ENGG5217: Intensive July - August, 2026

Units ENGG5217 Intensive July - August 2026 [Professional practice]

Unit outline_

ENGG5217: Practical Experience

Intensive July - August, 2026 [Professional practice] - Camperdown/Darlington, Sydney

Overview

The 3 year MPE requires students to obtain industrial work experience of twelve weeks duration (420 working hours) or its equivalent towards satisfying the requirements for award of the degree. Students can undertake their work experience in the final half of the MPE program. Students may have prior work in an Engineering field carried out on completion of their undergraduate degree accepted as meeting the requirements of this component. Students must be exposed to professional engineering practice to enable them to develop an engineering approach and ethos, and to gain an appreciation of engineering ethics. The student is required to seek approval from the Faculty of any work arrangements by completing a number of forms in the online system called SONIA. Assessment in this unit is by the submission of a portfolio containing written reports on the involvement with industry and other professional experience activities, submitted via SONIA. For details of the approval and reporting requirements, go to the faculty's Practical Experience canvas site https://canvas.sydney.edu.au/courses/53854

Unit details and rules

Academic unit	Engineering
Credit points	0
Prerequisites ?	None
Corequisites ?	None
Prohibitions ?	ENGP1000 or ENGP2000 or ENGP3000 or ENGG4000 or CHNG5205 or AMME5010 or BMET5010 or CIVL5010 or ELEC5010
Assumed knowledge ?	None
Available to study abroad and exchange students	No

Teaching staff

Coordinator	Teng Joon Lim, tj.lim@sydney.edu.au

Assessment

The census date for this unit availability is 7 August 2026

Details
Criteria

Type	Description	Weight	Due	Length	Use of AI
Peer or expert observation or supervision	Practical Experience Application Complete the online form in Sonia using the instructions in canvas.	10%	Week -04	-	AI limited - refer to Canvas
Outcomes assessed:
Peer or expert observation or supervision	Professional Practice Portfolio submit logbook, practical experience certificate and report to Sonia	90%	Week 04	multiple components	AI limited - refer to Canvas
Outcomes assessed:
= hurdle task ?

Assessment summary

Students must submit the following:

A practical experience application – must be submitted for approval 4 weeks prior to your internship job commencing. Any hours worked prior to obtaining approval will not count towards your course requirements
A professional practice portfolio – consisting of your logbook, practice experience certificate (from Sonia), and your practice experience report. Follow the instructions on canvas.

Assessment criteria

This unit is assessed as satisfactory / unsatisfactory

For more information see guide to grades.

Use of generative artificial intelligence (AI)

You can use generative AI tools for open assessments. Restrictions on AI use apply to secure, supervised assessments used to confirm if students have met specific learning outcomes.

Refer to the assessment table above to see if AI is allowed, for assessments in this unit and check Canvas for full instructions on assessment tasks and AI use.

If you use AI, you must always acknowledge it. Misusing AI may lead to a breach of the Academic Integrity Policy.

Visit the Current Students website for more information on AI in assessments, including details on how to acknowledge its use.

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 University expects students to act ethically and honestly and will treat all allegations of academic integrity breaches seriously.

Our website provides information on academic integrity and the resources available to all students. This includes advice on how to avoid common breaches of academic integrity. Ensure that you have completed the Academic Honesty Education Module (AHEM) which is mandatory for all commencing coursework students

Penalties for serious breaches can significantly impact your studies and your career after graduation. It is important that you speak with your unit coordinator if you need help with completing assessments.

Visit the Current Students website for more information on AI in assessments, including details on how to acknowledge its use.

Learning support

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.

Weekly schedule

WK	Topic	Learning activity
Pre-semester	BEFORE PRACTICAL EXPERIENCE: Prior to enrolling in this unit, you will need to: 1. Satisfy the pre-requisites 2. Find a suitable internship job 3. Obtain faculty approval for the job	Self-directed learning (10 hr)
Week 01	DURING PRACTICAL EXPERIENCE: Only once your job has been approved can you commence working. Enrol in the appropriate intensive session to align your job completion with the intensive unit period. During your job, you must keep a log book of activities which must be submitted online.	Placement (420 hr)
Week 04	AFTER PRACTICAL EXPERIENCE: Write your practical experience report following the requirements in canvas. Submit your logbook, practical experience certificate (from Sonia) and your report as per the instructions in canvas. Allow up to 4 weeks to receive your grade.	Self-directed learning (20 hr)

Attendance and class requirements

Study commitment: Employment in an approved relevant engineering industry for 12 weeks full-time (420 hours). This work should be organised to be undertaken in the breaks between semester as a single 12-week block of time. Approval may be given in exceptional circumstances for multiple smaller blocks. Pathway B allows different weighting for other activities.

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.

Learning outcomes

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.

Outcomes
Graduate qualities

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

LO1. Propose an engineering intern job for faculty approval that meets the required criteria
LO2. Experience a faculty approved engineering internship job for a total of 420 hours (12 weeks full-time)
LO3. Document your engineering internship job using a logbook
LO4. Analyse and evaluate your learning from your engineering internship job in a clearly written reflective report
LO5. Relate knowledge and experience gained during formal study to engineering practice, assessing gaps and making recommendations for improvements

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
Learning outcomes

Responding to student feedback

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

Information on the student portal has been rationalised and re-organised for ease of understanding

Additional information

Canvas course for ENGG5217

Disclaimer

Important: the University of Sydney regularly reviews units of study and reserves the right to change the units of study available annually. To stay up to date on available study options, including unit of study details and availability, refer to the relevant handbook.

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

Current students

Overview

Overview

Unit details and rules

Teaching staff

Assessment

Assessment

Assessment summary

Assessment criteria

Use of generative artificial intelligence (AI)

Late submission

Academic integrity

Learning support

Learning support

Simple extensions

Special consideration

Using AI responsibly

Weekly schedule

Weekly schedule

Attendance and class requirements

Study commitment

Learning outcomes

Learning outcomes

Graduate qualities

Outcome map

Responding to student feedback

Responding to student feedback

Additional information

Additional information

Disclaimer

On this page

Useful links