Complex Systems
For more information on degree program requirements visit CUSP (https://cusp.sydney.edu.au).
| Unit of study | Credit points | A: Assumed knowledge P: Prerequisites C: Corequisites N: Prohibition | Session |
|---|---|---|---|
Complex Systems |
|||
Master of Complex Systems |
|||
| Students complete 96 credit points, comprising: | |||
| (a) 72 credit points in core units including: | |||
| (i) 24 credit points in foundational core units of study | |||
| (ii) 12 credit points in other core units of study | |||
| (iii) 12 credit points of capstone units of study | |||
| (iv) At least 24 credit points in units which start with CSYS, excluding capstone project units. | |||
| (b) Elective advanced units of study including: | |||
| (i) At most 24 credit points from the elective units of study. | |||
Graduate Diploma in Complex Systems |
|||
| Students complete 48 credit points, comprising: | |||
| (a) 36 credit points in core units, including: | |||
| (i) 24 credit points in foundational core units of study | |||
| (ii) At least 12 credit points in two units which start with CSYS, excluding capstone project unit. | |||
| (b) At most 12 credit points from the Elective units of study. | |||
Specialisations |
|||
| (a) Completion of a specialisation is not a requirement of the course. | |||
| (b) Students have the option of completing at most one specialisation | |||
| (c) A specialisation requires the completion of 24 credit points chosen from units of study listed for that specialisation. | |||
| The specialisations available are: | |||
| Engineering | |||
| Biosecurity | |||
| Transport | |||
| Research Methods | |||
Core units of study |
|||
Foundational Core |
|||
| COMP9001 Introduction to Programming |
6 | Semester 1 Semester 2 |
|
| ENVI5801 Social Science of Environment |
6 | Semester 1 |
|
| PMGT5886 System Dynamics Modelling for PM |
6 | Semester 2 |
|
| STAT5002 Introduction to Statistics |
6 | A HSC Mathematics |
Semester 1 Semester 2 |
Complex Systems Core |
|||
| CSYS5010 Introduction to Complex Systems |
6 | Semester 1 Semester 2 |
|
| CSYS5020 Interdependent Civil Systems |
6 | Semester 1 |
|
| CSYS5030 Information Theory and Self-Organisation |
6 | A Competency in 1st year mathematics, and basic computer programming skills are assumed. Competency in 1st year undergraduate level statistics (for example, covering probabilities, conditional probabilities, Gaussian distribution, correlations, statistical significance/hypothesis testing and p-values). An exposure to linear algebra would be useful but not mandatory. |
Semester 2 |
| CSYS5040 Criticality in Dynamical Systems |
6 | A Mathematics at first-year undergraduate level. Some familiarity with mathematical and computational principles at an undergraduate university level (for example, differential calculus or linear algebra). Familiarity with a programming language at a beginners level for data analysis. |
Semester 2 |
Other Core |
|||
| COMP5048 Visual Analytics |
6 | A It is assumed that students will have basic knowledge of data structures, algorithms and programming skills. Note: Department permission required for enrolment in the following sessions:Semester 1 |
Semester 1 Semester 2 |
| COMP5313 Large Scale Networks |
6 | A Algorithmic skills (as expected from any IT graduate). Basic probability knowledge. |
Semester 1 |
Complex Systems Capstone |
|||
| Students must complete 48 credit points from Core and Elective units of study before taking Complex Systems Capstone Project Units. | |||
| CSYS5050 Complex Systems Capstone Project A |
6 | P CSYS5010 and 48 credit points |
Semester 1 Semester 2 |
| CSYS5051 Complex Systems Capstone Project B |
6 | P CSYS5010 C CSYS5050. Capstone A is meant to be done before or in parallel with Capstone B |
Semester 1 Semester 2 |
Electives |
|||
| CHNG9202 Applied Mathematics for Chemical Engineers |
