Outline

Overview

The university as well as the business school aim to widen the students' exposure to entrepreneurship. This course is complementing the other entrepreneurship course in the MCom by providing a broader overview about entrepreneurship. Thus, such a course is introducing the topic and provides a foundation for the other more specialized entrepreneurship course in this program.

Unit details and rules

Academic unit	Strategy, Innovation and Entrepreneurship
Credit points	6
Prerequisites ?	None
Corequisites ?	None
Prohibitions ?	None
Assumed knowledge ?	None
Available to study abroad and exchange students	No

Teaching staff

Coordinator	Paul Finn, p.finn@sydney.edu.au
Lecturer(s)	Paul Finn, p.finn@sydney.edu.au
Tutor(s)	Christian Russo, christian.russo@sydney.edu.au

Type	Description	Weight	Due	Length
Assignment	Critical Reflection Critical reflection on entrepreneurial journey so far and future to come	25%	Formal exam period Due date: 05 Jun 2023 at 17:00 Closing date: 19 Jun 2023	1500 words
Outcomes assessed:
Participation	Participation and Professionalism Participation and professionalism in lectures and workshops	10%	Progressive	Ongoing
Outcomes assessed:
Assignment	Biography of an Entrepreneur Biographical analysis of an entrepreneur	30%	Week 07 Due date: 03 Apr 2023 at 17:00 Closing date: 17 Apr 2023	2000 words
Outcomes assessed:
Assignment	Consulting Presentation Consultant advice to entrepreneur	35%	Week 11 Due date: 08 May 2023 at 17:00 Closing date: 22 May 2023	15-minute presentation + slide deck
Outcomes assessed:
= group assignment ?

Assessment summary

See assessment guidelines under 'Assignments' tab 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	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.

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:

5% for everyday or part thereof up to and including ten days after the due date. For work submitted more than 10 days after the due date a mark of zero will be awarded. Failure to submit peer evaluation for the group assessment will result in a 0 mark for that individual.

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	Introduction to Fundamentals of Entrepreneurship	Lecture (1.5 hr)
Week 02	Processes of Entrepreneurship	Lecture and tutorial (3 hr)
Week 03	Processes of Innovation	Lecture and tutorial (3 hr)
Week 04	Entrepreneurship and Individuals	Lecture and tutorial (3 hr)
Week 05	Entrepreneurship and Organisations	Lecture and tutorial (3 hr)
Week 06	Entrepreneurship and Wider Contexts	Lecture and tutorial (3 hr)
Week 07	Sustainable Entrepreneurship	Lecture and tutorial (3 hr)
Week 08	Technology Entrepreneurship	Lecture and tutorial (3 hr)
Week 09	Institutional Entrepreneurship	Lecture and tutorial (3 hr)
Week 10	Social and Cultural Entrepreneurship	Lecture and tutorial (3 hr)
Week 11	Recap and Looking Forward	Lecture and tutorial (3 hr)
Week 12	Entrepreneurial Storytelling and Narrative	Lecture and tutorial (3 hr)
Week 13	Final Assignment Drop-in Session	Tutorial (1.5 hr)

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

The readings are available via e-reserve. More information regarding the readings can be found in 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. Understand and engage with different concepts of entrepreneurship.
LO2. Discuss and evaluate different forms of entrepreneurship in varying contexts.
LO3. Analyse opportunities and the resources needed to successfully exploit them.
LO4. Evaluate cases of entrepreneurship across multiple businesses and industries, including start-ups and larger established organisations, and traditional businesses and social ventures.
LO5. Critically engage in debates about the role of entrepreneurship in society.

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

Business School Policies

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

Study commitment

Required readings

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

SIEN6006: Entrepreneurship

Semester 1, 2023 [Normal day] - 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

Study commitment

Required readings

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