Note: This unit version is currently being edited and is subject to change!
ENGG3112: Interdisciplinary Engineering (2021 - Semester 2)
| Unit: | ENGG3112: Interdisciplinary Engineering (6 CP) |
| Mode: | |
| On Offer: | Yes |
| Level: | Intermediate |
| Faculty/School: | Faculty of Engineering |
| Unit Coordinator/s: |
Mullins, Alexandra
Goldfinch, Tom |
| Session options: | Semester 1, Semester 2 |
| Versions for this Unit: |
| Campus: | |
| Pre-Requisites: | Minimum of 84cp of engineering foundation/project/stream table units |
| Prohibitions: | ENGG2111. |
| Brief Handbook Description: | The Engineering Projects sequence is intended to develop students’ disciplinary and professional identity. The units will help students to understand how their field of engineering contributes to engineering and society more broadly. This will be achieved by providing opportunities to engage in authentic project-based learning within their technical domain, in the operational context of their technical domain, and finally, working across technical domains in a manner similar to that experienced in engineering practice. The units will also work together with the Professional Engagement Program to build students’ capacity for self-directed learning, an essential skill for graduates engaged in a complex, fast changing world. ENGG3112 will provide an opportunity for students to experience the interaction of different disciplines of engineering needed to deliver complex engineered systems. Students will work in multi-engineering-disciplinary teams to evaluate complex engineered systems in the context of contemporary global challenges, and put forward recommendations for change during semester-long project. The project will also have an emphasis on how engineering can contribute (positively and negatively) to complex global challenges. |
| Assumed Knowledge: | None. |
| Timetable: | ENGG3112 Timetable | |||||||||||||||||||||||||
| Time Commitment: |
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| T&L Activities: | The teaching component is designed to engage students productively in learning and working with others as well as contribute to the development of independent learning skills. Lectures, workshops, e-learning/online modules are scheduled throughout the semester. Students will complete collaborative tasks and assessments during workshops and in independent study, with all learning activities designed to help students make progress in assessable tasks. There are multiple opportunities for benchmarking, review and improvement of work on assignments. To pass the unit, students must complete all assignments, participate actively in all workshops, and work through online content and readings on Canvas. |
Learning outcomes are the key abilities and knowledge that will be assessed in this unit. They are listed according to the course goal supported by each. See Assessment Tab for details how each outcome is assessed.
(6) Communication and Inquiry/ Research (Level 3)
1. Effectively adapt communication convey engineering solutions for a range of contexts and audiences.
2. Use appropriate referencing systems and academic standards in formal written and oral communications.
(7) Project and Team Skills (Level 3)
3. Demonstrate leadership through own disciplinary contribution to a multidisciplinary team.
(8) Professional Effectiveness and Ethical Conduct (Level 3)
4. Demonstrate respect, commitment and professionalism in contributing to a team.
5. Demonstrate capacity for independent learning, decision making, and self management.
(5) Interdisciplinary, Inclusiveness, Influence (Level 3)
6. Independently identify and align work to applicable regulatory frameworks, standards, and community expectations
(2) Engineering/ IT Specialisation (Level 3)
7. Independently identify and apply appropriate fundamental concepts and methods to develop an engineering solution.
(3) Problem Solving and Inventiveness (Level 3)
8. Exercise critical thinking and sound judgement in the development of engineering solutions, considering design context, stakeholder perspectives, and multidisciplinary perspectives.
(1) Maths/ Science Methods and Tools (Level 3)
9. Effectively manage complexity and uncertainty through basic data-driven modelling and analysis of engineered systems and/or operational contexts.
