Skip to main content
Unit outline_

INFO3333: Computing 3 Management

Semester 1, 2023 [Normal day] - Camperdown/Darlington, Sydney

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
Assumed knowledge
? 

None

Available to study abroad and exchange students

Yes

Teaching staff

Coordinator Rabiul Hasan, rabiul.hasan@sydney.edu.au
Type Description Weight Due Length
Monitored exam
? 
Final exam
Monitored online exam
30% Formal exam period 2 hours
Outcomes assessed: LO1 LO2 LO3 LO5 LO6 LO9
Participation workshop participation
Participation and completion of workshop practices
10% Multiple weeks N/A
Outcomes assessed: LO7 LO8
Online task Class activities
Completion of in-class activities
20% Multiple weeks N/A
Outcomes assessed: LO7 LO8
Small test Knowledge Test
Online knowledge test on the Canvas site
15% Week 07 N/A
Outcomes assessed: LO1 LO9 LO6 LO5 LO3 LO2
Small continuous assessment hurdle task group assignment Group assignment
Group project
20% Week 10
Due date: 07 May 2023 at 23:59
N/A
Outcomes assessed: LO1 LO8 LO7 LO4 LO3 LO2
Presentation group assignment Group presentation
Group project presentation
5% Week 11 N/A
Outcomes assessed: LO1 LO2 LO3 LO4 LO7 LO8
hurdle task = hurdle task ?
group assignment = group assignment ?

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
Monitored online 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.

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.

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.

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

You may only use generative AI and automated writing tools in assessment tasks if you are permitted to by your unit coordinator. If you do use these tools, you must acknowledge this in your work, either in a footnote or an acknowledgement section. The assessment instructions or unit outline will give guidance of the types of tools that are permitted and how the tools should be used.

Your final submitted work must be your own, original work. You must acknowledge any use of generative AI tools that have been used in the assessment, and any material that forms part of your submission must be appropriately referenced. For guidance on how to acknowledge the use of AI, please refer to the AI in Education Canvas site.

The unapproved use of these tools or unacknowledged use will be considered a breach of the Academic Integrity Policy and penalties may apply.

Studiosity is permitted unless otherwise indicated by the unit coordinator. The use of this service must be acknowledged in your submission as detailed on the Learning Hub’s Canvas page.

Outside assessment tasks, generative AI tools may be used to support your learning. The AI in Education Canvas site contains a number of productive ways that students are using AI to improve their learning.

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.

WK Topic Learning activity Learning outcomes
Week 01 Introduction to IT project management Lecture (2 hr) LO1 LO9
Week 02 Managing IT project: requirements and scope Lecture (2 hr) LO1 LO2 LO3
Introduction to IT project management Workshop (1 hr) LO1 LO9
Week 03 Managing IT project: time Lecture (2 hr) LO1 LO2 LO3
Managing IT project: requirements and scope Workshop (1 hr) LO1 LO2 LO3
Week 04 Managing IT project: cost Lecture (2 hr) LO1 LO2 LO3
Managing IT project: time Workshop (1 hr) LO1 LO2 LO3
Week 05 Managing IT project: quality Lecture (2 hr) LO1 LO2 LO3
Managing IT project: time Workshop (1 hr) LO1 LO2 LO3
Week 06 Managing IT project: risk Lecture (2 hr) LO1 LO2
Managing IT project: quality Workshop (1 hr) LO1 LO2 LO3
Week 07 Knowledge Test Lecture (2 hr) LO1 LO2 LO3
Managing IT project: risk Workshop (1 hr) LO1 LO2
Week 08 IT project communication and integration management Lecture (2 hr) LO1 LO2 LO5
Project practices Workshop (1 hr) LO1 LO2 LO3
Week 09 IT project leadership and governance Lecture (2 hr) LO1 LO2 LO5 LO6
IT project communication and integration management Workshop (1 hr) LO1 LO2 LO5
Week 10 Introduction to services model and services management Lecture (2 hr) LO1 LO2
IT project leadership and governance Workshop (1 hr) LO1 LO2 LO5 LO6
Week 11 IT service management functions and processes Lecture (2 hr) LO1 LO2
Introduction to services model and services management Workshop (1 hr) LO1 LO2
Week 12 IT service delivery tools, standards, and practices Lecture (2 hr) LO2 LO9
IT service management functions and processes Workshop (1 hr) LO1 LO2
Week 13 Course review Lecture (2 hr) LO1 LO2 LO3
IT service delivery tools, standards, and practices Workshop (1 hr) LO2 LO9

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 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.

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
GQ1 GQ2 GQ3 GQ4 GQ5 GQ6 GQ7 GQ8 GQ9

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.