Study Environment: Northern Technical University – Kirkuk – College of Engineering Technology – North, Department of Electronics and Control Engineering Technologies (Laboratories + Classrooms)
Course Assessment:
1. Robotics and Artificial Intelligence
Objectives:
• To understand the fundamental principles of robotics and intelligent algorithms.
• To develop the ability to design integrated robotic systems.
Learning Outcomes:
• Knowledge: To grasp the concepts of robotics and artificial intelligence.
• Skills: To build simulation models and apply machine learning techniques in robotics.
• Values: To foster a spirit of innovation and collaborative research.
Teaching Methods:
• Lectures, practical labs, small projects.
Assessment Methods:
• Research projects, presentations, exams.
2. Advanced Electronics
Objectives:
• To deepen the understanding of advanced theories in digital and analog electronics.
• To enable students to analyze and design complex circuits.
Learning Outcomes:
• Knowledge: To master transistor technologies, integrated circuits, and advanced devices. • Skills: Using simulation software to develop and design circuits.
• Values: Commitment to accuracy and professionalism in research and design.
Teaching Methods:
• Lectures, labs, case studies.
Assessment Methods:
• Written exams, practical reports, design projects.
3. Advanced Mathematics
Objectives:
• Equipping students with advanced mathematical tools to solve engineering problems.
• Enhancing mathematical analysis and modeling skills.
Learning Outcomes:
• Knowledge: Understanding differential equations, mathematical transformations, and numerical analysis.
• Skills: Applying mathematical methods to electronics and control systems.
• Values: Accuracy and objectivity in formulating solutions.
Teaching Methods:
• Lectures, exercises, discussions.
Assessment Methods:
• Assignments, problem-solving presentations, exams.
4. Modern Control Systems
Objectives:
• Understanding classical and modern control theories.
• Acquiring skills in designing advanced control systems.
Learning Outcomes:
• Knowledge: Understanding state spaces, optimum control, and nonlinear systems.
• Skills: Designing control systems using MATLAB/Simulink.
• Values: Promoting analytical thinking and research.
Teaching Methods:
• Lectures, labs, simulations, projects.
Assessment Methods:
• Practical reports, individual/group projects, examinations.
5. Advanced Control of Power Systems
Objectives:
• Studying complex electrical power systems.
• Developing protection and system stability techniques.
Learning Outcomes:
• Knowledge: Voltage and frequency control, intelligent power systems.
• Skills: Analyzing network stability and applying digital control techniques.
• Values: Commitment to safety and reliability standards.
Teaching Methods:
• Lectures, labs, research projects.
Assessment Methods:
• Examinations, case studies, reports.
6. English Language (1)
Objectives:
• To develop students’ academic English language skills.
• To improve reading comprehension and the ability to write research papers.
Learning Outcomes:
• Knowledge: Understanding scientific and engineering terminology in English.
• Skills: Writing scientific reports and delivering presentations in English.
• Values: Enhancing self-confidence in academic communication.
Teaching Methods:
• Lectures, language exercises, interactive activities.
Assessment Methods:
• Oral presentations, written assignments, written examinations.
Concluding Note:
• All courses support the achievement of the program’s main outcomes:
– Advanced knowledge in electronics and control.
– The technical and research skills necessary for the specialization.