INFS6600: Semester 1, 2025

Overview

This unit bridges the gap between theory and practice by integrating the knowledge and key skills developed across the Digital Business or Business Information Systems specialisation. It provides students with a practical teamwork experience to identify, analyse, and solve contemporary problems by exploring the socio-technical ecosystem in which a digital business operates. This experiential learning opportunity enhances students’ career-readiness by consolidating their professional skills and ability to apply the Business Information Systems knowledge in authentic situations.

Unit details and rules

Academic unit	Business Information Systems
Credit points	6
Prerequisites ?	Completion of 18 credit points of units towards the Digital Business or Business Information Systems specialisation (including INFS5002)
Corequisites ?	Completion of 6 credit points towards the Digital Business or Business Information Systems specialisation
Prohibitions ?	None
Assumed knowledge ?	None
Available to study abroad and exchange students	No

Teaching staff

Coordinator	Corina Raduescu, corina.raduescu@sydney.edu.au

Assessment

The census date for this unit availability is 31 March 2025

Details
Criteria

Type	Description	Weight	Due	Length
Assignment	Groupwork Accountability Survey Peer review to assess members contribution and determine their group marks	0%	Multiple weeks	Up to 8 mins / submission
Outcomes assessed:
Small continuous assessment	Leadership and Professional Development Multiple submissions	30%	Multiple weeks	Up to 2500 words
Outcomes assessed:
Presentation	Project Progress Infographic submission Project progress updates	10%	Multiple weeks	5-6 minutes
Outcomes assessed:
Assignment	Group Charter Each group must establish roles and norms.	3%	Week 02 Due date: 09 Mar 2025 at 23:59 Closing date: 09 Mar 2025	Up to 2 pages submission
Outcomes assessed:
Assignment	Business Models Submission of partner's business and operating models, and IS architecture	7%	Week 03 Due date: 14 Mar 2025 at 23:59 Closing date: 14 Mar 2025	Up to 5 slides
Outcomes assessed:
Assignment	Pitch to Partner Slides submission before class Delivered during class time	5%	Week 05 Due date: 26 Mar 2025 at 23:59 Closing date: 26 Mar 2025	5 mins presentation + 5 mins Q&A
Outcomes assessed:
Assignment	Innovation Review Submission of Innovation Scorecard and infographic of solution idea	5%	Week 07 Due date: 09 Apr 2025 at 23:59 Closing date: 09 Apr 2025	5-6 mins presentation
Outcomes assessed:
Presentation	Boardroom Presentation Slides submission before class Live presentation	15%	Week 12 Due date: 21 May 2025 at 23:59 Closing date: 21 May 2025	5 min presentation + 5 min Q&A
Outcomes assessed:
Assignment	Group Report Written report	25%	Week 13 Due date: 01 Jun 2025 at 23:59 Closing date: 01 Jun 2025	Up to 3,000 words
Outcomes assessed:
= hurdle task ? = group assignment ? = AI allowed ?

Assessment summary

Group Charter - submisison of a group project charter including group roles and norms.
Business Models - submission of partner's business business and operating models, and IS architecture.
Pitch to Partner - presentation of a compelling case for problem/ opportunity and a project plan.Collection of feedback from partner, academics, and peers.
Innovation Review - presentation of Innovation scorecard (template) and infographic of solution idea, to ensure innovative and creative thinking is embedded in the final solution.
Project Progress – individual presentation by each member of the team on the project progress aswell as insights and lessons learned on professional skills.
Group Report – detailed report clearly communicating the project background, approach, analyses,solution recommendation and implementation.
Boardroom Presentation – presentation of the project work with focus on solution recommendation.
Leadership and Professional Development – exploration, development, and reflection on leadership and professional skills through the development of a portfolio for job applications, career development, and workplace success (professional identity). Multiple submisisons, with the final one being a hurdle task -students must pass it in order to pass the unit. Failing the hurdle task results in a capped fail mark of 49 in the unit.

Assessment criteria

The University awards common result grades, set out in the Coursework Policy (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.

Use of generative artificial intelligence (AI) and automated writing tools

Except for supervised exams or in-semester tests, you may use generative AI and automated writing tools in assessments unless expressly prohibited by your unit coordinator.

For exams and in-semester tests, the use of AI and automated writing tools is not allowed unless expressly permitted in the assessment instructions.

The icons in the assessment table above indicate whether AI is allowed – whether full AI, or only some AI (the latter is referred to as “AI restricted”). If no icon is shown, AI use is not permitted at all for the task. Refer to Canvas for full instructions on assessment tasks for this unit.

