Outline

Overview

This unit teaches students vital skills for an effective professional career: preparing them to eventually be a leader, who ensures that others achieve high-quality outcomes. Building on experiences from earlier units (that covered working in a team, agile development practices, paying attention to needs and characteristics of users, and the value of data) this unit teaches students key concepts needed as a manager, or when working with managers. The focus includes managing projects, managing services, and ensuring governance.

Unit details and rules

Academic unit	Computer Science
Credit points	6
Prerequisites ?	12 credit points of 2000-level units
Corequisites ?	None
Prohibitions ?	INFO3402 or INFO6007
Assumed knowledge ?	None
Available to study abroad and exchange students	Yes

Teaching staff

Coordinator	Ahmad Azab, ahmad.azab@sydney.edu.au
Lecturer(s)	Ahmad Azab, ahmad.azab@sydney.edu.au
Tutor(s)	Weiyi Wang, weiyi.wang@sydney.edu.au
	Omar Acuache Briceno, omar.acuache@sydney.edu.au
	Vinit Iyer, vinit.iyer@sydney.edu.au

Assessment

The census date for this unit availability is 31 March 2025

Details
Criteria

Type	Description	Weight	Due	Length
Supervised exam ?	Final exam The final examination is a two hours supervised exam.	50%	Formal exam period	2 hours
Outcomes assessed:
Small test	Knowledge Test Online knowledge test on the Canvas site	15%	Week 07 Due date: 13 Apr 2025 at 23:00	N/A
Outcomes assessed:
Small continuous assessment	Group assignment Group project	30%	Week 10 Due date: 11 May 2025 at 23:59	N/A
Outcomes assessed:
Presentation	Group presentation Group project presentation: Note that each member of the group must present	5%	Week 11 Due date: 18 May 2025 at 23:00	10 minutes for each group
Outcomes assessed:
= group assignment ? = AI allowed ?

Assessment summary

Knowledge Test
It is a Canvas-based online test. The details of the format and coverage will be provided in lectures.

Group Assignment
The group assignment will be completed by groups of approximately 4 students. The assignment will involve the application of many of the concepts covered in lectures. It will require extensive collaboration between group members. The assessment submission will be in the form of a detailed written report. Students will also be asked to submit individual peer assessments that will be used to moderate marks within the group.

Further details of the assignment will be available on Canvas. Students must participate in group assessments to pass the unit.

Presentation
It is a group presentation based on the Group Project.

Participation

Individual participation and completion of workshop practices

Online task / Class activities

Individual participation and completion of activities in classes

Final Exam
The final examination is a two hours supervised exam. All of the materials in the unit will be examinable. Further details, including the format and expectations regarding the final examination will be provided in lectures.

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. It is a policy of the School of Computer Science that in order to pass this unit, a student must achieve at least 40% in the written examination. For subjects without a final exam, the 40% minimum requirement applies to the corresponding major assessment component specified by the lecturer. A student must also achieve an overall final mark of 50 or more. Any student not meeting these requirements may be given a maximum final mark of no more than 45 regardless of their average.

For more information see sydney.edu.au/students/guide-to-grades.

IMPORTANT: School policy relating to Academic Dishonesty and Plagiarism.

In assessing a piece of submitted work, the School of Computer Science may reproduce it entirely, may provide a copy to another member of faculty, and/or to an external plagiarism checking service or in-house computer program and may also maintain a copy of the assignment for future checking purposes and/or allow an external service to do so.

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.

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:

Late assignment submissions immediately attract a 5% per day penalty (or part thereof). Submissions with more than 10 days late will receive a mark of 0.

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 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	Introduction to IT project management	Lecture (2 hr)
Week 02	IT Project Methods and Requirements Gathering Strategies	Lecture and tutorial (3 hr)
Week 03	IT Project Time: Tools, Techniques, Real-world Case Study	Lecture and tutorial (3 hr)
Week 04	IT Project Cost: Tools, Techniques, Real-world Case Study	Lecture and tutorial (3 hr)
Week 05	IT Project Quality: Tools, Techniques, Real-world Case Study	Lecture and tutorial (3 hr)
Week 06	IT Project Resources: Tools, Techniques, Real-world Case Study	Lecture and tutorial (3 hr)
Week 07	Knowledge Test	Lecture and tutorial (3 hr)
Week 08	IT Project Risk: Tools, Techniques, Real-world Case Study	Lecture and tutorial (3 hr)
Week 09	IT Project Outsourcing and Procurement Strategy	Lecture and tutorial (3 hr)
Week 10	IT Project Leadership, Governance, and Alignment	Lecture and tutorial (3 hr)
Week 11	IT service management functions and processes & IT Project in Different Industries: Presentation 1	Lecture and tutorial (3 hr)
Week 12	IT service delivery tools, standards, and practices & IT Project in Different Industries: Presentation 2	Lecture and tutorial (3 hr)
Week 13	Course review	Lecture and tutorial (3 hr)

Attendance and class requirements

Attendance is compulsory.

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

RECOMMENDED REFERENCE

Schwalbe, K, Information Technology Project Management (9th Edition). Cengage Learning, 2019.

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. Explain the principles and processes of IT project management, services management, and governance
LO2. Demonstrate basic proficiency in IT project management and services management tools and practices
LO3. Demonstrate basic skills in the core project management knowledge areas
LO4. Use project management tools and techniques to develop a project plan
LO5. Demonstrate a fundamental understanding of the strategies and practices of communication and leadership in an IT project
LO6. Describe the role of governance, compliance, and ethics in IT projects and services in organisational, social, and legal contexts
LO7. Demonstrate team skills, including team leader selection, negotiation and evaluation of team responsibilities, and team communication management
LO8. Use oral and written communication skills in discussions, presentations, and project reports
LO9. Describe the structure and role of relevant methods, frameworks, and standards such as PMBOK, Agile, COBIT, ITIL, ISO/IEC 20000, CMMI

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 significant changes have been made since this unit was last offered.

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) 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

Disclaimer

On this page

Useful links

INFO3333: Computing 3 Management

Semester 1, 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) 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

Disclaimer

On this page

Useful links