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PMGT6867: Quantitative Methods: Project Management (2019 - Semester 2)

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Unit: PMGT6867: Quantitative Methods: Project Management (6 CP)
Mode: Normal-Evening
On Offer: Yes
Level: Postgraduate
Faculty/School: Project Management
Unit Coordinator/s: Dr Uddin, Shahadat
Session options: Semester 1, Semester 2, Semester 1 Online, Semester 2 Online
Versions for this Unit:
Site(s) for this Unit: http://elearning.sydney.edu.au/
Campus: Camperdown/Darlington
Pre-Requisites: None.
Brief Handbook Description: Methods studied in this unit are used in a wide range of project management tasks and problems. The unit explains why and where particular methods are used and provides examples and opportunities to apply these methods in practice. This UoS will also facilitate the understanding of the mechanics of these methods and their underlying theory.
Assumed Knowledge: Expect the basic understanding of the organisational context of projects and limited experience of working in a project team. Also, familiarity of different quantitative methods applied in the context of different project environments.
Timetable: PMGT6867 Timetable
Time Commitment:
# Activity Name Hours per Week Sessions per Week Weeks per Semester
1 Lecture 1.75 1 13
2 Tutorial 1.25 1 13
3 Independent Study 6.00 13
T&L Activities: A variety of learning situations will be employed during the unit of study including directed reading, lectures, tutorial discussion, and assessed assignments. To benefit fully from this unit it is important to participate fully in all aspects of the unit of study.

Attendance at lectures and tutorials is crucial for your understanding of the course. All material presented in lectures is examinable. Please note participation in class lectures and tutorials is beneficial for your learning. Also note that attendance itself does not constitute participation. As participation in class, whether it is listening to lectures or getting involved in other class activities, is an important part of the learning process it is important that you attend both lectures and tutorials.

Attributes listed here represent the key course goals (see Course Map tab) designated for this unit. The list below describes how these attributes are developed through practice in the unit. See Learning Outcomes and Assessment tabs for details of how these attributes are assessed.

Attribute Development Method Attribute Developed
Reviewing and comparing different quantitative methods used in project management budgeting, scheduling, quality management and forecasting. (Lectures, tutorials, tests, exam and assignment). Project Methods (Level 3)
Practice explaining and interpreting numerical results (Group discussion and assignment). Project Communication (Level 3)

For explanation of attributes and levels see Project Management Learning Progression Table 2019.

Learning outcomes are the key abilities and knowledge that will be assessed in this unit. They are listed according to the course goal supported by each. See Assessment Tab for details how each outcome is assessed.

Project Methods (Level 3)
1. Be able to explain the features of different quantitative methods used in a range of project management functions including budgeting, scheduling, quality management and forecasting.
2. Be able to take into account the limitations and capabilities of each method in selecting and applying quantitative methods for different project management tasks.
3. Be able to reliably interpret the numerical values generated by these methods, correctly apply them in project decisions, particularly where risk is involved.
4. Be able to develop effective metrics for evaluating project succcess, based upon a sound quantitative analysis of the project's business value.
Project Communication (Level 3)
5. Be able to explain and justify the results of quantitative analyses in clear simple terms to diverse project stakeholders
Assessment Methods:
# Name Group Weight Due Week Outcomes
1 Class Tests No 30.00 Multiple Weeks 1,
2 Group Assignment Yes 20.00 Week 12 2, 3, 4, 5,
3 Final Exam No 50.00 Exam Period 1, 2, 3, 4,
Assessment Description: A. Class Test (CT)

The class test will comprise of short questions and exercises of different quantitative methods that are covered in previous weeks’ lectures. The mark for each CT is 10, and best 2 will be considered out of 3 class tests.

Absence from Class Test. Class tests should be treated just like an examination. If you miss a class test for any reason, then notify the course coordinator as soon as possible and submit an application for Special Consideration with appropriate documentation. Failure to comply with these procedures will mean loss of marks for the class test in question.

B. Group Assignment (GA)

The group assignment is case study, which will be post via Blackboard in week 4, and is designed to develop student’s skills in actual applications requiring the use of different quantitative methods in interpreting data for decision-making.

In a group, a maximum of 3 members will be allowed to work together. Group members are expected to discuss regularly about the case study, and must have equal participation in completing the group work.

Late work. Group work must be handed to the tutor in class or uploaded to Blackboard (for students in online learning) on time. In fairness to other students, late work attracts a penalty of 5% per day. This penalty will be waived by the lecturer only in exceptional circumstances. If, for reasons beyond your control, you miss or know you will miss submission, contact your lecturer immediately. The submission deadline is set on the assumption that you are able to take into account minor setbacks caused by sickness, computer breakdown etc. Extensions will not be granted for minor setbacks. ‘Minor’ means ‘a delay of up to three working days.

C. Performance and Presence in Tutorials (PPT)

Students need to attend each week’s tutorial and complete the exercises (both short questions and problem based on quantitative method taught in lectures) given by the tutorial. Most of the class test questions and final exam questions will be based on these tutorial exercise questions.

D. Final Examination (FA)

The final written examination (closed book as well) will be drawn from all aspects of the unit of study. It will test the candidates’ ability to discuss concepts and issues critically and to apply the knowledge learnt during the course them to specific contexts. The examination will cover all lectures, tutorials, and reading materials covered in the entire semester.

