On completion of the module, a student is expected: 1. To demonstrate creativity in engineering design, with the ability to critically evaluate experimental results and synthesise theoretical knowledge into practical solutions. 2. To provide a comprehensive appreciation of electrical engineers’ responsibilities toward sustainable development, including an understanding of industry pressures, legislation, and internal drivers. 3. To master the principles and tools for sustainable product design, specifically gaining proficiency in Life Cycle Analysis (LCA) for evaluating environmental impact. 4. To develop expert-level computer literacy by mastering MATLAB core syntax, including Procedural and Object-Oriented Programming (OOP) and complex File I/O operations for handling external datasets. 5. To solve engineering problems using numerical methods, specifically applying mathematical tools like Fast Fourier Transforms (FFT) to analyse and interpret real-world signals. 6. To understand and implement MATLAB parallelisation techniques (parfor) to optimize the processing of high-throughput data generated from experimental platforms. 7. To recognise the fundamental building blocks of electrical circuits and successfully correlate textbook theories with practical hardware applications. 8. To design and construct a waste-recognition robot from a given circuit diagram, demonstrating precise manual dexterity in electronic assembly and soldering. 9. To demonstrate the professional ability to independently execute an entire experimental project, from initial hardware assembly to final data-driven analytical reporting.
A. Use basic electronic lab equipment and design software. B. Design and construct an electronic product. C. Develop electrical engineers’ responsibilities in the context of sustainable development. D. Process the experimental data by programming in MATLAB; such as, data analysis, figure plotting. E. Be creative in design, be able to evaluate results and synthesise knowledge.
Lectures: Lectures will be delivered on MATLAB programming to equip students with the necessary computational skills for data analysis. Seminars: Seminars will be used to introduce students to the core concepts of sustainability. These sessions will also explain how sustainability principles are integrated into the practical components of this module. Lab/Practical Exercises: Following the provided scripts, students will assemble a robot in accordance with the module’s requirements. This process will demonstrate key sustainability concepts while also allowing students to develop practical soldering skills. After the robot is assembled, students will use MATLAB to process and analyse the experimental data generated by the robot. This module prioritizes student learning through hands-on practice and project-based exploration, facilitated by the module leader and, where applicable, industrial mentors. Central to the laboratory component is an engineering project: the assembly and analysis of a waste-recognition robot. Students will identify specific learning needs and technical interests within the framework of this core project. The educational process requires students to conduct independent research to gather technical resources and information, enabling them to define and solve engineering challenges inherent to the robot's design. Progress toward the learning outcomes is monitored through a series of structured tasks, where students are guided to progressively address real-world problems. Independent learning is a cornerstone of this module, particularly in mastering the MATLAB-based mathematical analysis required to interpret the robot's output. Assessed through this unified project, students will gain substantive practical experience in undertaking independent study and research, focusing on industry-relevant challenges and the application of sustainable engineering principles.