• Class Number 3091
  • Term Code 3630
  • Class Info
  • Unit Value 6 units
  • Mode of Delivery In Person
  • COURSE CONVENER
    • Dr Samira Nazar
  • LECTURER
    • Dr Samira Nazar
  • Class Dates
  • Class Start Date 23/02/2026
  • Class End Date 29/05/2026
  • Census Date 31/03/2026
  • Last Date to Enrol 02/03/2026
SELT Survey Results

New Venture Creation builds insights and skills in the tools and processes by which new business ventures are created by entrepreneurs. The course introduces participants to the process of identifying new business opportunities, researching and developing an innovative business concept and business model, and analysing the resources and strategies necessary to implement it in the form of a new venture. 

The course is delivered through workshops, in-class exercises and experiential learning in which participants work in small teams taking on the role of new venture proponents.  At the end of the course, participants present their business concepts to an examiners' panel - representing hypothetical investors or other stakeholders. Participant teams are actively mentored by the course lecturer. Exercises and assignments are designed to encourage participants to engage pro-actively with the ACT’s new venture creation ecosystem.

Learning Outcomes

Upon successful completion, students will have the knowledge and skills to:

  1. Identify opportunities and the drivers of new venture creation processes;
  2. Summarise techniques for identifying new venture opportunities;
  3. Design a new venture concept (for-profit, not-for-profit or social venture) and an innovative business model for implementing it;
  4. Evaluate the resources required for implementing the designed concept and business model;
  5. Create a comprehensive new venture proposal with supporting documentation;
  6. Integrate new venture concepts and techniques in a pitch to an investor panel.

Research-Led Teaching

The course provides students with a framework to experience new venture creation. New venture research draws on a variety of scholarly disciplines including management and entrepreneurship. In this course, particular attention is paid to the process of new venture creation from problem to solution underlined by the Lean Canvas and The Lean Start Up methodologies.

Field Trips

There are no field trips in this course.


Additional Course Costs

There are no additional class costs expected in this course.


Examination Material or equipment

There are no examinations in this course.

Required Resources

Any required resources or readings will be provided on the Canvas page.

The Lean Startup book by Eric Ries - Available for loan in the ANU library.

Additional readings and resources will be provided throughout the course.

Staff Feedback

Students will be given feedback in the following forms in this course:
  • Written comments
  • Verbal comments
  • Feedback to the whole class, to groups, to individuals, focus groups

Student Feedback

ANU is committed to the demonstration of educational excellence and regularly seeks feedback from students. Students are encouraged to offer feedback directly to their Course Convener or through their College and Course representatives (if applicable). The feedback given in these surveys is anonymous and provides the Colleges, University Education Committee and Academic Board with opportunities to recognise excellent teaching, and opportunities for improvement. The Surveys and Evaluation website provides more information on student surveys at ANU and reports on the feedback provided on ANU courses.

Other Information

Support of students:

The University offers a number of support services for students. Information on these is available online from http://students.anu.edu.au/studentlife/.

Class Schedule

Week/Session Summary of Activities Assessment
1 PHASE 1: PROBLEM EXPLORATION (Weeks 1-6)Introduction and Identifying Problems Worth Solving
2 Team Formation and Problem Selection Founding team formation
3 Customer Discovery
4 Assumption Testing – Problem Validation Assignment 1: Case Study
5 Problem–Solution Fit
6 Problem Validation Pitch Assignment 2: Problem Validation Pitch
7 PHASE 2 — SOLUTION TESTINGIdeation and Concept Development Assignment 3: Progress Review 1
8 MVP Testing and Experimentation Assignment 3: Progress Review 2
9 Pivot, Iterate, or Persevere Assignment 3: Progress Review 3
10 Business Model and Go-to-Market Development Assignment 3: Progress Review 4
11 Building the Business and Operations
12 New Venture Pitch Assignment 4: New Venture Pitch
13 End of semester examination period Assignment 5: Reflection Essay 

Tutorial Registration

Seminars consist of lecture sessions, discussion questions, discussion of pre-readings, and in-class exercises.