A Note on Participation

You are encouraged to participate in class, responding to the tutor/lecturer’s questions or when asked for input/ideas/comments. You may make use of the discussion forums to submit your ideas, comments, answers or suggestions. Clearly, students who consistently complete their exercises and/or post them online, seek opinions from peers or the lecturer, constructively assess and critique their peers’ work, ask challenging questions, and/or suggest research articles or ideas to generate constructive and thoughtful discussions are participating much more than those who simply post/attach their exercise solutions online without much discussion. Students are also reminded to respect the School policy on Academic Honesty and Plagiarism.
Grading:
Grade Type Description
Standards Based Assessment Final grades in this unit are awarded at levels of HD for High Distinction, DI (previously D) for Distinction, CR for Credit, PS (previously P) for Pass and FA (previously F) for Fail as defined by University of Sydney Assessment Policy. Details of the Assessment Policy are available on the Policies website at http://sydney.edu.au/policies . Standards for grades in individual assessment tasks and the summative method for obtaining a final mark in the unit will be set out in a marking guide supplied by the unit coordinator.
Special Conditions to Pass UoS In order to achieve a pass in this unit of study a student must achieve an overall final mark of 50% or more in each of the assessment components.
Policies & Procedures: See the policies page of the faculty website at http://sydney.edu.au/engineering/student-policies/ for information regarding university policies and local provisions and procedures within the Faculty of Engineering and Information Technologies.
Recommended Reference/s: Note: References are provided for guidance purposes only. Students are advised to consult these books in the university library. Purchase is not required.
Online Course Content: Course information and materials are available through the unit of study website on WebCT:

http://elearning.sydney.edu.au/

The course website is convenient for accessing course materials and provides a way of checking that your assignment marks have all been recorded correctly.To log on to the course website, use any browser to find to URL above, select PMGT6867 Quantitative Methods in Project Management and enter your MyUni user ID and password.

As assessment results are published on the course web page, the onus is on you to check your results regularly. Any errors or omissions must be reported, with appropriate evidence, within ten (10) days of their being published. After that time, marks are considered to have been confirmed and will not subsequently be altered.
Note on Resources: There are few books written with a full emphasis to the quantitative methods that are commonly used in different stages of project life cycle. In general the current edition of the Guide to the Project Management Body of Knowledge (PMBOK) is a good all round guides to PM in general. In addition PMBOK, the other two books are also strongly recommended.

Note that the "Weeks" referred to in this Schedule are those of the official university semester calendar https://web.timetable.usyd.edu.au/calendar.jsp

Week Description
Week 1 Lecture/Tutorial: Basic measures of number and QM for Capital Budgeting
Week 2 Lecture/Tutorial: Network diagram and Critical path method
Week 3 Lecture/Tutorial: Probability and Probability distribution
Week 4 Lecture/Tutorial: Probability Tree and Decision Table
Week 5 Lecture/Tutorial: Deduction Analysis: Depreciation
Week 6 Lecture/Tutorial: WBS and Project Estimations
Week 7 Lecture/Tutorial: Correlation, Regression, Pareto analysis, Histogram and Earned value analysis
Week 8 Lecture/Tutorial: Fuzzy Logic in Project Management
Week 9 Lecture/Tutorial: Decision making approaches: Payoff analysis and utility function
Week 10 Lecture/Tutorial: The Mathematics of Project Contracts
Week 11 Lecture/Tutorial: Project Forecasting
Week 12 Lecture/Tutorial: Process Capability and Control Chart
Assessment Due: Group Assignment
Week 13 Review of all previous course materials
Exam Period Assessment Due: Final Exam

Course Relations

The following is a list of courses which have added this Unit to their structure.

Course Year(s) Offered
Graduate Certificate in Project Management 2015, 2016, 2017, 2018, 2019, 2020, 2012, 2013, 2014
Graduate Diploma in Project Management 2015, 2016, 2017, 2018, 2019, 2020, 2012, 2013, 2014
Master of Project Management 2015, 2016, 2017, 2018, 2019, 2020
Aeronautical Engineering / Project Management 2012
Aeronautical Engineering (Space) / Project Management 2012
Chemical & Biomolecular Engineering / Project Management 2012
Bachelor of Project Management (Hons) 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020
Graduate Certificate in Information Technology Management (till 2014) 2013, 2014
Graduate Certificate in Information Technology (till 2014) 2013, 2014
Graduate Diploma in Information Technology Management (till 2014) 2013, 2014
Graduate Diploma in Information Technology (till 2014) 2013, 2014
Master of Information Technology Management (till 2014) 2011, 2012, 2013, 2014
Master of Information Technology (till 2014) 2014
Master of Project Management 2010, 2011, 2012, 2013, 2014

Course Goals

This unit contributes to the achievement of the following course goals:

Attribute Practiced Assessed
Project Methods (Level 3) Yes 95%
Project Communication (Level 3) Yes 5%

These goals are selected from Project Management Learning Progression Table 2019 which defines overall goals for courses where this unit is primarily offered. See Project Management Learning Progression Table 2019 for details of the attributes and levels to be developed in the course as a whole. Percentage figures alongside each course goal provide a rough indication of their relative weighting in assessment for this unit. Note that not all goals are necessarily part of assessment. Some may be more about practice activity. See Learning outcomes for details of what is assessed in relation to each goal and Assessment for details of how the outcome is assessed. See Attributes for details of practice provided for each goal.