Outline

Overview

In this unit students work collaboratively in interdisciplinary teams on authentic, complex problem-based projects developed with project partners. Students will conduct self-directed research to address industry problems or identify industry opportunities which will provide context for their final recommendations. The unit will enhance a student's problem-solving ability through experiential evidence-based teaching approaches focused on project management, professional conduct, reflective practices and collaboration. This experience will equip students with a toolkit to become more adaptive and agile in responding to dynamic industry and community organisational environments.

Unit details and rules

Academic unit	Arts and Social Sciences
Credit points	6
Prerequisites ?	None
Corequisites ?	FASS4902
Prohibitions ?	None
Assumed knowledge ?	Depth of knowledge in at least one discipline (major).
Available to study abroad and exchange students	No

Teaching staff

Coordinator	James Curran, james.b.curran@sydney.edu.au

Type	Description	Weight	Due	Length
Assignment	Individual statement Written task	20%	Week 02 Due date: 13 Jul 2020 at 23:00	1500 words
Outcomes assessed:
Presentation	Group proposal presentation Oral or poster presentation	20%	Week 04 Due date: 31 Jul 2020 at 11:00	5 minutes
Outcomes assessed:
Assignment	Group project proposal Written task	40%	Week 05 Due date: 05 Aug 2020 at 23:00	5000 words
Outcomes assessed:
Assignment	Individual contribution to group work Self and peer review survey	20%	Week 05 Due date: 05 Aug 2020 at 23:00	200 words
Outcomes assessed:
= group assignment ?

Assessment summary

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	Awarded when you demonstrate the learning outcomes for the unit at an exceptional standard, as defined by grade descriptors or exemplars outlined by your faculty or school.
Distinction	75 - 84	Awarded when you demonstrate the learning outcomes for the unit at a very high standard, as defined by grade descriptors or exemplars outlined by your faculty or school.
Credit	65 - 74	Awarded when you demonstrate the learning outcomes for the unit at a good standard, as defined by grade descriptors or exemplars outlined by your faculty or school.
Pass	50 - 64	Awarded when you demonstrate the learning outcomes for the unit at an acceptable standard, as defined by grade descriptors or exemplars outlined by your faculty or school.
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.

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	Learning outcomes
Ongoing	Will be provided on Canvas	Project (39 hr)

Attendance and class requirements

Attendance: Students are expected to attend a minimum of 90 per cent of timetabled activities for the unit of study. Failure to meet the attendance requirement may impact on students’ overall mark in this unit.

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

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. Reflect on individual approach and articulate how specialised skills and knowledge acquired from formal discipline-based study and other experience is being applied in the context of the project
LO2. Develop proficiency in high level collaboration approaches, capitalising on individual perspectives and resolving team dysfunction, based on deep understanding of current theory on cooperative and team-based learning
LO3. Be self-directed to develop specialised knowledge and expertise in a professional or discipline-based area facilitated through a social learning environment (eg. community of practice, CoP) and demonstrate leadership in this area within the context of the project.
LO4. Demonstrate advanced skills to critically analyse complex problems, collect data and propose novel or innovative solutions that may add value for stakeholders, organisations or society.
LO5. Develop advanced skills to validate proposed solutions and evaluate implementation strategies demonstrating value and any other impacts on stakeholders, organisations and society
LO6. Master advanced communication strategies in professional settings including use of digital platforms and approaches

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.

No changes have been made since this unit was last offered

Additional information

Simple extensions: Students need to request simple extensions from their project supervisor not their UoS coordinator.
Academic appeals: Students should follow the following appeal process in this unit of study:
- Students contact their project supervisor to discuss their concerns regarding the academic decision and receive a better understanding of why the decision was made.
- If students are unhappy with that decision, they contact the Director of Education (EEE), Prof Lorraine Smith, lorraine.smith@sydney.edu.au, to raise their concerns.
- If students’ concerns are not resolved, they may contact their faculty or school and follow the appeals process specific to their faculty or school (https://sydney.edu.au/students/academic-appeals/resolution.html#faculty).
Student partner contact: Partner engagement is managed by the project supervisor in conjunction with the EEE team. Student contact with the partner is to be facilitated by the project supervisor at all times. Students must not contact a partner directly without prior permission from their project supervisor.
Student research - ethics approval: There is limited scope for students to undertake small, negligible-risk research in their projects, such as carefully constructed surveys or questionnaires. If students are thinking about conducting research as part of their project work, they must discuss this with their project supervisor.
Legal obligations: The University and project partners have mutually agreed to keep each other's information confidential.
Deed Poll requirements: Students registered for a project will need to upload a signed and witnessed Deed Poll to Canvas. This is a compulsory requirement for all students enrolled in this unit. Students must consider the acknowledgments in the deed carefully before submission. Students will be granted access to Canvas the week before teaching starts for their enrolled session and will need to submit the Deed Poll before the first day of class.
Use of student work for education purposes: A copy of students’ presentation and/or final report may be provided to the partner on some projects. Students can ask the project supervisor for further details. Submitted assignments may be used to evaluate assessment models and course design in accordance with the University’s Coursework Policy 2014. De-identified assignments may also be shared with future students as examples of completed work, or as a basis for developing past students’ work in future iterations of projects.

More information can be found on Canvas.

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

Assessment summary

Assessment criteria

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

Media

Student links

About us

Connect

Current students

FASS4901: Advanced Industry and Community Project A

Intensive June - July, 2020 [Block mode] - Camperdown/Darlington, Sydney

Overview

Overview

Unit details and rules

Teaching staff

Assessment

Assessment

Assessment summary

Assessment criteria

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

Media

Student links

About us

Connect