MTE3101 · Materials in a complex world 1: People, projects and data

Overview

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.

Areas of study: E3001 Bachelor of Engineering (Honours) - Specialisation: Materials engineering

Offerings

The Handbook publishes no offerings for this unit.

Assessment

The Handbook lists an examination for this unit.

Continuous assessment: 80% Final assessment: 20% This unit contains threshold hurdle requirements that you must achieve to be able to pass the unit. You are required to achieve at least 45% in the total continuous assessment component and at least 45% in the final assessment component. The consequence of not achieving a hurdle requirement is a fail grade (NH) and a maximum mark of 45 for the unit.

Assessment details may change. Please refer to the assessment information in Moodle closer to the start of the teaching period.

Requisites

Learning outcomes

1. Formulate and execute simple experiments that properly gather and record data.
2. Effectively use a range of computational tools, software packages, programming techniques and statistical methods to collect and ethically analyse and present quantitative data.
3. Discuss the use of simple models of materials engineering systems, construct such models using appropriate tools (including software), and use these models to draw appropriate conclusions from data.
4. Discuss theories of how teams operate and what it means to act responsibly and professionally in an engineering role.
5. Manage workload and communications effectively as a team member, and reflect on the effectiveness of a team's work during an extended project.
6. Apply standard management methods to allocate resources to an open-ended project and track project progress and quality.

Workload

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.

Student experience, not official rules. Nothing here changes what the Handbook says.