Materials in a complex world 1: People, projects and data

This unit will explore the importance and use of quantitative data and modelling in materials engineering, including experimental design, data acquisition, interpretation and communication of results. It also launches a program of professional skills training, aimed at preparing and equipping you for professional careers in engineering and related fields. These skills are developed through performing an extended experimental modelling and data analysis project.

Attention will be given to handling imperfections within datasets and dealing with error and uncertainty, including frequentist and Bayesian statistics. You will develop programming skills and learn how to use key computational tools and programming techniques. Professional skills aspects will include interpersonal skills, intercultural awareness, giving and receiving constructive feedback, effectively working in diverse teams with clear roles and planning, and managing successful projects. The key area of appropriate ethical professional conduct will also be addressed. Work carried out in this unit will begin to form the basis of a portfolio of materials project work.

Active learning - This unit engages you in actively applying your knowledge, skills and attributes in interactive, collaborative and reflective activities.

Problem-based learning - Concepts taught throughout the unit will be applied to a major project.

The minimum total expected workload to achieve the learning outcomes for this unit is 144 hours per semester typically comprising a mixture of 3-4 hours of scheduled learning activities and 8-9 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.