Outline

Overview

This unit is designed to develop competence in the management of technology. It will address all aspects of the management of technology, the nature and importance of technological change and innovation, within the context of the global knowledge economy, the management of the new product development process, the role of technology in manufacturing and service competitiveness, the role of IT in logistics management, supply chain strategies, and communication, and the characteristics of high technology markets.

Unit details and rules

Academic unit	Chemical and Biomolecular Engineering
Credit points	6
Prerequisites ?	None
Corequisites ?	None
Prohibitions ?	None
Assumed knowledge ?	Sound competence in all aspects of engineering, and some understanding of issues of engineering management
Available to study abroad and exchange students	No

Teaching staff

Coordinator	Kourosh Kalantar Zadeh, kourosh.kalantarzadeh@sydney.edu.au

Assessment

The census date for this unit availability is 1 September 2025

Details
Criteria

Type	Description	Weight	Due	Length	Use of AI
Research analysis	Technology Management Report Individual written literature review/report and assessment	30%	Week 04 Due date: 29 Aug 2025 at 23:59 Closing date: 05 Sep 2025	2000 words	AI allowed
Outcomes assessed:
Creative work	Technology Management Tools Report Individual written report about tools	15%	Week 07 Due date: 19 Sep 2025 at 23:59 Closing date: 26 Sep 2025	1500 words	AI allowed
Outcomes assessed:
Research analysis	Strategic Technology Management Case study (Report Part) Report for the group project	20%	Week 10 Due date: 17 Oct 2025 at 23:59 Closing date: 18 Jul 2025	6000 words report	AI allowed
Outcomes assessed:
Presentation	Strategic Technology Management Case study (Presentation Part) In-class presentation	20%	Week 10 Due date: 17 Oct 2025 at 23:59 Closing date: 24 Oct 2025	10 minutes	AI allowed
Outcomes assessed:
Evaluation	Individual Reflection report Individual written reflection report	15%	Week 13 Due date: 07 Nov 2025 at 23:59 Closing date: 14 Nov 2025	1500 words	AI allowed
Outcomes assessed:
= group assignment ?

Assessment summary

Six Assessment Tasks to be undertaken in the UoS

Three group/team assignments & three individual assignments are listed.

Details above and on the Canvas LMS.

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

For more information see guide to grades.

Use of generative artificial intelligence (AI)

You can use generative AI tools for open assessments. Restrictions on AI use apply to secure, supervised assessments used to confirm if students have met specific learning outcomes.

Refer to the assessment table above to see if AI is allowed, for assessments in this unit and check Canvas for full instructions on assessment tasks and AI use.

If you use AI, you must always acknowledge it. Misusing AI may lead to a breach of the Academic Integrity Policy.

Visit the Current Students website for more information on AI in assessments, including details on how to acknowledge its use.

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:

Assignments submitted after the time & due date without an approved extension will receive a 5% late penalty per day. They will not be accepted after a week following the scheduled time & due date.

Academic integrity

The University expects students to act ethically and honestly and will treat all allegations of academic integrity breaches seriously.

Our website provides information on academic integrity and the resources available to all students. This includes advice on how to avoid common breaches of academic integrity. Ensure that you have completed the Academic Honesty Education Module (AHEM) which is mandatory for all commencing coursework students

Penalties for serious breaches can significantly impact your studies and your career after graduation. It is important that you speak with your unit coordinator if you need help with completing assessments.

Visit the Current Students website for more information on AI in assessments, including details on how to acknowledge its use.

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 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. 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	1. Introduction to the management of technology; 2. Issues for consideration in team formation	Lecture (3 hr)
Week 02	Evolution of technology	Lecture (3 hr)
Week 03	Business Strategy Processes	Lecture (3 hr)
Week 04	Technology management tools	Lecture (3 hr)
Week 05	Technology strategies	Lecture (3 hr)
Week 06	Prediction of technologies	Lecture (3 hr)
Week 07	Competences to manage technologies	Lecture (3 hr)
Week 08	‘Servicification’ of product technology	Lecture (3 hr)
Week 09	Intellectual property strategy	Lecture (3 hr)
Week 10	Introducing new technologies	Lecture (3 hr)
Week 11	Emerging technologies	Lecture (3 hr)
Week 12	Disruptive technology management	Lecture (3 hr)
Week 13	Technology management overview	Lecture (3 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. demonstrate competence in working effectively as a member of a team, reflected in the successful design, management, and completion of a number of projects on the management of technology
LO2. Search for, evaluate and apply relevant information from a wide range of sources concerning the management strategies and technological challenges within engineering and other organisational environments as demonstrated in assessment tasks.
LO3. Employ superior written and verbal communication skills demonstrated through written reports and presentations designed for technical and general audiences.
LO4. Demonstrate knowledge of the technological forces and managerial issues shaping international engineering strategies and operations.
LO5. Analyse the strategies and operations of the management of technology as demonstrated through presentations and written reports.

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.

Student feedback has been received and duly considered. Assessments were adjusted.

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

Use of generative artificial intelligence (AI)

Late submission

Academic integrity

Learning support

Learning support

Simple extensions

Special consideration

Using AI responsibly

Support for students

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

ENGG5214: Management of Technology

Semester 2, 2025 [Normal day] - Camperdown/Darlington, Sydney

Overview

Overview

Unit details and rules

Teaching staff

Assessment

Assessment

Assessment summary

Assessment criteria

Use of generative artificial intelligence (AI)

Late submission

Academic integrity

Learning support

Learning support

Simple extensions

Special consideration

Using AI responsibly

Support for students

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