Outline

Overview

Analytical thinking abilities are essential in building and communicating management strategy for all projects, from the most simple to the most complex. This unit develops critical judgment skills, applicable to complex problem situations involving uncertainty, incomplete information and dynamically interacting systems and contexts. Students will develop their ability to articulate a critical, reflected and well-reasoned response at a level that contributes to project strategy discussions. In addition the unit also equips students with knowledge and communication competencies that will be valuable in all aspects of their academic study. Students engage with theoretical frameworks and concepts in order to practice robust methods of questioning and argument. A central element of content is linking theory to practice with students' experience as the focal point. The unit will help students to clearly define the main problem at hand, organise and filter relevant evidence and issues, identify and evaluate logical connections, recognise critical assumptions and uncertainties, reach well-reasoned conclusions, develop and reflect on your own personal views, and present critical arguments in a constructive manner to colleagues and supervisors. These abilities are essential for an understanding of the relevance of epistemological and ontological considerations in relation to the broader, more thoroughgoing analysis of complex system dynamics to be developed in other advanced Project Management units.

Unit details and rules

Academic unit	Project Management
Credit points	6
Prerequisites ?	None
Corequisites ?	None
Prohibitions ?	ENGG5811
Assumed knowledge ?	None
Available to study abroad and exchange students	Yes

Teaching staff

Coordinator	Nader Naderpajouh, nader.naderpajouh@sydney.edu.au
Lecturer(s)	Sabine Ludewig, sabine.ludewig@sydney.edu.au

Assessment

The census date for this unit availability is 31 March 2025

Details
Criteria

Type	Description	Weight	Due	Length
Assignment	Critical literature review Critical review of the literature	25%	Week 07 Due date: 11 Apr 2025 at 23:59	1,500 words plus framework
Outcomes assessed:
Presentation	Poster presentation Poster presentation, peer review & defense and reflection	30%	Week 10 Due date: 09 May 2025 at 23:59	2 hours
Outcomes assessed:
Small continuous assessment	Tutorial presentation & facilitation Weekly group presentations & facilitation	25%	Weekly	continuing
Outcomes assessed:
Participation	Participation Contributions in class, quizzes & responses to focus and DB questions	20%	Weekly	continuing
Outcomes assessed:
= group assignment ? = AI allowed ?

Assessment summary

Presentation: Presentation of research posters, peer review & defense and reflection

Participation: Responses in class & weekly submissions to focus and discussion board questions.

Assignment: Critical literature review

Assignment: Tutorial presentation and facilitation

Details of each assessment task can be found on the Canvas site.

Confidential Peer Evaluation:

As part of the assessment process for group work, collaborative and self-peer evaluation tools (e.g., SparkPlus) may be utilised, either confidentially or non-confidentially, to assess contributions and interactions among group members. Based on the outcomes of the peer evaluation process, individual team member marks may be adjusted accordingly.

Reliability of Canvas Marks:

Canvas will be used in this unit for the submission of key assessments; however, it should not be relied upon to determine or predict a student’s final marks. Not all assessment results may be visible to students, and group or team marks may be adjusted for individual members based on peer evaluations.

Mark Moderation:

Statistically defensible moderation may be applied when combining marks from individual assessment components to ensure consistency between markers and alignment of final grades with the unit outcomes.

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	Work demonstrates initiative and ingenuity in research and reading, pointed and critical analysis of material, innovative interpretation of evidence, makes an insightful contribution to relevant debates, engages in the values, assumptions and contested meanings contained within sources, develops abstract or theoretical arguments on the strength of detailed research and interpretation. Properly documented; writing characterised by creativity, style, and precision.
Distinction	75 - 84	Work demonstrates initiative in research and reading, complex understanding and original analysis of subject matter and its context, both empirical and theoretical; makes good attempt to ‘get behind’ the issues and evidence and engage with its underlying assumptions, takes a critical, interrogative stance in relation to argument and interpretation, shows critical understanding of the concepts and practices covered in the unit of study. Properly documented; writing characterised by style, clarity, and some creativity.
Credit	65 - 74	Evidence of extensive reading and initiative in research, sound grasp of subject matter and appreciation of key issues and context. Engages critically and creatively with the topic or question, and attempts an analytical evaluation of material. Makes a good attempt to critique various interpretations, and offers a pointed and thoughtful contribution to relevant debates. Evidence of ability to think theoretically as well as empirically, to conceptualise and problematise issues.
Pass	50 - 64	Work demonstrates a reasonable understanding of subject matter, shows a genuine effort to avoid paraphrasing, has a logical structure and acceptable documentation, and attempts to mount a credible argument. May have weaknesses of clarity or structure.
Fail	0 - 49	Work may fail for any or all of the following reasons: irrelevance of content; inadequate level of research; poor presentation or grammar, structure so loose that it cannot be understood; unacceptable levels of paraphrasing; plagiarism or other acts of academic dishonesty; inadequate or misleading acknowledgement of information sources.

