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Unit outline_

ENGG3112: Interdisciplinary Engineering

Semester 1, 2022 [Normal day] - Remote

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.

Unit details and rules

Academic unit Engineering
Credit points 6
Prerequisites
? 
Minimum of 84cp of engineering foundation/project/stream table units
Corequisites
? 
None
Prohibitions
? 
ENGG2111
Assumed knowledge
? 

None

Available to study abroad and exchange students

Yes

Teaching staff

Coordinator Benjy Marks, benjy.marks@sydney.edu.au
Lecturer(s) Benjy Marks, benjy.marks@sydney.edu.au
Tom Goldfinch, tom.goldfinch@sydney.edu.au
Type Description Weight Due Length
Assignment Stage 1: Ideation
Individual report detailing initial idea generation
15% Week 02
Due date: 04 Mar 2022 at 23:59
3 pages max.
Outcomes assessed: LO1 LO3 LO8
Assignment group assignment Stage 2: Concept evaluation and team skills analysis
Team report
10% Week 05
Due date: 25 Mar 2022 at 23:59
4 pages max
Outcomes assessed: LO1 LO4 LO3 LO2
Presentation group assignment Stage 3: System/concept design
Presentation at a trade show week 9. Concept summary due Thursday wk 8.
15% Week 08
Due date: 14 Apr 2022 at 23:59
2 hours.
Outcomes assessed: LO1 LO3 LO4 LO5 LO7 LO9
Assignment Peer Review of stage 3
Peer review of other teams' stage 3 submissions
5% Week 09
Due date: 29 Apr 2022 at 23:59
500 words
Outcomes assessed: LO1 LO3 LO9
Assignment group assignment Stage 4: Risk analysis and development plan
Written report on plan to take concept to implementation
30% Week 12
Due date: 20 May 2022 at 23:59
30 pages max + references/appendix
Outcomes assessed: LO1 LO2 LO3 LO4 LO5 LO6 LO7 LO8 LO9
Assignment Stage 5: Critical comparative review
A structured comparative review of Stage 4 outcomes
15% Week 13
Due date: 27 May 2022 at 23:59
3 pages
Outcomes assessed: LO1 LO2 LO3 LO4 LO6 LO8 LO9
Small continuous assessment Project progress marks
One assessable task during each tutorial
10% Weekly Evaluation during every tutorial.
Outcomes assessed: LO4 LO9 LO7 LO5
group assignment = group assignment ?

Assessment summary

  • To pass this unit, students must complete all assessment tasks. Failure to complete all assessment tasks may result in a maximum final result of 45 FA.

  • Students must pass the individual components of assessment overall. Failure to attain half of the possible 40% of marks in  individual assessments may result in a maximum final result of 45 FA.

  • Stage 1: Ideation (individual) - An individual report detailing your interpretation of the project brief and initial ideas for engineering solitions to the problems identified.

  • Stage 2: Concept evaluation and team skills analysis (group) - In Stage 2 you will form a team, collectively review the skills base that your team has and determine how this can be leveraged to address your selected project theme. You will illustrate this by critiquing ideas generated by individual team members in Stage 1 and determining the direction your project will take.

  • Stage 3: System/concept design (group, trade show) - Developing further the initial ideas generated by your team, you will put forward a concept design, system design, or policy/practice recommendation for external review in an online trade show event. Your design or recommendation will be reviewed by peers, staff and external contributors during the trade show. It should be supported by suitable short-form documentation (drawings, annotated diagrams, flow charts, presentation slides etc.), initial feasibility analysis, and preparedness among team members to address questions posed by staff and peers.

  • Stage 3 Peer Review: As part of the Stage 3 submission, you must peer review the documentation provided by 3 other teams. Your peer review will be marked by the tutor in accordance with the criteria below.

  • Stage 4: Risk analysis and development plan (group + individual) - Following feedback on your stage 3 submission you will have identified many of the limitations of your current ideas and have a better sense of what needs to be done next. In stage 4 you will develop a detailed written submission outlining a plan to take your proposal from concept to reality. This will involve timelines for work to be done, a detailed risk analysis, stakeholder management plans, and financial requirements.

  • Stage 5: Critical comparative review (individual) - A structured report critiquing your own team’s stage 4 submission by comparing it with those produced by other teams. The report will also include a personal reflection on how key concepts in the unit and skills you have learned elsewhere in your degree were implemented within your project.

