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Unit of study_
ENGG2112: Multi-disciplinary Engineering
2025 unit information
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.
Unit details and rules
Managing faculty or University school:
Engineering
| Study level | Undergraduate |
|---|---|
| Academic unit | Engineering |
| Credit points | 6 |
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Prerequisites:
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(INFO1110 or INFO1910 or ENGG1810) and (MATH1005 or MATH1905 or MATH1062 or MATH1962 or MATH1972 or BUSS1020) and (AERO1560 or BMET1960 or CHNG1108 or CIVL1900 or ELEC1004 or ELEC1005 or ENVE1001 or MECH1560 or MTRX1701) |
|---|---|
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Corequisites:
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None |
| Prohibitions:
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ENGG1111 |
| Assumed knowledge:
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None |
At the completion of this unit, you should be able to:
- LO1. Articulate reasoning and justify creative solutions to an engineering problem solvable using machine learning.
- 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 machine learning models.
- LO5. Under guidance, identify and apply appropriate machine learning 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, community expectations and commercialization opportunities.
Unit availability
This section lists the session, attendance modes and locations the unit is available in. There is a unit outline for each of the unit availabilities, which gives you information about the unit including assessment details and a schedule of weekly activities.
The outline is published 2 weeks before the first day of teaching. You can look at previous outlines for a guide to the details of a unit.
| Session | MoA ? | Location | Outline ? |
|---|---|---|---|
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Semester 1 2025
|
Normal day | Camperdown/Darlington, Sydney |
Outline unavailable
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Semester 2 2025
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Normal day | Camperdown/Darlington, Sydney |
Outline unavailable
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Modes of attendance (MoA)
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