Assessment Summary

Assessment task Value Due Date Return of assessment Learning Outcomes
Case Study (Individual - 20%) 20 % 17/03/2026 31/03/2026 1,4
Problem Validation Pitch (Group - 20%) 20 % 31/03/2026 20/04/2026 1,2,3
Progress Reviews (Group - 10%) 10 % * * 2,4,6
New Venture Pitch (Group - 30%) 30 % 26/05/2026 11/06/2026 1,2,3,4,5,6
Reflection Essay (Individual - 20%) 20 % 10/06/2026 02/07/2026 1,2,3,4,5,6

* If the Due Date and Return of Assessment date are blank, see the Assessment Tab for specific Assessment Task details

Policies

ANU has educational policies, procedures and guidelines, which are designed to ensure that staff and students are aware of the University’s academic standards, and implement them. Students are expected to have read the Academic Misconduct Rule before the commencement of their course. Other key policies and guidelines include:

Assessment Requirements

The ANU is using Turnitin to enhance student citation and referencing techniques, and to assess assignment submissions as a component of the University's approach to managing Academic Integrity. For additional information regarding Turnitin please visit the ANU Online website Students may choose not to submit assessment items through Turnitin. In this instance you will be required to submit, alongside the assessment item itself, hard copies of all references included in the assessment item.

Moderation of Assessment

Marks that are allocated during Semester are to be considered provisional until formalised by the College examiners meeting at the end of each Semester. If appropriate, some moderation of marks might be applied prior to final results being released.

Participation

The course will be taught Face-to-Face (F2F). Attendance at seminars, while not compulsory, is expected in line with "Code of Practice for Teaching and Learning," Clause 2 paragraph (b). Where students will not be able to attend a seminar they should advise the Convenor and discuss how to address the learning materials instead.

Examination(s)

There are no examinations in this course.

Assessment Task 1

Value: 20 %
Due Date: 17/03/2026
Return of Assessment: 31/03/2026
Learning Outcomes: 1,4

Case Study (Individual - 20%)

Weighting: 20%

Assessment type: Individual 

This individual assignment prepares you for the new venture creation work ahead by introducing you to real-world entrepreneurial practice. The purpose of this task is to build your foundational insight into entrepreneurial processes before you begin applying the Lean Startup methodology in your team-based venture development later in the course.

 

Step 1:

  • Read and listen to Blank, S. (2013). Why the lean start-up changes everything. Harvard business review, 91(5), 63-72.
  • The link to the audio will be provided on the course Canvas site. 

 

Step 2:

Listen to the story of an entrepreneur of your choice from the following Podcast: “How I Built This, NPR”, which is a web-based resource: https://www.npr.org/series/490248027/how-i-built-this

 

Step 3: 

Write up a brief case study with the following components

  • Entrepreneur's journey
  • Introduce the entrepreneur/venture. 
  • What challenges and opportunities did they encounter in their journey?
  • The Lean Startup
  • How does the Lean Startup methodology fundamentally differ from traditional business planning processes?
  • What are the core components and key principles driving the successful adoption of lean start-ups?
  • Application of the Lean Startup to the case
  • Explain whether the entrepreneur has applied the Lean Startup in their entrepreneurial journey in some shape or form.
  • If yes, how? What could they do better? OR
  • If not, how could they apply it moving forward? Provide a brief recommendation based on Blank’s work

 

Formatting guidelines:

