Analysis of Environmental Data 2

About this programme

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. Knowledge corresponding to 120 HP including - 60 HP in Forestry Science or - 60 HP in Biology or - 60 HP in Environmental Science or - 60 HP in Natural Resource Management or - 60 HP in Forest Management or - 60 HP in Soil Science or including 7.5 hp in data analysis methods and English 6. Finalized by: Programnämnden för utbildning inom skog (PN-S), 2022-11-15 Valid from : Spring semester 2024 (2024-01-15)