Outline

Overview

Project management requires complex planning decisions with regards to schedules, budgets and resources in both traditional and agile environments. This unit of study introduces students to tools, methods and approaches such as the work breakdown structure, milestone planning, precedence diagram, Gantt charts and critical pathways. These tools and techniques help project managers balance time, cost and resources; and understand the impact on the schedule, budget and resource allocation associated with potential risks.

Unit details and rules

Academic unit	Project Management
Credit points	6
Prerequisites ?	None
Corequisites ?	None
Prohibitions ?	CIVL3805
Assumed knowledge ?	None
Available to study abroad and exchange students	Yes

Teaching staff

Coordinator	Mehdi Rajabi Asadabadi, mehdi.rajabiasadabadi@sydney.edu.au
Lecturer(s)	Mehdi Rajabi Asadabadi, mehdi.rajabiasadabadi@sydney.edu.au

Type	Description	Weight	Due	Length
Participation	Class/online participation These marks will be awarded based on student participation in discussions	15%	Multiple weeks	N/A
Outcomes assessed:
Online task	Class quiz 1 Students will do an online quiz during their workshop.	15%	Week 05 Due date: 31 Aug 2022 at 19:00	1 hour
Outcomes assessed:
Assignment	Individual assignment Students will do a case study, and write a report.	30%	Week 06 Due date: 07 Sep 2022 at 19:00	1750 words
Outcomes assessed:
Online task	Class quiz 2 Students will do an online quiz during their workshop.	15%	Week 10 Due date: 12 Oct 2022 at 19:00	1 hour
Outcomes assessed:
Assignment	Group assignment Students will develop project plans for a given case study in groups of 5.	17.5%	Week 11 Due date: 19 Oct 2022 at 19:00	2500 words
Outcomes assessed:
Presentation	Group Presentation Students will present their group projects to the senior stakeholders.	7.5%	Week 12 Due date: 26 Oct 2022 at 19:00	5-10 minutes
Outcomes assessed:
= group assignment ?

Assessment summary

This unit of study has 5 assessment tasks.

1- Participation (15%): Participation includes a weekly contribution to online discussions/tasks on Canvas and during the synchronous sessions.

2- Individual assignment(30%): Students will write a short essay on a given topic based on academic research.

3- Class Quizzes (15% x 2): Students will be given 2 in-class quizzes. (week 5 and week 11)

4- Group assignment (17.5%): Students will work in groups of 5 to plan various activities of a case study project and submit a written plan report (week 12).

5- Group presentation (7.5%): Student groups will make a presentation (5-7 mins) to the class, giving an executive summary of their case study project plans (week 13).

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.

Text-matching software for Assignment Submission:
As part of the assessment process, text matching software such as Turnitin will be used to identify plagiarism and/or be used for providing feedback.

Confidential Peer Evaluation:
As part of the group contribution assessment process, collaborative & self-peer evaluation tools (e.g. SparkPlus, CATME, etc.) may be used, either on a confidential or non-confidential basis, to understand contributions and interactions amongst group members. Marks may be adjusted for an individual team member, following on from the peer evaluation process.

Mark Moderation:
Mark moderation: There may be statistically defensible moderation when combining the marks from each component to ensure consistency of marking between markers, and alignment of final grades with unit outcomes.

Detailed information for each assessment can be found on Canvas.

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 Detailed information for each assessment can be found on Canvas.	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.

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 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.

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
Ongoing	independent study	Independent study (132 hr)
Week 01	Introduction	Workshop (2 hr)
Week 02	CPM	Workshop (2 hr)
Week 03	PERT	Workshop (2 hr)
Week 04	Earned Value Management	Workshop (2 hr)
Week 05	Class Test	Workshop (1 hr)
Week 06	Resource planning	Workshop (2 hr)
Week 07	Cost Estimation	Workshop (2 hr)
Week 08	Procurement planning	Workshop (2 hr)
Week 09	Project planning using MS project	Workshop (2 hr)
Week 10	Integrating risk into estimations	Workshop (2 hr)
Week 11	Class Test	Workshop (1 hr)
Week 12	Planning project time, cost and resources in Agile environments	Workshop (2 hr)
Week 13	Class presentation	Workshop (2 hr)

Attendance and class requirements

Study commitment:

This unit of study is comprised of online learning and workshops. The workshops participation forms a significant component of the course and will demonstrate specific techniques discussed at a theoretical level in online learning. Workshop participation will include case study reviews, discussions, and some problem-solving exercises carried out individually or in groups. These sessions will also introduce students to the team based nature of projects, and provide opportunities for small group problem solving and discussion, based around case studies and model problems arising from realistic technical and business scenarios.

Attendance requirement

Students who fail to attend more than 3 workshops without prior approval will fail the unit.

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

All readings for this unit can be accessed through the Library eReserve, available on Canvas.

A Guide to the Project Management Body of Knowledge (6th Edition). PMI, 2017.
Project Management Step by Step: How to Plan and Manage a Highly Successful Project.

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 how existing organisational functions and processes may influence planning decisions about schedule, budget, and resources
LO2. compare implications associated with planning time, cost, and resources in different contexts (contrasting traditional and agile environments)
LO3. compare and contrast alternative formats of schedule, including milestone plan, precedence diagram, and Gantt chart
LO4. develop a precedence network from a given work breakdown structure, including durations, and determine the critical path
LO5. Determine the work effort of activities; develop strategic resource plan to deliver the project, and balance resources using schedule
LO6. estimate project costs and calculate a project budget
LO7. develop a risk analysis and management plan focusing on effect of risks on time, costs, and resources; calculate impact on the schedule, budget, and resource allocation associated with potential risks
LO8. relate time cost and evaluation to selection of suppliers and partners.

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.

Some content has been changed since this unit was last offered, based on student experience.

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

Required readings

Learning outcomes

Learning outcomes

Graduate qualities

Outcome map

Responding to student feedback

Responding to student feedback

Disclaimer

On this page

Useful links

Media

Student links

About us

Connect

Current students

ENGG1865: Project Time, Cost and Resources

Semester 2, 2022 [Normal day] - Remote

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

Required readings

Learning outcomes

Learning outcomes

Graduate qualities

Outcome map

Responding to student feedback

Responding to student feedback

Disclaimer

On this page

Useful links

Media

Student links

About us

Connect