  • Word count: 1,000 words (+/- 10% tolerance) + Cover page. Word count does not include the reference list or appendices. NO penalty for going over the word count, although assignments over 1,100 words will not be read and marked.
  • Formatting style: Arial or New Times Roman 12 pt, 1.5 spacing, 2.54 cm margins
  • Referencing style: APA 7th
  • Cover page: Student name and student ID, Date of submission, word count, Assignment #/Title
  • Academic writing: You need to make sure your writing is coherent, cohesive, and understandable to a reader. Make sure your writing is convincing, insightful, and presented professionally. Further information on academic writing can be accessed at: https://www.anu.edu.au/students/academic-skills/writing-and-assessment.
  • Please ensure you cite information and insights retrieved from secondary sources using APA 7th referencing guidelines.
  • Use of Artificial Intelligence (AI): Use of AI is rapidly growing in all sectors, particularly the use of Large Language Models, of which there are many proprietary brands. In this course, students may choose to use or to not use AI tools. In any case, where AI tools are used, the student must comply with the ANU Academic Integrity principles for use of GenAI, as well as accurately cite and reference what tools were used, and advise in an appendix how they used the tool. The ANU provides further broad guidance in the ANU Gen AI LibGuide. As part of handling a potential breach of academic integrity, students are reminded that they may be requested to meet with the Convenor to discuss any assessment submission, including responding to questions on the content of submissions and on their understanding of the course concepts assessed by the submission.

 

Submission dateTuesday, 17 March 2026, 23:59 AEDT. Reports should be uploaded via the course Canvas site.

Marking criteria: Marking criteria will be available on Canvas from two weeks prior to Week 1 of the semester.

Return of assessment: written feedback within 10 working days of submission, and in any case by 31 March.

Late submissions: If you are unable to submit on time, you should apply for an extension through ANUHub before the due date. A penalty of 5% per working day or part thereof will apply for late submissions.

Assessment Task 2

Value: 20 %
Due Date: 31/03/2026
Return of Assessment: 20/04/2026
Learning Outcomes: 1,2,3

Problem Validation Pitch (Group - 20%)

Weighting: 20%

Assessment type: Group 

This group task represents the first stage of the major project for the course. It allows course students to use, for example, the business model framework in the development of an early-stage entrepreneurial venture concept. The purpose of this task is to increase students’ ability to identify problems, needs, or pains affecting people and organisations, assessing and deciding which of these represent real opportunities to be tackled through a venture project.

These concepts will be the basis for the major project to be completed in the second half of the course. During the week 6 seminar, each founding team will present their problem validation to the class. During the remainder of the course, the founding teams will work together to develop a new venture and pitch. Although these concepts are the starting point for the major project, they will likely evolve and change over time. 

 

Structure: In teams of ideally max 5 members, students will prepare a 10-minute* presentation, including

1.     Brief description of the problem, including the customer segment, how they are currently affected by the problem, and the benefits they will receive from having the problem solved.

2.     Mapping customer jobs, pains, and desired outcomes

3.     Assumptions on the cause of the problem, why these assumptions?

4.     Explanation on testing and validating the problem: how did you test the assumptions? What are the results? How do they inform your next steps in developing a solution?

5.     Defining what a “good” solution must accomplish? (Avoiding premature solutioning).

6.     What did you learn during your problem exploration and validation journey? Reflection.

 

Formatting guidelines

  • Time: 10 min* per team - * Strict 10-minute presentation, any content presented beyond 10 minutes will not be considered for marking. Presentations will be video recorded, which will enable later validation and verification of the assessment if required (in accordance with point 7 in the ANU Student Assessment (Coursework) policy).
  • Slides designCover slide: Title of the pitch, photos of each team member with their name and student ID, and student responsibility; Assignment #/Title
  • Formatting style: You can, but do not have to, use ANU templates. You can develop your own slides in a visually appealing manner. Clear and clean slides, use bullet points
  • Referencing style: APA 7th
  • Contributions: Students must also include their team agreement form incl. their % of contribution, on the first or final slide.
  • Effective presentation: You need to make sure your writing is coherent, cohesive, and understandable to a reader. Make sure your writing is convincing, insightful, and presented professionally. Further information on effective presentations can be accessed at: https://www.anu.edu.au/students/academic-skills/writing-assessment/presentations.
  • Please ensure you cite information and insights retrieved from secondary sources using APA 7th referencing guidelines.
  • Use of Artificial Intelligence (AI): Use of AI is rapidly growing in all sectors, particularly the use of Large Language Models, of which there are many proprietary brands. In this course, students may choose to use or to not use AI tools. In any case, where AI tools are used, the student must comply with the ANU Academic Integrity principles for use of GenAI, as well as accurately cite and reference what tools were used, and advise in an appendix how they used the tool. The ANU provides further broad guidance in the ANU Gen AI LibGuide. As part of handling a potential breach of academic integrity, students are reminded that they may be requested to meet with the Convenor to discuss any assessment submission, including responding to questions on the content of submissions and on their understanding of the course concepts assessed by the submission.

