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CS5208 - Advanced Water Resource System Planning and Management

Credit points: 3
Year: 2020
Student Contribution Band: Band 2
Administered by: College of Science and Engineering

Overview of water resources systems planning and management; mathematical modelling of water resources systems for planning and management; basic modelling of surface and groundwater systems; water quality modelling; interpretation of results; modelling uncertainties and quantification quantifying reliability; modelling methods: simulation and optimization; classical and evolutionary optimization algorithms; application of artificial intelligence and meta models; application of probability and statistics; ensembles; fuzzy optimization; multiple criteria optimization and decisions models; Pareto optimal trade-offs and decision makers' utility functions; evaluation of optimal alternatives and economic values; advanced topics.

Learning Outcomes

  • define the complex interaction and integration of different components of water resources systems related to natural processes, economics, stakeholders, and environmental values;
  • identify and assess risks and estimate reliability of predictions;
  • apply modelling techniques and quantify ubiquitous uncertainties and interpretation of the outcomes;
  • develop the ability to create, defining and select best solution from a suitable set of efficient alternatives solutions to water resources related engineering problems;
  • analyse and quantify the trade-offs in multiple criteria decision and quantify the associated uncertainties;
  • plan and manage water resources systems integrating surface water, groundwater, and water quality components.

Subject Assessment

  • Invigilated > End of semester exam - (50%)
  • Invigilated > Presentations - (20%)
  • Non-Invigilated > Assignments - (30%).
Prerequisites: CS2002 OR CS5402


Townsville, Study Period 1, Internal
Census Date 26-Mar-2020
Coord/Lect: Dr Bithin Datta.
Workload expectations:

The student workload for this 3 credit point subject is approximately 130 hours.

  • 39 hours lectures
  • 26 hours tutorials
  • assessment and self-directed study

Note: Minor variations might occur due to the continuous Subject quality improvement process, and in case of minor variation(s) in assessment details, the Subject Outline represents the latest official information.