Engineering numerical analysis

This unit introduces engineering computing fundamentals in the contexts of data analysis and modelling of physical systems. The Python programming language will be introduced, including techniques for importing/exporting data and communicating results from computational analysis. Programming structures such as loops, conditional statements and functions will be introduced.

You will use programming to examine a range of complex engineering systems, including performing basic analysis on large data sets and modelling systems that do not exhibit analytical solutions. Problems related to these systems will be solved using various numerical methods for linear regression, root-fiding, numerical integration and numerical solutions to ordinary differential equations. The underlying assumptions, complexities and uncertainties associated with the models and numerical methods will be emphasised.

Active learning - You’ll learn through a blended, flipped active learning approach, with topics introduced via online readings and videos before class. Each week, you’ll prepare by studying the online content, then engage in an expert-led workshop where concepts are reviewed and put into practice through activities. You will gain further practical experience via hands-on practical classes.

The minimum total expected workload to achieve the learning outcomes for this unit is 144 hours per semester typically comprising a mixture of 3-6 hours of scheduled learning activities and 6-9 hours of independent study per week. Scheduled activities may include a combination of teacher-directed learning, peer-directed learning and online engagement. Independent study may include associated readings, assessment and preparation for scheduled activities.