Design Skills


Lab Scripts

  • Introduction to MATLAB

    MATLAB, short for MATrix LABoratory, is a high-level programming language and interactive environment designed for numerical computation, data analysis, and visualization. Developed by MathWorks, MATLAB is widely used in various fields, including engineering, physics, mathematics, and more, for its powerful capabilities in solving complex problems and conducting research.

  • Frequency Response Measurement

    Introduction

    Almost all circuits have performance that varies with frequency. The frequency response of a circuit or system is commonly used to characterise the performance of the circuit or system. When taking such measurements the accuracy of the measurements needs to be assessed in order to work out how accurate the results are and what can be reliably interpreted from the results. Only if the accuracy is good enough can pass/fail criteria be applied to the performance of the circuit or system.

  • Getting Started with Mahara - Building Your Digital Portfolio

    Mahara is an open-source ePortfolio system that is designed to help you create and manage your digital portfolios. It offers a platform for you to collect, reflect upon, and showcase your achievements, skills, and learning experiences through a range of digital artifacts, such as documents, images, videos, and more.

    The key features of Mahara
    The key features of Mahara

  • Getting Started with Mahara - Building Your Digital Portfolio

    Mahara is an open-source ePortfolio system that is designed to help you create and manage your digital portfolios. It offers a platform for you to collect, reflect upon, and showcase your achievements, skills, and learning experiences through a range of digital artifacts, such as documents, images, videos, and more.

    The key features of Mahara
    The key features of Mahara

  • Electromagnetic Interferance - Cable / Data Bus Example

    Introduction

  • Data Linearisation - diode I-V characteristic

    Introduction

    The trend that data follows as a parameter is varied is often quite complex. In such as case it can be difficult to see how well a set of measurements or predictions is following a trend. Linearisation is used to cast a complex relationship into a linear (straight line) form where it is far easier to see if of data is following an expected trend. Graphing and linear regression can be used to gain a mathematical or statistical measure of how well a trend is being followed.