 

Submission dateSlide deck: To be uploaded on Turnitin via the Canvas site no later than Tuesday, 31 March 2026, 11:59 PM AEDT.

Marking criteria: Marking criteria will be available on Canvas from two weeks prior to Week 1 of the semester.

Return of assessment: written feedback within 10 working days.

Late submissionsNo late submission is applicable for this assignment. If a member of the group is unable to participate, students should make a decision as a group on who can present in lieu of the missing group member.

 

Please note:

  • How will groups be formed? Groups will be formed by self-selection in Week 2 into groups of 3-5 students based on topics of shared interest. Students who do not form into a team by the middle of week 2 will be allocated into a team by the course convenor. Students will remain in the same groups throughout the semester
  • How will marking be determined? The ANU expect groups to manage themselves and work collaboratively with equal contribution from each member towards the successful completion of the project. The ANU may give members in a group different marks for the assessments submitted by the group, if member/s have not contributed equally. Group members’ contribution is determined by the group members; for this purpose, a group member contribution form will be provided and submitted with the final assessment submission.
  • What help is there to assist the group? The following support is provided. Below, please find details, including advice on management and resolution of intra-group conflict:
  • 1+ hour/week will be allocated to group work during which the course convenor will be present for support.
  • Groups may contact the lecturer/course convenor for assistance in managing their group, including any conflict or workload issues. They will need to make an appointment via the Canvas site or reach out via email.
  • Further, all groups will be provided with an agreement form to manage their workload.

Assessment Task 3

Value: 10 %
Learning Outcomes: 2,4,6

Progress Reviews (Group - 10%)

Weighting: 10% 

Assessment type: Group 

New venture creation is an iterative learning process. This assignment encourages founding teams to adopt the validated learning principle of the Lean Startup methodology: set goals, document progress, and plan actionable next steps. The goal is to ensure teams are on track toward validating their venture and meeting startup milestones. This assignment is a core component of the course. Student groups must submit at least three of the four deliverables.

 

Deliverables:

WK7 – Progress Review 1: Build low-fidelity prototype/MVP for testing

WK8 – Progress Review 2: Test MVP with 20+ potential customers, gather quantitative and qualitative data

WK9 – Progress Review 3: Implement iteration and conduct second round of testing (10+ customers)

WK10 – Progress Review 4: Create go-to-market strategy and financial projections

 

Structure

Each team will prepare a 1-page progress review summarising the following components for each of the deliverables:

  1. What goals were set?
  2. What activities were undertaken? 
  3. What tools did you use to conduct the activities?
  4. What are the results?
  5. What are your next steps?

 

Formatting guidelines:

