• Understand and apply the fundamental principles of control theory and automation.
• Design and implement efficient control systems using modern tools and technologies.
• Analyze and troubleshoot control system failures using diagnostic methodologies.
• Integrate automation systems with emerging technologies such as IoT and AI.
• Monitor and adapt to evolving trends in control systems and industrial automation.

• Engineers and technicians in control systems
• Automation and process control professionals
• Technical staff in system design and maintenance
• Engineering students and researchers in automation fields

Module 1: Fundamentals of Control Theory

• Basic concepts and terminology
• Feedback vs. feedforward control
• Control modes and system stability

Module 2: Automation Technologies

• Sensor and actuator functions
• PLCs and their role in automation
• Industrial communication systems

Module 3: System Design and Implementation

• System architecture planning
• Developing control algorithms
• Designing user interfaces

Module 4: Troubleshooting Control Systems

• Identifying common failures
• Using diagnostic tools
• Implementing preventive maintenance

Module 5: Integration With Other Technologies

• Applying IoT in control systems
• Incorporating AI solutions
• Managing cyber-physical systems

Module 6: Current Trends in Automation

• Smart manufacturing innovations
• Robotics applications
• Energy-efficient automation systems

Module 7: Advanced Control Strategies

• Predictive control models
• Adaptive systems and learning algorithms
• Handling nonlinear control issues

Module 8: Project Management in Control Systems

• Planning and scheduling tasks
• Managing technical resources
• Ensuring quality and testing processes

The course combines various teaching methods, including instructor-led presentations, group discussions, case study analyses, and assessments through quizzes and a final exam to engage participants and ensure they understand and retain the material.