6 | A Enrolment in this unit of study assumes that first year undergraduate core maths, science and engineering UoS (or their equivalent) have been successfully completed. N CHNG2802 OR CHNG5702 School permission required. |
Semester 1 |
| CISS6004 Health and Security |
6 | Semester 2 |
|
| COMP5318 Machine Learning and Data Mining |
6 | A INFO2110 OR ISYS2110 OR COMP9120 OR COMP5138 |
Semester 1 Semester 2 |
| CSYS5060 Complex Systems Research Project A |
6 | P CSYS5010 |
Semester 1 Semester 2 |
| CSYS5061 Complex Systems Research Project B |
6 | P CSYS5010 C CSYS5060. Research Project A is meant to be done before or in parallel with Research Project B |
Semester 1 Semester 2 |
| DATA5207 Data Analysis in the Social Sciences |
6 | A COMP5310 Note: Department permission required for enrolment in the following sessions:Intensive December |
Intensive December Semester 1 |
| ELEC5208 Intelligent Electricity Networks |
6 | A Fundamentals of Electricity Networks, Control Systems and Telecommunications |
Semester 1 |
| ELEC5509 Mobile Networks |
6 | A ELEC3505 AND ELEC3506. Basically, students need to know the concepts of data communications and mobile communications, which could be gained in one the following units of study: ELEC3505 Communications, ELEC3506 Data Communications and the Internet, or similar units. If you are not sure, please contact the instructor. |
Semester 1 |
| ELEC9103 Simulations and Numerical Solutions in Eng |
6 | A ELEC9703. Understanding of the fundamental concepts and building blocks of electrical and electronics circuits and aspects of professional project management, teamwork, and ethics. N ELEC5723 OR ELEC2103 OR COSC1001 OR COSC1901 |
Semester 2 |
| ENVI5809 Environmental Simulation Modelling |
6 | A This unit assumes a sound understanding of scientific principles, HSC level Mathematics and understanding of basic statistics. |
Semester 2a |
| ENVI5904 Methods in Applied Ecology |
6 | Semester 2 |
|
| GEOG5001 Geographic Information Science A |
6 | A This unit assumes a sound understanding of scientific principles, HSC level mathematics and understanding of basic statistics. |
Semester 1 |
| GEOG5004 Environmental Mapping and Monitoring |
6 | A This unit assumes a sound understanding of scientific principles, HSC level mathematics and understanding of basic statistics. |
Semester 2 |
| HTIN5003 Health Technology Evaluation |
6 | Semester 2b |
|
| HTIN5004 Integrated Approaches to Chronic Disease |
6 | Semester 1 |
|
| INFO5060 Data Analytics and Business Intelligence |
6 | A The unit is expected to be taken after introductory courses or related units such as COMP5206 Information Technologies and Systems Note: Department permission required for enrolment |
Intensive January Intensive July |
| ITLS5000 Foundations of Supply Chain Management |
6 | N TPTM6155 or TPTM5001 |
Semester 1 Semester 2 |
| ITLS5100 Transport and Infrastructure Foundations |
6 | N TPTM6241 This is the foundation unit for the Master of Transport and should be completed in the first period of study. |
Semester 1 Semester 2 |
| ITLS5200 Quantitative Logistics and Transport |
6 | C ITLS5000 or TPTM5001 or ITLS5100 or TPTM6241 N TPTM6495 |
Semester 1 Semester 2 |
| ITLS6002 Supply Chain Planning and Design |
6 | P ITLS5200 or TPTM6495 or STAT5002 C ITLS5000 or TPTM5001 N TPTM6190 |
Semester 1 Semester 2 |
| ITLS6007 Disaster Relief Operations |
6 | N TPTM6390 |
Intensive July |
| ITLS6102 Transport Modelling and Forecasting |
6 | C ITLS5200 or TPTM6495 N TPTM6350 |
Semester 2 |
| ITLS6107 Applied GIS and Spatial Data Analytics |
6 | N TPTM6180 This unit assumes no prior knowledge of GIS; the unit is hands-on involving the use of software, which students will be trained in using. |
Semester 2 |
| PHYS5031 Ecological Econ and Sustainable Analysis |
6 | Semester 1 |
|
