Coastal Foundations
Core coastal terminology, scales, maps and conservation principles.
6 lessons
Engineering SystemsUndergraduate · Master · Doctoral
KN Coastal Systems
Coastal Engineering · Numerical Modelling · Doctoral ResearchKN Coastal SystemsUndergraduate · Master · Doctoral
Coastal Engineering
A structured coastal-engineering pathway from undergraduate physics and numerical modelling to doctoral research, scientific publication and dissertation defense.
74Lessons
10Learning levels
151hStructured study
1Interactive lab
Learning tracks
From coastal physics to independent doctoral research
Hydrodynamics
Tides, estuarine flow, shallow-water equations and model boundaries.
6 lessons
Salinity Intrusion
Transport, mixing, stratification and salinity-threshold analysis.
6 lessons
Waves and Sediment
Wave transformation, bed stress and sediment-transport fundamentals.
6 lessons
Numerical Modelling
Computational grids, stability, calibration, validation and uncertainty.
6 lessons
Coastal Data and GIS Practice
Acquire, digitise, geolocate, quality-control and package defensible coastal datasets.
8 lessons
Advanced Coastal Science and Research Methods
Original contribution, advanced physics, multi-scale modelling, inference, experiments and hybrid intelligence.
8 lessons
Doctoral Research Studio and Dissertation
Compound risk, nature-based systems, open science, candidacy, publication, leadership, synthesis and defense.
8 lessons
Doctoral Admission, Progress and Completion
Admission, supervision, doctoral education, progression, originality, publication, dissertation and defense.
8 lessons
Doctoral Education Studio
An evidence-led development programme across discipline-related, research and transferable skills, tailored to coastal engineering and numerical modelling.
12 lessons
Featured laboratory
KN Mekong Salinity Lab
Explore salinity, water level, flow velocity, stations and validation metrics through model time.
March 2016 case study
Vam Kenh · Hoa Binh · My Tho
ME · RMSE · NSE · R²
Learn
Theory, equations, units and worked examples.
Model
Data, grids, boundary conditions and diagnostics.
Apply
Cases, scenarios, uncertainty and decisions.