| Assessment Methods: |
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| Assessment Description: |
Individual Assessments: 1) Research Brief (15%, week 3). A report detailing a global grand challenge impacting engineering. 2) Critical review and benchmark assessment (15%, week 9). A critique of another team’s preliminary recommendation for change. 3) Project debrief (15%, week 13) Group Assessments: 1) Team skills profile (teams of 6 with 2/3 disciplines in each), engineering company/technology profile, identification of specific engineering activities (mandatory, pass/fail). In this project stage, teams will assess their own capacity and areas of expertise, then identify an appropriate engineering company or entity upon which to focus their analysis and recommendation. 2) Analysis of engineering entity (company) or technology (15%, week 9). Detailed analysis of how the selected company will impact and be impacted by the chosen grand challenge. Presented at a faculty wide projects trade show to be assessed by lecturers, tutors, students, and industry professionals. 3) Final recommendation (30%, week 12). Extended written report. Self and peer assessment of team contributions: All group project assessments require you to review your performance and that of your team members using SPARKPLUS. Results from these reviews may be used to adjust individual group member marks to reflect individual contributions to the assessment task. Late penalties: Written work submitted after the due date/time will be considered to have been submitted late. For every calendar day up to and including ten calendar days after the due date, a penalty of 5% of the maximum awardable marks will be applied to late work. The penalty will be calculated by first marking the work, and then subtracting 5% of the maximum awardable mark for each calendar day after the due date. For work submitted more than ten calendar days after the due date a mark of zero will be awarded. There will be no late submissions allowed for SPARKPLUS assessments (self and peer review of team contribution and peer review of the technical research brief) or in class presentations. To pass this unit, students must complete all assessment tasks. Failure to do so will result in an overall final grade of 45 FA. |
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| Assessment Feedback: | Feedback on assessments will generally be returned within 2 semester weeks. Students are encouraged to use feedback on assessments to improve on subsequent assessment tasks. |
Note that the "Weeks" referred to in this Schedule are those of the official university semester calendar https://web.timetable.usyd.edu.au/calendar.jsp
| Week | Description |
| Week 1 | Lecture: Grand challenges and engineering. Interdisciplinary engineering, systems engineering, intro to the brief |
| Tutorial: Workshopping grand challenges. What are the engineering-related issues? | |
| Week 2 | Guest lectures on grand challenges - research perspectives. |
| Tutorial: Generating a research brief. Team formation. | |
| Week 3 | Lecture: Guest lectures on grand challenges - industry perspectives. |
| Tutorial: Peer review of draft research briefs. Disciplinary perspectives on the grand challenge. | |
| Assessment Due: Research Brief | |
| Week 4 | Lecture: Developing profiles - team and company/technology. Skills and attributes self assessment tools, developing an interdisciplinary team skills profile. Research approaches, and synthesising information. |
| Tutorial: Developing profiles - team and company/technology. Research approaches, information synthesis. | |
| Assessment Due: Team skills profile and company profile | |
| Week 5 | Lecture: Strategic analysis tools - SWOT, PEST, etc.. Integrating disciplinary knowledge and skills in data gathering. |
| Tutorial: Data gathering | |
| Week 6 | Lecture: Data driven decision making. Data gathering and analytics. Modeling and assessing future states. |
| Tutorial: Data analytics - methods and tools | |
| Week 7 | Lecture: Data driven decision making. Data gathering and analytics. Modeling and assessing future states (cont'd) |
| Tutorial: Data analytics - decision making | |
| Week 8 | Lecture: Integrating disciplinary knowledge and skills, making balanced and informed decisions |
| Tutorial: Summarising, presenting and communicating findings. Preparing your trade show pitch | |
| Week 9 | Other: Trade show (ENGG2112 & ENGG3112) no lectures or tutorials. |
| Assessment Due: Analysis of engineering company or technology | |
| Assessment Due: Critical review and benchmark assessment | |
| Week 10 | Tutorial: Trade show debriefing - interpreting reactions, feedback, and feeding forward. |
| Lecture: Turning analytics into action - Making a compelling case, influence and leadership. Impact roadmaps. | |
| Week 11 | Lecture: Guest lectures - leadership and impact through data modelling. |
| Tutorial: Draft recommendation peer review | |
| Week 12 | Lecture: Topic to be confirmed |
| Assessment Due: Final recommendation | |
| Week 13 | Lecture: Unit revision. Preparing your debrief - reflective writing, professional learning, critical review. |
| Assessment Due: Project Debrief |
Course Relations
The following is a list of courses which have added this Unit to their structure.
Course Goals
This unit contributes to the achievement of the following course goals:
| Attribute | Practiced | Assessed |
| (6) Communication and Inquiry/ Research (Level 3) | No | 14.25% |
| (7) Project and Team Skills (Level 3) | No | 4.5% |
| (8) Professional Effectiveness and Ethical Conduct (Level 3) | No | 24% |
| (5) Interdisciplinary, Inclusiveness, Influence (Level 3) | No | 14.25% |
| (4) Design (Level 3) | No | 0% |
| (2) Engineering/ IT Specialisation (Level 3) | No | 8% |
| (3) Problem Solving and Inventiveness (Level 3) | No | 21.5% |
| (1) Maths/ Science Methods and Tools (Level 3) | No | 13.5% |
These goals are selected from Engineering & IT Graduate Outcomes Table 2018 which defines overall goals for courses where this unit is primarily offered. See Engineering & IT Graduate Outcomes Table 2018 for details of the attributes and levels to be developed in the course as a whole. Percentage figures alongside each course goal provide a rough indication of their relative weighting in assessment for this unit. Note that not all goals are necessarily part of assessment. Some may be more about practice activity. See Learning outcomes for details of what is assessed in relation to each goal and Assessment for details of how the outcome is assessed. See Attributes for details of practice provided for each goal.
