Learning outcome
1.1

1.1 Comprehensive, theory based understanding of the underpinning natural and physical sciences and the engineering fundamentals applicable to the engineering discipline.
1.2

1.2 Conceptual understanding of the, mathematics, numerical analysis, statistics, and computer and information sciences which underpin the engineering discipline.
1.3

1.3 In-depth understanding of specialist bodies of knowledge within the engineering discipline.
1.4

1.4 Discernment of knowledge development and research directions within the engineering discipline.
1.5

1.5 Knowledge of contextual factors impacting the engineering discipline.
1.6

1.6 Understanding of the scope, principles, norms, accountabilities and bounds of contemporary engineering practice in the specific discipline.
2.1

2.1 Application of established engineering methods to complex engineering problem solving.
2.2

2.2 Fluent application of engineering techniques, tools and resources.
2.3

2.3 Application of systematic engineering synthesis and design processes.
2.4

2.4 Application of systematic approaches to the conduct and management of engineering projects.
3.1

3.1 Ethical conduct and professional accountability.
3.2

3.2 Effective oral and written communication in professional and lay domains.
3.3

3.3 Creative, innovative and pro-active demeanour.
3.4

3.4 Professional use and management of information.
3.5

3.5 Orderly management of self, and professional conduct.
3.6

3.6 Effective team membership and team leadership.
A1

<p>Design and develop a sensor system towards automation of a mechatronic industrial process.</p>
A2

<p>Develop model robot with sensors and associated electronics and software.</p>
A3

<p>Design an effective unmanned vehicle / autonomous mobile robot navigation system.</p>
A4

<p>Interface sensor systems and artificial intelligence methodology in an industrial mechatronic process to achieve desired control and automation.</p>
K1

<p>Demonstrate understanding of sensor principles.</p>
K2

<p>Explain the operation, characteristics and performance of different types of sensors.</p>
K3

<p>Reflect on the understanding of light, image and vision system.</p>
K4

<p>Demonstrate understanding of data conditioning alongside interpreting, analysing and evaluating data extracted from the sensors.</p>
K5

<p>Identify and explain sensor fusion techniques.</p>
K6

<p>Demonstrate understanding of various sensors in autonomous systems for perceiving the environment.</p>
K7

<p>Explain the working principles and operation of sensor system.</p>
S1

<p>Integrate, test and critically analyse data obtained from different sensors / sensor array.</p>
S2

<p>Perform sensor data conditioning with appropriate software.</p>
S3

<p>Perform required programming associated with sensor data acquisition and processing.</p>
S4

<p>Analyse sensitivity and accuracy of different sensors.</p>