Assessment criteria

See assessment rubrics in Canvas

For more information see guide to grades.

Late submission

In accordance with University policy, these penalties apply when written work is submitted after 11:59pm on the due date:

  • Deduction of 5% of the maximum mark for each calendar day after the due date.
  • After ten calendar days late, a mark of zero will be awarded.

This unit has an exception to the standard University policy or supplementary information has been provided by the unit coordinator. This information is displayed below:

Late penalties: 1. Written work submitted electronically after 11.59 pm on the due date will be considered to have been submitted late. 2. 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. 3. For work submitted more than ten calendar days after the due date a mark of zero will be awarded. 4. In general there will be no late submissions allowed for Self and Peer Review of team contribution (SPARKPLUS assessments), class preparation tasks and in-class assessment activities.

Academic integrity

The Current Student website provides information on academic integrity and the resources available to all students. The University expects students and staff to act ethically and honestly and will treat all allegations of academic integrity breaches seriously.

We use similarity detection software to detect potential instances of plagiarism or other forms of academic integrity breach. If such matches indicate evidence of plagiarism or other forms of academic integrity breaches, your teacher is required to report your work for further investigation.

Use of generative artificial intelligence (AI) and automated writing tools

You may only use generative AI and automated writing tools in assessment tasks if you are permitted to by your unit coordinator. If you do use these tools, you must acknowledge this in your work, either in a footnote or an acknowledgement section. The assessment instructions or unit outline will give guidance of the types of tools that are permitted and how the tools should be used.

Your final submitted work must be your own, original work. You must acknowledge any use of generative AI tools that have been used in the assessment, and any material that forms part of your submission must be appropriately referenced. For guidance on how to acknowledge the use of AI, please refer to the AI in Education Canvas site.

The unapproved use of these tools or unacknowledged use will be considered a breach of the Academic Integrity Policy and penalties may apply.

Studiosity is permitted unless otherwise indicated by the unit coordinator. The use of this service must be acknowledged in your submission as detailed on the Learning Hub’s Canvas page.

Outside assessment tasks, generative AI tools may be used to support your learning. The AI in Education Canvas site contains a number of productive ways that students are using AI to improve their learning.

Simple extensions

If you encounter a problem submitting your work on time, you may be able to apply for an extension of five calendar days through a simple extension.  The application process will be different depending on the type of assessment and extensions cannot be granted for some assessment types like exams.

Special consideration

If exceptional circumstances mean you can’t complete an assessment, you need consideration for a longer period of time, or if you have essential commitments which impact your performance in an assessment, you may be eligible for special consideration or special arrangements.

Special consideration applications will not be affected by a simple extension application.

Using AI responsibly

Co-created with students, AI in Education includes lots of helpful examples of how students use generative AI tools to support their learning. It explains how generative AI works, the different tools available and how to use them responsibly and productively.

WK Topic Learning activity Learning outcomes
Week 01 Unit intro, project brief review, learning style and outlook Lecture and tutorial (4 hr) LO1 LO3 LO6
Week 02 Defining and modelling the problem. Heuristics and ideation. Lecture and tutorial (4 hr) LO1 LO2 LO3 LO9
Week 03 Data gathering and decision support Lecture and tutorial (4 hr) LO4 LO5 LO9
Week 04 Researching context: Legal, policy, social, and environmental Lecture and tutorial (4 hr) LO2 LO3
Week 05 Context analysis - working with qualitative data Lecture and tutorial (4 hr) LO2 LO3
Week 06 Concept modeling and development, requirements analysis Lecture and tutorial (4 hr) LO1 LO2 LO3
Week 07 Concept modeling and development (cont'd), trade show preparation Lecture and tutorial (4 hr) LO1 LO2 LO4 LO5 LO7 LO9
Week 09 Online trade show presentations (both lecture timeslots) Presentation (4 hr) LO1 LO2 LO3 LO4 LO5 LO7 LO9
Project planning - timelines and cost estimation Lecture and tutorial (4 hr) LO3 LO4 LO6 LO9
Week 10 Project planning - stakeholder management Lecture and tutorial (4 hr) LO3
Week 11 Risk engineering Lecture and tutorial (4 hr) LO2 LO3 LO6
Week 12 Risk engineering (cont'd) Lecture and tutorial (4 hr) LO2 LO3 LO6 LO9
Week 13 Semester debriefing and peer review Lecture and tutorial (3 hr) LO1 LO2 LO3 LO4 LO6 LO8 LO9

Attendance and class requirements

All classes are designed to assist students with the project. Failure to attend classes will impact your progress and will be taken into consideration in any mark appeals.