Your final submission must be your own, original work. You must acknowledge any use of automated writing tools or generative AI, and any material generated that you include in your final submission must be properly referenced. You may be required to submit generative AI inputs and outputs that you used during your assessment process, or drafts of your original work. Inappropriate use of generative AI is considered a breach of the Academic Integrity Policy and penalties may apply.

The Current Students website provides information on artificial intelligence in assessments. For help on how to correctly acknowledge the use of AI, please refer to the  AI in Education Canvas site.

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.

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.

Support for students

The Support for Students Policy 2023 reflects the University’s commitment to supporting students in their academic journey and making the University safe for students. It is important that you read and understand this policy so that you are familiar with the range of support services available to you and understand how to engage with them.

The University uses email as its primary source of communication with students who need support under the Support for Students Policy 2023. Make sure you check your University email regularly and respond to any communications received from the University.

Learning resources and detailed information about weekly assessment and learning activities can be accessed via Canvas. It is essential that you visit your unit of study Canvas site to ensure you are up to date with all of your tasks.

If you are having difficulties completing your studies, or are feeling unsure about your progress, we are here to help. You can access the support services offered by the University at any time:

Support and Services (including health and wellbeing services, financial support and learning support)
Course planning and administration
Meet with an Academic Adviser

Weekly schedule

WK	Topic	Learning activity
Week 01	Unit Introduction & Project Immersion	Workshop (3 hr)
Week 02	Partner Briefing & Group Collaboration	Workshop (3 hr)
Week 03	Problem & Opportunity Scoping	Workshop (3 hr)
Week 04	Project Planning	Workshop (3 hr)
Week 05	Pitch to Partner	Workshop (3 hr)
Week 06	Research & Analysis	Workshop (3 hr)
Week 07	Ideation	Workshop (3 hr)
Week 08	Prototyping	Workshop (3 hr)
Week 09	Prototype Validation	Workshop (3 hr)
Week 10	Implementation Planning	Workshop (3 hr)
Week 11	Presentation Planning	Workshop (3 hr)
Week 12	Boardroom Presentation	Workshop (3 hr)
Week 13	Review & Closure	Workshop (3 hr)

Attendance and class requirements

The capstone unit is a project unit and the focus is on “in class facilitation and mentoring” as opposed to content delivery.
There will be a strong emphasis on leadership skills and professional development based on proactive participation and engagement in the project.
It is critical students attend all workshops to ensure they successfully achieve the learning outcomes, graduate qualities and deliver a high-quality solution to the business partner.
By week 2 students should attend classes, be part of a group and be familiar with the unit expectations, given the first presentation to the partner is in week 5.
Students contribution will be monitored during the unit given the high groupwork component. The groupwork marks for each member will be adjusted based on the peer review assessment.
If a student doesn't contribute to the groupwork, there is a mechanism in place that can lead to their exclusion from the group. This means the excluded student will be required to complete the project alone and will lead to failure of the graduate qualities associated with groupwork.
Students can use Generative AI for the purpose of completing the assessments, such as, to help students to understand the complexities of the industry landscape, to source relevant information, however the work must be fully contextualised to the business case and their personal development in order to attract marks. Generic answers will not attract any marks.
The Final submission for the Leadership and Professional Development is a Hurdle Task. Failing the hurdle task results in a capped fail mark of 49 in the 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.

Required readings

To be provided via Canvas Reading List.

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. Apply advanced principles and theories related to digital business and information systems in the context of an actual business organisation
LO2. Analyse open-ended business scenarios and evaluate the implications of digital technologies for business
LO3. Apply techniques for organisational and business process analyses to resolve an actual business problem
LO4. Communicate in a professional and confident manner, both orally and in writing, with actual business professionals
LO5. Apply team management concepts and theories to effectively work in, and manage, cross-functional teams
LO6. Analyse and reflect critically on the ethical and social implications of digital business

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.

Introduction of additional progressive assessments to provide early feedback and account officially for the work done. In collaboration with the partner the project has been updated.

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.

This unit of study outline was last modified on 03 Feb 2025.

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

Use of generative artificial intelligence (AI) and automated writing tools

Late submission

Academic integrity

Learning support

Learning support

Simple extensions

Special consideration

Using AI responsibly

Support for students

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

Disclaimer

On this page

Useful links

Media

Student links

About us

Connect

Current students

INFS6600: Business Information Systems Capstone

Semester 1, 2025 [Normal evening] - Camperdown/Darlington, Sydney

Overview

Overview

Unit details and rules

Teaching staff

Assessment

Assessment

Assessment summary

Assessment criteria

Use of generative artificial intelligence (AI) and automated writing tools

Late submission

Academic integrity

Learning support

Learning support

Simple extensions

Special consideration

Using AI responsibly

Support for students

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

Disclaimer

On this page

Useful links

Media

Student links

About us

Connect