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Unit outline_

PMGT5873: Project Economics and Finance

Semester 1, 2020 [Online] - Camperdown/Darlington, Sydney

This course equips members of project management teams with information and tools to do financial appraisal and optimise decision making. It imparts basic knowledge and competencies required in project appraisal and financial management applicable to all sectors of industry and business. These include services, business investment, RandD, capital projects, local, state and national government departments and agencies. Topics include: Review of the Fundamentals of Project Economics and Financial Techniques; Implementation of Fundamental Principles including EUAC, NPV, IRR, B/C, Valuation, Depreciation, Replacement Studies and Life Cycle Costing; Development of Project Alternatives and Application of the Analysis Techniques; Sensitivity Analysis, Risk Analysis and Management; Project Funding and Selection; Project Appraisal Report.

Unit details and rules

Academic unit Civil Engineering
Credit points 6
Prerequisites
? 
None
Corequisites
? 
None
Prohibitions
? 
PMGT6873
Assumed knowledge
? 

None

Available to study abroad and exchange students

No

Teaching staff

Coordinator Shahadat Uddin, shahadat.uddin@sydney.edu.au
Lecturer(s) Amela Peric, amela.peric@sydney.edu.au
Type Description Weight Due Length
Participation Class participation
10% Multiple weeks n/a
Outcomes assessed: LO6 LO10 LO9 LO8 LO7
Tutorial quiz, small test or online task Knowledge test
20% Week 07 n/a
Outcomes assessed: LO6 LO10 LO9 LO8 LO7
Assignment group assignment Group assignment
40% Week 12 n/a
Outcomes assessed: LO1 LO2 LO3 LO4 LO6 LO8
Assignment group assignment Individual assignment
30% Week 13 n/a
Outcomes assessed: LO7 LO8 LO9 LO10
group assignment = group assignment ?

Assessment summary

  • Group assignment: Group assignment has two parts: written report and presentation. The written report covers a case project, as well as literature review (background research) into Project Financial Evaluation principles including topics such as quantitative methods, qualitative methods, funding options etc. The students are expected to use evaluation techniques covered in weekly tutorials (EUAC, NPV, Profitability Analysis, IRR, Incremental analysis, Payback analysis, Cost Benefit Analysis, Valuation and Replacement studies, Life Cycle Costing analysis, Risk and Sensitivity Analysis) and apply them on a chosen case project. The second part of the assignment is a brief class presentation of the written report. Feedback collected via peer review will be used to determine the individual marks for this assignment.
  • Individual assignment: The purpose of the Individual assignment is to articulate and reflect upon the competencies developed in the unit with appropriate substantiations. It summarises class experience, teamwork, newly acquired knowledge and the effectiveness of integration of the new information onto the existing knowledge base.
  • Knowledge test: The Knowledge test is an online quiz with questions related to theoretical components of the unit, as well as questions related to application of theory in practice. The Knowledge Test is conducted in class (Week 8) for students enrolled in weekly mode, while online students will have the choice to either attend this test with the weekly class or to conduct the test via Skype.
  • Class participation: Weekly questions will be posted on the Discussion Board (Weeks 2-11), giving the opportunity to students to demonstrate not only their understanding of topics covered in this unit, but also their continuous class engagement and practical and reflective thinking.

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

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.

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 02 Online session 1 Online class (1 hr) LO1 LO2
Week 04 Online session 2 Online class (1 hr) LO1 LO2 LO3 LO4 LO8
Week 08 Online session 3 Online class (1 hr) LO1 LO2 LO3 LO4 LO5 LO6 LO7 LO8 LO9 LO10
Week 12 Online session 4 Online class (1 hr) LO1 LO2 LO3 LO4 LO5 LO6 LO7 LO8 LO9 LO10

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.

  • Grant, Ireson and Leavenworth, Principles of Engineering Economy (Latest). J. Wiley & Sons

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. demonstrate a working knowledge of the fundamentals of project economics and finance and practical understanding of the framework typically used to analyse proposals
  • LO2. demonstrate a working knowledge of the techniques for financial appraisal of projects in public and private sectors
  • LO3. demonstrate a working knowledge of the techniques for evaluating the various perspectives of stakeholders in relation to projects appraisal and development
  • LO4. demonstrate a working knowledge of valuation, depreciation and capitalisation methods
  • LO5. demonstrate a basic understanding of the various methods for life cycle cost determination and their application in capital asset renewal decisions
  • LO6. demonstrate a basic knowledge of unit cost determination in production ventures
  • LO7. perform multi-criteria analysis, using a variety of typical financial analysis techniques, for optimum selection and application of a given project appraisal to meet specific business objectives
  • LO8. analyse various funding options and their effective selection and management in order to ensure the project's business objectives
  • LO9. demonstrate financial modelling vis-a-vis strategic analysis techniques including development of a framework for sensitivity analysis such as risk identification, minimisation, allocation, documentation and management in economic appraisal
  • LO10. effectively manage selected project financial objectives incorporating economics and non-economic based project appraisal techniques during planning, implementation and operation phases of the project to ensure that the objectives are met or exceeded.

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 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.