Computational Modelling
Develop, select and apply algorithms and advanced computational methods to enable systems or software agents to learn, improve, adapt and produce desired outcomes or tasks. This also involves the interpretation of data, including the application of data modelling techniques to explore and address a specific issues or requirements
Type
Domain
Competency Area
Development and Implementation
Levels
Identify statistical patterns and derive algorithms
Identify appropriate statistical algorithms and data models to test hypotheses or theories
Use appropriate analytics platforms and analytical tools given
Identify data models to test hypotheses and derive patterns or solutions
Develop and etsablish algorithms with sufficient data
Evaluate prospective analytical tools and platforms for their functional capabilities and ability to meet requirements of the analytic environment
Develop and utilise new algorithms and advanced statistical models to enable the production of desired outcomes
Create and develop hypothesis and manage data to prove/disprove
Design advanced statistical algorithms and their application
Direct data analytics and statistical modelling efforts across the organisation
Make decisions on appropriate data analytics and computational
Design advanced statistical and computational models, and spearhead the application of algorithms and modelling techniques to new domains