Electronics and Data Analysis

The proper analysis of scientific data is the most powerful tool we have for separating scientific fact from fiction, and a key part of the process in the modern practice of science is getting the data into an electronic format. This class will provide an introduction to the electronics methods and techniques most useful in instrumentation and laboratory settings, along with an introduction to statistical and numerical techniques that are useful in the analysis and characterisation of data. Students will have the opportunity to learn and practice the methods of signal conditioning, analog to digital conversion (and the reverse), and low-noise circuit design that are key to the high-fidelity transformation of signals into data. When analysing data, a focus will be placed on conceptual understanding of how specific methods work and the situations in which they can and cannot be applied. A number of practical examples will be discussed during the course, providing the opportunity for hands-on learning through the processing of real data sets with statistical software and data evaluation programs. The experience gained in this course will help students approach their own research problems.