Outline

Overview

This course is designed to provide students with the challenging experience of transforming a good idea, of their own choosing, into a commercial reality. It provides the opportunity for students to assess and develop their entrepreneurial skills. It develops the key competencies of opportunity identification, creativity, vision, ideas assessment, self-awareness, motivation, mobilising resources, financial and economic literacy, planning and management, coping with uncertainty and the pursuit of learning through experience.

Unit details and rules

Academic unit	Engineering
Credit points	6
Prerequisites ?	must be in the Dalyell stream
Corequisites ?	None
Prohibitions ?	None
Assumed knowledge ?	None
Available to study abroad and exchange students	No

Teaching staff

Coordinator	Ehssan Sakhaee, ehssan.sakhaee@sydney.edu.au
Lecturer(s)	Ben Lindsay, benjamin.lindsay@sydney.edu.au

Type	Description	Weight	Due	Length
Online task	Tutorial Presentations & Activities presentations and activities in tutorials.	5%	Multiple weeks	30 seconds/engagement in activities
Outcomes assessed:
Presentation	Weekly Team Updates check in by tutor	5%	Multiple weeks	1-2 mins
Outcomes assessed:
Assignment	Weekly Discussion Posts Submit a post by Wednesday and response to another member by Sunday (1%)	10%	Multiple weeks	100-200 words
Outcomes assessed:
Assignment	Reflection Report Reflection on all your learning throughout the journey.	15%	STUVAC	2000 - 3000 words
Outcomes assessed:
Presentation	Individual pitch 30-second pitch of a problem you have identified.	5%	Week 03	30 seconds
Outcomes assessed:
Assignment	Tech Startup Research research a tech startup that offers a product or service.	10%	Week 04	2000-2500 words
Outcomes assessed:
Assignment	Business Model Canvas submit your business model canvas on the BMC template.	5%	Week 07	1 page
Outcomes assessed:
Assignment	Business Plan	30%	Week 12	30-50pages
Outcomes assessed:
Presentation	Final Pitch Final pitch to class (in tutorial)	15%	Week 12	3minutes
Outcomes assessed:
= group assignment ?

Assessment summary

Proposal: Project Proposal identifying and evaluation three viable possible projects
Essay: Written case study of business planning
Project Report 1 – Draft Business Plan
Presentation/Seminar: Group presentation of their business plan
Report: An individual report, which describes the major stages in the project development, analyses the major issues in team development and effective operation and reflects upon what was learned at an individual and group level

Detailed information for each assessment can be found 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
Distinction	75 - 84
Credit	65 - 74
Pass	50 - 64
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
Week 01	Introduction to Entrepreneurship	Lecture (1 hr)
Week 01	failure resume pitch + activities	Workshop (2 hr)
Week 02	From Problems to Innovation, The Rise & Fall of Startups & Companies	Lecture (1 hr)
Week 02	problem identification and their root causes	Workshop (2 hr)
Week 03	Ideation and Design	Lecture (1 hr)
Week 03	Pitching identified problems, investing, and team formation around top problems.	Workshop (2 hr)
Week 04	Entrepreneurial Teams	Lecture (1 hr)
Week 04	Teamwork and innovation	Workshop (2 hr)
Week 05	Design Thinking	Lecture (1 hr)
Week 05	Develop and refine your business model	Workshop (2 hr)
Week 06	Financial planning	Lecture (1 hr)
Week 06	Develop and refine your marketing plan	Workshop (2 hr)
Week 07	Exploration of financial planning issues	Workshop (2 hr)
Week 07	Sales & Marketing	Lecture (1 hr)
Week 08	Presentation by a guest lecturer from the VC industry	Lecture (1 hr)
Week 08	Guest Session	Workshop (2 hr)
Week 09	Intellectual Property and Legal Matters	Lecture (1 hr)
Week 09	Business plan preparation	Workshop (2 hr)
Week 10	Guest Session	Lecture (1 hr)
Week 10	Preparing your presentation	Workshop (2 hr)
Week 11	Guest Session	Lecture (1 hr)
	Final Pitches	Workshop (2 hr)
	What Next : taking your ideas and projects to the next level	Lecture (1 hr)
	Developing the final business plan	Workshop (2 hr)
Week 12	Reflection on Learning & Reflection Report	Lecture (1 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.

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 analyse complex, non-linear problems and develop possible solutions where data are limited and the principal variable is people.
LO2. develop a systems / holistic perspective of problems to understand root causes of problems and possible solutions to address root causes.
LO3. demonstrate enhanced communication skills, including presentation, engagement and microphone techniques, particularly to a large public audience
LO4. demonstrate a well-developed understanding of the process of business planning
LO5. demonstrate enhanceded leadership, project management, and teamwork skills.
LO6. understand the process of innovation, entrepreneurship and startups and how to apply it.
LO7. become increasingly more comfortable with failure and uncertainty, and identifying and developing an "entrepreneurial mindset".
LO8. work in a team and overcome the various interpersonal challenges involved in working with others.
LO9. lead self around the various mental challenges faced in an entrepreneurial journey : uncertainty, interpersonal challenges with team and failure.
LO10. creatively solve problems and think outside the box to generate innovative ideas for complex challenges.

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.

Feedback from last semester's Unit of Study Survey (USS) was used to revise the course.

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

Learning outcomes

Learning outcomes

Graduate qualities

Outcome map

Responding to student feedback

Responding to student feedback

Disclaimer

On this page

Useful links

ENGD3001: Technological Innovation through New Ventures

Semester 2, 2020 [Normal day] - 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

Study commitment

Learning outcomes

Learning outcomes

Graduate qualities

Outcome map

Responding to student feedback

Responding to student feedback

Disclaimer

On this page

Useful links