  • Word count: 500 words/Progress Review. Word count does not include the reference list or appendices. 
  • Visuals: You may include diagrams, tables, images, or bullet points for clarity.
  • Formatting style: Arial or New Times Roman 12 pt, 1.5 spacing, 2.54 cm margins
  • Referencing style: APA 7th
  • Cover page: Student name and student ID, Date of submission, word count, Assignment #/Title
  • Academic writing: You need to make sure your writing is coherent, cohesive, and understandable to a reader. Make sure your writing is convincing, insightful, and presented professionally. Further information on academic writing can be accessed at: https://www.anu.edu.au/students/academic-skills/writing-and-assessment. Please utilise the course material and other academic sources to support your journey. If you draw on secondary sources, please cite them using APA 7th guidelines. To illustrate your journey, you are encouraged to include evidence of your process, such as photos of team activities, snapshots of work in progress, or records of tasks completed throughout the journey of your startup in this course.
  • Use of Artificial Intelligence (AI): Use of AI is rapidly growing in all sectors, particularly the use of Large Language Models, of which there are many proprietary brands. In this course, students may choose to use or to not use AI tools. In any case, where AI tools are used, the student must comply with the ANU Academic Integrity principles for use of GenAI, as well as accurately cite and reference what tools were used, and advise in an appendix how they used the tool. The ANU provides further broad guidance in the ANU Gen AI LibGuide. As part of handling a potential breach of academic integrity, students are reminded that they may be requested to meet with the Convenor to discuss any assessment submission, including responding to questions on the content of submissions and on their understanding of the course concepts assessed by the submission.

 

Submission date: Week 7-10. Progress Reviews should be uploaded to Turnitin via the course Canvas site on the following due dates:

  1. PR1: Friday 24 April 2026, 23:59 AEST. 
  2. PR2: Friday 01 May 2026, 23:59 AEST.
  3. PR3: Friday 08 May 2026, 23:59 AEST.
  4. PR4: Friday 15 May 2026, 23:59 AEST.

Return of assessment: Within 10 working days of submission.

Late submissions: No late submission is applicable for this assignment.

 

Assessment Task 4

Value: 30 %
Due Date: 26/05/2026
Return of Assessment: 11/06/2026
Learning Outcomes: 1,2,3,4,5,6

New Venture Pitch (Group - 30%)

Weighting: 30%

Assessment type: Group 

This group task involves a pitch that is an important part of new venture creation that shall provide a coherent and complete picture of The Lean Start Up methodology in building the new venture.

Content of the pitch should include:

  • Problem and opportunity (with customer evidence)
  • Solution and MVP results
  • Business model and unit economics
  • Go-to-market strategy and traction plan
  • Financial projections (3 years)
  • Team credentials and ask (if seeking funding/support)

You are encouraged to use any necessary audio-visual materials to support your pitch. There is no limit to the amount and type of materials used other than your time limit.

 

Format and Submission

Part A: Pitch (in-class)

  • Time: 10 min* per team - * Strict 10-minute presentation. Any content presented beyond 10 minutes will not be considered for marking. Presentations will be video recorded, which will enable later validation and verification of assessment if required (in accordance with point 7 in the ANU Student Assessment (Coursework) policy).
  • Slides designCover slide: Title of the pitch, photos of each team member with their name and student ID, and student responsibility; Assignment #/Title
  • Formatting style: You can but do not have to use ANU templates. You can develop your own slides in a visually appealing manner. Clear and clean slides, use bullet points
  • Referencing style: APA 7th
  • Contributions: Students must also include their team agreement form incl. their % of contribution on the first or final slide.
  • Effective presentation: You need to make sure your writing is coherent, cohesive, and understandable to a reader. Make sure your writing is convincing, insightful, and presented professionally. Further information on effective presentations can be accessed at: https://www.anu.edu.au/students/academic-skills/writing-assessment/presentations.
  • Please ensure you cite information and insights retrieved from secondary sources using APA 7th referencing guidelines. 