Study commitment

Typically, there is a minimum expectation of 1.5-2 hours of student effort per week per credit point for units of study offered over a full semester. For a 6 credit point unit, this equates to roughly 120-150 hours of student effort in total.

Learning outcomes are what students know, understand and are able to do on completion of a unit of study. They are aligned with the University's graduate qualities and are assessed as part of the curriculum.

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

  • LO1. Independently identify and apply appropriate fundamental concepts and methods to develop an engineering solution.
  • LO2. Effectively manage complexity and uncertainty through basic data-driven modelling and analysis of engineered systems and/or operational contexts.
  • LO3. Exercise critical thinking and sound judgement in the development of engineering solutions, considering design context, stakeholder perspectives and multidisciplinary perspectives.
  • LO4. Demonstrate leadership through own disciplinary contribution to a multidisciplinary team.
  • LO5. Demonstrate respect, commitment and professionalism in contributing to a team.
  • LO6. Independently identify and align work to applicable regulatory frameworks, standards and community expectations.
  • LO7. Effectively adapt communication to convey engineering solutions in a range of contexts and audiences.
  • LO8. Use appropriate referencing systems and academic standards in formal written and oral communications.
  • LO9. Demonstrate capacity for independent learning, decision making and self management.

Graduate qualities

The graduate qualities are the qualities and skills that all University of Sydney graduates must demonstrate on successful completion of an award course. As a future Sydney graduate, the set of qualities have been designed to equip you for the contemporary world.

GQ1 Depth of disciplinary expertise

Deep disciplinary expertise is the ability to integrate and rigorously apply knowledge, understanding and skills of a recognised discipline defined by scholarly activity, as well as familiarity with evolving practice of the discipline.

GQ2 Critical thinking and problem solving

Critical thinking and problem solving are the questioning of ideas, evidence and assumptions in order to propose and evaluate hypotheses or alternative arguments before formulating a conclusion or a solution to an identified problem.

GQ3 Oral and written communication

Effective communication, in both oral and written form, is the clear exchange of meaning in a manner that is appropriate to audience and context.

GQ4 Information and digital literacy

Information and digital literacy is the ability to locate, interpret, evaluate, manage, adapt, integrate, create and convey information using appropriate resources, tools and strategies.

GQ5 Inventiveness

Generating novel ideas and solutions.

GQ6 Cultural competence

Cultural Competence is the ability to actively, ethically, respectfully, and successfully engage across and between cultures. In the Australian context, this includes and celebrates Aboriginal and Torres Strait Islander cultures, knowledge systems, and a mature understanding of contemporary issues.

GQ7 Interdisciplinary effectiveness

Interdisciplinary effectiveness is the integration and synthesis of multiple viewpoints and practices, working effectively across disciplinary boundaries.

GQ8 Integrated professional, ethical, and personal identity

An integrated professional, ethical and personal identity is understanding the interaction between one’s personal and professional selves in an ethical context.

GQ9 Influence

Engaging others in a process, idea or vision.

Outcome map

Learning outcomes Graduate qualities
GQ1 GQ2 GQ3 GQ4 GQ5 GQ6 GQ7 GQ8 GQ9

This section outlines changes made to this unit following staff and student reviews.

This is a new unit of study for the 2021 Bachelor of Engineering program. Implementation has been brought forward by 2 years to replace the 2cp Integrated Engineering units which are part of of the 2016 Bachelor of Engineering program. Following the first delivery of the unit in semester 1, we have made some adjustments to the assessment schedule, including: 1) Moving concept development work earlier in semester. 2) Replacing the final exam with a final individual assignment which will be supported through learning activities in the final week of semester. 3) Introducing more guidance on the structure and format of assessment submissions to make content requirements clearer. We are continuing with the popular real-world project format and online trade shows from semester 1.

Disclaimer

The University reserves the right to amend units of study or no longer offer certain units, including where there are low enrolment numbers.

To help you understand common terms that we use at the University, we offer an online glossary.