Course Topics
The basic principles of stability and automatic control for linear time-invariant systems are presented.

Teaching format
Classroom lectures and exercises.

Educational objectives
Knowledge and understanding: 1. Applying basic feedback principles to a broad range of dynamic system models (such as those typically learned in the 1st cycle). 2. Defining feedback loop requirements for improving system steady state response. 3. Understanding conditions that guarantee closed loop system stability. 4. How to design controllers via Root Locus, Frequency Response and State Space Techniques. Applying knowledge and understanding: 5. Analyzing, developing and presenting control systems for applications that span multiple disciplines through exercises, which complement the lectures. Making judgements: 6. On the choice of analytical and numerical tools to use in the exercises. This may require you to integrate knowledge, handle complexity, and formulate judgements with incomplete data. Communication skills 7. In-class exercises will require you justify your solutions/conclusions concisely (in clear and simple language). Learning Skills: 8. Students will be required to develop a proficiency in Matlab and Simulink with a few in-class examples, but mostly on their own. This is intended to help students develop the ability to study in a manner that is largely self-directed or autonomous.

Assessment
- Formative assessment: Exercises: 20 hours total; ILOs assessed: 1 - 8; - Summative assessment: 15% exercises; ILOs assessed: 1 - 8; 85% final exam: 4 hours; ILOs assessed: 1 - 6.

Evaluation criteria
In-Class Exercises: Completeness and correctness of answers; level of understanding Written Final Exam: Completeness and correctness of answers. Students are required to receive an overall grade of greater than 60/100 points in order to pass the course.