Part B: Executive Summary

  • A comprehensive new venture proposal, integrating the Lean Canvas Model/The Lean Startup
  • Word count: 2,000 words (+/- 10% tolerance) + Cover page. Word count does not include the reference list or appendices. NO penalty for going over the word count, although assignments over 1,100 words will not be read and marked.
  • Formatting style: Arial or New Times Roman 12 pt, 1.5 spacing, 2.54 cm margins
  • Referencing style: APA 7th
  • Cover page: Team Name; Student names and student IDs, Date of submission, word count, Assignment #/Title
  • Academic writing: You need to make sure your writing is coherent, cohesive, and understandable to a reader. Make sure your writing is convincing, insightful, and presented professionally. Further information on academic writing can be accessed at: https://www.anu.edu.au/students/academic-skills/writing-and-assessment.
  • Please ensure you cite information and insights retrieved from secondary sources using APA 7th referencing guidelines.
  • Use of Artificial Intelligence (AI): Use of AI is rapidly growing in all sectors, particularly the use of Large Language Models, of which there are many proprietary brands. In this course, students may choose to use or to not use AI tools. In any case, where AI tools are used, the student must comply with the ANU Academic Integrity principles for use of GenAI, as well as accurately cite and reference what tools were used, and advise in an appendix how they used the tool. The ANU provides further broad guidance in the ANU Gen AI LibGuide. As part of handling a potential breach of academic integrity, students are reminded that they may be requested to meet with the Convenor to discuss any assessment submission, including responding to questions on the content of submissions and on their understanding of the course concepts assessed by the submission.

 

Submission date: 

Executive summaries and slide decks: for all groups should be uploaded to Turnitin via the Canvas site no later than 26 May 2026 11:59 PM AEST

Pitches: will take place during the week 12 seminar on 27 May 2026 during the seminar.

Marking Criteria: A detailed rubric will be made available on Canvas from two weeks prior to Week 1 of the semester.

Return of assessment: verbal feedback will be given during the seminar, and marks will be provided within 10 working days of upload.

Late submissions: No late submission is applicable for this assignment. If a member of the group is unable to participate in the pitch, students should make a decision as a group who can present in lieu of the missing group member.

Please note:

  • How will groups be formed? Groups will be formed by self-selection in Week 2 into groups of 3-5 students based on topics of shared interest. Students who do not form into a team by the middle of week 2 will be allocated into a team by the course convenor. Students will remain in the same groups throughout the semester
  • How will marking be determined? The ANU expect groups to manage themselves and work collaboratively with equal contribution from each member towards the successful completion of the project. The ANU may give members in a group different marks for the assessments submitted by the group, if member/s have not contributed equally. Group members’ contribution is determined by the group members; for this purpose, a group member contribution form will be provided and submitted with the final assessment submission.
  • What help is there to assist the group? The following support is provided. Below, please find details, including advice on management and resolution of intra-group conflict:
  • 1+ hour/week will be allocated to group work during which the course convenor will be present for support.
  • Groups may contact the lecturer/course convenor for assistance in managing their group, including any conflict or workload issues. They will need to make an appointment via the Canvas site or reach out via email.
  • Further, all groups will be provided with an agreement form to manage their workload.

Assessment Task 5

Value: 20 %
Due Date: 10/06/2026
Return of Assessment: 02/07/2026
Learning Outcomes: 1,2,3,4,5,6

Reflection Essay (Individual - 20%)

Weighting: 20 %

Assessment type: Individual 

This final assessment is an individual reflective essay designed to help you critically analyse your personal journey throughout the course. You have progressed through the stages of problem identification and validation, solution ideation, MVP testing, and iteration or pivoting using the Lean Startup methodology. Along the way, you delivered key milestones such as the problem validation pitch and the final new venture pitch.

 

Now, it’s time to step back and reflect on your learning experience. This essay should demonstrate your ability to:

  • Evaluate your own decisions and actions.
  • Identify key lessons learned.
  • Connect theory (e.g., Lean Startup principles) to practice.
  • Articulate how these insights will shape your future entrepreneurial endeavours.

 

Structure: Your reflective essay should include the following sections.

1.     Introduction (150-200 words)

  • Briefly summarise your venture concept and the journey you undertook.
  • State the purpose of your reflection.

2.     Self-assessment (250-400 words)

  • Identify at least three specific mistakes or challenges you faced during customer interviews or MVP testing.
  • Use concrete examples from your actual conversations or experiments.

3.     Learning journey (300-400 words)

  • How did your approach to customer conversations and validation evolve from early weeks to now?
  • What was your biggest misconception about customer development or Lean Startup principles?
  • How did you respond to feedback and decide whether to pivot or persevere?

