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This course introduces students to robust practices for the quality-assured application of mathematical models in engineering problem solving. Using simple ODE, machine-learning, and generative AI models drawn from Civil Engineering subdisciplines, students will apply a structured approach to model design, testing and utilisation, including key steps of conceptualisation, verification & validation, calibration, prediction, and uncertainty analysis. By the end of this course, students will appreciate the importance of modelling for solving engineering problems, its limitations, and how model insights must be weighed against financial, sociocultural and legal considerations.
ENCN304, ENCI199, ENCN281, ENCN253, ENCN242, ENCN231, ENCN221, ENCN213, ENCN205, ENCN201, EMTH210
ENCI604
Students must attend one activity from each section.
Domestic fee $1,344.00
International fee $6,488.00
* All fees are inclusive of NZ GST or any equivalent overseas tax, and do not include any programme level discount or additional course-related expenses.
For further information see Civil and Environmental Engineering .