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PMGT5886: System Dynamics Modelling for PM (2019 - Semester 2)

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Unit: PMGT5886: System Dynamics Modelling for PM (6 CP)
Mode: Normal-Evening
On Offer: Yes
Level: Postgraduate
Faculty/School: Project Management
Unit Coordinator/s: Prof Prokopenko, Mikhail
Session options: Semester 2, Semester 2 Online
Versions for this Unit:
Site(s) for this Unit:
Campus: Camperdown/Darlington
Pre-Requisites: None.
Brief Handbook Description: Students should achieve an understanding of dynamical systems methods applied to complex adaptive systems (CAS). CAS is a new approach to engineering and management that studies and models how relationships between parts give rise to collective and dynamic system-level behaviours, for example, in communication and transport networks, megaprojects, social and eco-systems. Effectively implemented, the methods can dramatically improve a manager’s effectiveness in today’s complex and interconnected business world, by helping to predict and evaluate indirect effects of actions and policies. This course provides managers with many practical quantitative tools to enhance individual, team, and organisational learning, change, and performance.
Assumed Knowledge: None.
Lecturer/s: Prof Prokopenko, Mikhail
Timetable: PMGT5886 Timetable
Time Commitment:
# Activity Name Hours per Week Sessions per Week Weeks per Semester
1 Workshop 2.00 1 13
2 Independent Study 8.00 13
T&L Activities: The unit will be delivered in 13 weekly workshops. Attendance is compulsory and your participation contribute to the course assessment. The workshops will provide an introduction to the topics, and form a basis for you to explore these topics further, but are primarily intended as social learning experiences where you actively engage with the material and each other, discussing the content and sharing insights.

It is expected that students will spend an average of 8 hours on additional work per week of the semester. This time will include course readings (textbook and articles), researching and writing assignments, learning software tools, and reviewing workshop materials. In periods where assignments need to be prepared the required workload may be greater than average.

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 4)
1. Ability to recognise complex scenarios.
2. Understand the differences in Project Management style, situations and context.
3. Build the bridge between System Theory and Project Management.
Project Leadership (Level 4)
4. Analyse the impact of different scenarios and how they be impacted by the stakeholders decisions.
5. Ability to map the the skills needed in a complex project and identify possible gaps.
Professional Practice (Level 4)
6. Gather and reflect on lessons learnt at the end of the group and individual assignment.
Assessment Methods:
# Name Group Weight Due Week Outcomes
1 Individual Assignment No 40.00 Week 7 1, 2, 3, 4, 5, 6,
2 Group Presentation Yes 20.00 Week 12 1, 2, 3, 4, 5, 6,
3 Group Report Yes 30.00 Week 13 1, 2, 3, 4, 5, 6,
4 Participation No 10.00 Multiple Weeks 1, 2, 3, 4, 5, 6,
Assessment Description: 1. Students develop and apply System Dynamics models, to a set of scenarios.

2 and 3. Students describe and critically analyse System Dynamics models, in the context of literature on this topic. Oral presentations in class will be conducted in advance of a written report being due.

4. Class participation mark will be composed of (compulsory) attendance at the classes, plus satisfactory active participation in discussions and in-class activities, as directed.

Text matching software will be used for plagiarism detection.

You must get 40% in the Individual Assignment to pass the unit, regardless of the sum of your individual marks.

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.

Late submissions will incur a penalty of 10% per day for up to 7 days starting directly after the cut off time. This means 5% will be deducted even if submitted on the due day but after the cut-off time. After one week, assessments will no longer be marked receive a 0 mark.
Assessment Feedback: 1. Written feedback will be provided on the assignment.

2. Verbal feedback will be provided to the groups in class.

3. Written feedback will be provided on the reports.

4. Lecturer will directly contact students whose participation in the classes is not at a passable level (after each class).
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.
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.
Online Course Content: Please logon to WebCT at the start of semester.

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: Introduction and Background
Week 2 Lecture/Tutorial: System Dynamics: Modelling Challenges & Vensim software
Week 3 Lecture/Tutorial: Causal Loops and Stock-Flows Diagrams
Week 4 Lecture/Tutorial: Modelling for Project Management
Week 5 Lecture/Tutorial: Vensim tutorial: Manufacturing Processes
Week 6 Lecture/Tutorial: System Dynamics of Decision-making
Week 7 Lecture/Tutorial: Game-Theoretic Modelling and PM
Assessment Due: Individual Assignment
Week 8 Lecture/Tutorial: System Dynamics Modelling case study
Week 9 Lecture/Tutorial: Assignment #1 Review; case studies
Week 10 Lecture/Tutorial: Complex Dynamical Systems: Predator-Prey model
Week 11 Lecture/Tutorial: Advanced Predator-Prey Model
Week 12 Group Presentations
Assessment Due: Group Presentation
Week 13 Assessment Due: Group Report

Course Relations

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

Course Year(s) Offered
Graduate Diploma in Complex Systems 2017, 2018, 2019, 2020
Master of Complex Systems 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 Project Management 2012, 2013, 2014
Graduate Diploma in Project Management 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020
Master of Project Management 2010, 2011, 2012, 2013, 2014
Master of Project Management 2015, 2016, 2017, 2018, 2019, 2020

Course Goals

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

Attribute Practiced Assessed
Project Methods (Level 4) No 47.7%
Project Leadership (Level 4) No 35.9%
Project Communication (Level 4) No 0%
Professional Practice (Level 4) No 16.4%

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.