Einführung in Machine Learning und Anwendungen in der Hydraulik und Hydromorphologie

What it is about

You learn the fundamentals of machine learning and how ML models are built and applied in MATLAB. The main focus is on regression, classification and neural networks as well as concrete applications in hydraulics and hydromorphology. In the end you can program simple ML models in MATLAB and apply them to real problems from hydraulics/hydromorphology.

What you will be able to do

• Understand the basic principles of machine-learning models
• Implement simple ML models in MATLAB
• Difference: regression vs. classification
• Knowledge of the structure and training algorithms of neural networks
• Apply ML to hydraulic and hydromorphological problems
• Develop an independent solution concept for a project

What the module consists of

• LecturesConveying the theoretical foundations of machine learning and the relevant mathematical prerequisites
• Practical exercises in the computer labImplementation and programming of ML models in MATLAB
• Group work/projectApplication of methods to real problems and development of a project report
• Synchronous online instruction (including computer lab)Live lectures and practical demonstrations
• Consultation hours and forumsSupport and assistance with the project work

Teaching method

• LectureIntroduction to theory and concepts
• Computer lab / practical exercisesLearning the implementation and programming of ML models in MATLAB
• Group work / project workApplication of what has been learned to real problems and promotion of independent work
• Consultation hours and forumsClarification of open questions and supervision of the project work