The academic content and curriculum of the Bachelor of Science in Control and Automation Engineering is designed to prepare students for careers in the field. The curriculum typically begins with courses that teach engineering fundamentals and then focuses on specific topics in control and automation. Here are the courses and topics that can be found in a typical curriculum of this program:
Basic Engineering Courses: These courses include mathematics, physics and general engineering principles. Students learn mathematical fundamentals such as differential equations, linear algebra, statistics and probability. In addition, general physics and engineering mechanics courses are also offered at this stage.
Electrical-Electronics Fundamentals: Students study topics such as electrical circuits, electronics, digital design and microprocessors. These courses provide the foundation for understanding the electrical and electronic components of control and automation systems.
Control Systems: In this area, students are taught the analysis and control of dynamic systems. Topics such as feedback control systems, PID controllers, time and frequency domain analysis are included in the curriculum.
Automation and Robotics: Industrial automation, design and applications of robotic systems, motion control and sensor technologies are covered in these courses. Students gain the knowledge and skills to produce solutions to real world industrial automation problems.
Computer Based Control and Software: These courses cover computer-based design and simulation of control systems. Students are introduced to software engineering, algorithms and programming languages.
Projects and Laboratory Studies: Students put their theoretical knowledge into practice by conducting experiments and working on projects in a laboratory environment. These studies help students develop skills in solving real-world problems and teamwork.
Elective Courses and Areas of Specialization: Students can take elective courses on topics such as advanced control systems, artificial intelligence, machine learning, energy systems control according to their interests.
The curriculum of the program is balanced to ensure that students learn both theoretical knowledge and practical application in a comprehensive manner. This balanced approach ensures that graduates are well prepared for the job market and able to keep pace with rapidly changing technological developments.