Outline

Overview

This unit aims to evaluate the main assumptions that underlie how technology is understood and employed by leaders and managers. Topics covered in this unit are current technological developments, such as artificial intelligence, big data, consumerisation of technology, the role of data and knowledge in management, the future of work, and digital disruption and transformation. This unit provides students with an opportunity to critically examine contemporary technology trends and their implications, with a view to unearth the lasting patterns by which technological innovation evolves and impacts the role of the manager, the worker, organisation and society more broadly.

Unit details and rules

Unit code	FMBA5011
Academic unit	Management Education
Credit points	6
Prohibitions ?	None
Prerequisites ?	None
Corequisites ?	None
Assumed knowledge ?	None
Available to study abroad and exchange students	No

Teaching staff

Coordinator	Kai Riemer, kai.riemer@sydney.edu.au
Lecturer(s)	Daniel Schlagwein, schlagwein@sydney.edu.au
Lecturer(s)	Kai Riemer, kai.riemer@sydney.edu.au

Type	Description	Weight	Due	Length
Assignment	Individual essay Essay	40%	Mid-semester break Due date: 17 Sep 2022 at 23:00	2200 words
Outcomes assessed:
Small continuous assessment	Individual assignment (continuous week-by-week) Oral journal	30%	Multiple weeks	2 minutes
Outcomes assessed:
Presentation	In-class group activities and presentations Presentation	30%	Weekly	10 minutes
Outcomes assessed:
= group assignment ?

Assessment summary

Individual assignment (continuous week-by-week): You will keep an individual, oral learning journal which will assist you in keeping up to date with required work, as well as providing you and the unit coordinator with timely feedback on your learning progress. In the journal, you will reflect on each session utilising a set of brief instructions provided via Canvas for each of the submissions. You must submit the learning journal in the form of short videos, submitted via Canvas after daily sessions.
In-class group activities and presentations: In groups, you will be required to analyse and critically evaluate case study materials, identify underlying assumptions and draw out the inherent tensions in the presented cases. You will be asked to approach your analysis from divergent viewpoints, synthesise your ideas and effectively communicate the results in a short team presentation. The group activity might also involve participating in a mock debate around a controversial statement.
Individual essay: In this task, you must demonstrate the understanding you gained in this unit of study regarding the role of technology in managing knowledge and people in organisations. You will be asked to reflect critically on a business scenario involving technology. You will approach your evaluation from divergent perspectives, elucidate the tensions created by these perspectives, and productively resolve and synthesise the insights revealed by those tensions.

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	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.

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	Introduction: overview and icebreaker	Lecture and tutorial (4 hr)
Week 01	The information society: blockchain and digital assets	Lecture and tutorial (4 hr)
Week 02	Foundations: organization, management, leadership and technology	Lecture and tutorial (4 hr)
Week 02	New digital forms of working: remote working, gig economy and digital nomadism	Lecture and tutorial (4 hr)
Week 03	Changing nature of digital: platformisation, social media, surveillance capitalism	Lecture and tutorial (4 hr)
Week 04	Foundations: knowledge and cognition	Lecture and tutorial (4 hr)
Week 05	The data-driven organisation: big data, analytics and decision making	Lecture and tutorial (4 hr)
Week 06	Dawn of the machine age: AI, automation and digital humans	Lecture and tutorial (4 hr)
Week 07	What is disruption? Innovation beyond business as usual	Lecture and tutorial (4 hr)
Week 07	Futures thinking in uncertain times	Lecture and tutorial (4 hr)

Attendance and class requirements

Lecture recordings: All lectures and seminars are recorded and 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 or that every class will be recorded. Students should ensure they attend and participate in all classes.

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

All readings and materials will be made available on Canvas on a week-by-week basis.

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. examine in a critical manner contemporary digital technology trends and their implications for organisations and people
LO2. demonstrate a refined understanding of the complex inter-relationships among knowledge, technology and people in organisations
LO3. analyse and demonstrate implications for managing people of novel workplace technologies
LO4. effectively analyse business cases of IT in organisations and communicate your insights in collaborative team settings.

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.

Minor improvements have been made since this unit was last offered. New material on the Covid-19 pandemic has been incorporated.

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

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

FMBA5011: Leading in a Digital World

Intensive August, 2022 [Block mode] - 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

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