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4 course outlines found

1

ENGSCI 721

: Data-centric Engineering for Physical Systems
2023 Semester Two (1235)
Mathematical modelling of complex physical systems, including model development, parameterisation and evaluation, illustrated using examples from current research and industry. Inverse problems and uncertainty quantification for physical models in engineering and science, including principles of uncertainty propagation for linear and nonlinear physical models given real-world data, and connections to physics-informed machine learning.
Subject: Engineering Science
Prerequisite: Departmental approval
2

ENGSCI 721

: Advanced Numerical Methods
2021 Semester Two (1215)
An advanced course on finite elements, boundary elements and finite differences.
Subject: Engineering Science
Prerequisite: Departmental approval
3

ENGSCI 721

: Data-centric Engineering for Physical Systems
2024 Semester Two (1245)
Mathematical modelling of complex physical systems, including model development, parameterisation and evaluation, illustrated using examples from current research and industry. Inverse problems and uncertainty quantification for physical models in engineering and science, including principles of uncertainty propagation for linear and nonlinear physical models given real-world data, and connections to physics-informed machine learning.
Subject: Engineering Science
Prerequisite: 15 points from COMPSCI 101, ENGGEN 131, MATHS 162, 199; and either 15 points from ENGSCI 311, 313, 314, or MATHS 260 and either STATS 210 or 225

Outline is not available yet

4

ENGSCI 721

: Data-centric Engineering for Physical Systems
2022 Semester Two (1225)
Mathematical modelling of complex physical systems, including model development, parameterisation and evaluation, illustrated using examples from current research and industry. Inverse problems and uncertainty quantification for physical models in engineering and science, including principles of uncertainty propagation for linear and nonlinear physical models given real-world data, and connections to physics-informed machine learning.
Subject: Engineering Science
Prerequisite: Departmental approval

Outline is not available yet