Outline

Overview

This unit offers you an exciting opportunity to demonstrate and build your knowledge and science skills by working with an industry partner. During this extended placement you may be involved in a variety of different industry and client-based projects, which will offer you the opportunity to apply science skills and theories from your course. This will provide you with firsthand experience of how these skills and theories can support the solving of scientific problems in a practical and commercial context, identifying opportunities, developing strategies and designing processes, procedures and management practices in order to help an organisation realise its competitive potential. Assessment in the unit is structured around a reflective journal kept during the placement with a summary submitted at the end, alongside a final presentation which allows you to demonstrate your ability to apply and synthesise concepts in a professional setting.

Unit details and rules

Academic unit	Science Faculty
Credit points	6
Prerequisites ?	A WAM of 65 or greater and a minimum of 48 credit points
Corequisites ?	None
Prohibitions ?	WILS2001
Assumed knowledge ?	None
Available to study abroad and exchange students	No

Teaching staff

Coordinator	Haryana Dhillon, haryana.dhillon@sydney.edu.au
Tutor(s)	Haryana Dhillon, haryana.dhillon@sydney.edu.au

Assessment

The census date for this unit availability is 31 March 2025

Details
Criteria

Type	Description	Weight	Due	Length
Placement	Attendance at placement record a reflective diary during placement	0%	Ongoing	around 200 hours (placement dependent)
Outcomes assessed:
Assignment	Progress review Brief set of on-line questions	0%	Progressive Due date: 31 Jan 2024 at 23:59 Closing date: 31 Jan 2024	15 minutes
Outcomes assessed:
Presentation	Post-placement seminar presentation presentation to a non-specialist audience Submit pdf of slides to canvas	0%	Week 09 Due date: 01 Mar 2024 at 23:59 Closing date: 01 Mar 2024	20 minutes
Outcomes assessed:
Assignment	Summary of reflective journal brief post-placement summary of the reflective journal	0%	Week 09 Due date: 01 Mar 2024 at 23:59 Closing date: 01 Mar 2024	500 words
Outcomes assessed:

Early feedback task

This unit includes an early feedback task, designed to give you feedback prior to the census date for this unit. Details are provided in the Canvas site and your result will be recorded in your Marks page. It is important that you actively engage with this task so that the University can support you to be successful in this unit.

Assessment summary

There are 4 elements of assessment, but they centre around 2 things - a reflective journal and a final presentation.

You will be required to keep a reﬂective journal in canvas to develop and support your understanding of the experience as it occurs. Using this reflective journal, you will need to complete:

a brief mid-placement review consisting of 6 on-line questions, asking you to take a moment to check how your knowledge and skills are progressing,
a brief post-placement summary of the reﬂective journal

Finally,

you will also present a brief post-placement seminar presentation to a non-specialist audience.
A pdf of the slides from the presentation.

Assessment criteria

A final result for the unit will be returned as a grade only - SR = satisfied requirements, or FR = failed requirements. These assessment requirements should be completed by the end of Stuvac in the current semester.

For more information see guide to grades.

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

Except for supervised exams or in-semester tests, you may use generative AI and automated writing tools in assessments unless expressly prohibited by your unit coordinator.

For exams and in-semester tests, the use of AI and automated writing tools is not allowed unless expressly permitted in the assessment instructions.

The icons in the assessment table above indicate whether AI is allowed – whether full AI, or only some AI (the latter is referred to as “AI restricted”). If no icon is shown, AI use is not permitted at all for the task. Refer to Canvas for full instructions on assessment tasks for this unit.

Your final submission must be your own, original work. You must acknowledge any use of automated writing tools or generative AI, and any material generated that you include in your final submission must be properly referenced. You may be required to submit generative AI inputs and outputs that you used during your assessment process, or drafts of your original work. Inappropriate use of generative AI is considered a breach of the Academic Integrity Policy and penalties may apply.

