PMGT5884: Semester 2, 2023

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Units PMGT5884 Semester 2 2023 [Supervision]

Unit outline_

PMGT5884: Project Studies Thesis B

Semester 2, 2023 [Supervision] - Camperdown/Darlington, Sydney

Overview

Project Studies Thesis provides an opportunity for students to undertake a major project in a specialised area relevant to Project Management. It can be spread over a whole year, in two successive Units of Study of 6 credits points each, Project Studies Thesis A (PMGT5883) and Project Studies Thesis B (PMGT5884). Students will work individually to plan and write reports. Project Studies Thesis B covers the second half of the work required for a complete thesis project.

Unit details and rules

Academic unit	Project Management
Credit points	6
Prerequisites ?	PMGT5882 (result >75)
Corequisites ?	None
Prohibitions ?	None
Assumed knowledge ?	None
Available to study abroad and exchange students	No

Teaching staff

Coordinator	Petr Matous, petr.matous@sydney.edu.au
Lecturer(s)	Petr Matous, petr.matous@sydney.edu.au

Type	Description	Weight	Due	Length
Assignment	Thesis Refer to Masters by Coursework Thesis Manual for details.	90%	Formal exam period Due date: 13 Nov 2023 at 23:59	15000-20000 words
Outcomes assessed:
Presentation	Seminar Presentation Presentation of key points of thesis. Refer to Thesis Manual for details.	10%	Week 12 Due date: 29 Oct 2023 at 23:59	10 minutes
Outcomes assessed:
= hurdle task ?

Assessment summary

Assessment for this Unit is based on

Seminar presentation of key findings
Submission of completed thesis

Refer to Masters by Coursework Thesis Manual available from Canvas for details. Final thesis must also be submitted, using Turnitin, on this 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
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 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.

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.

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	Learning outcomes
Multiple weeks	Meetings with Supervisor	One-to-one tuition (12 hr)
Ongoing	Conduct of research, analysis, discussion, documented in academic thesis	Independent study (140 hr)

Attendance and class requirements

This Unit primarily involves independent study. You should plan to meet regularly with your supervisor throughout the Semester.

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. Drive a research project and take ownership in its articulation, design, planning, execution and documentation.
LO2. Conduct a critical review of literature relevant to a chosen topic with focus on identifying key themes, contributions, research gaps and issues.
LO3. Articulate and justify a researchable question or questions suitable for investigation.
LO4. Identify, select and justify relevant theory, research philosophy and research methods suitable for addressing a research question or problem in an academic manner.
LO5. Apply selected research method(s) with consideration of reliability and validity of results.
LO6. Draw conclusions based on raw data analysis and refine those conclusions in context based on consideration of methods and assumptions involved.
LO7. Demonstrate originality, ingenuity and initiative in dealing with critical research issues.
LO8. Document and report research work that demonstrates a clear line of argument and follows a format appropriate for academic literature.
LO9. Demonstrate ability to disseminate research work accurately, informatively and constructively to both academic and non-academic audiences in a professional manner.

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.

Updated to reflect changes for 2023.

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

Learning outcomes

Learning outcomes

Graduate qualities

Outcome map

Responding to student feedback

Responding to student feedback

Disclaimer

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