4.     Evidence of learning (200-300 words)

  • Provide one example of a customer insight you initially missed but later uncovered by improving your questioning or testing technique.
  • Explain how this insight influenced your venture decisions.

5.     Future application (150-200 words)

  • How will you apply these lessons in future entrepreneurial projects?
  • Outline specific commitments to improve your customer validation and iteration skills.

6.     Conclusion (100-150 words)

  • Summarise your key takeaways and their relevance to your entrepreneurial mindset.

 

Formatting

  • Word count: 1,500 words (+/- 10% tolerance) + Cover page. Word count does not include the reference list or appendices. NO penalty for going over the word count, although assignments over 1,650 words will not be read and marked.
  • Presentation: Arial or New Times Roman 12 pt, 1.5 spacing, 2.54 cm margins
  • Referencing style: APA 7th
  • Cover page: Student name and student ID, Date of submission, word count, Assignment #/Title
  • Academic writing: You need to make sure your writing is coherent, cohesive, and understandable to a reader. Make sure your writing is convincing, insightful, and presented professionally. Further information on reflective writing can be accessed at: https://www.anu.edu.au/students/academic-skills/writing-assessment/reflective-writing. Given reflective writing is inherently personal, so formal referencing is not required. However, if you draw on secondary sources, please cite them using APA 7th  guidelines. To illustrate your journey, you are encouraged to include evidence of your process, such as photos of team activities, snapshots of work in progress, or records of tasks completed throughout the course.
  • Use of Artificial Intelligence (AI): Use of AI is rapidly growing in all sectors, particularly the use of Large Language Models, of which there are many proprietary brands. In this course, students may choose to use or to not use AI tools. In any case, where AI tools are used, the student must comply with the ANU Academic Integrity principles for use of GenAI, as well as accurately cite and reference what tools were used, and advise in an appendix how they used the tool. The ANU provides further broad guidance in the ANU Gen AI LibGuide. As part of handling a potential breach of academic integrity, students are reminded that they may be requested to meet with the Convenor to discuss any assessment submission, including responding to questions on the content of submissions and on their understanding of the course concepts assessed by the submission.

 

Submission dateWednesday 10 June 2026, 23:59 AEST. Reflection essays should be uploaded to Turnitin via the course Canvas site.

Return of assessment: with the release of final grades.

Marking criteria: Marking criteria will be available on Canvas from two weeks prior to Week 1 of the semester.

Late submissions: If you are unable to submit on time, you should apply for an extension through ANUHub before the due date. A penalty of 5% per working day or part thereof will apply.

Academic Integrity

Academic integrity is a core part of our culture as a community of scholars. At its heart, academic integrity is about behaving ethically. This means that all members of the community commit to honest and responsible scholarly practice and to upholding these values with respect and fairness. The Australian National University commits to embedding the values of academic integrity in our teaching and learning. We ensure that all members of our community understand how to engage in academic work in ways that are consistent with, and actively support academic integrity. The ANU expects staff and students to uphold high standards of academic integrity and act ethically and honestly, to ensure the quality and value of the qualification that you will graduate with. The University has policies and procedures in place to promote academic integrity and manage academic misconduct. Visit the following Academic honesty & plagiarism website for more information about academic integrity and what the ANU considers academic misconduct. The ANU offers a number of services to assist students with their assignments, examinations, and other learning activities. The Academic Skills and Learning Centre offers a number of workshops and seminars that you may find useful for your studies.

Online Submission

The ANU uses Turnitin to enhance student citation and referencing techniques, and to assess assignment submissions as a component of the University's approach to managing Academic Integrity. While the use of Turnitin is not mandatory, the ANU highly recommends Turnitin is used by both teaching staff and students. For additional information regarding Turnitin please visit the ANU Online website.

Hardcopy Submission

For some forms of assessment (hand written assignments, art works, laboratory notes, etc.) hard copy submission is appropriate when approved by the Associate Dean (Education). Hard copy submissions must utilise the Assignment Cover Sheet. Please keep a copy of tasks completed for your records.

