Outline

Overview

This unit features an employability bootcamp jointly delivered by careers and employability practitioners and educators. The unit focuses on preparing students to successfully undertake industry-focused problem-solving work in diverse teams. The learning journey includes a 2-week virtual group project with post-project employability workshops to provide students with the skills and tools to allow them to navigate and secure further employability-focused experiences during uncertainty.

Unit details and rules

Academic unit	Work Integrated Learning Hub
Credit points	6
Prerequisites ?	None
Corequisites ?	None
Prohibitions ?	None
Assumed knowledge ?	None
Available to study abroad and exchange students	No

Teaching staff

Coordinator	Gaia Grant, gaia.grant@sydney.edu.au
Tutor(s)	Geoffrey Harrison, geoffrey.harrison@sydney.edu.au

Type	Description	Weight	Due	Length
Participation	Participation N/A	10%	Ongoing Due date: 26 Oct 2021 at 23:59 Closing date: 28 Oct 2021	N/A
Outcomes assessed:
Assignment	Assessment 1: Project goals Written paper	15%	Week 01 Due date: 25 Sep 2021 at 23:59 Closing date: 05 Oct 2021	1000 words
Outcomes assessed:
Assignment	Assessment 2: Project report Written paper	40%	Week 02 Due date: 30 Sep 2021 at 23:59 Closing date: 10 Oct 2021	2500 words
Outcomes assessed:
Presentation	Assessment 3: E-portfolio Presentation	35%	Week 06 Due date: 24 Oct 2021 at 23:59 Closing date: 02 Nov 2021	1000 words
Outcomes assessed:
= group assignment ?

Assessment summary

Assessment 1: Project goals
In this assessment students identify the core client challenge that will need to be addressed in the Digital Industry Project and set personal and team goals for the project.

Assessment 2: Project report
This assessment involves students preparing the draft report for their client as part of the Digital Industry Project.

Asssessment 3: E-portfolio
Students compile an employability e-portfolio and present it to their peers.

Assessment 4: Participation
Students are required to attend and particpate in the seminars and workshops as part of the assessment requirements.

Assessment criteria

Please see Canvas for the assignment rubric.

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.

This unit has an exception to the standard University policy or supplementary information has been provided by the unit coordinator. This information is displayed below:

The Assessment Procedures 2011 state that any written work submitted after 11:59pm on the due date will be penalised by 5% of the maximum awardable mark for each calendar day after the due date. If the assessment is submitted more than ten calendar days late, a mark of zero will be awarded. However, a unit of study may prohibit late submission or waive late penalties only if expressly stated below.

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
Week 01	1. PLANNING A PROJECT: Introduction to the course, the experiential & reflective project-based approach, the assessments, the project team, and to project planning skills. Models, skills & tools for framing a challenge and planning accordingly. NOTE: Each week includes - Seminar (1hr, online) + Workshop (2hrs - online and face-to-face options available)	Online class (3 hr)
Week 02	2. LAUNCHING A PROJECT: Models, skills and tools for identifying original, well-structured & strategic approaches.	Online class (3 hr)
Week 03	3. PROJECT ENGAGEMENT: Models, skills and tools for involving individuals & teams in collaborative & objectively effective processes. Digital Industry Project (WK1)	Online class (14 hr)
Week 04	4. WRAPPING UP A PROJECT: Models, skills and tools for highlighting & testing unique & practical solutions for implementation and evaluating success. Digital Industry Project (WK2)	Online class (14 hr)
Week 05	5. COMMUNICATING EFFECTIVELY: Skills for presenting yourself and your ideas.	Online class (3 hr)
Week 06	6. FINAL PRESENTATIONS	Online class (3 hr)

Attendance and class requirements

Seminar:

Note that the 1-hour seminars each week will be delivered wholly online and should be attended in real time to prepare for the workshops and as these sessions are designed to be interactive. Recordings will be made available on Canvas, but at least 90% attendance is required where possible (unless there is a reasonable explanation and evidence of reason for absence).

Workshops:

Real-time attendance at the 2-hour weekly workshops is also essential as they involve project-based work. You are required to attend 90% of these workshop sessions (unless there is a reasonable explanation and evidence of reason for absence). Keep in mind you must join (or watch) the seminar before you attend the workshop (tutorial).

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.

Study commitment

Required readings

All readings for this unit are detailed in the Reading List available on Canvas.

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. Identify and develop innovative problem-solving capabilities and skills that will enhance employability.
LO2. Cultivate the ability to work effectively with others from diverse cultural and disciplinary backgrounds.
LO3. Develop oral and written communication skills through interactions with industry stakeholders, using a range of communication and presentation modes.
LO4. Evaluate issues related to employability and professional development by reflecting on experiential learning opportunities in the light of research.

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.

The content and assessments in this unit have been updated in response to student feedback to focus more closely on maximising the experience and learning opportunities from the Digital Industry Project.

Additional information

Students will be expected to complete weekly workshops, actively engage in the Job Smart Edge program, and work collaboratively and respectfully with their group members, peers, and industry clients. Student contact hours (including preparing and undertaking the learning experience) for set and formative tasks may differ from week to week.

Additional costs

Nil

Site visit guidelines

Nil

Work, health and safety

Nil

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

Required readings

Learning outcomes

Learning outcomes

Graduate qualities

Outcome map

Responding to student feedback

Responding to student feedback

Additional information

Additional information

Additional costs

Site visit guidelines

Work, health and safety

Disclaimer

On this page

Useful links

BUSS6102: Special Topics in Business A

Intensive September - October, 2021 [Block mode] - Remote

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

Required readings

Learning outcomes

Learning outcomes

Graduate qualities

Outcome map

Responding to student feedback

Responding to student feedback

Additional information

Additional information

Additional costs

Site visit guidelines

Work, health and safety

Disclaimer

On this page

Useful links