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Unit outline_

PMGT5871: Project Process Planning and Control

Semester 1, 2022 [Normal day] - Remote

This unit of study teaches fundamental theory and practice of project planning and control. Project planning and control are the key processes in project management, which moves the project from initiation through all its phases to a successful conclusion. Project planning refers to planning of time, cost and resources adequately to estimate the work needed and to effectively manage risk in a project.

Unit details and rules

Academic unit Project Management
Credit points 6
Prerequisites
? 
None
Corequisites
? 
None
Prohibitions
? 
PMGT6871
Assumed knowledge
? 

None

Available to study abroad and exchange students

Yes

Teaching staff

Coordinator Fatima Afzal, fatima.afzal@sydney.edu.au
Lecturer(s) Fatima Afzal, fatima.afzal@sydney.edu.au
Type Description Weight Due Length
Online task Final Quiz
Online quiz based on the content covered in weeks 1-13
15% Formal exam period
Due date: 06 Jun 2022 at 16:00
45 Min
Outcomes assessed: LO1 LO8 LO7 LO6 LO5 LO4 LO3 LO2
Assignment group assignment Group Assignment PMP
Students will prepare a PMP for a given case study in groups of 4-5
35% Mid-semester break
Due date: 24 Apr 2022 at 18:00
3000 words
Outcomes assessed: LO2 LO8 LO7 LO6 LO5 LO4 LO3
Assignment Project Control
Students will propose change control for a given case study
10% Week 10
Due date: 03 May 2022 at 18:00
1000 words
Outcomes assessed: LO6
Assignment group assignment Group Assignment Agile planning
Students will submit the agile project they created during the workshops
20% Week 13
Due date: 29 May 2022 at 18:00
3000 words
Outcomes assessed: LO1 LO2 LO5
Presentation group assignment Group Presentation
Students will present their Agile project to various stakeholders
10% Week 13
Due date: 25 May 2022 at 09:00
5-7 minutes
Outcomes assessed: LO1 LO8 LO7 LO6 LO5 LO4 LO3 LO2
Participation Class participation
Regular participation in the problem-solving activities
10% Weekly 2 hours
Outcomes assessed: LO1 LO8 LO7 LO6 LO5 LO4 LO3 LO2
group assignment = group assignment ?

Assessment summary

This unit has 6 assessment tasks. 

1- Class participation (10%): Class participation includes participation in various online and in-class activities.

2- Group Assignment 1 (35%): Students will prepare a Project Management Plan for a given case study.

3- Individual assignment (10%): Students will provide control techniques for a given case study.

4- Online Quiz (15%): Students will attempt an online quiz based on the constant covered during weeks 1-13. 

5- Group Assignment 2 (20%): Students will create a scrum project in Jira. 

6- Group Presentation (10%): Students will showcase their project during the workshop. 

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.

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.

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 Penalty: 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.

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 PMGT5871 Workshop (2 hr) LO1
Week 02 Plan and Control project Scope Workshop (2 hr) LO2
Week 03 Plan and Control Project Time Workshop (2 hr) LO3
Week 04 Plan and Control Project Cost and Quality Workshop (2 hr) LO6 LO8
Week 05 Plan and Control a Project using MS Project Workshop (2 hr) LO1 LO3 LO6 LO7 LO8
Week 06 Plan and Control Project HR and Procurement Workshop (2 hr) LO7
Week 07 Plan and Control Project Risk Workshop (2 hr) LO8
Week 08 Plan and Control Project Stakeholder Engagement and Communication Workshop (2 hr) LO4 LO5 LO6
Week 09 Earned Value Management Workshop (2 hr) LO6
Week 10 Planning and Controlling Agile Projects Workshop (2 hr) LO1 LO2 LO3 LO4 LO5 LO7 LO8
Week 11 Scrum Planning using Jira Workshop (2 hr) LO1 LO2 LO3 LO4 LO5 LO7 LO8
Week 12 Scrum Planning using Jira Workshop (2 hr) LO1 LO2 LO3 LO4 LO5 LO7
Week 13 Group Presentation Workshop (2 hr) LO1 LO2 LO3 LO4 LO5 LO7
Weekly Independent study before and after workshops Independent study (100 hr) LO1 LO2 LO3 LO4 LO5 LO6 LO7 LO8

Attendance and class requirements

Study commitment: 

This unit of study is comprised of online learning and workshops. The workshop participation forms a significant component of the course and will demonstrate specific techniques discussed at a theoretical level in online learning. Workshop participants 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

https://www.sydney.edu.au/handbooks/engineering_PG/rules/faculty_resolutions.shtml

 
 
 

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 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. Manage the interfaces and synergies between different components of project such as time,resources and cost
  • LO2. Develop Project scope and work breakdown structure
  • LO3. Make detailed time schedules using alternate formats, including precedence diagram and Gantt chart
  • LO4. Develop stakeholder engagement and communications plan
  • LO5. Develop a project plan and get agreement on it
  • LO6. Define project performance and control cycle.
  • LO7. Develop human resources and procurement plan
  • LO8. Develop project cost and risk register

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.

Changes made in assessment weights based on student feedback

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.