Courses and teaching

Teaching civil engineers to compute, model, and decide.

My teaching connects engineering fundamentals with programming, modelling software, data, and the careful interpretation of results.

From first principles to practical workflows.

I use computational examples to help students see how an engineering idea becomes an algorithm, a model, and finally a defensible decision.

The areas below reflect current and recent teaching. Formal course titles and semester offerings may vary.

Using Python and MATLAB to translate engineering logic into clear, testable computational solutions.

From governing principles and element formulation to assembly, boundary conditions, and interpretation.

Model creation, assumptions, analysis workflows, and engineering checks using structural solvers.

Spatial data, mapping, and geospatial analysis for infrastructure, hazards, and the built environment.

Planning, scheduling, resource thinking, economic evaluation, and evidence-based project decisions.

Physical understanding of stress, strain, deformation, and structural response as a basis for analysis.

Understand the theory

Start from mechanics, assumptions, governing principles, and the limits of each model.

Build the computation

Translate the engineering logic into transparent code, models, and reproducible workflows.

Interpret responsibly

Verify results, question sensitivity, and connect numerical output with engineering judgment.

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