Skip to main content

During 2021 we will continue to support students who need to study remotely due to the ongoing impacts of COVID-19 and travel restrictions. Make sure you check the location code when selecting a unit outline or choosing your units of study in Sydney Student. Find out more about what these codes mean. Both remote and on-campus locations have the same learning activities and assessments, however teaching staff may vary. More information about face-to-face teaching and assessment arrangements for each unit will be provided on Canvas.

Unit of study_

ENGG2112: Multi-disciplinary Engineering

ENGG2112 provides an introduction to the context of engineering practice and how engineers engage with other professions in concept development, analysis, and planning. Students are introduced to basic concepts in data science used by engineers to understand problems, support decision making, and run systems. Students will then work within teams to address components of a complex multi-disciplinary project relevant to their chosen engineering stream. In the process, students will consider the influence of contextual factors such as regulatory frameworks, economics, and societal expectations. In doing so, student teams will draw from various fields such as economics, law, business, and the social sciences as they complete the project.

Code ENGG2112
Academic unit Engineering
Credit points 6
Minimum of 42 cp of engineering foundation/project/stream units of study including one of (AERO1560 or BMET1960 or CHNG1108 or CIVL1900 or ELEC1004 or ELEC1005 or MECH1560 or MTRX1701)

At the completion of this unit, you should be able to:

  • LO1. Articulate reasoning and justify creative solutions to complex engineering problems/opportunities for a knowledgeable audience.
  • LO2. Find and interpret information autonomously and demonstrate capacity for independent learning.
  • LO3. Apply basic project management techniques to manage self and others in a team, and to plan an engineering solution.
  • LO4. Analyze and manipulate medium-scale datasets to extract meaningful messages.
  • LO5. Under guidance, identify and apply appropriate fundamental concepts and methods to develop an engineering solution.
  • LO6. Understand how data is stored, interpreted and processed for engineering applications.
  • LO7. Appreciate the context of data-driven engineering solutions, including applicable regulatory frameworks, standards and community expectations.

Unit outlines

Unit outlines will be available 2 weeks before the first day of teaching for the relevant session.

There are no unit outlines available online for previous years.