machine vision in quality control and inspection.

Automation in Manufacturing:

• Integration of automation technologies in manufacturing processes.
• Flexible manufacturing systems and smart factories.
• Robotics applications in assembly and production lines.