| Effective Term: | 2024/20 |
| Institute / School : | Institute of Innovation, Science & Sustainability |
| Unit Title: | Smart Engineering Technologies |
| Unit ID: | ENGIN5508 |
| Credit Points: | 15.00 |
| Prerequisite(s): | (ENGIN3001) |
| Co-requisite(s): | Nil |
| Exclusion(s): | Nil |
| ASCED: | 030303 |
| Other Change: | |
| Brief description of the Unit |
ENGIN5508 SMART ENGINEERING TECHNOLOGIES introduces some technologies demanded in modern engineering practices, including, but not limited to, modern tunnelling technologies, sensor technologies, industrial robots, data analytics and artificial intelligence. It aims to enable the students ready for tomorrow's professionals in engineering and applied science. |
| Grade Scheme: | Graded (HD, D, C, P, MF, F, XF) |
| Work Experience Indicator: |
| No work experience |
| Placement Component: | |
| Supplementary Assessment:No |
| Supplementary assessment is not available to students who gain a fail in this Unit. |
| Course Level: |
| Level of Unit in Course | AQF Level(s) of Course | | 5 | 6 | 7 | 8 | 9 | 10 | | Introductory | | | | |  | | | Intermediate | | | | | | | | Advanced | | | | | | |
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| Learning Outcomes: |
| Knowledge: |
| K1. | Explain shaft sinking and tunnelling by drilling and blasting method. |
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| K2. | Describe mechanised tunnelling method. |
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| K3. | Identify sensoring technologies for engineering application. |
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| K4. | Observe engineering applications of robots. |
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| K5. | Recognise engineering applications of data analytics. |
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| K6. | Review engineering applications of artificial intelligence. |
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| Skills: |
| S1. | Select appropriate tunnelling method for applications in mining and civil engineering. |
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| S2. | Analyse tunnelling projects and provide solutions to complex underground tunnelling problems. |
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| S3. | Investigate emerging technologies for engineering applications to improve performance, including, but not limited to, new tunnelling technologies, sensor technologies, industrial robots, data analytics and artificial intelligence. |
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| Application of knowledge and skills: |
| A1. | Evaluate, plan, and implement a tunnelling system for a project. |
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| A2. | Apply emerging technologies for engineering applications to improve performance, including, but not limited to, new tunnelling technologies, sensor technologies, industrial robots, data analytics and artificial intelligence. |
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| Unit Content: |
Topics may include:
1. Tunnelling by drilling and blasting.
2. Mechanised tunnelling.
3. Sensor technologies.
4. Industrial robots.
5. Data analytics.
6. Artificial intelligence. |
| Graduate Attributes: |
| | Learning Outcomes Assessed | Assessment Tasks | Assessment Type | Weighting | | 1. | K1-2, S1-2, A1 | Numerical and conceptual tasks | Assignments | 15-30% | | 2. | K3-6, S3, A2 | Up to three projects covering tunnelling technologies, sensor technologies, industrial robots, data analytics or artificial intelligence, or other emerging technologies specified by the unit coordinator. | Reports | 70-85% |
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