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Analysis of Environmental Data 2

This distance course is aimed at those who want to learn more about how to handle and analyse big datasets. The course focuses on combining spatial data with machine learning to analyse forest land and environmental data from different aspects. The course consists of lectures and individual exercises where you get to apply the methods to real data from authorities and companies.

Analysis of environmental data 2 builds on the course analysis of environmental data 1 and aims to equip you with the tools required to handle different types of data generated from different parts of society. National laser scans, satellites, and forest machines are some examples of modern data sources that are used both in research and business. In the course, you will learn to combine different data sources with field inventories to implement leading machine learning methods.

The course is structured into different modules where each module contains a lecture, an introductory example, and an individual task where you independently apply the method to new data. Through practical exercises, you get the best possible opportunities for increased learning.

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The course evaluation is open between 2024-05-26 and 2024-06-16

Syllabus and other information

Course facts

The course is offered as an independent course: Yes The course is offered as a programme course: Management of Fish and Wildlife Populations - Master's Programme Forest Ecology and Sustainable Management - mastersprogramme Tuition fee: Tuition fee only for non-EU/EEA/Switzerland citizens: 19030 SEK Cycle: Master’s level (A1N)
Subject: Forestry Science Biology
Course code: SV0020 Application code: SLU-30257 Location: Location independent Distance course: Yes Language: English Responsible department: Department of Forest ecology and Management Pace: 25%