COMP SCI 4408 - Modelling and Analysis of Complex Systems
North Terrace Campus - Semester 1 - 2020
General Course Information
Course Code COMP SCI 4408 Course Modelling and Analysis of Complex Systems Coordinating Unit School of Computer Science Term Semester 1 Level Undergraduate Location/s North Terrace Campus Units 3 Contact 2 hours per week Available for Study Abroad and Exchange Y Prerequisites COMP SCI 2201 Incompatible COMP SCI 4808 Course Description This course presents an overview of existing theories and methodologies for the analysis of complex systems behaviour. It focuses on the practical application of existing methods to the modelling and analysis of real-life complex systems, and on the identification and analysis of properties such as self-organisation, emergence and adaptability among others.
Course Coordinator: A/Prof Claudia Szabo
The full timetable of all activities for this course can be accessed from Course Planner.
Course Learning OutcomesOn successful completion of this course students will be able to:
1 Develop knowledge of modeling, simulation and analysis techniques aimed at understanding complex systems 2 Employ various modeling and analysis techniques to real-life complex systems problems. 3 Read and understand scientific research papers and present them in a seminar talk
University Graduate Attributes
University Graduate Attribute Course Learning Outcome(s)
- informed and infused by cutting edge research, scaffolded throughout their program of studies
- acquired from personal interaction with research active educators, from year 1
- accredited or validated against national or international standards (for relevant programs)
- steeped in research methods and rigor
- based on empirical evidence and the scientific approach to knowledge development
- demonstrated through appropriate and relevant assessment
- developed from, with, and via the SGDE
- honed through assessment and practice throughout the program of studies
- encouraged and valued in all aspects of learning
1,2 Career and leadership readiness
- technology savvy
- professional and, where relevant, fully accredited
- forward thinking and well informed
- tested and validated by work based experiences
1,2,3 Intercultural and ethical competency
- adept at operating in other cultures
- comfortable with different nationalities and social contexts
- Able to determine and contribute to desirable social outcomes
- demonstrated by study abroad or with an understanding of indigenous knowledges
- a capacity for self-reflection and a willingness to engage in self-appraisal
- open to objective and constructive feedback from supervisors and peers
Recommended ResourcesThere are no textbooks for this course. However, a number of research papers and other resources will be made available on the course website.
Online LearningMore information about the course can be found online on myUni.
Learning & Teaching Activities
Learning & Teaching ModesThe course aims to introduce students to a wide range of complex systems modeling and analysis terminology, techniques, and processes. The concepts taught in these lectures will be practiced and reinforced by participation in three projects and the reading and reporting on research papers.
WorkloadThe information below is provided as a guide to assist students in engaging appropriately with the course requirements.
This course is a 3 unit course. The expectation is that students will be spending 12 hours per week working on the course. Students are required to attend weekly lectures; the remainder of the time should be spent working on projects and the research papers. Students are expected to learn the content presented in lectures by doing the projects. They will gain additional knowledge by preparing a presentationthat is based on a research paper and reports that summarizes the research results of the research work they have to present.
Learning Activities SummaryThe following topics will be covered in the lectures:
* modeling and simulation techniques: analytical models, agent-based modeling among others
* complex systems properties: emergence, self-organisation, criticality, adaptability among others
* metrics and theories to identify complex systems behaviors/properties: micro/macro interactions, entropy among others
* analysis techniques: regression, ensemble modelling, statistical extrapolation, metrics, decision making, deep learning, fast frugal trees
- Assessment must encourage and reinforce learning.
- Assessment must enable robust and fair judgements about student performance.
- Assessment must maintain academic standards.
Assessment Task Weighting (%) Individual/ Group Formative/ Summative Due (week)* Hurdle criteria Learning outcomes CBOK Alignment** Practical 1 10 Group Summative week 5 - 6 1. 2. Practical 2 10 Group Summative week 8 - 9 1. 2. Practical 3 10 Group Summative week 11 - 12 1. 2. Research essay 30 Individual Formative week 9 - 11 Min 40% 1. 3. Seminar presentation 30 Individual Formative week 6 - 9 Min 40% 1. 3. Refection exercises (2) 5 Individual Summative week 7 - 10 1. 2. Presentation feeback (2) 5 Individual Summative week 6 -9 1. Total 100
This assessment breakdown is registered as an exemption to the University's Assessment for Coursework Programs Policy. The exemption is related to the Procedures clause(s): 1. b. 3.
This course has a hurdle requirement. Meeting the specified hurdle criteria is a requirement for passing the course.
**CBOK is the Core Body of Knowledge for ICT Professionals defined by the Australian Computer Society. The alignment in the table above corresponds with the following CBOK Areas:
1. Problem Solving1.1 Abstraction1.2 Design
2. Professional Knowledge2.1 Ethics2.2 Professional expectations2.3 Teamwork concepts & issues2.4 Interpersonal communications2.5 Societal issues2.6 Understanding of ICT profession
3. Technology resources3.1 Hardware & Software3.2 Data & information3.3 Networking
4. Technology Building4.1 Programming4.2 Human factors4.3 Systems development4.4 Systems acquisition
5. ICT Management5.1 IT governance & organisational5.2 IT project management5.3 Service management5.4 Security management
Due to the current COVID-19 situation modified arrangements have been made to assessments to facilitate remote learning and teaching. Assessment details provided here reflect recent updates.
The assessments are unchanged - what changes is the form of delivering the seminar presentation.
The following modifications have been put in place:-
Seminar presentations will be uploaded to Youtube and a link sent to me, one day before your allocated seminar presentation slots. A zoom session will take place during your allocated seminar presentation slots. You will be required to join that session and answer any questions from me or your peers.
Assessment DetailAssessment is by way of three programming assignments (practicals) and two presentations and reports of research papers. All assignments will be available on the course website.
No information currently available.
Grades for your performance in this course will be awarded in accordance with the following scheme:
M10 (Coursework Mark Scheme) Grade Mark Description FNS Fail No Submission F 1-49 Fail P 50-64 Pass C 65-74 Credit D 75-84 Distinction HD 85-100 High Distinction CN Continuing NFE No Formal Examination RP Result Pending
Further details of the grades/results can be obtained from Examinations.
Final results for this course will be made available through Access Adelaide.
- Academic Support with Maths
- Academic Support with writing and speaking skills
- Student Life Counselling Support - Personal counselling for issues affecting study
- International Student Support
- AUU Student Care - Advocacy, confidential counselling, welfare support and advice
- Students with a Disability - Alternative academic arrangements
- Reasonable Adjustments to Teaching & Assessment for Students with a Disability Policy
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