Late Submission

Individual assessment tasks may or may not allow for late submission. Policy regarding late submission is detailed below:

  • Late submission not permitted. If submission of assessment tasks without an extension after the due date is not permitted, a mark of 0 will be awarded.
  • Late submission permitted. Late submission of assessment tasks without an extension are penalised at the rate of 5% of the possible marks available per working day or part thereof. Late submission of assessment tasks is not accepted after 10 working days after the due date, or on or after the date specified in the course outline for the return of the assessment item. Late submission is not accepted for take-home examinations or other tasks specified as not permitting late submission.


All requests for Assessment Adjustment (including Requests for Extension and for Consideration of Extenuating Circumstances) should be submitted via ANUHub.

Referencing Requirements

The ANU is using Turnitin to enhance student citation and referencing techniques, and to assess assignment submissions as a component of the University's approach to managing Academic Integrity. For additional information regarding Turnitin please visit the Academic Skills website. In rare cases where online submission using Turnitin software is not technically possible; or where not using Turnitin software has been justified by the Course Convener and approved by the Associate Dean (Education) on the basis of the teaching model being employed; students shall submit assessment online via ‘Canvas’ outside of Turnitin, or failing that in hard copy, or through a combination of submission methods as approved by the Associate Dean (Education). The submission method is detailed below.

Returning Assignments

All assignments will be marked and where appropriate feedback will be provided either: in class, or in person by appointment with the course lecturer, or via the course Canvas site.

Extensions and Penalties

Extensions and late submission of assessment pieces are covered by the Student Assessment (Coursework) Policy and Procedure The Course Convener may grant extensions for assessment pieces that are not examinations or take-home examinations. If you need an extension, you must request an extension in writing on or before the due date. If you have documented and appropriate medical evidence that demonstrates you were not able to request an extension on or before the due date, you may be able to request it after the due date.

Resubmission of Assignments

You are allowed to resubmit your assignments before the specific deadlines where specified for each assessment item. Any submission done after the deadline will be considered as a late submission and not be marked.

Privacy Notice

The ANU has made a number of third party, online, databases available for students to use. Use of each online database is conditional on student end users first agreeing to the database licensor’s terms of service and/or privacy policy. Students should read these carefully. In some cases student end users will be required to register an account with the database licensor and submit personal information, including their: first name; last name; ANU email address; and other information. In cases where student end users are asked to submit ‘content’ to a database, such as an assignment or short answers, the database licensor may only use the student’s ‘content’ in accordance with the terms of service — including any (copyright) licence the student grants to the database licensor. Any personal information or content a student submits may be stored by the licensor, potentially offshore, and will be used to process the database service in accordance with the licensors terms of service and/or privacy policy. If any student chooses not to agree to the database licensor’s terms of service or privacy policy, the student will not be able to access and use the database. In these circumstances students should contact their lecturer to enquire about alternative arrangements that are available.

Distribution of grades policy

Academic Quality Assurance Committee monitors the performance of students, including attrition, further study and employment rates and grade distribution, and College reports on quality assurance processes for assessment activities, including alignment with national and international disciplinary and interdisciplinary standards, as well as qualification type learning outcomes. Since first semester 1994, ANU uses a grading scale for all courses. This grading scale is used by all academic areas of the University.

Support for students

The University offers students support through several different services. You may contact the services listed below directly or seek advice from your Course Convener, Student Administrators, or your College and Course representatives (if applicable).

Dr Samira Nazar
samira.nazar@anu.edu.au

Research Interests


My research interests include entrepreneurship, entrepreneurial resources, ecosystems, and innovation within a contextual focus on fragile contexts or disadvantaged entrepreneurs.

Dr Samira Nazar

Wednesday 16:00 17:00
Wednesday 16:00 17:00
Dr Samira Nazar
samira.nazar@anu.edu.au

Research Interests


Dr Samira Nazar

Wednesday 16:00 17:00
Wednesday 16:00 17:00

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