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

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:

For every calendar day up to and including ten calendar days after the due date, a penalty of 5% of the maximum awardable marks will be applied to late work. The penalty will be calculated by first marking the work, and then subtracting 5% of the maximum awardable mark for each calendar day after the due date. Example: Consider an assignment's maximum awardable mark is 10; the assignment is submitted 2 days late, and the assignment is marked as 7/10. After applying the penalty, marks will be: 7 - (0.5 x 2) = 6/10. For work submitted more than ten calendar days after the due date a mark of zero will be awarded. The marker may elect to, but is not required to, provide feedback on such work. Refer to section 7A of the Assessment procedures policy available at: http://sydney.edu.au/policies/showdoc.aspx?recnum=PDOC2012/267&RendNum=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
Progressive	Preparation of weekly material inside Canvas modules and submissions of responses to focus and discussion board questions.	Independent study (90 hr)
Week 01	Course introduction and overview	Lecture and tutorial (3 hr)
Week 02	Why do projects fail	Lecture and tutorial (3 hr)
Week 03	Becoming a reflective practitioner	Lecture and tutorial (3 hr)
Week 04	Critical thinking in PM using (self) reflection, logic, reasoning and volition - part 1	Lecture and tutorial (3 hr)
Week 05	Critical thinking in PM using (self) reflection, logic, reasoning and volition - part 2	Lecture and tutorial (3 hr)
Week 06	PM - Soft Skills	Lecture and tutorial (3 hr)
Week 07	Hard Skills	Lecture and tutorial (3 hr)
Week 08	Guest lecture	Lecture and tutorial (3 hr)
Week 09	Communicating effectively	Lecture and tutorial (3 hr)
Week 10	Rethinking Project Management	Lecture and tutorial (3 hr)
Week 11	Presentation, peer review, defense & reflection	Presentation (3 hr)
Week 12	Presentation, peer review, defense reflection	Presentation (3 hr)
Week 13	Course review	Lecture and tutorial (3 hr)

Attendance and class requirements

As per the Faculty of Engineering Coursework Awards Resolutions, students are expected to attend and actively engage in all timetabled activities of their respective units of study.

For this unit of study, students are expected to attend a minimum of 85 percent of timetabled activities. Exceptions to this requirement may be granted only by the Dean or the Head of School.

Failure to meet the minimum attendance requirement may result in a fail grade.

Heads of School, Program Directors and / or Unit of Study Coordinators may set additional assessment items where the attendance requirement differs from 85 percent.

Workshop Participation:

Students are required to engage in a professional manner during workshops. This includes being fully prepared by thoroughly reviewing and engaging with all materials provided by the Unit of Study Coordinator and / or teaching team prior to the workshop where applicable. Active participation in class activities, discussions, and team-based tasks is expected to ensure meaningful contributions and effective collaboration.

Students participating in learning activities, including workshops conducted remotely or online, are strongly encouraged to have their cameras turned on for the duration of the session. Failure to comply may result in a request to show cause. Continued non-compliance may be deemed as non-participation, which could impact assessment outcomes.

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

There are prescribed and recommended readings in this unit.

The prescribed readings are required and students are expected to prepare them BEFORE the online session each week.

The recommended readings are offered as extensions of knowledge for those students who hold a particular interest in a specific topic. They are not mandoatory.

All readings are made available in the e-Reserve section in CANVAS or inside the weekly modules.

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. Analyse complex problems by building an explanation
LO2. Critically evaluate the assumptions, conclusions and evidence used in given arguments
LO3. Synthesise ideas from diverse sources clearly, succinctly and accurately
LO4. Construct logical, perrsuasive arguments in spoken and written form to a high professional standard
LO5. Contribute constructively to team discussions and decision-making
LO6. Identify, exercise and reflect on personal values & beliefs, standards and ethical judgment consistent with the requirements of academic and professional practice
LO7. Apply a range of quantitative and qualitative research skills to identify and diagnose complex and unfamiliar problems
LO8. Navigate an AI-driven world with a critical mindset by recognising bias and misinformation in AI algorithms promoting the ethical use of AI and accepting responsibility for one's own thinking.

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.

The overall satisfaction rate of this unit is one of the highest in the School of Project Management. The following adaptations were made in response to student suggestions for further improvement: 1. Mandatory use of cameras in online sessions. 2. Offer more opportunities for speaking and active engagement in tutorials by cutting down the presentation time. 3. Maintaining the current reading load 4. Maintaining focus and discussion board questions

Additional information

Requests for References from Teaching Staff:

Unit of Study Coordinators and the teaching team for this unit are not obligated to, and typically will not, provide personal references for students.

Students requiring a letter of good standing should direct their request to the Student Centre as the first point of contact.

Support with Administrative / Enrolment Matters:

The Student Centre is the primary point of contact for students seeking assistance with administrative, enrolment, or timetable matters.

In certain cases, the School’s Administrative Team may be able to provide additional support and can be contacted at: project.management@sydney.edu.au.

Work, health and safety

We are governed by the Work Health and Safety Act 2011, Work Health and Safety Regulation 2011 and Codes of Practice.

Everyone has a responsibility for health and safety at work. The University’s Work Health and Safety policy explains the responsibilities and expectations of workers and others, and the procedures for managing WHS risks associated with University activities.

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

Additional information

Additional information

Work, health and safety

Disclaimer

On this page

Useful links

PMGT5811: Critical and Systems Thinking

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

Additional information

Additional information

Work, health and safety

Disclaimer

On this page

Useful links