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 … For more content click the Read More button below. 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 skillsaspects 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.

Offerings

S1-01-CLAYTON-ON-CAMPUS

Rules

Enrolment Rule

Contacts

Chief Examiner(s)

Professor Nikhil Medhekar

Unit Coordinator(s)

Professor Nikhil Medhekar

Learning outcomes

On successful completion of this unit, you should be able to:
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.

Teaching approach

Problem-based learning
Active learning

Assessment summary

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

1 - Individual assignments
2 - Major project: Team proposal
3 - Major project: Journal and interview
4 - Major project: Team final report
5 - Final assessment

Supplementary assessment

Supplementary assessment is not available if a specific assessment in this unit is failed. Check the supplementary assessments page for details about exemptions.

Scheduled and non-scheduled teaching activities

Practical activities
Workshops

Workload requirements

Workload

Other unit costs

The following items are mandatory for practical aspects of the unit and should be purchased at your own cost as you will be reusing them throughout your course.

  • Calculator
  • Protective clothing and equipment:
    - Laboratory coat (Approximately AUD35 to AUD55)
    - Safety glasses (Approximately AUD8)
    - Laboratory-appropriate enclosed footwear (Non-porous material, equipped with non-absorbent, slip-resistant soles)

Costs are indicative only.

Availability in areas of study

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