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Unit outline_

ELEC4714: Major Industrial Project

Semester 1, 2022 [Supervision] - Remote

Students spend 6 months at an industrial placement working on a major engineering project relevant to their engineering stream. This is a 24 credit point unit, which may be undertaken as an alternative to ELEC4712/4713 Thesis A and B, and two recommended electives. This unit of study gives students experience in carrying out a major project within an industrial environment, and in preparing and presenting detailed technical reports (both oral and written) on their work. The project is carried out under joint University/industry supervision, with the student essentially being engaged full time on the project at the industrial site.

Unit details and rules

Academic unit School of Electrical and Computer Engineering
Credit points 24
Prerequisites
? 
[36 cp of 3000- or higher level BE units of study] and WAM >= 70
Corequisites
? 
None
Prohibitions
? 
ELEC4710 OR ELEC4711 OR ELEC4712 OR ELEC4713 OR ENGG4000
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
Participation Participation
Project management
20% Progressive N/A
Outcomes assessed: LO7 LO10 LO9 LO8
Presentation Presentation/Seminar
Seminar style presentation
20% STUVAC N/A
Outcomes assessed: LO2 LO6
Honours thesis Thesis
Final treatise
60% Week 13 N/A
Outcomes assessed: LO1 LO2 LO3 LO4 LO5 LO7 LO8 LO9 LO10

Assessment summary

  • This UoS is for students doing a semester long industrial project with an industrial partner. UoS has entry requirements and the number of places depend on the available projects from the industrial partners. Selection for the available places is done by industrial partners. In addition to the assessments at the University described here, industrial partner usually has separate deadlines and presentation requirements.

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
Week 01 Project work at an industrial site Field trip (37 hr)  
Week 02 Project work at an industrial site Field trip (37 hr)  
Week 03 Project work at an industrial site Field trip (37 hr)  
Week 04 Project work at an industrial site Field trip (37 hr)  
Week 05 Project work at an industrial site Field trip (37 hr)  
Week 06 Project work at an industrial site Field trip (37 hr)  
Week 07 Project work at an industrial site Field trip (37 hr)  
Week 08 Project work at an industrial site Field trip (37 hr)  
Week 09 Project work at an industrial site Field trip (37 hr)  
Week 10 Project work at an industrial site Field trip (37 hr)  
Week 11 Project work at an industrial site Field trip (37 hr)  
Week 12 Project work at an industrial site Field trip (37 hr)  
Week 13 Project work at an industrial site Field trip (37 hr)  

Attendance and class requirements

Practical experience: Students will be required to commit 37 hours per week for 26 weeks to project work at an industrial worksite.

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 24 credit point unit, this equates to roughly 480-600 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. critically analyse results and findings and to contribute original insights to the investigation
  • LO2. develop in depth technical knowledge of engineering processes related to the project
  • LO3. interpret results in relation to existing knowledge
  • LO4. undertake a literature review and to critically examine published data and findings
  • LO5. produce a large professional quality engineering report
  • LO6. demonstrate oral presentation skills
  • LO7. set objectives and organise a program of work, and to complete the work within the required time frame and specifications
  • LO8. demonstrate an understanding of the role of engineers in the workplace, the management structure of engineering firms, and their role in society
  • LO9. demonstrate an understanding of engineering, OH&S and project management practices
  • LO10. communicate and work cooperatively with others.

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.