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HE Unit Template
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Smart Engineering Technologies
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ENGPG9407 - Smart Engineering Technologies
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20260200
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3.1
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2026-06-16
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2026-06-16
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Engineering
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Institute of Innovation, Science & Sustainability
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Engineering
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Postgraduate - Coursework
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15
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.125
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030303
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Mining Engineering
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<a href="http://www.federation.edu.au/locate/unit/engpg9407">030303 - Mining Engineering</a>
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Graded (e.g. HD, D, C, etc)
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9
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Masters Degree
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Introductory
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<p>The unit introduces key technologies essential for modern engineering practices. These include modern tunneling technologies, sensor technologies, industrial robots, data analytics, and artificial intelligence. The unit aims to prepare students to become the engineering and applied science professionals of tomorrow.</p>
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<p>Topics may include:<br>
1. Tunnelling by drilling and blasting.<br>
2. Mechanised tunnelling.<br>
3. Sensor technologies.<br>
4. Industrial robots.<br>
5. Data analytics.<br>
6. Artificial intelligence.</p>
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<p>Where supplementary assessment is available a student must have failed overall in the Unit but gained a final mark of 45 per cent or above, has completed all major assessment tasks (including all sub-components where a task has multiple parts) as specified in the Unit Description and is not eligible for any other form of supplementary assessment.</p>
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Overview
Key information
Requisites
Learning outcomes
Assessment
Parent Region
Overview
Unit description
<p>The unit introduces key technologies essential for modern engineering practices. These include modern tunneling technologies, sensor technologies, industrial robots, data analytics, and artificial intelligence. The unit aims to prepare students to become the engineering and applied science professionals of tomorrow.</p>
Unit content
<p>Topics may include:<br> 1. Tunnelling by drilling and blasting.<br> 2. Mechanised tunnelling.<br> 3. Sensor technologies.<br> 4. Industrial robots.<br> 5. Data analytics.<br> 6. Artificial intelligence.</p>
Key information
Institute / school:
Institute of Innovation, Science & Sustainability
Discipline:
Engineering
Study level:
Postgraduate - Coursework
Credit points:
15
EFTSL:
0.125
Field of education:
<a href="http://www.federation.edu.au/locate/unit/engpg9407">030303 - Mining Engineering</a>
Offering:
<p><strong>Semester 2</strong><p>Ballarat - Mt Helen (On Campus)</p><p>On-line Learning (Online)</p></p>
Grade scheme:
Graded (e.g. HD, D, C, etc)
Placement component:
No
Requisites
Prerequisite
<p>must have completed <a href="/ords/r/dev/fed_occ/course?p6_code=ENGRG3403" target="_blank">ENGRG3403</a> OR must be undertaking EZ9.MIN Master of Engineering Technology (Mining)</p>
Corequisite
None
Exclusion
<p>must not have completed <a href="/ords/r/dev/fed_occ/course?p6_code=ENGRG9401" target="_blank">ENGRG9401</a></p>
Learning outcomes
Learning outcomes
<p>On successful completion of this unit, students are expected to gain the following [K]nowledge, [S]kills and [A]pplication of knowledge & skills</p>
Learning Outcomes
Ref
Outcome
K1
<p>Explain shaft sinking and tunnelling by drilling and blasting method.</p>
K2
<p>Describe mechanised tunnelling method.</p>
K3
<p>Identify sensoring technologies for engineering application.</p>
K4
<p>Observe engineering applications of robots.</p>
K5
<p>Recognise engineering applications of data analytics.</p>
K6
<p>Review engineering applications of artificial intelligence.</p>
S1
<p>Select appropriate tunnelling method for applications in mining and civil engineering.</p>
S2
<p>Analyse tunnelling projects and provide solutions to complex underground tunnelling problems.</p>
S3
<p>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.</p>
A1
<p>Evaluate, plan, and implement a tunnelling system for a project.</p>
A2
<p>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.</p>
Assessment
Learning Tasks and Assessment
Ref
Learning task
Assessment type
Weighting
Learning outcomes assessed
1
<p>Numerical and conceptual tasks</p>
<p>Assignments</p>
<p>15-30%</p>
K1, K2, S1, S2, S3, A1
2
<p>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.</p>
<p>Reports</p>
<p>70-85%</p>
K3, K4, K5, K6, A2
Supplementary assessment available:
Yes
Supplimentary assessment information:
<p>Where supplementary assessment is available a student must have failed overall in the Unit but gained a final mark of 45 per cent or above, has completed all major assessment tasks (including all sub-components where a task has multiple parts) as specified in the Unit Description and is not eligible for any other form of supplementary assessment.</p>
Key information
Institute / school:
Institute of Innovation, Science & Sustainability
Discipline:
Engineering
Study level:
Postgraduate - Coursework
Credit points:
15
EFTSL:
0.125
Field of education:
<a href="http://www.federation.edu.au/locate/unit/engpg9407">030303 - Mining Engineering</a>
Offering:
<p><strong>Semester 2</strong><p>Ballarat - Mt Helen (On Campus)</p><p>On-line Learning (Online)</p></p>
Grade scheme:
Graded (e.g. HD, D, C, etc)
Placement component:
No
Disclaimer
<em>Information in the Federation Handbook is correct at the time of publication. The University reserves the right to alter any course, unit, procedure or fee.</em>
Additional information
Add Info Static Text
Internal reference: ENGPG9407 - U3.1