| PHYS5032 Techniques for Sustainability Analysis |
6 |
Minimum class size of 5 students. |
Semester 1 Semester 2 |
| PMGT5875 Project Innovation Management |
6 | Semester 1 |
|
| PMGT5897 Disaster Project Management |
6 | Intensive July |
|
| PUBH5010 Epidemiology Methods and Uses |
6 | N BSTA5011 or CEPI5100 |
Semester 1 |
| QBUS5001 Quantitative Methods for Business |
6 | A Students should be capable of reading data in tabulated form and working with Microsoft EXCEL and doing High School level of mathematics N ECMT5001 or QBUS5002 |
Semester 1 Semester 2 |
| QBUS6810 Statistical Learning and Data Mining |
6 | P BUSS6002 |
Semester 1 Semester 2 |
| QBUS6840 Predictive Analytics |
6 | P (QBUS5001 or ECMT5001) and BUSS6002 |
Semester 1 Semester 2 |
| SUST5004 Sustainable Development and Population Health |
6 | C SUST5001 This unit of study involves essay-writing. Academic writing skills equivalent to HSC Advanced English or significant consultation via the Writing Hub is assumed. |
Semester 2 |
Specialisations |
|||
Biosecurity |
|||
| CISS6004 Health and Security |
6 | Semester 2 |
|
| DATA5207 Data Analysis in the Social Sciences |
6 | A COMP5310 Note: Department permission required for enrolment in the following sessions:Intensive December |
Intensive December Semester 1 |
| ENVI5809 Environmental Simulation Modelling |
6 | A This unit assumes a sound understanding of scientific principles, HSC level Mathematics and understanding of basic statistics. |
Semester 2a |
| ENVI5904 Methods in Applied Ecology |
6 | Semester 2 |
|
| GEOG5001 Geographic Information Science A |
6 | A This unit assumes a sound understanding of scientific principles, HSC level mathematics and understanding of basic statistics. |
Semester 1 |
| GEOG5004 Environmental Mapping and Monitoring |
6 | A This unit assumes a sound understanding of scientific principles, HSC level mathematics and understanding of basic statistics. |
Semester 2 |
| HTIN5003 Health Technology Evaluation |
6 | Semester 2b |
|
| HTIN5004 Integrated Approaches to Chronic Disease |
6 | Semester 1 |
|
| PHYS5031 Ecological Econ and Sustainable Analysis |
6 | Semester 1 |
|
| PHYS5032 Techniques for Sustainability Analysis |
6 |
Minimum class size of 5 students. |
Semester 1 Semester 2 |
| PUBH5010 Epidemiology Methods and Uses |
6 | N BSTA5011 or CEPI5100 |
Semester 1 |
| SUST5004 Sustainable Development and Population Health |
6 | C SUST5001 This unit of study involves essay-writing. Academic writing skills equivalent to HSC Advanced English or significant consultation via the Writing Hub is assumed. |
Semester 2 |
Engineering |
|||
| CHNG9202 Applied Mathematics for Chemical Engineers |
6 | A Enrolment in this unit of study assumes that first year undergraduate core maths, science and engineering UoS (or their equivalent) have been successfully completed. N CHNG2802 OR CHNG5702 School permission required. |
Semester 1 |
| COMP5318 Machine Learning and Data Mining |
6 | A INFO2110 OR ISYS2110 OR COMP9120 OR COMP5138 |
Semester 1 Semester 2 |
| DATA5207 Data Analysis in the Social Sciences |
6 | A COMP5310 Note: Department permission required for enrolment in the following sessions:Intensive December |
Intensive December Semester 1 |
| ELEC5208 Intelligent Electricity Networks |
6 | A Fundamentals of Electricity Networks, Control Systems and Telecommunications |
Semester 1 |
| ELEC5509 Mobile Networks |
6 | A ELEC3505 AND ELEC3506. Basically, students need to know the concepts of data communications and mobile communications, which could be gained in one the following units of study: ELEC3505 Communications, ELEC3506 Data Communications and the Internet, or similar units. If you are not sure, please contact the instructor. |
Semester 1 |
| ELEC9103 Simulations and Numerical Solutions in Eng |
