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Unit outline_

ELEC4710: Engineering Project A

Semester 2, 2022 [Supervision] - Remote

Students will work individually or in groups on an assigned project for the Semester. The concepts covered depend on the nature of the project, but broadly cover research and inquiry, and information literacy. While recognising that some projects can be interdisciplinary in nature, it is the normal expectation that the students would do the project in their chosen area of specialisation, i. e. Power Engineering, Telecommunications Engineering, Computer Engineering, and Software Engineering students would do projects in the general area of Power, Telecommunications, Computer, and Software respectively. This unit of study builds on the technical competencies introduced in the previous years. The project work is spread over two units (Engineering Project A and B). In Engineering Project A, students are required to plan and begin work on their project and roughly complete half the work required for the whole 'final year' project. In particular, it should include almost all the planning, literature review, and a significant proportion of the experimental or analytical work required of the project. The student will prepare a Progress Report at the end of semester detailing the context of the problem, relevant background research and progress to date. The progress at the end of Engineering Project A will be evaluated by the supervisor based on the thoroughness of the proposed program and the progress achieved during the semester. The student can only progress to Engineering Project B on attainment of a satisfactory result in Engineering Project A. In Engineering Project B, the students are required to complete the remaining aspects of the project, present their results to their peers and academic staff in a seminar format, and prepare and submit a detailed Treatise. The final grade is based on the work done in both Engineering Project A and B, and will be awarded upon successful completion of Engineering Project B.

Unit details and rules

Academic unit School of Electrical and Computer Engineering
Credit points 6
Prerequisites
? 
36 cp of 3000- or higher level BE units of study
Corequisites
? 
None
Prohibitions
? 
None
Assumed knowledge
? 

None

Available to study abroad and exchange students

No

Teaching staff

Coordinator Yash Shrivastava, yash.shrivastava@sydney.edu.au
Type Description Weight Due Length
Presentation Presentation/seminar
Seminar style presentation at the end of second second semester.
20% Ongoing n/a
Outcomes assessed: LO1 LO5 LO3
Participation Participation
Project management marks awarded at the end of second semester.
20% Ongoing n/a
Outcomes assessed: LO7
Honours thesis Thesis
Final treatise due at the end of second semester.
60% Ongoing n/a
Outcomes assessed: LO2 LO3 LO4 LO5 LO6 LO7
Assignment hurdle task Proposal
Project proposal
0% Week 04
Due date: 28 Aug 2022 at 23:59
n/a
Outcomes assessed: LO2 LO7
Assignment hurdle task Progress report
Progress report at the end of first semester.
0% Week 13
Due date: 06 Nov 2022 at 23:59
n/a
Outcomes assessed: LO2 LO4 LO5 LO7
hurdle task = hurdle task ?

Assessment summary

Detailed information for each assessment can be found on Canvas.

Assessment criteria

The University awards common result grades, set out in the Coursework Policy 2014 (Schedule 1).

As a general guide, a high distinction indicates work of an exceptional standard, a distinction a very high standard, a credit a good standard, and a pass an acceptable standard.

Result name

Mark range

Description

High distinction

85 - 100

 

Distinction

75 - 84

 

Credit

65 - 74

 

Pass

50 - 64

 

Fail

0 - 49

When you don’t meet the learning outcomes of the unit to a satisfactory standard.

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.

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

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. deliver a technical presentation that is clear, confident and engaging to an academic audience.
  • LO2. document and report project work undertaken in a professional format with appropriate referencing
  • LO3. analyse data, draw appropriate conclusions and present those conclusions in context, with due consideration of methods and assumptions involved
  • LO4. formulate an appropriate method for investigating a specific engineering question
  • LO5. demonstrate an in-depth knowledge of a specialised area within the discipline
  • LO6. employ originality, ingenuity and initiative in dealing with critical engineering issues
  • LO7. formulate and plan a personal project investigating an engineering problem

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.

No significant changes have been made to this unit.

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.