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CSYS5061: Complex Systems Research Project B (2018 - Semester 2)

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Unit: CSYS5061: Complex Systems Research Project B (6 CP)
Mode: Supervision
On Offer: Yes
Level: Postgraduate
Faculty/School: Faculty of Engineering and Information Technologies
Unit Coordinator/s: Nigmatullin, Ramil
Prof Prokopenko, Mikhail
Dr Piraveenan, Mahendrarajah
Session options: Semester 1, Semester 2
Versions for this Unit:
Campus: Camperdown/Darlington
Pre-Requisites: CSYS5010.
Co-Requisites: CSYS5060. Research Project A is meant to be done before or in parallel with Research Project B
Brief Handbook Description: The research pathway project aims to provide: (a) analytical and computational skills for modelling systems characterised by many interacting heterogeneous variables, (b) adequate programming skills for simulating complex systems. It is aimed at developing a pathway to a research career. The student will work individually on an assigned open-ended research project, focussed on modelling a complex problem or delivering a novel solution. The concepts covered depend on the nature of the project. The project could be directly tied to student's area of specialisation (major), or to their vocational objectives or interests. Students with expertise in a specific industry sector may be invited to partner with relevant team projects. The project outcomes will be presented in a thesis that is clear, coherent and logically structured. The project will be judged on the extent and quality of the student's original work and particularly how innovative, perceptive and constructive they have been in developing and applying cross-disciplinary complex systems concepts. As the result, the student will develop capability for modelling complex systems, from the identification of the relevant variables and interactions to the analysis and simulations of the predictions, having learnt the conceptual and methodological tools (techniques and algorithms) for the analysis and inference of complex models.
Assumed Knowledge: None.
Timetable: CSYS5061 Timetable
Time Commitment:
# Activity Name Hours per Week Sessions per Week Weeks per Semester
1 Meeting 1.00 1 13
2 Workgroup 2.00 2 13
3 Project Work - own time 7.00 1 13
T&L Activities: The students working in a project group, will meet with their supervisor(s) once per week. During this meeting, progress will be reviewed, and research strategies and results will be discussed with the supervisor.

They will have their own project meetings twice a week, during which time they may work together on the project or discuss progress. During these times research ideas will be discussed, and overall strategy will be formulated. These sessions also will help the students develop their professional skills, teamwork, and communication skills.

In addition to the above, each student will individually spend at least seven hours per week doing research or otherwise working on the project. This time will also be used by students to familiarise themselves with relevant tools, gather technical and contextual knowledge, and undertake design and implementation tasks. The time will also be used to maintain documentation, write reports, and prepare presentations and other multimedia.

The hours prescribed are the minimum requirements.

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
Attribute Development Method Attribute Developed
Undertaking detailed requirement-based design which will produce required solutions / outcomes in the Research project

Application of complex systems theory and principles in solution design and implementation
Design (Level 5)
Through undertaking a project relevant to the industry, gain additional contextual knowledge about the chosen domain and application of complex systems theory in that domain Engineering/IT Specialisation (Level 4)
Learning advanced software tools, analysis techniques and mathematical techniques necessary for the project, if they were not covered previously in the course. This will be done through group based learning guided by the UoS coordinator Maths/Science Methods and Tools (Level 3)
Conducting active desktop research to compile a literature survey which will be relevant to the project

Considering and analysing several methodologies and tools which can potentially provide the desired outcomes and/solutions in the project, and selecting one/some with justification
Information Seeking (Level 5)
Participation in project team discussions, and short presentations, including interpreting and responding to case scenarios related to the Research project. If online, similar participation via online contributions to blogs and wikis related to the project

Writing a professional and scientific report that summarises the key results, findings and outcomes of the project, and doing so collaboratively where relevant
Communication (Level 4)
Application of complex systems theory to unfamiliar problems demanding a suitable analytic or experimental solution

Through group interaction, team work, and team leadership, developing professional attributes necessary to successfully complete a medium-size project
Professional Conduct (Level 3)
Through collaborative work in designing, implementing, and testing the desired solutions, developing the ability to effectively work in a team of professionals

Through maintaining appropriate documentation of the project meetings, requirement analysis, design, architecture and implementation choices, project logs and minutes of the Research project, developing the ability to appropriately document processes related to complex projects.
Project and Team Skills (Level 5)

For explanation of attributes and levels see Engineering & IT Graduate Outcomes Table.

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.

Professional Conduct (Level 3)
1. Be able to conduct themselves professionally during the course of the project in order to complete it within time and by producing high quality outcomes
Project and Team Skills (Level 5)
2. Be able to run a medium sized project effectively by demonstrating appropriate division of labour, regular meetings, innovation, analysis of complex ideas, comparison of design ideas, effective and timely implementation, appropriate testing and integration, effective communication and presentation.
Communication (Level 4)
3. Be able to effectively work as a project team and communicate complex concepts requited to complex system analysis, design and implementation to other project members, academics, industry stakeholders
4. Be able to write technical reports, papers and other technical/academic documents, which convey the results of the project, and to prepare presentation and media which conveys the same
Information Seeking (Level 5)
5. Use advanced programming skills to analyse, understand and simulate the dynamics of complex systems
6. Use literature review to understand the current state-of-the-art in complex systems analysis and apply such knowledge effectively in the project
Engineering/IT Specialisation (Level 4)
7. Be able to self-teach (individually and within a group setting) additional contextual knowledge about the project
Maths/Science Methods and Tools (Level 3)
8. Be able to self-teach (individually and within a group setting) additional programming techniques and software which are relevant to the project and not covered in MCXS previously
Design (Level 5)
9. Be able to compare alternative designs and modify design of the complex system during the course of the project
10. Be able to design complex systems in a given context that satisfy the requirements of the project
Assessment Methods:
# Name Group Weight Due Week Outcomes
1 Report No 50.00 Week 13 1, 2, 3, 4, 5, 6, 7, 8, 9, 10,
2 Presentation No 50.00 Week 13 1, 2, 3, 4, 5, 6, 7, 8, 9, 10,
Assessment Description: The assessment will consist of two components (i) a professionally written technical report outlining the project outcomes, outputs and process, including methodologies selected, requirement analysis, design decisions, implementation details, observations, integration and testing details, results, output, and recommendations for future work (ii) An oral presentation summarising the project to an audience consisting of academics, follow students and industry partners, if any. Both components are due at the end of the semester and shall carry equal weight. Opportunities for peer evaluation will be provided.
Assessment Feedback: Written feedback will be provided by the markers on the report. Feedback to the presentation will be provided in the form of scores achieved by each group with detailed reasoning, and this will be provided through Blackboard e-learning platform after the presentations are concluded.
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.
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.
  • Algorithms
  • Systems Analysis and Design in a Changing World

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 13 Assessment Due: Report
Assessment Due: Presentation

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
Master of Complex Systems 2017, 2018, 2019

Course Goals

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

Attribute Practiced Assessed
Professional Conduct (Level 3) Yes 7.5%
Project and Team Skills (Level 5) Yes 7.5%
Communication (Level 4) Yes 20%
Information Seeking (Level 5) Yes 22.5%
Engineering/IT Specialisation (Level 4) Yes 10%
Maths/Science Methods and Tools (Level 3) Yes 10%
Design (Level 5) Yes 22.5%

These goals are selected from Engineering & IT Graduate Outcomes Table which defines overall goals for courses where this unit is primarily offered. See Engineering & IT Graduate Outcomes Table 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.