| Learning outcome | 
                1.11.1 Comprehensive, theory based understanding of the underpinning natural and physical sciences and the engineering fundamentals applicable to the engineering discipline.  | 
                        
                1.21.2 Conceptual understanding of the, mathematics, numerical analysis, statistics, and computer and information sciences which underpin the engineering discipline.  | 
                        
                1.31.3 In-depth understanding of specialist bodies of knowledge within the engineering discipline.  | 
                        
                1.41.4 Discernment of knowledge development and research directions within the engineering discipline.  | 
                        
                1.51.5 Knowledge of contextual factors impacting the engineering discipline.  | 
                        
                1.61.6 Understanding of the scope, principles, norms, accountabilities and bounds of contemporary engineering practice in the specific discipline.  | 
                        
                2.12.1 Application of established engineering methods to complex engineering problem solving.  | 
                        
                2.22.2 Fluent application of engineering techniques, tools and resources.  | 
                        
                2.32.3 Application of systematic engineering synthesis and design processes.  | 
                        
                2.42.4 Application of systematic approaches to the conduct and management of engineering projects.  | 
                        
                3.13.1 Ethical conduct and professional accountability.  | 
                        
                3.23.2 Effective oral and written communication in professional and lay domains.  | 
                        
                3.33.3 Creative, innovative and pro-active demeanour.  | 
                        
                3.43.4 Professional use and management of information.  | 
                        
                3.53.5 Orderly management of self, and professional conduct.  | 
                        
                3.63.6 Effective team membership and team leadership.  | 
                    
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            A1<p>Apply mathematical and theoretical knowledge to design control system for a practical dynamic mechatronic process to achieve desired robustness and stability.</p>  | 
                
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            A2<p>Apply systematic engineering methods in solving and analysing complex mechatronic control systems.</p>  | 
                
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            K1<p>Demonstrate the principles of control system theory.</p>  | 
                
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            K2<p>Explain the principles of system stability and dynamic system.</p>  | 
                
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            K3<p>Describe the role of Masons rule, PID Control, Nyquist and Routh stability criterion.</p>  | 
                
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            K4<p>Interpret the behaviour of a control system when an input is applied.</p>  | 
                
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            K5<p>Explain different control terms and parameters to evaluate the system behaviour.</p>  | 
                
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            K6<p>Examine transient and frequency response analysis.</p>  | 
                
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            K7<p>Discuss feedback control mechanisms of dynamic systems.</p>  | 
                
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            K8<p>Analyse and synthesise a multivariable control system.</p>  | 
                
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            S1<p>Generate mathematical models of dynamic control system by applying differential equations.</p>  | 
                
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            S2<p>Analyse and characterise the behaviour of a control system in terms of different system and performance parameters.</p>  | 
                
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            S3<p>Evaluate and analyse system performance using frequency and transient response analysis.</p>  | 
                
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            S4<p>Design and simulate control systems, using control software, to achieve required stability, performance and robustness.</p>  | 
                
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            S5<p>Critically analyse and outline the dynamic response of closed loop systems.</p>  |