6 | A ELEC9703. Understanding of the fundamental concepts and building blocks of electrical and electronics circuits and aspects of professional project management, teamwork, and ethics. N ELEC5723 OR ELEC2103 OR COSC1001 OR COSC1901 |
Semester 2 |
| INFO5060 Data Analytics and Business Intelligence |
6 | A The unit is expected to be taken after introductory courses or related units such as COMP5206 Information Technologies and Systems Note: Department permission required for enrolment |
Intensive January Intensive July |
| QBUS5001 Quantitative Methods for Business |
6 | A Students should be capable of reading data in tabulated form and working with Microsoft EXCEL and doing High School level of mathematics N ECMT5001 or QBUS5002 |
Semester 1 Semester 2 |
| QBUS6810 Statistical Learning and Data Mining |
6 | P BUSS6002 |
Semester 1 Semester 2 |
| QBUS6840 Predictive Analytics |
6 | P (QBUS5001 or ECMT5001) and BUSS6002 |
Semester 1 Semester 2 |
Transport |
|||
| COMP5318 Machine Learning and Data Mining |
6 | A INFO2110 OR ISYS2110 OR COMP9120 OR COMP5138 |
Semester 1 Semester 2 |
| DATA5207 Data Analysis in the Social Sciences |
6 | A COMP5310 Note: Department permission required for enrolment in the following sessions:Intensive December |
Intensive December Semester 1 |
| ELEC5509 Mobile Networks |
6 | A ELEC3505 AND ELEC3506. Basically, students need to know the concepts of data communications and mobile communications, which could be gained in one the following units of study: ELEC3505 Communications, ELEC3506 Data Communications and the Internet, or similar units. If you are not sure, please contact the instructor. |
Semester 1 |
| ELEC5208 Intelligent Electricity Networks |
6 | A Fundamentals of Electricity Networks, Control Systems and Telecommunications |
Semester 1 |
| INFO5060 Data Analytics and Business Intelligence |
6 | A The unit is expected to be taken after introductory courses or related units such as COMP5206 Information Technologies and Systems Note: Department permission required for enrolment |
Intensive January Intensive July |
| ITLS5000 Foundations of Supply Chain Management |
6 | N TPTM6155 or TPTM5001 |
Semester 1 Semester 2 |
| ITLS5100 Transport and Infrastructure Foundations |
6 | N TPTM6241 This is the foundation unit for the Master of Transport and should be completed in the first period of study. |
Semester 1 Semester 2 |
| ITLS5200 Quantitative Logistics and Transport |
6 | C ITLS5000 or TPTM5001 or ITLS5100 or TPTM6241 N TPTM6495 |
Semester 1 Semester 2 |
| ITLS6002 Supply Chain Planning and Design |
6 | P ITLS5200 or TPTM6495 or STAT5002 C ITLS5000 or TPTM5001 N TPTM6190 |
Semester 1 Semester 2 |
| ITLS6007 Disaster Relief Operations |
6 | N TPTM6390 |
Intensive July |
| ITLS6102 Transport Modelling and Forecasting |
6 | C ITLS5200 or TPTM6495 N TPTM6350 |
Semester 2 |
| ITLS6107 Applied GIS and Spatial Data Analytics |
6 | N TPTM6180 This unit assumes no prior knowledge of GIS; the unit is hands-on involving the use of software, which students will be trained in using. |
Semester 2 |
| QBUS5001 Quantitative Methods for Business |
6 | A Students should be capable of reading data in tabulated form and working with Microsoft EXCEL and doing High School level of mathematics N ECMT5001 or QBUS5002 |
Semester 1 Semester 2 |
| QBUS6810 Statistical Learning and Data Mining |
6 | P BUSS6002 |
Semester 1 Semester 2 |
| QBUS6840 Predictive Analytics |
6 | P (QBUS5001 or ECMT5001) and BUSS6002 |
Semester 1 Semester 2 |
Research Methods |
|||
| For the Research Methods specialisation select an additional 12 credit points from any other elective in this table. | |||
| CSYS5060 Complex Systems Research Project A |
6 | P CSYS5010 |
Semester 1 Semester 2 |
| CSYS5061 Complex Systems Research Project B |
6 | P CSYS5010 C CSYS5060. Research Project A is meant to be done before or in parallel with Research Project B |
Semester 1 Semester 2 |