INFS5002: Semester 1, 2022

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Units INFS5002 Semester 1 2022 [Normal day]

Unit of study_

INFS5002: Foundation in Digital Business

Semester 1, 2022 [Normal day] - Remote

Overview

This unit introduces students to the foundations of digital business and the emerging strategic role of information and communication technologies (ICT) in transforming organisations. Students develop an understanding of how ICT come to matter to organisations as they disrupt, change and transform organisations and organisational processes. The unit covers systems issues, information literacy and use, and how various digital technologies work together to create an infrastructure for digital business and how technologies (such as social media) are disrupting 'business as usual'. The role of information systems in capturing and distributing organisational knowledge and in enhancing decision-making is explored. Students gain an understanding of socio-technical networks, how information systems function, and how processes in organisations can be leveraged to create digital innovation and business transformation.

Unit details and rules

Unit code	INFS5002
Academic unit	Business Information Systems
Credit points	6
Prohibitions ?	INFS6001
Prerequisites ?	None
Corequisites ?	None
Assumed knowledge ?	None
Available to study abroad and exchange students	Yes

Teaching staff

Coordinator	Sebastian Boell, sebastian.boell@sydney.edu.au
Lecturer(s)	Sebastian Boell, sebastian.boell@sydney.edu.au

Type	Description	Weight	Due	Length
Assignment	End of Semester Reflective Essay An end of semester reflection on the unit learning. For details see Canvas.	30%	Formal exam period Due date: 03 Jun 2022 at 23:59	2100 words
Outcomes assessed:
Participation	Participation Individual	10%	Ongoing	n/a
Outcomes assessed:
Assignment	Reflection on Group Work Provide and respond to feedback on the performance of team members in.	20%	Week 09 Due date: 26 Apr 2022 at 23:59	1400 words
Outcomes assessed:
Assignment	Group Project Design proposal for system, with weekly formative submissions, see Canvas.	40%	Week 13 Due date: 26 May 2022 at 23:59	5000 words
Outcomes assessed:
= group assignment ?

Assessment summary

For details on assessments please see the assessment section and details provided on the Unit’s Canvas site.

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 sydney.edu.au/students/guide-to-grades.

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:

regular late penalties apply

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.

You may only use artificial intelligence and writing assistance tools in assessment tasks if you are permitted to by your unit coordinator, and if you do use them, you must also acknowledge this in your work, either in a footnote or an acknowledgement section.

Studiosity is permitted for postgraduate units unless otherwise indicated by the unit coordinator. The use of this service must be acknowledged in your submission.

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	[Session 1] Topic 1: Introduction to INFS5002; Topic 2: BIS as Technology; Topic 3: BIS as Disruption; Topic 4: Workshop - Literature Searching.	Lecture and tutorial (4 hr)
	[Session 2] Topic 5: BIS as Transformation; Topic 6: BIS as Project; Topic 7: BIS as Tool.	Lecture and tutorial (4 hr)
	[Session 3] Topic 8: BIS as Information Topic; Topic 9: BIS as Communication Topic; 10: BIS as Developed.	Lecture and tutorial (4 hr)
Week 02	[Session 4] Topic 11: BIS as System; Topic 12: BIS as Designed; Topic 13: Workshop - Design Thinking; Topic 14: BIS as System Dynamic.	Lecture and tutorial (4 hr)
	[Session 5] Topic 15: BIS as System Thinking;Topic 16: BIS and IT; Topic 17: BIS as Data.	Lecture and tutorial (4 hr)
	[Session 6] Topic 18: Workshop - Entity Relationship Diagrams (ERD); Topic 19: BIS as Workflow Topic 20: Workshop - Introduction to BPMN.	Lecture and tutorial (4 hr)
Week 03	[Session 7] Topic 21: BIS as Tool for Efficiency Topic 22: BIS as Insight Topic; 23: Workshop - Interface and Interaction design & development, Adobe XD.	Lecture and tutorial (4 hr)
	[Session 8] Topic 24: BIS as Strategy;Topic 25: BIS as Decision; Topic 26: BIS as Ethical Topic	Lecture and tutorial (4 hr)
	[Session 9] Topic 27: BIS as Media; Topic 28: BIS as Sustainable Topic 29: BIS as Choice.	Lecture and tutorial (4 hr)
Week 04	[Session 10] Topic 30: Summary and Farewell; Group Project pitch/presentation to clients.	Lecture and tutorial (4 hr)

Attendance and class requirements

Lecture recordings: All lectures will be available on Canvas for student use. Please note the Business School does not own the system and cannot guarantee that the system will operate. Participation in tutorials is mandatory. Students should ensure they attend and participate in all tutorials. Tutorial seesions WILL NOT be recorded.

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

see 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. Interpret, analyze, model and visualize representations of business processes, organisational structures and data.
LO2. Appraise and critically assess the use of digital technology in business, society and individual workplace contexts.
LO3. Effectively communicate and collaborate with different personalities, individually and in group settings, incomplex digital work environments to achieve positive and sustainable change outcomes.
LO4. Evaluate the operations of a business and suggest and design solutions and improvements enabled by digital technology.
LO5. Identify current trends in business information systems and ability to assess their implications for managers, organisations, employees and other stakeholders.
LO6. Appraise and Examine the problem space within which technology is used with the aim to argue for the design of a specific solution

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

‘More information can be found on Canvas’

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

Disclaimer

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