The Current Students website provides information on artificial intelligence in assessments. For help on how to correctly acknowledge the use of AI, please refer to the  AI in Education Canvas site.

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.

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.

Support for students

The Support for Students Policy reflects the University’s commitment to supporting students in their academic journey and making the University safe for students. It is important that you read and understand this policy so that you are familiar with the range of support services available to you and understand how to engage with them.

The University uses email as its primary source of communication with students who need support under the Support for Students Policy. Make sure you check your University email regularly and respond to any communications received from the University.

Learning resources and detailed information about weekly assessment and learning activities can be accessed via Canvas. It is essential that you visit your unit of study Canvas site to ensure you are up to date with all of your tasks.

If you are having difficulties completing your studies, or are feeling unsure about your progress, we are here to help. You can access the support services offered by the University at any time:

Support and Services (including health and wellbeing services, financial support and learning support)
Course planning and administration
Meet with an Academic Adviser

Weekly schedule

WK	Topic	Learning activity	Learning outcomes
Ongoing	Multiple week placement with the structure determined by the industry partner. Approximate number of hours is a minimum.	Project (200 hr)

Attendance and class requirements

You are required to attend the placement site or work remotely, as agreed with your placement supervisor, for the period of the project.

Supervisor must sign off on placement completion and provide feedback on performance

Reflective journal of placement must be recorded and summary submitted

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.

Required readings

There are no specific prescribed readings for this unit.

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. apply scientific concepts and knowledge, possibly from a range of disciplines, to contribute to projects and/or problems for the industry partner company
LO2. find and analyse information and/or data necessary for a task and judge its reliability and significance
LO3. understand and apply the principles of scientific measurement or analysis necessary to gather data for a task
LO4. organise and communicate scientific and technical information appropriately through day-to-day interactions and oral and written reporting
LO5. engage in team and group work in pursuing the objectives of an industry partner/company; develop and apply skills in collaboration, team work and communication
LO6. demonstrate a sense of responsibility, independence, cultural competence and ethical behaviour as a practising scientist in a work environment.

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.

changes have been made to be more broadly applicable to students across disciplines in science

Additional information

Any questions about your day-to-day work should be directed to your placement supervisor, but for other questions you are welcome to contact the unit coordinator if necessary.

Science student portal

Additional costs

There may be student-incurred travel and accommodation costs dependent on the location and duration of the placement

Work, health and safety

We are governed by the Work Health and Safety Act 2011, Work Health and Safety Regulation 2011 and Codes of Practice. Penalties for non-compliance have increased. Everyone has a responsibility for health and safety at work. The University’s Work Health and Safety policy explains the responsibilities and expectations of workers and others, and the procedures for managing WHS risks associated with University activities.

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.

Current students

Overview

Overview

Unit details and rules

Teaching staff

Assessment

Assessment

Early feedback task

Assessment summary

Assessment criteria

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

Late submission

Academic integrity

Learning support

Learning support

Simple extensions

Special consideration

Using AI responsibly

Support for students

Weekly schedule

Weekly schedule

Attendance and class requirements

Study commitment

Required readings

Learning outcomes

Learning outcomes

Graduate qualities

Outcome map

Responding to student feedback

Responding to student feedback

Additional information

Additional information

Additional costs

Work, health and safety

Disclaimer

On this page

Useful links

WILS2002: Science WIL Extended Experience

Semester 1, 2025 [Block mode] - Camperdown/Darlington, Sydney

Overview

Overview

Unit details and rules

Teaching staff

Assessment

Assessment

Early feedback task

Assessment summary

Assessment criteria

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

Late submission

Academic integrity

Learning support

Learning support

Simple extensions

Special consideration

Using AI responsibly

Support for students

Weekly schedule

Weekly schedule

Attendance and class requirements

Study commitment

Required readings

Learning outcomes

Learning outcomes

Graduate qualities

Outcome map

Responding to student feedback

Responding to student feedback

Additional information

Additional information

Additional costs

Work, health and safety

Disclaimer

On this page

Useful links