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701-3003-00L 3 Credits MSC D-USYS
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Environmental Systems Data Science: Machine Learning

Lecturers: Prof. Dr. Loïc Pellissier
Examiners: Prof. Dr. Loïc Pellissier, Dr. Michele Volpi, Dr. Camille Pierre Albouy
Does not take place this semester.
VVZ CR n/a

Last Updated: 2026-06-01 11:30:27

Abstract

Students are introduced to advanced data science where environmental data are analyzed using state of the art machine learning methods. Starting from known statistical approaches, they learn the principle of more advanced machine learning methods with practical application. The course enables students to plan their own data science project in their specialization and to apply machine learning mode

Objective

The students are able to • select an appropriate model related to a research question and dataset • describe the steps from data preparation to running and evaluating models • prepare data for running machine learning with dependent and independent variable • build and validate regressions and neural network models • understand convolution and deep learning models • access online resources to keep up with the latest data science methodology and deepen their understanding

Content

• The data science workflow • Data preparation for running and validating machine learning models • Get to know machine learning approaches including regression, random forest and neural network • Model complexity and hyperparameters • Model parameterization and loss • Model evaluations and uncertainty • Deep learning with convolutions

Resources

Literature

Building on existing data science resources

General Information

Language
English
Levels
MSC
Frequency
Yearly recurring

Examination

Type
ungraded semester performance
To pass the course, you need to complete at least 4 exercises (incl. peer-review!) with at least 60 points and complete 2 applications.

Registration & Places

Max Places
80
Signup Start
27.08.2025
Priority: Registration for the course unit is until 19.09.2025 only possible for the primary target group

Course Components

Type Title Time & Place Hours
lecture with exercise Environmental Systems Data Science: Machine Learning
Does not take place this semester. Semester change: This course unit will next be offered in spring semester 26.
No time listed 1 h weekly

Offered In